Journal Articles
2020(1 publication)
[publication]J. Fernandes and Duarte Raposo and Ngombo Armando and Sinche Soraya and Jorge Sá Silva and Rodrigues, A. and Vasco Pereira and Gonçalo Oliveira, H,  and Macedo, L. and Boavida, F. , "ISABELA – A Socially-Aware Human-in-the-Loop Advisor System", Online Social Networks and Media,  vol. 16,  pp. 100060-100060, 2020

2019(1 publication)
[publication]Lino, A.D.P. and Rocha, Á. and Macedo, L. and Sizo, A. , "Application of clustering-based decision tree approach in SQL query error database", Future Generation Computer Systems,  vol. 93,  pp. 392-406, 2019
[citation][year=2020]Natarajan, J. (2020). Cyber Secure Man-in-the-Middle Attack Intrusion Detection Using Machine Learning Algorithms. In AI and Big Data’s Potential for Disruptive Innovation (pp. 291-316). IGI Global.
[citation][year=2020]Phillips, I. J. (2020). Maintaining Small Retail Business Profitability by Reducing Cyberattacks.
[citation][year=2020]RAMAKRISHNAN, V., & PALANISAMY, C. BIBSQLQC: Brown infomax boosted SQL query clustering algorithm to detect anti-patterns in the query log.
[citation][year=2020]Szüle, B. (2019). Klaszterszám-meghatározási módszerek összehasonlítása. STATISZTIKAI SZEMLE, 97(5), 421-438.
[citation][year=2019]Yang, L., Tian, L., & Zhang, L. (2019, November). Research on Freshman Registration Prediction Based on Machine Learning. In 2019 2nd International Conference on Safety Produce Informatization (IICSPI) (pp. 465-467). IEEE.
[citation][year=2019]Smith, S. D. (2019). Strategies to Reduce the Fiscal Impact of Cyberattacks.

2017(3 publications)
[publication]Silva, A.R.S.e. and Pinho, M.S. and Macedo, L. and Moulin, C. and Caldeira, S. and Firmino, H. , "It is not only memory: effects of sensecam on improving well-being in patients with mild alzheimer disease", International Psychogeriatrics,  pp. 1-14, 2017
[citation][year=2020]Ceci, C., Symonds Brown, H., & Judge, H. (2020). Rethinking the assumptions of intervention research concerned with care at home for people with dementia. Dementia, 19(3), 861-877.
[citation][year=2020]Reddy, K. V., Sreenivas, G. M., Abhishek, C., & Swarnalatha, P. (2020). Mobile Application for Alzheimer’s Patients. In Soft Computing for Problem Solving (pp. 823-834). Springer, Singapore.
[citation][year=2020]Small, J. A., & Cochrane, D. (2020). Spaced Retrieval and Episodic Memory Training in Alzheimer’s Disease. Clinical Interventions in Aging, 15, 519.
[citation][year=2020]Moura, F. P., & Hamdan, A. C. (2020). Relations between subjective well-being and Alzheimer’s disease: A systematic review. Dementia & Neuropsychologia, 14(2), 153-158.
[citation][year=2020]Stavropoulos, T. G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., & Kompatsiaris, I. (2020). IoT wearable sensors and devices in elderly care: a literature review. Sensors, 20(10), 2826.
[citation][year=2020]Selwood, A., Bennett, J., Conway, M. A., Loveday, C., & Kuchelmeister, V. (2020). Mnemoscape: Supporting Older Adults’ Event Memory Using Wearable Camera Photographs on an Immersive Interface. Gerontology, 1-11.
[citation][year=2020]Babiarz, R., Haden, B., Karlin, S., Mark, J., Williams, A., Ferraro, M., & Potvin, M. C. (2020). A Systematic Review of the Efficacy of Cognitive Stimulation Therapy (CST) on Quality of Life in Persons with Dementia.
[citation][year=2020]Gelonch, O., Cano, N., Vancells, M., Bolaños, M., Farràs-Permanyer, L., & Garolera, M. (2020). The Effects of Exposure to Recent Autobiographical Events on Declarative Memory in Amnestic Mild Cognitive Impairment: A Preliminary Pilot Study. Current Alzheimer Research, 17(2), 158-167.
[citation][year=2020]Goodall, G., Taraldsen, K., & Serrano, J. A. (2020). The use of technology in creating individualized, meaningful activities for people living with dementia: A systematic review. Dementia, 1471301220928168.
[citation][year=2019]Scott, I., Cooper, C., Leverton, M., Burton, A., Beresford?Dent, J., Rockwood, K., ... & Rapaport, P. (2019). Effects of nonpharmacological interventions on functioning of people living with dementia at home: A systematic review of randomised controlled trials. International journal of geriatric psychiatry, 34(10), 1386-1402.
[citation][year=2019]Hildebrandt, H. (2019). Cognitive Rehabilitation of Memory: A Clinical-neuropsychological Introduction. Academic Press.
[citation][year=2018]Doraiswamy, P. M., Narayan, V. A., & Manji, H. K. (2018). Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials. NPJ digital medicine, 1(1), 1-4.
[citation][year=2018]Oznur, K., Kamile, K., & Ismail, T. To Make People With Dementia Forget About Forgetting: Experiences from a Daily Care Center. LOJ Nur Heal Car 1 (2)-2018. LOJNHC. MS. ID, 107.
[citation][year=2018]Taniguchi, K., & Nishikawa, A. (2018). Mouthwitch: A Novel Head Mount Type Hands-Free Input Device that Uses the Movement of the Temple to
[citation][year=2017]Chow, T. E., & Rissman, J. (2017). Neurocognitive mechanisms of real-world autobiographical memory retrieval: insights from studies using wearable camera technology. Annals of the New York Academy of Sciences, 1396(1), 202-221.
[citation][year=2017]Smart, P., Clowes, R. W., & Heersmink, R. (2017). Minds online: The interface between Web science, cognitive science, and the philosophy of mind.
[citation][year=2017]Lin, C., Zhou, Z., Xu, J., Li, Q., Guo, J., Long, M., ... & Zhang, Y. (2017). Changes of brain activity during a functional magnetic resonance imaging stroop task study: Effect of Chinese herbal formula in Alzheimer’s disease. European Journal of Integrative Medicine, 16, 46-53.

[publication]Silva, A.R.S.e. and Pinho, M.S. and Macedo, L. and Moulin, C. , "The cognitive effects of wearable cameras in Mild Alzheimer disease - An experimental study.", Current Alzheimer Research,  vol. 14,  pp. 1270-1282, 2017
[citation][year=2020]O'Neill, B. 14. Uso de las nuevas tecnologías en la. Principios de rehabilitación neuropsicológica.
[citation][year=2020]Vilar, D. M. UC/FPCE.
[citation][year=2020]Selwood, A., Bennett, J., Conway, M. A., Loveday, C., & Kuchelmeister, V. (2020). Mnemoscape: Supporting Older Adults’ Event Memory Using Wearable Camera Photographs on an Immersive Interface. Gerontology, 1-11.
[citation][year=2019]Hildebrandt, H. (2019). Cognitive Rehabilitation of Memory: A Clinical-neuropsychological Introduction. Academic Press.
[citation][year=2018]Spínola, M. P. G. (2018). Cognitive function in healthy aging–the effects of cognitive training combined with Transcranial Direct Current Stimulation (tDCS) (Doctoral dissertation, Universidade de Coimbra).

[publication]Macedo, L. and Amilcar Cardoso , "A Contrast-Based Computational Model of Surprise and Its Applications", Topics in Cognitive Science, 2017
[citation][year=2020]Simandan, D. (2020). Being surprised and surprising ourselves: a geography of personal and social change. Progress in Human Geography, 44(1), 99-118.
[citation][year=2020]Vignero, L., & Demey, L. (2020). The perfect surprise: a new analysis in dynamic epistemic logic. Logic Journal of the IGPL, 28(3), 341-362.
[citation][year=2019]Reisenzein, R., Horstmann, G., & Schützwohl, A. (2019). The cognitive?evolutionary model of surprise: A review of the evidence. Topics in cognitive science, 11(1), 50-74.
[citation][year=2019]Gerten, J., & Topolinski, S. (2019). Shades of surprise: Assessing surprise as a function of degree of deviance and expectation constraints. Cognition, 192, 103986.
[citation][year=2019]Munnich, E. L., Foster, M. I., & Keane, M. T. (2019). Editors’ Introduction and Review: An Appraisal of Surprise: Tracing the Threads That Stitch It Together. Topics in cognitive science, 11(1), 37-49.
[citation][year=2017]Schutzwohl, A., Reisenzein, R., & Horstmann, G. (2017). The Cognitive-Evolutionary Model of Surprise: A Review of the Evidence.

2016(2 publications)
[publication]Silva, A.R.S.e. and Pinho, M.S. and Macedo, L. and Moulin, C. , "A critical review of the effects of wearable cameras on memory", Neuropsychological Rehabilitation,  pp. 1-25, 2016
[citation][year=2020]Storm, B. C., & Soares, J. S. Memory in the digital age.
[citation][year=2020]McAndrews, M. P., Cohn, M., & Gold, D. A. (2020). Infusing cognitive neuroscience into the clinical neuropsychology of memory. Current Opinion in Behavioral Sciences, 32, 94-101.
[citation][year=2020]Folville, A., Jeunehomme, O., Bastin, C., & D'Argembeau, A. (2020). The impact of age on the temporal compression of daily life events in episodic memory. Psychology and Aging.
[citation][year=2020]Small, J. A., & Cochrane, D. (2020). Spaced Retrieval and Episodic Memory Training in Alzheimer’s Disease. Clinical Interventions in Aging, 15, 519.
[citation][year=2020]Dassing, R., Allé, M. C., Cerbai, M., Obrecht, A., Meyer, N., Vidailhet, P., ... & Berna, F. (2020). Cognitive Intervention Targeting Autobiographical Memory Impairment in Patients With Schizophrenia Using a Wearable Camera: A Proof-of-Concept Study. Frontiers in Psychiatry, 11, 397.
[citation][year=2020]Selwood, A., Bennett, J., Conway, M. A., Loveday, C., & Kuchelmeister, V. (2020). Mnemoscape: Supporting Older Adults’ Event Memory Using Wearable Camera Photographs on an Immersive Interface. Gerontology, 1-11.
[citation][year=2020]Gelonch, O., Cano, N., Vancells, M., Bolaños, M., Farràs-Permanyer, L., & Garolera, M. (2020). The Effects of Exposure to Recent Autobiographical Events on Declarative Memory in Amnestic Mild Cognitive Impairment: A Preliminary Pilot Study. Current Alzheimer Research, 17(2), 158-167.
[citation][year=2019]Jeunehomme, O., & D’Argembeau, A. (2019). The time to remember: Temporal compression and duration judgements in memory for real-life events. Quarterly Journal of Experimental Psychology, 72(4), 930-942.
[citation][year=2019]Van Overwalle, F., Manto, M., Leggio, M., & Delgado-García, J. M. (2019). The sequencing process generated by the cerebellum crucially contributes to social interactions. Medical hypotheses, 128, 33-42.
[citation][year=2019]Oliveira-Barra, G., Bolaños, M., Talavera, E., Gelonch, O., Garolera, M., & Radeva, P. (2019). Lifelog retrieval for memory stimulation of people with memory impairment. In Multimodal Behavior Analysis in the Wild (pp. 135-158). Academic Press.
[citation][year=2019]Hildebrandt, H. (2019). Cognitive Rehabilitation of Memory: A Clinical-neuropsychological Introduction. Academic Press.
[citation][year=2019]Maddison, R., Cartledge, S., Rogerson, M., Goedhart, N. S., Singh, T. R., Neil, C., ... & Ball, K. (2019). Usefulness of wearable cameras as a tool to enhance chronic disease self-management: scoping review. JMIR mHealth and uHealth, 7(1), e10371.
[citation][year=2019]Gelonch, O., Ribera, M., Codern-Bové, N., Ramos, S., Quintana, M., Chico, G., ... & Garolera, M. (2019). Acceptability of a lifelogging wearable camera in older adults with mild cognitive impairment: a mixed-method study. BMC geriatrics, 19(1), 110.
[citation][year=2019]Mair, A., Poirier, M., & Conway, M. A. (2019). Memory for staged events: supporting older and younger adults’ memory with SenseCam. Quarterly Journal of Experimental Psychology, 72(4), 717-728.
[citation][year=2019]Blaskovits, B., & Bennell, C. (2019). Exploring the Potential Impact of Body Worn Cameras on Memory in Officer-Involved Critical Incidents: a Literature Review. Journal of Police and Criminal Psychology, 1-12.
[citation][year=2018]Jeunehomme, O., Folville, A., Stawarczyk, D., Van der Linden, M., & D’Argembeau, A. (2018). Temporal compression in episodic memory for real-life events. Memory, 26(6), 759-770.
[citation][year=2018]Misra, P., Marconi, A., Peterson, M., & Kreiman, G. (2018). Minimal memory for details in real life events. Scientific reports, 8(1), 1-11.
[citation][year=2018]Hu, F., & Smeaton, A. F. (2018, February). Image aesthetics and content in selecting memorable keyframes from lifelogs. In International Conference on Multimedia Modeling (pp. 608-619). Springer, Cham.
[citation][year=2018]Tullis, J. G., & Finley, J. R. (2018). Self-generated memory cues: effective tools for learning, training, and remembering. Policy Insights from the Behavioral and Brain Sciences, 5(2), 179-186.
[citation][year=2018]Cinel, C., Cortis Mack, C., & Ward, G. (2018). Towards augmented human memory: Retrieval-induced forgetting and retrieval practice in an interactive, end-of-day review. Journal of Experimental Psychology: General, 147(5), 632.
[citation][year=2018]Finley, J. R., Naaz, F., & Goh, F. W. (2018). Results: Behaviors and Experiences with Internal and External Memory. In Memory and Technology (pp. 25-48). Springer, Cham.
[citation][year=2018]Finley, J. R., Naaz, F., & Goh, F. W. (2018). Results: The Interplay Between Internal and External Memory. In Memory and Technology (pp. 49-72). Springer, Cham.
[citation][year=2018]Finley, J. R., Naaz, F., & Goh, F. W. (2018). Theoretical Perspectives from Other Disciplines. In Memory and Technology (pp. 103-135). Springer, Cham.
[citation][year=2018]Mair, A. Memory for staged events: supporting older and younger adults’ memory with SenseCam (2018). Ali Mair, Marie Poirier, and Martin A. Conway Department of Psychology, City, University of London, UK.
[citation][year=2018]Taniguchi, K., & Nishikawa, A. (2018). Mouthwitch: A Novel Head Mount Type Hands-Free Input Device that Uses the Movement of the Temple to Control a Camera. Sensors, 18(7), 2273.
[citation][year=2018]Finley, J. R., Naaz, F., & Goh, F. W. (2018). Theoretical Perspectives from Across Psychology. In Memory and Technology (pp. 75-102). Springer, Cham.
[citation][year=2018]Finley, J. R., Naaz, F., & Goh, F. W. (2018). Results: Attitudes and Beliefs About Internal and External Memory. In Memory and Technology (pp. 15-24). Springer, Cham.
[citation][year=2017]Chow, T. E., & Rissman, J. (2017). Neurocognitive mechanisms of real-world autobiographical memory retrieval: insights from studies using wearable camera technology. Annals of the New York Academy of Sciences, 1396(1), 202-221.
[citation][year=2017]Hong, B. (2017). A Novel Digital Memory Augmentation Device to Improve Autobiographical Memory in Older Adults (Doctoral dissertation).
[citation][year=2017]Mair, A. (2017). Effects of age on autobiographical memory (Doctoral dissertation, City, University of London).
[citation][year=2017]Mair, Ali, Marie Poirier, and Martin A. Conway. "Supporting older and younger adults’ memory for recent everyday events: A prospective sampling study using SenseCam." Consciousness and Cognition 49 (2017): 190-202.
[citation][year=2016]Molesworth, S., & Sharrock, L. (2016). An Evaluation of" Autographer plus Flo.
[citation][year=2016]Kestens, Yan, Benoit Thierry, and Basile Chaix. "Re-creating daily mobility histories for health research from raw GPS tracks: Validation of a kernel-based algorithm using real-life data." Health & place 40 (2016): 29-33.

[publication]Silva, A.R.S.e. and Pinho, M.S. and Macedo, L. and Moulin, C. , "Mnemonic anosognosia in Alzheimer’s disease is caused by a failure to transfer online evaluations of performance: Evidence from memory training programs", Journal of Clinical and Experimental Neuropsychology,  pp. 1-15, 2016
[citation][year=2020]Chi, S. Y. (2020). Applying a Metacognitive Framework in the Neuropsychological Assessment of Subjective Cognitive Decline and Mild Cognitive Impairment.
[citation][year=2020]Lenzoni, S., Morris, R. G., & Mograbi, D. C. (2020). The Petrified Self 10 Years After: Current Evidence for Mnemonic anosognosia. Frontiers in Psychology, 11, 465.
[citation][year=2019]Ryals, A. J., O’Neil, J. T., Mesulam, M. M., Weintraub, S., & Voss, J. L. (2019). Memory awareness disruptions in amnestic mild cognitive impairment: comparison of multiple awareness types for verbal and visuospatial material. Aging, Neuropsychology, and Cognition, 26(4), 577-598.
[citation][year=2019]Bertrand, J. M., Mazancieux, A., Moulin, C. J., Béjot, Y., Rouaud, O., & Souchay, C. (2019). In the here and now: Short term memory predictions are preserved in Alzheimer's disease. cortex, 119, 158-164.
[citation][year=2019]Dutzi, I., Schwenk, M., Kirchner, M., Bauer, J. M., & Hauer, K. (2019). “What would you like to achieve?” Goal-Setting in Patients with Dementia in Geriatric Rehabilitation. BMC geriatrics, 19(1), 280.
[citation][year=2019]Guerrier, L. (2019). Substrats cognitifs et neuronaux de l'anosognosie dans la maladie d'Alzheimer typique et atypique: étude en neuropsychologie et imagerie multimodale (Doctoral dissertation, Université de Toulouse, Université Toulouse III-Paul Sabatier).
[citation][year=2018]Guerrier, L., Le Men, J., Gane, A., Planton, M., Salabert, A. S., Payoux, P., ... & Pariente, J. (2018). Involvement of the cingulate cortex in anosognosia: A multimodal neuroimaging study in Alzheimer’s disease patients. Journal of Alzheimer's Disease, 65(2), 443-453.
[citation][year=2018]Diaz, T. P. (2018). Deficits of Awareness in Alzheimer’s disease.
[citation][year=2018]Perilli, V., Stasolla, F., Maselli, S., & Morelli, I. (2018). Assistive Technology and Cognitive-behavioral Programs For Promoting Adaptive Skills of Persons With Alzheimer Disease: A Selective Review. Journal of Neurological Research and Therapy, 2(3), 14.

2013(1 publication)
[publication]Silva, A.R.S.e. and Pinho, M.S. and Macedo, L. and Moulin, C. , "Benefits of SenseCam Review on Neuropsychological Test Performance", American journal of preventive medicine,  vol. 44,  pp. 302-307, 2013
[citation][year=2020]Maldonado, T., Orr, J. M., Goen, J. R., & Bernard, J. A. (2020). Age differences in the subcomponents of executive functioning. The Journals of Gerontology: Series B, 75(6), e31-e55.
[citation][year=2020]Gelonch, O., Cano, N., Vancells, M., Bolaños, M., Farràs-Permanyer, L., & Garolera, M. (2020). The Effects of Exposure to Recent Autobiographical Events on Declarative Memory in Amnestic Mild Cognitive Impairment: A Preliminary Pilot Study. Current Alzheimer Research, 17(2), 158-167.
[citation][year=2020]Storm, B. C., & Soares, J. S. Memory in the digital age.
[citation][year=2019]Costa, J., Guimbretière, F., Jung, M. F., & Choudhury, T. (2019). Boostmeup: Improving cognitive performance in the moment by unobtrusively regulating emotions with a smartwatch. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(2), 1-23.
[citation][year=2019]Aguileta, A. A., Brena, R. F., Mayora, O., Molino-Minero-Re, E., & Trejo, L. A. (2019). Virtual Sensors for Optimal Integration of Human Activity Data. Sensors, 19(9), 2017.
[citation][year=2019]Hildebrandt, H. (2019). Cognitive Rehabilitation of Memory: A Clinical-neuropsychological Introduction. Academic Press.
[citation][year=2019]Blaskovits, B., & Bennell, C. (2019). Exploring the Potential Impact of Body Worn Cameras on Memory in Officer-Involved Critical Incidents: a Literature Review. Journal of Police and Criminal Psychology, 1-12.
[citation][year=2019]Mair, A., Poirier, M., & Conway, M. A. (2019). Memory for staged events: supporting older and younger adults’ memory with SenseCam. Quarterly Journal of Experimental Psychology, 72(4), 717-728.
[citation][year=2019]dos Reis Costa, J. M. (2019). Mobile Technologies for Implicit Self-Regulation (Doctoral dissertation, Cornell University).
[citation][year=2019]Bahrainian, S. A. (2019). Just-in-time information retrieval and summarization for personal assistance (Doctoral dissertation, Università della Svizzera italiana).
[citation][year=2018]Xu, Q., Subbaraju, V., Cheong, C. H., Wang, A., Kang, K., Bashir, M., ... & Lim, J. H. (2018, October). Personalized Serious Games for Cognitive Intervention with Lifelog Visual Analytics. In Proceedings of the 26th ACM international conference on Multimedia (pp. 328-336).
[citation][year=2018]Cinel, C., Cortis Mack, C., & Ward, G. (2018). Towards augmented human memory: Retrieval-induced forgetting and retrieval practice in an interactive, end-of-day review. Journal of Experimental Psychology: General, 147(5), 632.
[citation][year=2018]Taniguchi, K., & Nishikawa, A. (2018). Mouthwitch: A Novel Head Mount Type Hands-Free Input Device that Uses the Movement of the Temple to Control a Camera. Sensors, 18(7), 2273.
[citation][year=2018]Maldonado, T., Orr, J. M., Goen, J. R., Eakin, S. M., & Bernard, J. A. (2018). Age Differences in the Subcomponents of the Unity-Diversity Model of Executive Functioning.
[citation][year=2018]Drivet, A. (2018). Wearable Cameras. In Wearable Technologies: Concepts, Methodologies, Tools, and Applications (pp. 489-516). IGI Global.
[citation][year=2017]Chow, T. E., & Rissman, J. (2017). Neurocognitive mechanisms of real-world autobiographical memory retrieval: insights from studies using wearable camera technology. Annals of the New York Academy of Sciences, 1396(1), 202-221.
[citation][year=2017]Bernal, E. A., Yang, X., Li, Q., Kumar, J., Madhvanath, S., Ramesh, P., & Bala, R. (2017). Deep temporal multimodal fusion for medical procedure monitoring using wearable sensors. IEEE Transactions on Multimedia, 20(1), 107-118.
[citation][year=2017]Allé, M. C., Manning, L., Potheegadoo, J., Coutelle, R., Danion, J. M., & Berna, F. (2017). Wearable cameras are useful tools to investigate and remediate autobiographical memory impairment: A systematic PRISMA review. Neuropsychology Review, 27(1), 81-99.
[citation][year=2017]Mair, A., Poirier, M., & Conway, M. A. (2017). Supporting older and younger adults’ memory for recent everyday events: A prospective sampling study using SenseCam. Consciousness and cognition, 49, 190-202.
[citation][year=2017]Davies, N., Clinch, S., Mikusz, M., Bates, O., Turner, H., & Friday, A. (2017, June). Better off: when should pervasive displays be powered down?. In Proceedings of the 6th ACM International Symposium on Pervasive Displays (pp. 1-9).
[citation][year=2017]Mair, A. (2017). Effects of age on autobiographical memory (Doctoral dissertation, City, University of London).
[citation][year=2017]Hong, B. (2017). A Novel Digital Memory Augmentation Device to Improve Autobiographical Memory in Older Adults (Doctoral dissertation).
[citation][year=2017]Mair, Ali, Marie Poirier, and Martin A. Conway. "Supporting older and younger adults’ memory for recent everyday events: A prospective sampling study using SenseCam." Consciousness and Cognition 49 (2017): 190-202.
[citation][year=2017]Allé, Mélissa C., et al. "Wearable Cameras Are Useful Tools to Investigate and Remediate Autobiographical Memory Impairment: A Systematic PRISMA Review." Neuropsychology Review (2017): 1-19.
[citation][year=2017]Harari, G. M., Müller, S. R., Mishra, V., Wang, R., Campbell, A. T., Rentfrow, P. J., & Gosling, S. D. (2017). An evaluation of students’ interest in and compliance with self-tracking methods: Recommendations for incentives based on three smartphone sensing studies. Social Psychological and Personality Science, 8(5), 479-492.
[citation][year=2017]Bahrainian, S. A., & Crestani, F. (2017, October). Are Conversation Logs Useful Sources for Generating Memory Cues for Recalling Past Memories?. In Proceedings of the 2nd Workshop on Lifelogging Tools and Applications (pp. 13-20).
[citation][year=2016]Le, Huy Viet, et al. "Impact of video summary viewing on episodic memory recall: Design guidelines for video summarizations." Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 2016.
[citation][year=2016]Wang, Peng, et al. "Characterizing everyday activities from visual lifelogs based on enhancing concept representation." Computer Vision and Image Understanding 148 (2016): 181-192.
[citation][year=2016]Dingler, Tilman, et al. "Reading-Based Screenshot Summaries for Supporting Awareness of Desktop Activities." Proceedings of the 7th Augmented Human International Conference 2016. ACM, 2016.
[citation][year=2016]Dubourg, Lydia, et al. "SenseCam: A new tool for memory rehabilitation?." Revue Neurologique 172.12 (2016): 735-747.
[citation][year=2016]Ali, Nazlena Mohamad. "User Perception towards the Use of Wearable Cameras." New Zealand Journal of Computer-Human Interaction 1.1 (2016).
[citation][year=2016]Drivet, Alessio. "Wearable Cameras." Wearable Technology and Mobile Innovations for Next-Generation Education. IGI Global, 2016. 95-121.
[citation][year=2016]Dhand, Amar, et al. "Accuracy of Wearable Cameras to Track Social Interactions in Stroke Survivors." Journal of Stroke and Cerebrovascular Diseases 25.12 (2016): 2907-2910.
[citation][year=2016]Bahrainian, Seyed Ali, and Fabio Crestani. "Cued Retrieval of Personal Memories of Social Interactions." Proceedings of the first Workshop on Lifelogging Tools and Applications. ACM, 2016.
[citation][year=2015]Stopher, Peter R., et al. "The challenge of obtaining ground truth for GPS processing." Transportation Research Procedia 11 (2015): 206-217.
[citation][year=2015]Gauthier, Stephanie, and David Shipworth. "Behavioural responses to cold thermal discomfort." Building Research & Information 43.3 (2015): 355-370.
[citation][year=2015]Bolaños Solà, Marc. Ego-Object Discovery in Lifelogging Datasets. MS thesis. Universitat Politècnica de Catalunya, 2015.
[citation][year=2015]Lewandowicz, Marta, Roma Krzymi?ska-Siemaszko, and Katarzyna Wieczorowska-Tobis. "Przegl?d metod oceny sposobu ?ywienia z wyró?nieniem metody fotografowania ?ywno?ci z mo?liwo?ci? ich zastosowania u osób starszych A review of methods of dietary assessment with the distinction of food photography method with possibility of." Geriatria 9 (2015): 3-10.
[citation][year=2015]Bahrainian, S. A., & Crestani, F. (2016, October). Cued retrieval of personal memories of social interactions. In Proceedings of the first Workshop on Lifelogging Tools and Applications (pp. 3-12).
[citation][year=2014]Clinch, Sarah, Paul Metzger, and Nigel Davies. "Lifelogging for'observer'view memories: an infrastructure approach." Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. ACM, 2014.
[citation][year=2014]Seamon, John G., et al. "SenseCam reminiscence and action recall in memory-unimpaired people." Memory 22.7 (2014): 861-866.
[citation][year=2014]Wang, Peng, Alan F. Smeaton, and Alessandra Mileo. "Semantically Enhancing Multimedia Lifelog Events." PCM. 2014.
[citation][year=2014]Gurrin, Cathal, Alan F. Smeaton, and Aiden R. Doherty. "Lifelogging: Personal big data." Foundations and Trends® in Information Retrieval 8.1 (2014): 1-125.
[citation][year=2014]Hu, F., Smeaton, A. F., & Newman, E. (2014, November). Periodicity detection in lifelog data with missing and irregularly sampled data. In 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 16-23). IEEE.
[citation][year=2014]Hu, Feiyan, Alan F. Smeaton, and Eamonn Newman. "Periodicity detection in lifelog data with missing and irregularly sampled data." Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on. IEEE, 2014.
[citation][year=2014]Hu, F., Smeaton, A. F., & Newman, E. (2014, November). Periodicity detection in lifelog data with missing and irregularly sampled data. In 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 16-23). IEEE.
[citation][year=2013]Doherty, Aiden R., et al. "Wearable cameras in health." American journal of preventive medicine 44.3 (2013): 320-323.
[citation][year=2013]Gurrin, Cathal, et al. "The smartphone as a platform for wearable cameras in health research." American journal of preventive medicine 44.3 (2013): 308-313.
[citation][year=2013]Sheats, Jylana L., et al. "Comparison of passive versus active photo capture of built environment features by technology naïve Latinos using the SenseCam and Stanford healthy neighborhood discovery tool." Proceedings of the 4th International SenseCam & Pervasive Imaging Conference. ACM, 2013.
[citation][year=2013]Hurvitz, Philip M., and More Hall. "A SMARTPHONE-BASED SYSTEM FOR AUTOMATED DETECTION OF WALKING", FINAL PROJECT REPORT, 2013.
[citation][year=2013]Doherty, A., Williamson, W., Hillsdon, M., Hodges, S., Foster, C., & Kelly, P. (2013, November). Influencing health-related behaviour with wearable cameras: strategies & ethical considerations. In Proceedings of the 4th international SenseCam & pervasive imaging conference (pp. 60-67).

2012(1 publication)
[publication]Macedo, L. and Amilcar Cardoso , "The exploration of unknown environments populated with entities by a   surprise-curiosity-based agent", Journal of Cognitive Systems Research,  vol. 19,  pp. 62-87, 2012
[citation][year=2020]Vignero, L., & Demey, L. (2020). The perfect surprise: a new analysis in dynamic epistemic logic. Logic Journal of the IGPL, 28(3), 341-362.
[citation][year=2019]Reisenzein, R., Horstmann, G., & Schützwohl, A. (2019). The cognitive?evolutionary model of surprise: A review of the evidence. Topics in cognitive science, 11(1), 50-74.
[citation][year=2019]Foster, M. I., & Keane, M. T. (2019). The role of surprise in learning: different surprising outcomes affect memorability differentially. Topics in cognitive science, 11(1), 75-87.
[citation][year=2017]Davis, D. N., & Ramulu, S. K. (2017). Reasoning with BDI Robots: From simulation to physical environment–Implementations and Limitations. Paladyn, Journal of Behavioral Robotics, 8(1), 39-57.
[citation][year=2017]Schutzwohl, A., Reisenzein, R., & Horstmann, G. (2017). The Cognitive-Evolutionary Model of Surprise: A Review of the Evidence.
[citation][year=2016]Madani, K., Sabourin, C., & Ramík, D. M. (2016). Artificial curiosity emerging human-like behavior: Toward fully autonomous cognitive robots. In Computational Intelligence (pp. 501-516). Springer, Cham.
[citation][year=2015]Wu, Qiong. "Computational Curiosity (A Book Draft)." arXiv preprint arXiv:1502.04780 (2015).
[citation][year=2015]Kalde, Nassim, Olivier Simonin, and François Charpillet. "Comparison of Classical and Interactive Multi-Robot Exploration Strategies in Populated Environments." Acta Polytechnica 55.3 (2015): 154-161.
[citation][year=2014]Ramík, Dominik M., Kurosh Madani, and Christophe Sabourin. "At Odds with Curious Cats, Curious Robots Acquire Human-Like Intelligence." Neural Networks and Artificial Intelligence. Springer International Publishing, 2014. 112-123.
[citation][year=2013]Reisenzein, R., Hudlicka, E., Dastani, M., Gratch, J., Hindriks, K., Lorini, E., Meyer, J.-J.Ch.,"Computational modeling of emotion: Toward improving the inter-and intradisciplinary exchange",2013,"IEEE Transactions on Affective Computing",4,3, 6517842,246,266,,1,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84886495049&partnerID=40&md5=a6346d0bce4d6bd348aa981e130e56fc",Article,Scopus
[citation][year=2012]Ramik, D. M. (2012). Contribution to complex visual information processing and autonomous knowledge extraction: application to autonomous robotics (Doctoral dissertation, Université Paris-Est).
[citation][year=2012]Hindriks, Koen, Emiliano Lorini, and John-Jules Ch Meyer. "Computational Modeling of Emotion: Toward Improving the Inter-and Intradisciplinary Exchange."

2008(1 publication)
[publication]Costa, R.P. and Macedo, L. , "Axon guidance simulation: a multi-agent approach", BMC Neuroscience,  vol. 9,  pp. 95, 2008

Conference Articles
2020(1 publication)
[publication]Duarte, L. and Macedo, L. and Gonçalo Oliveira, H,  , "Emoji Prediction for Portuguese", in 13th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2020), 2020
[citation][year=2020]Jiang, H., Guo, A., and Ma, J. (2020). Genre-based emoji usage analysis and prediction in video comments. In Proceedings of IEEE Joint Cyber Science and Technology 2020.

2019(4 publications)
[publication]J. Fernandes and Duarte Raposo and Sinche Soraya and Ngombo Armando and Jorge Sá Silva and Rodrigues, A. and Macedo, L. and Gonçalo Oliveira, H,  and Boavida, F. , "A Human-in-the-Loop Cyber-Physical Approach for Students' Performance Assessment", in SOCIALSENS 2019, the Fourth International Workshop on Social Sensing, Montreal, QC, Canada 15th April, 2019
[citation][year=2019]Bastos, M. V. (2019). Personality detection from the use of smartphone (Doctoral dissertation, Universidade de Coimbra).

[publication]Duarte, L. and Macedo, L. and Gonçalo Oliveira, H,  , "Exploring Emojis for Emotion Recognition in Portuguese Text", in 19th EPIA Conference on Artificial Intelligence, 2019

[publication]Lino, A.D.P. and Rocha, Á. and Macedo, L. and Sizo, A. , "LabDER - Relational Database Virtual Learning Environment", in 38th International Conference on Conceptual Modeling (ER 2019), 2019

[publication]Nuno Gil Fonseca and Macedo, L. and Antonio Jose Mendes , "A study on the students’ perspective about the usage of a programming monitoring tool", in Simpósio Internacional de Informática Educativa, 2019

2018(5 publications)
[publication]Nuno Gil Fonseca and Macedo, L. and Antonio Jose Mendes , "Supporting differentiated instruction in programming classes through permanent progress monitoring", in SIGCSE 2018, 2018
[citation][year=2019]Basawapatna, A., Repenning, A., & Savignano, M. (2019, February). The Zones of Proximal Flow Tutorial: Designing Computational Thinking Cliffhangers. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 428-434).

[publication]Nuno Gil Fonseca and Macedo, L. and Antonio Jose Mendes , "Using early plagiarism detection in programming classes to address student’s difficulties", in Simpósio Internacional de Informática Educativa, 2018
[citation][year=2019]Saoban, C., & Rimcharoen, S. (2019, July). Identifying an original copy of the source codes in programming assignments. In 2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 271-276). IEEE.

[publication]Nuno Gil Fonseca and Macedo, L. and Marcelino, M.J.P. and Antonio Jose Mendes , "Augmenting the teacher’s perspective on programming student’s performance via permanent monitoring", in 48th Annual Frontiers in Education (FIE’18) Conference, 2018

[publication]Rahul Sharma and Ribeiro, B. and A. M. Pinto and Amilcar Cardoso and Duarte Raposo and Ngombo Armando and Rodrigues, A. and Jorge Sá Silva and Gonçalo Oliveira, H,  and Macedo, L. and Boavida, F. , "Unveiling Markers of Stress Via Smartphone Usage", in Pattern Recognition (RecPad), 2018

[publication]Lino, A.D.P. and Rocha, Á. and Macedo, L. , "A virtual learning environment to evaluate entity relationship diagram automatically", in 24th Portuguese Conference on Pattern Recognition, 2018

2017(1 publication)
[publication]Nuno Gil Fonseca and Macedo, L. and Antonio Jose Mendes , "Monitoring the Progress of Programming Students Supported by a Digital Teaching Assistant", in Portuguese Conference on Artificial Intelligence, 2017

2016(1 publication)
[publication]Nuno Gil Fonseca and Antonio Jose Mendes and Macedo, L. , "CodeInsights - Monitoring programming students’ progress", in International Conference on Computer Systems and Technologies - CompSysTech'16, 2016
[citation][year=2019]Cabral, B. M. R. (2019). Análise da utilização dos recursos do Moodle para prever classificações.

2015(3 publications)
[publication]Davi Baccan and Sbruzzi, E. and Macedo, L. , "On the cognitive surprise in risk management: an analysis of the Value-at-Risk (VaR) historical", in 17th Portuguese Conference on Artificial Intelligence (EPIA), 2015

[publication]Barreto, N.V. and Macedo, L. and Penousal Machado and Licinio Roque , "Incorporation of Emotions in the Orphibs' Agent Architecture", in The European Conference on Artificial Life 2015, 2015

[publication]Silva, A.R.S.e. and Pinho, M.S. and Macedo, L. and Firmino, H. and Moulin, C. , "Using SenseCam to stimulate cognitive function and decrease depressive symptoms in mild Alzheimer disease", in International Psychogeriatrics, 2015

2014(5 publications)
[publication]Davi Baccan and Macedo, L. and Sbruzzi, E. , "Is the El Farol more efficient when cognitive rational agents have a larger memory size?", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014
[citation][year=2019]Fard, S. H., & Malazi, H. T. (2019, May). A Two-Dimensional Self-coordination Mechanism of Agents in a Minority Game. In International Conference on Fundamentals of Software Engineering (pp. 20-36). Springer, Cham.

[publication]Davi Baccan and Macedo, L. and Sbruzzi, E. , "Towards modeling surprise in economics and finance: a cognitive science perspective", in 7th European Starting AI Researcher Symposium (STAIRS), 2014

[publication]Macedo, L. and Costa, Hernani and Amilcar Cardoso , "Overcoming Information Overload with Artificial Selective Agents", in 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), 2014
[citation][year=2020]Mahdi, M. N., Ahmad, A. R., Ismail, R., Natiq, H., & Mohammed, M. A. (2020). Solution for Information Overload Using Faceted Search-A Review. IEEE Access.

[publication]Macedo, L. and Costa, Hernani and Amilcar Cardoso , "Overcoming Information Overload with Artificial Selective Agents: an Application to Travel Information Domain", in 13th International Conference on Autonomous Agents and Multiagent Systems –8th International Workshop on Agents in Traffic and Transportation, 2014

[publication]Barreto, N.V. and Macedo, L. and Licinio Roque , "MultiAgent System Architecture in Orphibs II", in Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems, 2014

2013(7 publications)
[publication]Davi Baccan and Macedo, L. , "Revisiting the El Farol problem: a cognitive modeling approach", in Multi-Agent-Based Simulation XIII, MABS , 2013
[citation][year=2019]Fard, S. H., & Malazi, H. T. (2019, May). A Two-Dimensional Self-coordination Mechanism of Agents in a Minority Game. In International Conference on Fundamentals of Software Engineering (pp. 20-36). Springer, Cham.
[citation][year=2017]Kumar, Shikhar, and Cleotilde Gonzalez. "Heterogeneity of Memory Decay and Collective Learning in the El Farol Bar Problem.". 2017 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation, July 5-8, 2017, Lehman Auditorium, George Washington University, Washington DC, USA
[citation][year=2016]Sakellariou, I., Kefalas, P., Savvidou, S., Stamatopoulou, I., & Ntika, M. (2016, September). The role of emotions, mood, personality and contagion in multi-agent system decision making. In IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 359-370). Springer, Cham.
[citation][year=2016]Stamatopoulou, Ioanna, and Marina Ntika. "The Role of Emotions, Mood, Personality and Contagion in Multi-agent System Decision Making." Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 International Conference and Workshops, AIAI 2016, Thessaloniki, Greece, September 16-18, 2016, Proceedings. Vol. 475. Springer, 2016.

[publication]Davi Baccan and Macedo, L. , "Are markets more efficient when cognitive agents act rationally? Evidence from the El Farol", in 16th Portuguese Conference on Artificial Intelligence, 2013
[citation][year=2019]Fard, S. H., & Malazi, H. T. (2019, May). A Two-Dimensional Self-coordination Mechanism of Agents in a Minority Game. In International Conference on Fundamentals of Software Engineering (pp. 20-36). Springer, Cham.

[publication]Costa, Hernani and Macedo, L. , "Emotion-Based Recommender System for Overcoming the Problem of Information Overload", in 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, Salamanca, Spain, 2013
[citation][year=2020]Panagiotakis, C., Papadakis, H., & Fragopoulou, P. (2020). Unsupervised and supervised methods for the detection of hurriedly created profiles in recommender systems. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS.
[citation][year=2019]Cena, F., Likavec, S., & Rapp, A. (2019). Real world user model: Evolution of user modeling triggered by advances in wearable and ubiquitous computing. Information Systems Frontiers, 21(5), 1085-1110.
[citation][year=2019]Mizgajski, J., & Morzy, M. (2019). Affective recommender systems in online news industry: how emotions influence reading choices. User Modeling and User-Adapted Interaction, 29(2), 345-379.
[citation][year=2019]Cai, H., & Zhang, F. (2019). An unsupervised method for detecting shilling attacks in recommender systems by mining item relationship and identifying target items. The Computer Journal, 62(4), 579-597.
[citation][year=2019]Bielozorov, A., Bezbradica, M., & Helfert, M. (2019, July). The role of user emotions for content personalization in e-commerce: literature review. In International Conference on Human-Computer Interaction (pp. 177-193). Springer, Cham.
[citation][year=2019]Almira, C., & Maulidevi, N. U. (2019, September). Travel Itinerary Recommendation for Real World Point of Interests Using Iterated Local Search. In 2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA) (pp. 1-6). IEEE.
[citation][year=2018]Zhang, F., Zhang, Z., Zhang, P., & Wang, S. (2018). UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering. Knowledge-Based Systems, 148, 146-166.
[citation][year=2018]Meng, X., Wang, S., Liu, H., & Zhang, Y. (2018, April). Exploiting emotion on reviews for recommender systems. In Thirty-Second AAAI Conference on Artificial Intelligence.
[citation][year=2018]Cena, F., Rapp, A., Musto, C., & Lops, P. (2018, July). Towards a conceptual model for holistic recommendations. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 207-210).
[citation][year=2018]Panagiotakis, C., Papadakis, H., & Fragopoulou, P. (2018, September). Detection of hurriedly created abnormal profiles in recommender systems. In 2018 International Conference on Intelligent Systems (IS) (pp. 499-506). IEEE.
[citation][year=2018]Deng, F., Ren, P., Qin, Z., Huang, G., & Qin, Z. (2018). Leveraging Image Visual Features in Content-Based Recommender System. Scientific Programming, 2018.
[citation][year=2018]Mustafa, G. (2018). A methodology for contextual recommendation using artificial neural networks. PhD Thesis, University of Bedfordshire
[citation][year=2018]Morisio, M., & Verazzo, G. (2018). Multi-channel Conversational Agent for Personalized Music Recommendations. MSc Thesis, Politecnico di Torino.
[citation][year=2018]Thendral, S. E., & Valliyammai, C. (2018). Understanding Personalization of Recommender System: A Domain Perspective. International Journal of Applied Engineering Research, 13(15), 12422-12428.
[citation][year=2017]Hadžidedi?, S. (2017). Introducing emotion. Computer Science.
[citation][year=2015]Parizi, A. H., & Kazemifard, M. (2015, April). Emotional news recommender system. In 2015 Sixth International Conference of Cognitive Science (ICCS) (pp. 37-41). IEEE.
[citation][year=2015]Vodyaho, A., & Zhukova, N. (2015, April). Implementation of Agile Concepts in Recommender Systems for Data Processing and Analyses. In International Conference on Analysis of Images, Social Networks and Texts (pp. 443-457). Springer, Cham.
[citation][year=2015]Wakil, Karzan and Bakhtyar, Rebwar and Ali, Karwan and Alaadin, Kozhin "Improving Web Movie Recommender System Based on Emotions". Int. Journal of Advanced Computer Science and Applications (IJACSA). Vol. 6, No. 2. February, 2015. pp. 218-226
[citation][year=2015]Vodyaho, Alexander, and Nataly Zhukova. "Implementation of Agile Concepts in Recommender Systems for Data Processing and Analyses." International Conference on Analysis of Images, Social Networks and Texts. Springer International Publishing, 2015.
[citation][year=2014]Tirad, Mohammed Aref Almalahmeh "Semantic recommender system for Malaysian tourism industry". Faculty of Computer Science And Information Technology, University Malaya, 2014. PhD. Thesis, 2014. p.231

[publication]Costa, Hernani and Furtado, B. and Pires, D. and Macedo, L. and Amilcar Cardoso , "Recommending POIs Based on the User's Context and Intentions", in 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, Salamanca, Spain, 2013
[citation][year=2019]Handoyo, E. R., Sulistyo, S., Santosa, P. I., & Hantono, B. S. (2019, July). A Conceptual Framework of Adaptive Mobile POI Recommendations. In 2019 International Conference on Information and Communications Technology (ICOIACT) (pp. 572-577). IEEE.
[citation][year=2019]Handoyo, E. R., Sulistyo, S., Santosa, P. I., & Hantono, B. S. (2019, July). A Conceptual Framework of Adaptive Mobile POI Recommendations. In 2019 International Conference on Information and Communications Technology (ICOIACT) (pp. 572-577). IEEE.
[citation][year=2018]Portugal, I., Alencar, P., & Cowan, D. (2018). The use of machine learning algorithms in recommender systems: A systematic review. Expert Systems with Applications, 97, 205-227.
[citation][year=2018]She, K. S., Haw, S. C., Loh, Y. G., & Chua, F. F. (2018). AK Tourism: A Property Graph Ontology-based Tourism Recommender System. In Knowledge Management International Conference (KMICe), July (pp. 25-27).
[citation][year=2015]Braunhofer, Matthias, Mehdi Elahi, and Francesco Ricci. "User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System." Information and Communication Technologies in Tourism 2015. Springer International Publishing, 2015. 537-549.
[citation][year=2015]Kysela, Ji?í. "Analysis of privacy erosion of geosocial networks." Computational Intelligence and Informatics (CINTI), 2015 16th IEEE International Symposium on. IEEE, 2015.

[publication]Macedo, L. and Costa, Hernani and Amilcar Cardoso , "A Selective Attention-based, Multi-Agent, Travel Information System", in 16th Portuguese Conference on Artificial Intelligence, 2013

[publication]Gaspar, Y. and Macedo, L. , "Towards Affect-based User Models: a comparative study with various datasets, features and algorithms, for multi-labeled probabilistic affect detection", in 5th Symposium on Informatics (INForum 2013), Évora, Portugal, 2013
[citation][year=2017]Aballay, Laura, Silvana Aciar, and Eliseo Reategui. "Método para detección de emociones desde foros utilizando Text Mining." Campus Virtuales 6.1 (2017): 89-98.
[citation][year=2015]Aballay, Laura N., Silvana Aciar, and Eliseo Berni Reategui. "Propuesta de un Método para Detección de Emociones en E-Learning." Argentine Symposium on Artificial Intelligence (ASAI 2015)-JAIIO 44 (Rosario, 2015). 2015.

[publication]Macedo, L. , "Arguments for a Computational Model for Forms of Selective Attention based  on Cognitive and Affective Feelings", in 5th International Conference on Affective Computing and Intelligent Interaction (ACII 2013), 2013
[citation][year=2017]Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).

2012(3 publications)
[publication]Costa, Hernani and Furtado, B. and Pires, D. and Macedo, L. and Amilcar Cardoso , "Context and Intention-Awareness in POIs Recommender Systems", in 6th ACM Conference on Recommender Systems (RecSys 2012), 4th Workshop on Context-Aware Recommender Systems, (CARS 2012) Dublin, Ireland. ACM, 2012
[citation][year=2019]Fernandez-Rojas, R., Perry, A., Singh, H., Campbell, B., Elsayed, S., Hunjet, R., & Abbass, H. A. (2019). Contextual awareness in human-advanced-vehicle systems: A survey. IEEE Access, 7, 33304-33328.
[citation][year=2019]Enríquez, J. G., Morales-Trujillo, L., Calle-Alonso, F., Domínguez-Mayo, F. J., & Lucas-Rodríguez, J. M. (2019). Recommendation and Classification Systems: A Systematic Mapping Study. Scientific Programming, 2019.
[citation][year=2019]Rajaonarivo, L., Fonteles, A., Sallaberry, C., Bessagnet, M. N., Roose, P., Etcheverry, P., ... & Coudert, Q. (2019). Recommendation of heterogeneous cultural heritage objects for the promotion of tourism. ISPRS International Journal of Geo-Information, 8(5), 230.
[citation][year=2018]Portugal, I., Alencar, P., & Cowan, D. (2018). The use of machine learning algorithms in recommender systems: A systematic review. Expert Systems with Applications, 97, 205-227.
[citation][year=2018]Wijenayake, S., Ganiachchi, S., Wijekoon, J., & Ahangama, S. (2018). Predicting Tie Strength between Facebook Friends to Improve Accuracy in Travel Recommendation Systems. In PACIS (p. 246).
[citation][year=2017]Sassi, I. B., Mellouli, S., & Yahia, S. B. (2017). Context-aware recommender systems in mobile environment: On the road of future research. Information Systems, 72, 27-61.
[citation][year=2017]Karpus, A., Di Noia, T., & Goczy?a, K. (2017, September). Top k recommendations using contextual conditional preferences model. In 2017 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 19-28). IEEE.
[citation][year=2016]Karpus, A., Di Noia, T., Tomeo, P., & Goczyla, K. (2016, November). Rating Prediction with Contextual Conditional Preferences. In KDIR (pp. 419-424).
[citation][year=2016]Amoretti, Michele, Laura Belli, and Francesco Zanichelli. "UTravel: Smart mobility with a novel user profiling and recommendation approach." Pervasive and Mobile Computing (2016).
[citation][year=2015]Rodríguez-Hernández, María del Carmen and Ilarri, Sergio and Trillo-Lado, Raquel and Hermoso, Ramón (2015). "Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go". Proc. 9th ACM Conf. on Recommender Systems (RecSys'15), 11th Workshop on Location-Aware Recommendations (LocalRec'15). Vienna, Austria. September, 2015. pp.1-8.
[citation][year=2015]Sánchez-Vilas, Fernando, Jasur Ismoilov, and Eduardo Sánchez. "The importance of diversity in profile-based recommendations: A case-study in tourism." Proceedings of the Workshop on Tourism Recommender Systems. RecSys' 15,. Viena. 2015.
[citation][year=2014]Riboni, Daniele and Bettini, Claudio. "Differentially-Private Release of Check-in Data for Venue Recommendation". In 12th IEEE International Conference on Pervasive Computing and Communications (PerCom'14). pp. 190-198. IEEE Computer Society. March, 2014. Budapest, Hungary.
[citation][year=2014]Lu, Chun and Laublet, Philippe and Stankovic, Milan "Ricochet:Context and Complementarity-Aware, Ontology-based POIs Recommender System". 11th ESWC 1014 (ESWC'14). May, 2014. p.8.  Crete, Greece.
[citation][year=2013]Boim, Rubi and Milo, Tova (2013). Recommendation by Examples. In 7th Int. Workshop on Personalized Access, Profile Management, and Context Awareness in Databases (PersDB'13). August, 2013, Riva del Garda, Trento, Italy
[citation][year=2013]Spangenberg, Thomas (2013). "Standardization, Modeling and Implementation of Points of Interest – a Touristic Perspective". Int. Journal of u- and e- Service, Science and Technology. Vol.6, No.6. December, 2013. pp.59-70.
[citation][year=2013]del Carmen, María, et al. "Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go."
[citation][year=2013]Riboni, Daniele and Bettini, Claudio. "A Platform for Privacy-Preserving Geo-social Recommendation of Points of Interest". 14th IEEE International Conference on Mobile Data Management (MDM'13). vol. 1, IEEE Computer Society. Milano, Italy. June, 2013. pp. 347-349.

[publication]Macedo, L. , "A computational model for forms of selective attention based on cognitive  and affective feelings", in International Conference on Cognitive Modelling, 2012
[citation][year=2017]Kostiainen, M. (2017). Informaatiotulvan hallitseminen tekoälyllä.

[publication]Silva, A.R.S.e. and Pinho, M.S. and Macedo, L. and Moulin, C. , "Does SenseCam improve general cognitive performance", in SenseCAm 2012, 2012

2011(4 publications)
[publication]Correia, P. and Leitão, A.P.d.A. and Macedo, L. and Amilcar Cardoso , "CABLE - Correlated Approach on BiLingual Evaluation", in 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), 2011

[publication]Davi Baccan and Macedo, L. , "The Role of Surprise in Agent-based Computational Economics (ACE)", in Doctoral Symposium on Artificial Intelligence (SDIA) of the 15th Portuguese Conference on Artificial Intelligence (EPIA), 2011

[publication]Macedo, L. and Tavares, M. and Gaspar, P. and Amilcar Cardoso , "Uncertainty and novelty-based selective attention in the collaborative exploration of unknown environments", in 5th Portuguese Conference on Artificial Intelligence (EPIA 2011), 2011

[publication]Catré, P. and Cardoso, L. and Macedo, L. and Amilcar Cardoso , "Building spatiotemporal emotional maps for social systems", in 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), 2011

2010(4 publications)
[publication]Macedo, L. , "Selecting Information based on Artificial Forms of Selective Attention", in 19th European Conference on Artificial Intelligence (ECAI 2010), 2010
[citation][year=2015]Wu, Qiong. "Computational Curiosity (A Book Draft)." arXiv preprint arXiv:1502.04780 (2015).
[citation][year=2014]Wu, Q. (2014). Modeling curiosity for intelligent agents (Doctoral dissertation).
[citation][year=2013]Qiong Wu and Chunyan Miao. 2013. Curiosity: From psychology to computation. ACM Comput. Surv. 46, 2, Article 18 (December 2013), 26 pages. DOI=10.1145/2543581.2543585 http://doi.acm.org/10.1145/2543581.2543585

[publication]Macedo, L. , "The Practical Advantage of Surprise-based Agents", in 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
[citation][year=2015]Shackman, Alexander J., Andrew S. Fox, and David A. Seminowicz. "The cognitive-emotional brain: Opportunitvnies and challenges for understanding neuropsychiatric disorders." Behavioral and Brain Sciences 38 (2015).
[citation][year=2015]Foster, Meadhbh I., and Mark T. Keane. "Surprise as an ideal case for the interplay of cognition and emotion." Behavioral and Brain Sciences 38 (2015).

[publication]Macedo, L. , "A Surprise-based Selective Attention Agent for Travel Information", in 6th Workshop on Agents in Traffic and Transportation - 9th International Conference on Autonomous Agents and Multiagent Systems 2010, 2010
[citation][year=2017]Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).

[publication]Silva, A.R.S.e. and Pinho, M.S. and Kalnikaite, V. and Macedo, L. , "Use of SenseCam to complement traditional rehabilitation approaches for patients with mild Alzheimer?s", in Proceedings of the 2nd Annual SenseCam Symposium (SenseCam 2010), 2010

2009(3 publications)
[publication]Davi Baccan and Macedo, L. , "Emotional autobiographical memories for artificial agents", in Doctoral Symposium on Artificial Intelligence (SDIA) of the 14th Portuguese Conference on Artificial Intelligence (EPIA), 2009

[publication]Davi Baccan and Macedo, L. , "Endowing artificial agents with emotional autobiographical memories", in Doctoral Consortium of the Affective Computing and Intelligent Interaction (ACII), 2009

[publication]Nuno Gil Fonseca and Bento, C. and Macedo, L. , "Delivery of Travel Information Supported on Surprise and Relevance", in InMotion '09 : Pervasive Technologies for Improved Mobility and Transportation (Held in conjunction with Pervasive 2009, 2009

2007(1 publication)
[publication]Silva, R.E.d. and Amilcar Cardoso and Macedo, L. , "An Affective Agent Framework Towards Believable Agents for Digital Entertainment", in Affective Computing and Intelligent Interaction, 2007

2006(1 publication)
[publication]Macedo, L. and Amilcar Cardoso and Reisenzein, R. , "A Surprise-based Agent Architecture", in 18th European Meeting on Cybernetics and Systems Research, 2006
[citation][year=2017]Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).
[citation][year=2015]Demey, Lorenz. "The dynamics of surprise." Logique et Analyse 58.230 (2015): 251-277.
[citation][year=2014]Demey, Lorenz. "Surprise in Probabilistic Dynamic Epistemic Logic." Logic and Interactive Rationality Yearbook 2012. Vol. 1. Institute for Logic, Language and Computation, 2014.
[citation][year=2013]Qiao, Rui, et al. "Surprise simulation using fuzzy logic." Intelligent Computing Theories and Technology. Springer Berlin Heidelberg, 2013. 110-119.
[citation][year=2013]Rui Qiao, Xiuqin Zhong, Shihan Yang, Heng He (2013). Surprise Simulation Using Fuzzy Logic. In Intelligent Computing Theories and Technology, Lecture Notes in Computer Science Volume 7996, 2013, pp 110-119
[citation][year=2011]Merk, R. J. (2011). A surprise model for use in agents in simulated environments. National Aerospace Laboratory NLR. NLR-TP-2011-036.
[citation][year=2011]Spitz, D. (2011). A Computational Model of Surprise. MSc Thesis, WORCERSTER POLYTECHNIC INSTITUTE, USA.
[citation][year=2010]Robbert-Jan Merk (2010) A Computational Model on Surprise and Its Effects on Agent Behaviour in Simulated Environments. In Advances in Practical Applications of Agents and Multiagent Systems Advances in Soft Computing, Volume 70, 47-57
[citation][year=2009]Prassler, E., Kahl, B., Henne, T., & Reggiani, M. Autonomous Design of Experiments for Learning by Experimentation. In FORSCHUNGSSPITZEN UND SPITZENFORSCHUNG
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[citation][year=2009]Juarez, Alex, et al. "Automatic stimulation of experiments and learning based on prediction failure recognition." Robotics and Automation, 2009. ICRA'09. IEEE International Conference on. IEEE, 2009.
[citation][year=2008]Henne, T., Juarez, A., Reggiani, M. & Prassler, E. Towards Autonomous Design of Experiments for Robots. In Proceedings of the 6th. International Workshop on Cognitive Robotics (CogRob), held at the 18th. European Conference on Artificial Intelligence (ECAI), July, 2008.

2005(2 publications)
[publication]Macedo, L. and Amilcar Cardoso , "Building maps from incomplete environment information: a cognitive approach based on the generation of expectations", in 5th IFAC Symposium on Intelligent Autonomous Vehicles, 2005

[publication]Macedo, L. and Amilcar Cardoso , "The role of Surprise, Curiosity and Hunger on Exploration of Unknown Environments Populated with Entities", in 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, 2005
[citation][year=2019]Niu, X., & Abbas, F. (2019, March). Computational Surprise, Perceptual Surprise, and Personal Background in Text Understanding. In Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 343-347).
[citation][year=2019]Sousa, A. M., Almeida, J. M., & Figueiredo, F. (2019, August). Analyzing and modeling user curiosity in online content consumption: a LastFM case study. In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 426-431). IEEE.
[citation][year=2017]Cohen-Lhyver, B. (2017). Modulation de mouvements de tête pour l'analyse multimodale d'un environnement inconnu (Doctoral dissertation).
[citation][year=2017]Ribeiro, E., Ribeiro, R., & de Matos, D. M. (2017, September). A curiosity model for artificial agents. In Artificial Life Conference Proceedings 14 (pp. 561-568). One Rogers Street, Cambridge, MA 02142-1209 USA journals-info@ mit. edu: MIT Press.
[citation][year=2015]Wu, Qiong. "Computational Curiosity (A Book Draft)." arXiv preprint arXiv:1502.04780 (2015).
[citation][year=2014]Wu, Q. (2014). Modeling curiosity for intelligent agents (Doctoral dissertation).
[citation][year=2013]Wu, Q., & Miao, C. (2013). Modeling Curiosity-Related Emotions for Virtual Peer Learners. Computational Intelligence Magazine, IEEE, 8(2), 50-62.
[citation][year=2013]Qiong Wu and Chunyan Miao. 2013. Curiosity: From psychology to computation. ACM Comput. Surv. 46, 2, Article 18 (December 2013), 26 pages. DOI=10.1145/2543581.2543585 http://doi.acm.org/10.1145/2543581.2543585
[citation][year=2012]Pal, A., Tiwari, R., & Shukla, A. (2012). Multi-robot exploration in wireless environments. Cognitive Computation, 4(4), 526-542.

2004(8 publications)
[publication]Macedo, L. and Amilcar Cardoso , "Exploration of Unknown Environments with Motivational Agents", in AAMAS04 - Third International Joint Conference on Autonomous Agents and Multi Agent System, 2004
[citation][year=2019]Stein, A. (2019). Interpolation-Assisted Evolutionary Rule-Based Machine Learning-Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems.
[citation][year=2019]Navarro Cáceres, M. (2019). Paradigma tecnológico en la creación musical: una revisión histórico-musical y un caso de estudio en la música popular. Paradigma tecnológico en la creación musical, 1-129.
[citation][year=2019]Navarro Cáceres, M. (2019). Paradigma tecnológico en la creación musical: una revisión histórico-musical y un caso de estudio en la música popular. Paradigma tecnológico en la creación musical, 1-129.
[citation][year=2019]Lasisi, R. O., & DuPont, R. (2019). Team Exploration of Environments Using Stochastic Local Search. In Artificial Intelligence-Scope and Limitations. IntechOpen.
[citation][year=2018]Navarro-Cáceres, M., Hashimoto, W., Rodríguez-González, S., Pérez-Lancho, B., & Corchado, J. M. (2018). Sensoring a Generative System to Create User-Controlled Melodies. Sensors, 18(10), 3201.
[citation][year=2017]Lasisi, R. O. (2017). Efficient Exploration of Environments Using Stochastic Local Search. In ICAART (1) (pp. 244-251).
[citation][year=2017]Kalde?, N. (2017). Robotic Coverage and Exploration as Sequential Decision-Making Problems (Doctoral dissertation).
[citation][year=2017]Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).
[citation][year=2017]Lasisi, Ramoni O. "Efficient Exploration of Environments Using Stochastic Local Search." (2017).
[citation][year=2016]Maria Navarro, Juan Manuel Corchado, Yves Demazeau. MUSIC-MAS: Modelling a Harmonic Composition System with Virtual Organizations to Assist Novice Composers. Expert Systems with Applications 02/2016; DOI:10.1016/j.eswa.2016.01.058
[citation][year=2015]Demey, Lorenz. "The dynamics of surprise." Logique et Analyse 58.230 (2015): 251-277.
[citation][year=2015]Kalde, Nassim, Olivier Simonin, and François Charpillet. "Comparison of Classical and Interactive Multi-Robot Exploration Strategies in Populated Environments." Acta Polytechnica 55.3 (2015): 154-161.
[citation][year=2015]Wu, Qiong. "Computational Curiosity (A Book Draft)." arXiv preprint arXiv:1502.04780 (2015).
[citation][year=2014]Miceli, Maria, and Cristiano Castelfranchi. Expectancy and emotion. OUP Oxford, 2014.
[citation][year=2014]Demey, Lorenz. "Surprise in Probabilistic Dynamic Epistemic Logic." Logic and Interactive RAtionality Yearbook 2012 (2014): 177.
[citation][year=2014]Malowanczyk, Thomas Kjærgaard. "Interaction in Multi-Agent Systems." (2014).
[citation][year=2013]Qiong Wu and Chunyan Miao. 2013. Curiosity: From psychology to computation. ACM Comput. Surv. 46, 2, Article 18 (December 2013), 26 pages. DOI=10.1145/2543581.2543585 http://doi.acm.org/10.1145/2543581.2543585
[citation][year=2013]Sugiyama, H., Tsujioka, T., Murata, M.,"Real-time exploration of a multi-robot rescue system in disaster areas",2013,"Advanced Robotics",27,17,,1313,1323,,,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84885586412&partnerID=40&md5=e5ed63e0fa882269f685a55f1c3ff477",Article,Scopus
[citation][year=2012]Derbinsky, N. L. (2012). Effective and Efficient Memory for Generally Intelligent Agents (Doctoral dissertation, The University of Michigan).
[citation][year=2012]Derbinsky, N.; Li, J. & Laird, J. (2012). Algorithms for Scaling in a General Episodic Memory Proc. of the 11th International Conference on Autonomous Agents and Multiagent Systems.
[citation][year=2012]Derbinsky, N., Li, J., Laird, J.E.,"A multi-domain evaluation of scaling in a general episodic memory",2012,"Proceedings of the National Conference on Artificial Intelligence",1,,,193,199,,,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84868286752&partnerID=40&md5=f1faa0b08150854318b4a47d80cb215d",Conference Paper,Scopus
[citation][year=2009]Braman, James. "Designing Izbushka: Investigating Interactions in Context Zero Environments." International Journal of Agent Technologies and Systems (IJATS) 1.1 (2009): 74-95.
[citation][year=2009]Pezzulo, G., Butz, M. V., Sigaud, O., & Baldassarre, G. (Eds.) (2009). Anticipatory Behavior in Adaptive Learning Systems, From Sensorimotor to Higher-level Cognitive Capabilities. Lecture Notes in Computer Science, Springer.
[citation][year=2009]Prassler, E., Kahl, B., Henne, T., & Reggiani, M. (2009). Autonomous Design of Experiments for Learning by Experimentation. In Forschungsspitzen und Spitzenforschung. Springer.
[citation][year=2009]Brittany Elliott, Benjamin Fain (2009). Autonomy in Exploring the Unknown : A Survey. In Proceedings of University of Northern Iowa Artificial Intelligence (UNIAI-09).
[citation][year=2008]Butz, Martin V., and Giovanni Pezzulo. "Benefits of anticipations in cognitive agents." The challenge of anticipation. Springer Berlin Heidelberg, 2008. 45-62.
[citation][year=2008]Henne, T., Juarez, A., Reggiani, M. & Prassler, E. Towards Autonomous Design of Experiments for Robots. In Proceedings of the 6th. International Workshop on Cognitive Robotics (CogRob), held at the 18th. European Conference on Artificial Intelligence (ECAI), July, 2008.
[citation][year=2008]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone (Eds) (2008). The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, Springer.
[citation][year=2007]Michele Piunti, Cristiano Castelfranchi & Rino Falcone (2007). Surprise as shortcut for Anticipation: clustering Mental States in Reasoning.. In Proceedings of the International Joint Conference on Artificial Iintelligence (IJCAI-07) Hyberabad, India
[citation][year=2006]Castelfranchi C., Falcone, R., Piunti, M. (2006). Agents with Anticipatory Behaviors: To be Cautious in a Risky Environment. Proceedings of the European Conference on Artificial Intelligence (ECAI-2006).
[citation][year=2006]C. Castelfranchi, R. Falcone and M. Piunti. Developing anticipatory and affective competences in multi agent systems. Proceedings of International Workshop on Multi-agent Systems and Simulation (ISC 2006), Palermo, Italy., 2006

[publication]Macedo, L. and Amilcar Cardoso , "Using CBR in the Exploration of Unknown Environments with an Autonomous Agent", in 7th European Conference on Case-Based Reasoning (ECCBR 2004),  vol. 3155, 2004
[citation][year=2010]D Greene, J Freyne, B Smyth (2010) An analysis of current trends in CBR research using multi-view clustering. AI Magazine
[citation][year=2007]T. Gabel and M. Riedmiller (2007). An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs. In Proceedings of the 7th International Conference on Case-Based Reasoning (ICCBR 2007), Belfast, United Kingdom. Springer.
[citation][year=2006]T. Gabel and M. Riedmiller (2006). Multi-Agent Case-Based Reasoning for Cooperative Reinforcement Learners. In Proceedings of the 8th European Conference on Case-Based Reasoning (ECCBR 2006), pages 32-46, ÿlüdeniz/Fethiye, Turkey, Springer.

[publication]Macedo, L. and Amilcar Cardoso , "Case-Based, Decision-Theoretic, HTN Planning", in 7th European Conference on Case-Based Reasoning (ECCBR 2004),  vol. 3155, 2004
[citation][year=2015]Borrajo, Daniel, Anna Roubí?ková, and Ivan Serina. "Progress in case-based planning." ACM Computing Surveys (CSUR) 47.2 (2015): 35.
[citation][year=2013]Chen, S., Liu, J., Wang, H., & Augusto, J. C. (2013). A Hierarchical Human Activity Recognition Framework Based on Automated Reasoning. 2013 IEEE International Conference on Systems, Man, and Cybernetics
[citation][year=2011]Meneguzzi, F., Tang, Y., Parsons, S. and Sycara, K. On representing planning domains under uncertainty, Proceedings of the 4th Conference of the International Technology Alliance, London, 2010.
[citation][year=2010]Meneguzzi, Felipe, et al. "On representing planning domains under uncertainty." Proceedings of the 3rd Information Theory and Applications Workshop (ITA’10). 2010.
[citation][year=2009]A. A. Sanchez-Ruiz, P. A. Gonzalez-Calero, and B. Diaz-Agudo. (2009). Abstraction in KnowledgeRich Models for Case-Based Planning. In Proc. of International Conference on Case-Based Reasoning, 2009.
[citation][year=2009]Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, and Toshihiro Takada. (2009). Effective Planning for Conflicting Situations for Ubiquitous Sensor Network Environments. Autonomous Agents.
[citation][year=2008]Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda and Toshihiro Takada. (2008). Effective Selection of Abstract Plans for Multi-Agent Systems. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXIV,
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[citation][year=2007]De la Rosa, T.; Garc´?a-Olaya, A.; and Borrajo, D. 2007. Using cases utility for heuristic planning improvement. In Weber, R., and Richter, M., eds., Case-Based Reasoning Research and Development: Proceedings of the 7th International Conference on Case-Based Reasoning, 137–148. Belfast, Northern Ireland, UK: Springer Verlag.

[publication]Macedo, L. and Reisenzein, R. and Amilcar Cardoso , "Modeling Forms of Surprise in Artificial Agents: Empirical and Theoretical Study of Surprise Functions", in 26th Annual Conference of the Cognitive Science Society, 2004
[citation][year=2020]Vignero, L., & Demey, L. (2020). The perfect surprise: a new analysis in dynamic epistemic logic. Logic Journal of the IGPL, 28(3), 341-362.
[citation][year=2019]Foster, M. I., & Keane, M. T. (2019). The role of surprise in learning: different surprising outcomes affect memorability differentially. Topics in cognitive science, 11(1), 75-87.
[citation][year=2019]Pöppel, J., & Kopp, S. (2019). Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties. arXiv preprint arXiv:1909.10419.
[citation][year=2019]Bunescu, R. C., & Uduehi, O. O. (2019). Learning to Surprise: A Composer-Audience Architecture. In ICCC (pp. 41-48).
[citation][year=2018]Pöppel, J., & Kopp, S. (2018, July). Satisficing models of bayesian theory of mind for explaining behavior of differently uncertain agents: Socially interactive agents track. In Proceedings of the 17th international conference on autonomous agents and multiagent systems (pp. 470-478).
[citation][year=2018]Barhoush, Y., Mustonen, M., Ferreira, D., Georgiev, G. V., Nguyen, D., & Pouke, M. (2018, September). The gravity of thought: exploring positively surprising interactions. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (pp. 333-338).
[citation][year=2018]Track, S. I. A., Pöppel, J., & Kopp, S. (2018, July). Satisficing Models of Bayesian Theory of Mind for Explaining Behavior of Differently Uncertain Agents. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, Stockholm, Sweden (pp. 10-15).
[citation][year=2017]Cohen-Lhyver, B. (2017). Modulation de mouvements de tête pour l'analyse multimodale d'un environnement inconnu (Doctoral dissertation).
[citation][year=2017]Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).
[citation][year=2016]Koukourikos, Antonis, Pythagoras Karampiperis, and Vangelis Karkaletsis. "CREATIVE STORIES: MODELLING THE PRINCIPAL COMPONENTS OF HUMAN CREATIVITY OVER TEXTS IN A STORYTELLING GAME." Digital Culture & Education 8.2 (2016).
[citation][year=2015]Grace, Kazjon, et al. "Modeling expectation for evaluating surprise in design creativity." Design Computing and Cognition'14. Springer International Publishing, 2015. 189-206.
[citation][year=2015]Grace, Kazjon, et al. "Data-intensive evaluation of design creativity using novelty, value, and surprise." International Journal of Design Creativity and Innovation 3.3-4 (2015): 125-147.
[citation][year=2015]Grace, Kazjon, and Mary Lou Maher. "Specific curiosity as a cause and consequence of transformational creativity." Proceedings of the Sixth International Conference on Computational Creativity June. 2015.
[citation][year=2015]Wu, Qiong. "Computational Curiosity (A Book Draft)." arXiv preprint arXiv:1502.04780 (2015).
[citation][year=2015]Grace, Kazjon, and Mary Lou Maher. "Surprise and reformulation as meta-cognitive processes in creative design." Proceedings of the Third Annual Conference on Advances in Cognitive Systems ACS. 2015.
[citation][year=2015]Foster, Meadhbh I., and Mark T. Keane. "Why some surprises are more surprising than others: Surprise as a metacognitive sense of explanatory difficulty." Cognitive psychology 81 (2015): 74-116.
[citation][year=2015]Demey, Lorenz. "The dynamics of surprise." Logique et Analyse 58.230 (2015): 251-277.
[citation][year=2015]Panagopoulos, George, et al. "Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts." UMAP Workshops. 2015.
[citation][year=2015]Ascone, Laura. "The Computer-mediated Expression of Surprise: a corpus analysis of chats by English and Italian native speakers and Italian learners of English." Review of Cognitive Linguistics. Published under the auspices of the Spanish Cognitive Linguistics Association 13.2 (2015): 383-383.
[citation][year=2014]Yannakakis, Georgios N., Antonios Liapis, and Constantine Alexopoulos. "Mixed-initiative co-creativity." Proceedings of the 9th Conference on the Foundations of Digital Games. 2014.
[citation][year=2014]Grace, Kazjon, and Mary Lou Maher. "What to expect when you’re expecting: the role of unexpectedness in computationally evaluating creativity." Proceedings of the 4th International Conference on Computational Creativity, to appear. 2014.
[citation][year=2014]Miceli, Maria, and Cristiano Castelfranchi. Expectancy and emotion. OUP Oxford, 2014.
[citation][year=2014]Canestrari, Carla, Alberto Dionigi, and Andrzej Zuczkowski. "Humor understanding and knowledge." Language and Dialogue 4.2 (2014): 261-283.
[citation][year=2014]Demey, Lorenz. "Surprise in Probabilistic Dynamic Epistemic Logic." Logic and Interactive Rationality Yearbook 2012. Vol. 1. Institute for Logic, Language and Computation, 2014.
[citation][year=2014]Qiao, Rui, et al. "Fuzzy logic model of surprise." Journal of Computers 9.11 (2014): 2761-2770.
[citation][year=2014]Gratch, Jonathan, and Stacy Marsella. Appraisal models. Oxford University Press, 2014.
[citation][year=2014]Martinez, Santiago, Alberto Jardón, and Carlos Balaguer. "High Level Humanoid Postural Control Architecture with Human Inspiration." ROBOT2013: First Iberian Robotics Conference. Springer International Publishing, 2014.
[citation][year=2014]Dridi, Monia, and Mouna Makhlouf. "AFFECT, EMOTION ET SURPRISE DANS LA PERSUASION PUBLICITAIRE. Une revue de la littérature." British Journal of Marketing Studios 2.3 (2014): 68-89.
[citation][year=2013]Foster, M., & Keane, M. T. (2013). Surprise: Youve got some explaining to do. arXiv preprint arXiv:1308.2236.
[citation][year=2013]Wu, Qiong, and Chunyan Miao. "Curiosity: From psychology to computation." ACM Computing Surveys (CSUR) 46.2 (2013): 18.
[citation][year=2013]Qiao, Rui, et al. "Surprise simulation using fuzzy logic." Intelligent Computing Theories and Technology. Springer Berlin Heidelberg, 2013. 110-119.
[citation][year=2013]Martinez, Sonia, Alberto Jardón, and Carlos Balaguer. "Human-inspired anticipative postural control architecture for humanoid robots." Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on. IEEE, 2013.
[citation][year=2012]Demey, Lorenz. "Surprise in Probabilistic Dynamic Epistemic Logic." Logic and Interactive Rationality Yearbook 2012. Vol. 1. Institute for Logic, Language and Computation, 2014.
[citation][year=2010]Fonseca, Nuno Gil, Luís Rente, and Carlos Bento. "Artificial Selective Attention for In-Vehicle Information Systems." Proceedings of the 2nd European Conference on Human Centred Design for Intelligent Transport Systems, Berlin. 2010.
[citation][year=2009]Juarez, Alex, et al. "Automatic stimulation of experiments and learning based on prediction failure recognition." Robotics and Automation, 2009. ICRA'09. IEEE International Conference on. IEEE, 2009.
[citation][year=2009]Kuo, Yen-Ting. "Mining surprising patterns." (2009).
[citation][year=2008]Butz, Martin V., and Giovanni Pezzulo. "Benefits of anticipations in cognitive agents." The challenge of anticipation. Springer Berlin Heidelberg, 2008. 45-62.
[citation][year=2008]Pezzulo, Giovanni, et al., eds. The challenge of anticipation: A unifying framework for the analysis and design of artificial cognitive systems. Vol. 5225. Springer, 2008.
[citation][year=2008]Henne, Timo, et al. "Towards autonomous design of experiments for robots." Proceedings of the 8th. International Workshop in Cognitive Robotics (ECAI 2008), Y. Lesperance, Ed. 2008.
[citation][year=2007]Lorini, Emiliano, and Cristiano Castelfranchi. "The cognitive structure of surprise: looking for basic principles." Topoi 26.1 (2007): 133-149.
[citation][year=2007]Castelfranchi, Cristiano, and Marco Gori. "Variations on intentional themes."
[citation][year=2006]Lorini, Emiliano, and Cristiano Castelfranchi. "The unexpected aspects of surprise." International Journal of Pattern Recognition and Artificial Intelligence 20.06 (2006): 817-833.
[citation][year=2006]Castelfranchi, Cristiano, Rino Falcone, and Michele Piunti. "Agents with anticipatory behaviors: To be cautious in a risky environment." Frontiers in Artificial Intelligence and Applications 141 (2006): 693.
[citation][year=2006]Lugrin, Jean-Luc, et al. "Artificial intelligence-mediated interaction in virtual reality art." Intelligent Systems, IEEE 21.5 (2006): 54-62.
[citation][year=2005]Lorini, Emiliano, and Rino Falcone. "Modeling expectations in cognitive agents." AAAI 2005 Fall Symposium: From Reactive to Anticipatory Cognitive Embodied Systems. 2005.
[citation][year=2005]Lugrin, Jean-luc, et al. "AI-mediated interaction in virtual reality art." Intelligent Technologies for Interactive Entertainment. Springer Berlin Heidelberg, 2005. 74-83.
[citation][year=2005]K.S. Loke. "Notes of Defining Novelty for Computational Creativity".  Proceedings of the second joint workshop on Computational Creativity (CC05). Edinburgh. 2005.
[citation][year=2004]Scheutz, Matthias. "How to determine the utility of emotions." Proc. of AAAI Spring Symposium. Vol. 2004. 2004.

[publication]Macedo, L. , "Planning, Exploration and Creativity in Motivational Agents Inhabiting Unknown, Dynamic Environments", in Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004

[publication]Macedo, L. and Amilcar Cardoso , "Emotional-based Planning", in AISB\'04, 2004
[citation][year=2017]Navarro-Cáceres, María, Javier Bajo, and Juan Manuel Corchado. "Applying social computing to generate sound clouds." Engineering Applications of Artificial Intelligence 57 (2017): 171-183.
[citation][year=2004]Rivero, D. M., et al. "IAV2004-PREPRINTS 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles Instituto Superior Técnico, Lisboa, Portugal July 5-7, 2004." (2004).

[publication]Macedo, L. and Amilcar Cardoso , "A Motivation-based Approach for Autonomous Generation and Ranking of Goals in Artificial Agents", in AISB\'04, 2004
[citation][year=2017]Rivero, D. M., et al. "IAV2004-PREPRINTS 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles Instituto Superior Técnico, Lisboa, Portugal July 5-7, 2004." (2004).

[publication]Macedo, L. , "Integrating Planning, Creativity and Exploration in Motivational Agents", in 26th Annual Conference of the Cognitive Science Society, 2004

2003(1 publication)
[publication]Macedo, L. and Amilcar Cardoso , "A Model for Generating Expectations: the Bridge Between Memory and Surprise", in 3rd. Workshop on Creative Systems. Approaches to Creativity in Artificial Intelligence and Cognitive Science, 2003
[citation][year=2006]Wiggins, G. A. A preliminary framework for description, analysis and comparison of creative systems Knowledge-Based Systems, 2006, 19, 449 - 458

2002(2 publications)
[publication]Macedo, L. and Amilcar Cardoso , "Assessing creativity: the importance of unexpected novelty", in Workshop on Creative Systems: Aproaches to Creativity in AI and Cognitive Science, ECAI2002, 2002
[citation][year=2020]Karam, K. M. (2020). Conscious application of creativity dynamics as an approach to the formation and appreciation of literary creativity. Neohelicon, 1-26.
[citation][year=2019]de Silva Garza, A. G. (2019). An introduction to and comparison of computational creativity and design computing. Artificial Intelligence Review, 51(1), 61-76.
[citation][year=2019]Silk, E. M., Daly, S. R., Jablokow, K. W., & McKilligan, S. (2019). Incremental to radical ideas: Paradigm-relatedness metrics for investigating ideation creativity and diversity. International Journal of Design Creativity and Innovation, 7(1-2), 30-49.
[citation][year=2017]Sadler, J., Shluzas, L., & Blikstein, P. (2017). Building blocks in creative computing: modularity increases the probability of prototyping novel ideas. International Journal of Design Creativity and Innovation, 5(3-4), 168-184.
[citation][year=2016]Yannakakis, G. N., & Liapis, A. (2016). Searching for surprise. ICCC.
[citation][year=2016]Sadler, Joel, Lauren Shluzas, and Paulo Blikstein. "Building blocks in creative computing: modularity increases the probability of prototyping novel ideas." International Journal of Design Creativity and Innovation (2016): 1-17.
[citation][year=2016]Yannakakis, Georgios N., and Antonios Liapis. "Searching for surprise." Proceedings of the International Conference on Computational Creativity. 2016.
[citation][year=2015]Grace, Kazjon, et al. "Data-intensive evaluation of design creativity using novelty, value, and surprise." International Journal of Design Creativity and Innovation 3.3-4 (2015): 125-147.
[citation][year=2015]Wu, Qiong. "Computational Curiosity (A Book Draft)." arXiv preprint arXiv:1502.04780 (2015).
[citation][year=2015]Wu, Qiong. "Computational Curiosity (A Book Draft)." arXiv preprint arXiv:1502.04780 (2015).
[citation][year=2014]Snider, Chris. Characterising the Creative Behaviour of Designers within the Late-Stage Engineering Design Process. Diss. University of Bath, 2014.
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2001(5 publications)
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[publication]Macedo, L. and Amilcar Cardoso , "A computational model for creative problem solving", in Annual Conference of the Cognitive Science Society, 1998
[citation][year=2008]Saridakis, Kostas M., and Argiris J. Dentsoras. "Soft computing in engineering design–A review." Advanced Engineering Informatics 22.2 (2008): 202-221.
[citation][year=2007]Saridakis, Kostas M., and Argiris J. Dentsoras. "Case-DeSC: A system for case-based design with soft computing techniques." Expert Systems with Applications 32.2 (2007): 641-657.
[citation][year=2001]Dubitzky, Werner, and Francisco Azuaje. "A genetic algorithm and growing cell structure approach to learning case retrieval structures." Soft computing in case based reasoning. Springer London, 2001. 115-146.

1997(5 publications)
[publication]Pereira, F.C. and Grilo, C. and Macedo, L. and Amilcar Cardoso , "Composing Music with Case-Based Reasoning", in MIND-II, 1997
[citation][year=2016]Bauer, Rouven. "A hybrid approach to supervised machine learning for algorithmic melody composition." arXiv preprint arXiv:1612.09212 (2016).
[citation][year=2016]Ramírez Moreno, Rodrigo Gabino. "Generación de música con gramáticas formales." (2016).
[citation][year=2016]Gelbukh, A. (2016). Music generation with formal grammars of multiple instruments and a conductor (Doctoral dissertation, Instituto Politécnico Nacional).
[citation][year=2015]Mora Ángel, Fernando. "Compocyborg antroposemios: re-significación del humanismo a través de la composición musical con técnicas bio-inspiradas de inteligencia artificial." (2015).
[citation][year=2013]Fernández, J. D., & Vico, F. (2013). AI Methods in Algorithmic Composition: A Comprehensive Survey. Journal of Artificial Intelligence Research, 48, 513-582.
[citation][year=2012]Bertrand Bonnemason, J., Catalán Fernández, C., & Mikovski, G. (2012). Muphic: composición musical automática basada en imágenes.
[citation][year=2012]Reis, L. S., Reis, G., Barroso, J., & Pereira, A. (2012). AMIGA-An Interactive Musical Environment for Gerontechnology. Procedia Computer Science, 14, 208-217.
[citation][year=2011]Morenoo, R. (2011). Generación de música con gramáticas formales. MSc. Thesis, Instituto Politécnico Nacional, México.
[citation][year=2009]"Sense2: A Music System Based on Paintings", André Pintado Jorge Gonçalves, 2009, MSc Dissertation. Instituto Superior Técnico
[citation][year=2009]Nierhaus, G. (2009). Algorithmic composition paradigms of automated music generation.
Berlin: Springer.
[citation][year=2008]"Paradigms of Automated Music Generation". Nierhaus, Gerhard. Springer. ISBN: 978-3-211-75539-6. 2008
[citation][year=2005]Brede, Tore. "Reasoning with sequences of events in knowledge-intensive CBR." (2005).
[citation][year=2004]Leal de Melo Daltia, Marcio. "Gerando acompanhamento rítmico automático para violão: estudo de caso do Cyber-João." (2004).
[citation][year=2001]Dubitzky, Werner, and Francisco Azuaje. "A genetic algorithm and growing cell structure approach to learning case retrieval structures." Soft computing in case based reasoning. Springer London, 2001. 115-146.
[citation][year=2001]Colton, S., Pease, A. and Ritchie, G. "The Effect of Input Knowledge  on Creativity". Proceedings of the ICCBR'01 Workshop on Creative Systems,  Vancouver, Canada, 2001

[publication]Grilo, C. and Pereira, F.C. and Macedo, L. and Amilcar Cardoso , "A Structured Framework for Representing Time in a Generative Composing System", in TIME'97, 1997

[publication]Macedo, L. and Pereira, F.C. and Grilo, C. and Amilcar Cardoso , "Experimental Study of a Similarity Metric for Retrieving Pieces from Structured Plan Cases: its Role in the Originality of Plan Case Solutions", in International Conference on Case-Based Reasoning,  vol. 1266, 1997
[citation][year=2001]- Mantaras, R. (2001). Case-based reasoning. In G. Paliouras & V. Karkaletsis & C. Spyropoulos (Eds.), Machine Learning and Its Applications: advanced lectures (Vol. 2049, pp. 127-145). New York: Springer-Verlag New York, Inc.
[citation][year=2001]Dubitzky, Werner, and Francisco Azuaje. "A genetic algorithm and growing cell structure approach to learning case retrieval structures." Soft computing in case based reasoning. Springer London, 2001. 115-146.
[citation][year=1998]Sabater, J., Arcos, J.L. and Mantaras, R. Lopez. "Using Rules to support Case-Based Reasoning for Harmonizing Melodies?. 1998 AAAI Spring Symposium Multimodal Reasoning, Stanford University, California, USA, pp. 147-151, March, 1998

[publication]Macedo, L. and Amilcar Cardoso and Grilo, C. , "An Artificial Planning Mind, Acting and Thinking Humanly", in International Conference on Cognitive Science, 1997

[publication]Macedo, L. and Pereira, F.C. and Grilo, C. and Amilcar Cardoso , "A Model for Divergent Production of Plans: its Application in the Music Composition Domain", in Computational Models of Creative Cognition, 1997

1996(3 publications)
[publication]Macedo, L. and Pereira, F.C. and Grilo, C. and Amilcar Cardoso , "Plans as structured networks of hierarchically and temporally related case pieces", in Third European Workshop on Case-Based Reasoning (EWCBR-96),  vol. 1168, 1996
[citation][year=2012]Bridge, D., O’Mahony, E., & O’Sullivan, B. (2012). Case-Based Reasoning for Autonomous Constraint Solving. In Autonomous Search (pp. 73-95). Springer Berlin Heidelberg.
[citation][year=2003]Rollón, Emma, et al. "Towards the distributed management of emergencies: forest fires case study." IJCAI Workshop on Environmental Decision Support Systems. 2003.
[citation][year=2002]- Qu, R. (2002). Case-Based Reasoning for Course Timetabling Problems. Unpublished PhD Thesis, University of Nottingham, Nottingham
[citation][year=1998]Watson, I., & Perera, S. (1997). A Hierarchical Case Representation using Context Guided Retrieval. Knowledge-Based Systems, Volume 11, Issues 5–6, 23 November 1998, 285–292.
[citation][year=1998]Ferreira, José Luís, and Ernesto Jorge Costa. "Planning and learning: Put the user in the loop." Brazilian Symposium on Artificial Intelligence. Springer Berlin Heidelberg, 1998.
[citation][year=1997]Arcos, J. L., & Mántaras, R. (1997). Perspectives: a declarative bias mechanism for case retrieval, Proceedings of the Second International Conference on Case-Based Reasoning (pp. 279-290). Berlin: Springer Verlag
[citation][year=1997]Watson, I., & Perera, S. (1997). A Hierarchical Case Representation using Context Guided Retrieval. In J. Hunt & M. Bramer (Eds.), Research & Development in Expert Systems XIV (pp. 27-38): SGES Publications.
[citation][year=1997]Watson, I., Perera, S. "The Evaluation of a Hierarchical Case Representation Using Context Guided Retrieval". In: D. B. Leake and E. Plaza (Eds.), Case-Based Reasoning Research and Development, Procs. of the 2nd. International Conference on Case-Based Reasoning, ICCBR-97, Providence, Rhode Island, USA, Lecture Notes in Artificial Intelligence, LNAI-1266, pp. 255-266, Springer-Verlag, July, 1997. ISBN 3-540-63233-6

[publication]Macedo, L. and Pereira, F.C. and Grilo, C. and Amilcar Cardoso , "Towards a Computational Case-Based Model for Creative Planning", in European Workshop on Cognitive Modelling, 1996
[citation][year=2006]Blain, P.J. (2006). A Computer Model of Creativity Based on Perceptual Activity Theory. Doctoral dissertation, Griffith University, Queensland, Australia. (Online :http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070823.171325/index.html)

[publication]Macedo, L. and Pereira, F.C. and Grilo, C. and Amilcar Cardoso , "Solving Planning Problems that Require Creative Solutions Using a Hierarchical Case-Based Planning Approach", in International Conference on Knowledge Based Computer Systems, 1996

Book Chapters
2016(1 publication)
[publication]Nuno Gil Fonseca and Macedo, L. and Antonio Jose Mendes , "CodeInsights - Monitorização do desempenho de alunos de programação", in Ambientes Virtuais no Ensino Superior,  vol. 1,  pp. 179-209, 2016

2012(1 publication)
[publication]Macedo, L. and Reisenzein, R. and Amilcar Cardoso , "Surprise and anticipation in learning.", in Encyclopedia of the Sciences of   Learning,  vol. NA,  pp. 3250-3253, 2012
[citation][year=2015]Demey, Lorenz. "The dynamics of surprise." Logique et Analyse 58.230 (2015): 251-277.
[citation][year=2014]Demey, L. (2014). Believing in logic and philosophy.

2009(1 publication)
[publication]Macedo, L. and Amilcar Cardoso and Reisenzein, R. and Lorini, E. and Castelfranchi, C. , "Artificial Surprise", in Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence,  pp. 267-291, 2009
[citation][year=2020]Vignero, L., & Demey, L. (2020). The perfect surprise: a new analysis in dynamic epistemic logic. Logic Journal of the IGPL, 28(3), 341-362.
[citation][year=2020]Sudharshan, D. (2020). Wonderment and Magic. In Marketing in Customer Technology Environments. Emerald Publishing Limited.
[citation][year=2019]Reisenzein, R., Horstmann, G., & Schützwohl, A. (2019). The cognitive?evolutionary model of surprise: A review of the evidence. Topics in cognitive science, 11(1), 50-74.
[citation][year=2019]Reisenzein, R. (2019). Cognition and emotion: A plea for theory. Cognition and Emotion, 33(1), 109-118.
[citation][year=2019]Gerten, J., & Topolinski, S. (2019). Shades of surprise: Assessing surprise as a function of degree of deviance and expectation constraints. Cognition, 192, 103986.
[citation][year=2019]Foster, M. I., & Keane, M. T. (2019). The role of surprise in learning: different surprising outcomes affect memorability differentially. Topics in cognitive science, 11(1), 75-87.
[citation][year=2019]Munnich, E. L., Foster, M. I., & Keane, M. T. (2019). Editors’ Introduction and Review: An Appraisal of Surprise: Tracing the Threads That Stitch It Together. Topics in cognitive science, 11(1), 37-49.
[citation][year=2019]Silk, E. M., Daly, S. R., Jablokow, K. W., & McKilligan, S. (2019). Incremental to radical ideas: Paradigm-relatedness metrics for investigating ideation creativity and diversity. International Journal of Design Creativity and Innovation, 7(1-2), 30-49.
[citation][year=2019]Mazurkiewicz-Soko?owska, J. (2019). Temporale und modale Konjunktionen und ihre individuellen Verarbeitungsweisen. Linguistik online, 95(2).
[citation][year=2017]Marmolejo-Ramos, F., Correa, J. C., Sakarkar, G., Ngo, G., Ruiz-Fernández, S., Butcher, N., & Yamada, Y. (2017). Placing joy, surprise and sadness in space: a cross-linguistic study. Psychological Research, 81(4), 750-763.
[citation][year=2017]Grace, K., Maher, M. L., Wilson, D., & Najjar, N. (2017). Personalised specific curiosity for computational design systems. In Design Computing and Cognition'16 (pp. 593-610). Springer, Cham.
[citation][year=2017]Maher, M. L., & Grace, K. (2017, June). Encouraging curiosity in case-based reasoning and recommender systems. In International Conference on Case-Based Reasoning (pp. 3-15). Springer, Cham.
[citation][year=2017]Manzolli, J., Moroni, A., & Valarini, G. A. (2017, September). SELFHOOD: an evolutionary and interactive experience synthesizing images and sounds. In International Symposium on Computer Music Multidisciplinary Research (pp. 625-636). Springer, Cham.
[citation][year=2017]Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).
[citation][year=2017]Grace, Kazjon, et al. "Personalised Specific Curiosity for Computational Design Systems." Design Computing and Cognition'16. Springer, Cham, 2017. 593-610.
[citation][year=2016]Noordewier, Marret K., Sascha Topolinski, and Eric Van Dijk. "The temporal dynamics of surprise." Social and Personality Psychology Compass 10.3 (2016): 136-149.
[citation][year=2016]Smith, Wally, Frank Dignum, and Liz Sonenberg. "The construction of impossibility: a logic-based analysis of conjuring tricks." Frontiers in Psychology 7 (2016).
[citation][year=2016]García Macías, José Hugo. From the unexpected to the unbelievable: Thetics, miratives and exclamatives in conceptual space. Diss. 2016.
[citation][year=2016]Yannakakis, Georgios N., and Antonios Liapis. "Searching for surprise." Proceedings of the International Conference on Computational Creativity. 2016.
[citation][year=2016]Marmolejo-Ramos, Fernando, et al. "Placing joy, surprise and sadness in space: a cross-linguistic study." Psychological Research (2016): 1-14.
[citation][year=2015]Demey, Lorenz. "The dynamics of surprise." Logique et Analyse 58.230 (2015): 251-277.
[citation][year=2015]Saillenfest, Antoine. Modélisation Cognitive de la Pertinence Narrative en vue de l'Évaluation et de la Génération de Récits. Diss. Paris, ENST, 2015.
[citation][year=2015]Grace, Kazjon, et al. "Modeling expectation for evaluating surprise in design creativity." Design Computing and Cognition'14. Springer International Publishing, 2015. 189-206.
[citation][year=2015]Grace, Kazjon, et al. "Data-intensive evaluation of design creativity using novelty, value, and surprise." International Journal of Design Creativity and Innovation 3.3-4 (2015): 125-147.
[citation][year=2015]Brown, David C. "Computational Design Creativity Evaluation." Design Computing and Cognition'14. Springer International Publishing, 2015. 207-224.
[citation][year=2015]Foster, Meadhbh I., and Mark T. Keane. "Predicting Surprise Judgments from Explanation Graphs." International Conference on Cognitive Modeling (ICCM). Groningen University, Groningen, The Netherlands. 2015.
[citation][year=2015]Foster, Meadhbh I., and Mark T. Keane. "Why some surprises are more surprising than others: Surprise as a metacognitive sense of explanatory difficulty." Cognitive psychology 81 (2015): 74-116.
[citation][year=2015]Peterson, Tyler. "Grammatical evidentiality and the unprepared mind." Review of Cognitive Linguistics 13.2 (2015): 314-352.
[citation][year=2015]Peterson, Tyler. "Mirativity as Surprise: Evidentiality, Information, and Deixis." Journal of psycholinguistic research (2015): 1-31.
[citation][year=2014]Demey, Lorenz. "Surprise in Probabilistic Dynamic Epistemic Logic." Logic and Interactive Rationality Yearbook 2012. Vol. 1. Institute for Logic, Language and Computation, 2014.
[citation][year=2014]Brown, D. C. Computational Design Creativity Evaluation. Design Computing and Cognition DCC’14. J.S. Gero (ed),  Springer 2014
[citation][year=2014]Miceli, Maria, and Cristiano Castelfranchi. Expectancy and emotion. OUP Oxford, 2014.
[citation][year=2013]Brown, D. C. (2013). A Simple, but Challenging, Model of Computational Design Creativity Evaluation.In International Conference on Computational Creativity.
[citation][year=2013]Reisenzein, R., Gratch, J., Hindriks, K., Hudlicka, E., Dastani, M., Lorini, E., & Meyer, J. J. (2013). Computational Modeling of Emotion: Towards Improving the Inter-and Intradisciplinary Exchange. IEEE Transactions on Affective Computing, 1.
[citation][year=2012]Brown, D. C. (2012). Creativity, surprise & design: An introduction and investigation. In The 2nd international conference on design creativity (ICDC2012), Glasgow, UK.
[citation][year=2012]Reisenzein, Rainer, W. U. Meyer, and M. Niepel. "Encyclopedia of Human Behavior." (2012).
[citation][year=2010]Castelfranchi, Cristiano. "For a ‘cognitive anatomy’of human emotions, and a mind-reading based affective interaction." Affective Computing and Interaction: Psychological, Cognitive and Neuroscientific Perspectives: Psychological, Cognitive and Neuroscientific Perspectives (2010): 110.

1998(1 publication)
[publication]Macedo, L. and Pereira, F.C. and Grilo, C. and Amilcar Cardoso , "A Computational Model for Creative Planning", in Mind Modelling: A Cognitive Science Approach to Reasoning, Learning and Discovery,  pp. 193-208, 1998
[citation][year=2008]K.M. Saridakis and A.J. Dentsoras, Soft computing in engineering design " A review. Advanced Engineering Informatics, Volume 22, Issue 2, April 2008, Pages 202-221
[citation][year=2008]Jung S, Lim T, Kim D.  A METHOD FOR OPTIMAL DESIGN OF HIGH-TECH PRODUCTS USING CBR AND NEURAL NETWORK. 1st International Symposium on Intelligent Informatics (ISII 2008), DEC 12-13, 2008 Kumamoto, JAPAN
[citation][year=2007]K.M. Saridakis, A.J. Dentsoras, Case-DeSC: A system for case-based design with soft computing techniques, Expert Systems with Applications, Volume 32, Issue 2, February 2007, Pages 641-657, ISSN 0957-4174, DOI: 10.1016/j.eswa.2006.01.033.

PhD Theses
2007(1 publication)
[publication]Macedo, L. , "The Exploration of Unknown Environments by Affective Agents", 2007
[citation][year=2017]Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).

MSc Theses
1997(1 publication)
[publication]Macedo, L. , "Criação Artificial: Sistemas com Capacidades Criativas e sua Aplicação à Composição Musical", 1997

Tech Report
2013(2 publications)
[publication]Gaspar, Y. and Macedo, L. , "Towards Affect-based User Models", 2013

[publication]Gaspar, Y. and Macedo, L. , "Towards Building User Affect Models from Tweets", 2013
[citation][year=2017]Aballay, L., Aciar, S., & Reategui, E. (2017). Método para detección de emociones desde foros utilizando Text Mining. Campus Virtuales, 6(1), 89-98.
[citation][year=2015]Aballay, L. N., Aciar, S., & Reategui, E. B. (2015). Propuesta de un Método para Detección de Emociones en E-Learning. In Argentine Symposium on Artificial Intelligence (ASAI 2015)-JAIIO 44 (Rosario, 2015).

2010(1 publication)
[publication]Macedo, L. , "A computational model of selective attention", 2010