Books 2018(2 publications) [publication]Vieira, A. and Ribeiro, B. , "Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing", vol. 1, 2018 [publication]Silva, C. and Ribeiro, B. , "Aprendizagem Computacional em Engenharia", vol. 1, 2018 2014(1 publication) [publication]Noel Lopes and Ribeiro, B. , "Machine Learning for Adaptive Many-Core Machines - A Practical Approach", Studies in Big Data Series, Ed. Springer, ISBN 978-3-319-06937-1", vol. 7, 2014 [citation][year=2015]J?drzejowicz, J., & J?drzejowicz, P. (2015). A Hybrid Distance-Based and Naive Bayes Online Classifier. In Computational Collective Intelligence (pp. 213-222). Springer International Publishing. 2010(1 publication) [publication]Silva, C. and Ribeiro, B. , "Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques", Computational Intelligence Series, Springer, ISBN: 978-3-642-04532-5", vol. 1, 2010 [citation][year=2014]ISMAIL, M. N. (2014). PARAMETER MAPPING OF FEATURE SELECTION VIA TAGUCHI METHOD ON EMAIL FILTERING. Journal of Theoretical and Applied Information Technology, 67(2). [citation][year=2013]Predicting organic acid concentration from UV/vis spectrometry measurements–a comparison of machine learning techniques C Wolf, D Gaida, A Stuhlsatz, T Ludwig… - Transactions of the …, 2013 - tim.sagepub.com [citation][year=2013]Semi-supervised text categorization: Exploiting unlabeled data using ensemble learning algorithms MR Keyvanpour, MB Imani - Intelligent Data Analysis, 2013 - IOS Press [citation][year=2013]A NOVEL EMBEDDED FEATURE SELECTION METHOD: A COMPARATIVE STUDY IN THE APPLICATION OF TEXT CATEGORIZATION MB Imani, MR Keyvanpour, R Azmi - Applied Artificial Intelligence, 2013 - Taylor & Francis [citation][year=2013]Kernel Based Relevance Vector Machine for Classification of Diseases E Tcheimegni - 2013 - gradworks.umi.com [citation][year=2012]Self tolerance by tuning t-cell activation: an artificial immune system for anomaly detection MJ Antunes, ME Correia - Bio-Inspired Models of Network, Information, …, 2012 - Springer 1998(1 publication) [publication]Ribeiro, B. , "Engenharia da Programação e dos Processos Algorítmicos,", vol. 1, 1998 Journal Articles 2020(8 publications) [publication]Leitão, J. and P. Gil and Ribeiro, B. and Alberto Cardoso , "A Survey on Home Energy Management", IEEE Access, pp. 5699-5722, 2020 [publication]Rahul Sharma and Ribeiro, B. and A. M. Pinto and Amilcar Cardoso , "Exploring Geometric Feature Hyper-Space in Data to Learn Representations of Abstract Concepts", Applied Sciences, vol. 10, pp. 1-24, 2020 [publication]Rahul Sharma and Ribeiro, B. and A. M. Pinto and Amilcar Cardoso , "Learning non-convex abstract concepts with regulated activation networks", Annals of Mathematics and Artificial Intelligence, 2020 [publication]Marques, A. and Prates, P. and Oliveira, M. and Fernandes, V. and Ribeiro, B. , "Performance Comparison of Parametric and Non-Parametric Regression Models for Uncertainty Analysis of Sheet Metal Forming Processe", Metals, Special Issue Recent Advances and Applications of Machine Learning in Metal Forming Processes, vol. 10, pp. 457, 2020 [publication]Lucas, P. and Silva, J. and Araujo, F. and Silva, C. and P. Gil and Arrais, J.P. and Coutinho, D. and Salgueiro, P. and Rato, L. and Saias, J. and Nogueira, V. and Alberto Cardoso and Ribeiro, B. , "NanoSen-AQM: From Sensors to Users", International Journal of Online and Biomedical Engineering (iJOE), vol. 16, 2020 [publication]Azevedo, D. and Ribeiro, B. and Alberto Cardoso , "Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface", International Journal of Online and Biomedical Engineering (iJOE), vol. 16, pp. 23-32, 2020 [publication]Uribe-Hurtado, A. and Alzate, M.O. and Noel Lopes and Ribeiro, B. , "GPU-based fast clustering via $K$-Centres and $k$-NN mode seeking for geospatial industry applications", Computers in Industry, Elsevier (in press), 2020 [publication]Nelson R. C. Monteiro and Ribeiro, B. and Arrais, J.P. , "Drug-Target Interaction Prediction: End-to-End Deep Learning Approach", IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp. 1-1, 2020 2019(5 publications) [publication]Chen, N. and Ribeiro, B. , "Optimization of Selective Ensemble for Cost-Sensitive Classification: An Empirical Study", Intelligent Decision Technologies, IOS Press, 2019 [publication]Francisco Antunes and , M.A. and Pereira, F.C. and Ribeiro, B. , "Active learning metamodeling for policy analysis: application to an Emergency Medical Service simulator", Simulation Modelling Practice and Theory, 2019 [publication]Costa, J. and Silva, C. and Antunes, M. and Ribeiro, B. , "Boosting Dynamic Ensemble’s Performance in Twitter", Neural Computing and Applications, 2019 [publication]Dib, M. and Oliveira, N. and Oliveira, M. and Fernandes, V. and Ribeiro, B. and Prates, P. , "Single and ensemble classifiers for defect prediction in sheet metal forming under variability", Neural Computing & Applications, 2019 [publication]Leitão, J. and Simões, N.E. and Marques, A.S. and P. Gil and Ribeiro, B. and Alberto Cardoso , "Detecting urban water consumption patterns: a time-series clustering approach", Water Supply, vol. 19, pp. 2323-2329, 2019 2018(3 publications) [publication]Francisco Antunes and Ribeiro, B. and Pereira, F.C. and Gomes, R. , "Efficient Transport Simulation With Restricted Batch-Mode Active Learning", IEEE Transactions in Intelligent Transportation Systems (T-ITS), 2018 [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "DENSER: deep evolutionary network structured representation", Genetic Programming and Evolvable Machines, 2018 [publication]Chen, N. and Ribeiro, B. and Chen, A. , "Multi-label Learning Vector Quantization for Semi-supervised Classication", Intelligent Data Analysis , 2018 2017(8 publications) [publication]Khalighi, S. and Ribeiro, B. and Nunes, U. , "Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation", IEEE Transactions on Cybernetics, , 2017 [publication]Ribeiro, B. and Chen, N. and Kovacec, A. , "Shaping Graph Pattern Mining for Financial Risk ", NeuroComputing, Elsevier , 2017 [publication]Ribeiro, B. and Chen, N. , "Financial Credit Risk Assessment via Learning-based Hashing", Intelligent Decision Technologies, IOS Press , vol. 11, pp. 1-10, 2017 [publication]Rodrigues, F. and Borysov, S. and Ribeiro, B. and Pereira, F.C. , "A Bayesian additive model for understanding public transport usage in special events", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 [publication]Rodrigues, F. and , M.L. and Ribeiro, B. and Pereira, F.C. , "Learning Supervised Topic Models for Classification and Regression from Crowds", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 [publication]Ribeiro, B. and Oliveira, G. and Laranjeira, A.F.F. and Arrais, J.P. , "Deep Learning in Digital Marketing: Brand Detection and Emotion Recognition", Machine Intelligence and Sensory Signal Processing, InderScience Publishers, vol. 2, pp. 32-50, 2017 [publication]Costa, J. and Silva, C. and Antunes, M. and Ribeiro, B. , "Adaptive Learning for Dynamic Environments: a Comparative Approach ", Engineering Applications of Artificial Intelligence, Elsevier , pp. 336-345, 2017 [publication]Francisco Antunes and Ribeiro, B. and Pereira, F.C. , "Probabilistic Modeling and Visualization for Bankruptcy Prediction", Applied Soft Computing, Elsevier, vol. 60, pp. 831-843, 2017 2016(5 publications) [publication]Chen, N. and Ribeiro, B. and Chen, A. , "Financial Credit Risk Assessment: A Recent Review", Artificial Intelligence Review, Springer, vol. 45, pp. 1-23, 2016 [publication]Ribeiro, B. and Chen, N. and Chen, A. , "Towards Tangible Benefits of Corporate Failure Prediction with Business Sector: A Comparative Study", International Journal of Intelligent Technologies, IOS Press, 2016 [publication]Ali AghaeiRad and Chen, N. and Ribeiro, B. , "Improve Credit Scoring using Transfer of Learned Knowledge from Self-Organizing Map", Neural Computing and Applications, Springer, vol. 28, pp. 1329-1342, 2016 [publication]Koirala, S. and Sung, A.H. and Wang, H. and Ribeiro, B. and Liu, Q. , "RtpExtSteg: A Practical VoIP Network Steganography Exploiting RTP Extension Header", IEEE COMSOC MMTC Communications - Frontiers, vol. 11, pp. 66, 2016 [publication]Jorge Luis Rivero Pérez and Ribeiro, B. , "Comparison of Algorithms for Intrusion Detection on Batch and Streaming Environments ", Revista Universidad y Sociedad, vol. 8, 2016 2015(6 publications) [publication]Ribeiro, B. and Chen, N. , "Dimensionality Reduction using Graph Weighted Subspace Learning for Bankruptcy Prediction", Real World Data Mining Applications, Annals of Information Systems (AIS) , Springer, vol. 1, pp. 155-178, 2015 [publication]Chen, N. and Ribeiro, B. and Chen, A. , "Comparative Study of Classifier Ensembles for Cost-sensitive Credit Risk Assessment", Intelligent Data Analysis, IOS Press, vol. 19, pp. 127-144, 2015 [publication]Ribeiro, B. and Chen, N. , "Aggregated local models via subspace clustering ", Intelligent Decision Technologies Journal, IOS Press, vol. 9, 2015 [publication]Figueiredo, M. and Ribeiro, B. and Ana Maria de Almeida , "Analysis of Trends in Seasonal Electrical Energy Consumption via Non-negative Tensor Factorization,", Neurocomputing, Elsevier, vol. 170, pp. 318-327, 2015 [citation][year=2016]Yuankai Wua, Huachun Tana,Yong Lib, Feng Lic, Hongwen Hea. Robust tensor decomposition based on Cauchy distribution and its application, Neurocomputing, Volume 223(5): 107–117, 2017 (to appear) [publication]Freiria, S. and Ribeiro, B. and Tavares, A.O. , "Understanding road network dynamics: Link-based topological patterns", Journal of Transport Geography, Elsevier, vol. 46, pp. 55-66, 2015 [publication]Alves, A. and Ribeiro, B. , "Consensus-based Approach for Keyword Extraction from Urban Event Collections", Advances in Distributed Computing and Artificial Intelligence Journal, 2015 [citation][year=2019]VALERA-ROMÁN, A., MATEOS-MATILLA, D., OLIVA-RUBIO, E., & PAULE-PEREDA, Á.(2019). Multi-Agent Vehicle Share System. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 8(1), 27-35. [citation][year=2019]Manuel-Jesús Prieto Martín(2019) "Desarrollo de juegos con J2ME". Published by Ediciones Universidad de Salamanca (Journal), Spain. http://hdl.handle.net/10366/139638 [citation][year=2019]Florentino Fernández Riverola (2019) "Entorno tecnológico: servidores". Published by Ediciones Universidad de Salamanca (Journal), Spain. http://hdl.handle.net/10366/139688 [citation][year=2019]David Palomar Delgado (2019) "Gestión de conflictos en los proyectos". Published by Ediciones Universidad de Salamanca, Spain. http://hdl.handle.net/10366/139701 2014(3 publications) [publication]Noel Lopes and Ribeiro, B. , "Towards Adaptive Learning with Improved Convergence of Deep Belief Networks on Graphics Processing Units", Pattern Recognition, Elsevier , vol. 47, pp. 114-127, 2014 [citation][year=2016]Luo, J., & Gao, H. (2016). Deep Belief Networks for Fingerprinting Indoor Localization Using Ultrawideband Technology. International Journal of Distributed Sensor Networks, 2016. [citation][year=2015]Xu, Q., Jiang, S., Huang, W., Duan, L., & Xu, S. Multi-feature fusion based spatial pyramid deep neural networks image classification. Computer Modelling & New Technologies, 17, 207-212 (2015). [citation][year=2015]Li, T., Dou, Y., Jiang, J., Wang, Y., & Lv, Q. (2015, July). Optimized deep belief networks on CUDA GPUs. In Neural Networks (IJCNN), 2015 International Joint Conference on (pp. 1-8). IEEE. [citation][year=2015]Li, Z. Z., Zhong, Z. Y., & Jin, L. W. (2015). Identifying Best Hyperparameters for Deep Architectures Using Random Forests. In Learning and Intelligent Optimization (pp. 29-42). Springer International Publishing. [citation][year=2015]Lv, Q., Dou, Y., Niu, X., Xu, J., Xu, J., & Xia, F. (2015). Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks. Journal of Sensors, 2015. [citation][year=2015]Qiu, J., Liang, W., Zhang, L., Yu, X., & Zhang, M. (2015). The early-warning model of equipment chain in gas pipeline based on DNN-HMM. Journal of Natural Gas Science and Engineering, 27, 1710-1722. [citation][year=2015]Wlodarczak, P., Soar, J., & Ally, M. (2015, October). Multimedia data mining using deep learning. In Digital Information Processing and Communications (ICDIPC), 2015 Fifth International Conference on (pp. 190-196). IEEE. [citation][year=2015]Gao Qiang, Yang Wu , & Li Qian . (2015). DBN image classification based on the spatial information quickly train the model . Journal of System Simulation , ( 3 ) , 549-558 . [citation][year=2014]Fang, H., & Hu, C. (2014, July). Recognizing human activity in smart home using deep learning algorithm. In Control Conference (CCC), 2014 33rd Chinese (pp. 4716-4720). IEEE. [citation][year=2014]Parada, P. Peso, et al. "A quantitative comparison of blind C 50 estimators." Acoustic Signal Enhancement (IWAENC), 2014 14th International Workshop on. IEEE, 2014. [publication]Figueiredo, M. and Ribeiro, B. and Ana Maria de Almeida , "Electrical signal source separation via non-negative tensor factorization using on-site measurements in a smart home", IEEE Transactions on Instrumentation and Measurement, vol. 63, pp. 364-373, 2014 [citation][year=2016]He, Kanghang, et al. "Non-intrusive load disaggregation using graph signal processing." IEEE Transactions on Smart Grid (2016). [citation][year=2016]Pöchacker, Manfred, Dominik Egarter, and Wilfried Elmenreich. "Proficiency of Power Values for Load Disaggregation." IEEE Transactions on Instrumentation and Measurement 65.1 (2016): 46-55. [citation][year=2015]M Pöchacker, D Egarter, W Elmenreich; "Proficiency of Power Values for Load Disaggregation" - arXiv preprint arXiv:1503.08081, 2015. [citation][year=2015]Egarter, D. ; Bhuvana, V.P. ; Elmenreich, W. PALDi: Online Load Disaggregation via Particle Filtering. Instrumentation and Measurement, IEEE Transactions on, Volume:64(2), pp. 467 - 477, 2015 (On-line since 21 August 2014). [citation][year=2015]A. Cominolaa, M. Giuliania, D. Pigab, A. Castellettia, c, , , A.E. Rizzolid. Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review. Environmental Modelling & Software, Vol. 72, (2015), pp. 198–214, doi:10.1016/j.envsoft.2015.07.012. [citation][year=2015]Bonfigli, R.; Squartini, S.; Fagiani, M. ; Piazza, F. Unsupervised algorithms for non-intrusive load monitoring: An up-to-date overview. Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on, pp. 1175 - 1180 (2015). [citation][year=2014]Peng, Shi ; Yunqing, Qu ; Hongshuo, Liang. "Personalized Image Tag Recommendation Algorithm for Web2.0 Platform Utilizing Tensor Factorization". IEEE Proc. Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), pp. 718 - 721 (2014) [citation][year=2014]Toth-Laufer, E and; Varkonyi-Koczy, A.R., "A Soft Computing-Based Hierarchical Sport Activity Risk Level Calculation Model for Supporting Home Exercises", IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 63, NO. 6, pp.1400-1411, 2014. [publication]Ali AghaeiRad and Ribeiro, B. , "Authentication and Security, issues of modern banking services in Iranian banking sector", Life Science, 2014 2013(6 publications) [publication]Chen, N. and Ribeiro, B. , "Influence of class distribution on cost-sensitive learning: a case study of French bankruptcy analysis", Intelligent Data Analysis, IOS Press, vol. 17, pp. 423-437, 2013 [publication]Chen, N. and Ribeiro, B. and Vieira, A. , "Clustering and Visualization of Bankruptcy Trajectory using Self-Organizing Map", Expert Systems and Applications, Elsevier, vol. 40, pp. 385-393, 2013 [citation][year=2013]SELF-ORGANIZING MAP-BASED K-MEANS CLUSTERING FOR STABILITY ANALYSIS OF PRODUCT QUALITY IN PACKAGING IN SEMICONDUCTOR … JIN DING, YZAI LU, J CHU - Journal of Theoretical & Applied …, 2013 - search.ebscohost.com [citation][year=2013]Hybrid classification and regression models via particle swarm optimization auto associative neural network based nonlinear PCA V Ravi, N Naveen, M Pandey - International Journal of Hybrid Intelligent …, 2013 - IOS Press [citation][year=2013]Sovereign Bond Spreads Evolution in Latin American Countries A Terceño, MT Sorrosal, LB Martinez… - Modeling and Simulation …, 2013 - Springer [citation][year=2013]Financial efficiency and social impact of microfinance institutions using self-organizing maps P Louis, A Seret, B Baesens - World Development, 2013 - Elsevier [citation][year=2013]DO SOVEREIGN BOND SPREADS IN EU CONVERGE? 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[citation][year=2015]Mokter Hossain, Crowdsourcing in business and management disciplines: an integrative literature review, Journal of Global Entrepreneurship Research, 5(21), 2015. [citation][year=2015]WANG You-wei,LIU Yuan-ning, FENG Li-zhou, ZHU Xiao-dong, A Novel Quick Online Spam Identification Method Based on User Interest Set, Acta Eletronica Sinica 43(10), 2015. [publication]Rodrigues, F. and Pereira, F.C. and Ribeiro, B. , "Sequence labeling with multiple annotators", Machine Learning, Springer, 2013 [citation][year=2016]C Long, G Hua, A Kapoor, A joint gaussian process model for active visual recognition with expertise estimation in crowdsourcing, International Journal of Computer Vision, 2016 [citation][year=2015]RG Brace, Physician Participation in Crowdsourcing: Effect of Intrinsic and Extrinsic Motivation, Publication/NA, 2015 [citation][year=2014]D Hovy, B Plank, A Søgaard, Experiments with crowdsourced re-annotation of a POS tagging data set., ACL (2), 2014 [citation][year=2014]H Fromreide, A Søgaard, NER in Tweets Using Bagging and a Small Crowdsourced Dataset, Advances in Natural Language Processing, 2014 2012(5 publications) [publication]Noel Lopes and Ribeiro, B. , "Towards a Hybrid NMF-based Neural Approach for Face Recognition on GPUs", International Journal of Data Mining, Modelling and Management (IJDMMM), vol. 4, pp. 138-155, 2012 [publication]Figueiredo, M. and Ana Maria de Almeida and Ribeiro, B. , "Home Electrical Signal Disaggregation for Non-intrusive Load Monitoring (NILM) Systems", Neurocomputing, Elsevier, vol. 96, pp. 66-73, 2012 [citation][year=2018]Buddhahaia, B., Wongsereeb, W. and Rakkwamsuka, P., A non-intrusive load monitoring system using multi-label classification approach. Sustainable Cities and Society, Volume 39, Pages 621-630, 2018. [citation][year=2018]Kwak, Y.; Hwang, J.; Lee, T. Load Disaggregation via Pattern Recognition: A Feasibility Study of a Novel Method in Residential Building. Energies 2018, 11, 1008 [citation][year=2018]Xue, Y.L., Lin, W. nd Liu, Z.Y., "Admittance-based load signature construction for non-intrusive appliance load monitoring", Energy and Buildings, Volume 171, pp. 209-219, 2018. DOI: 10.1016/j.enbuild.2018.04.049 [citation][year=2017]N. Henao, K. Agbossou, S. Kelouwani, Y. Dubé and M. Fournier, "Approach in Nonintrusive Type I Load Monitoring Using Subtractive Clustering," in IEEE Transactions on Smart Grid, vol. 8, no. 2, pp. 812-821, March 2017. [citation][year=2017]S. M. Tabatabaei, S. Dick and W. Xu, "Toward Non-Intrusive Load Monitoring via Multi-Label Classification," in IEEE Transactions on Smart Grid, vol. 8, no. 1, pp. 26-40, Jan. 2017. [citation][year=2017]A. A. Munshi; Y. A. R. I. 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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]Francisco Antunes and Ribeiro, B. and Pereira, F.C. , "Exploring the Output Behavior of Traffic Simulators using Batch-mode Active Learning", in Ciência 2018, 2018 [publication]Costa, J. and Silva, C. and Ribeiro, B. , "Twitter message: is bigger the better for classification purposes?", in 24th edition of the Portuguese Conference on Pattern Recognition (RecPad), 2018 [publication]Costa, J. and Silva, C. and Ribeiro, B. , "Learning in Twitter streams with 280 character tweets", in 10th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), 2018 [publication]Oliveira, N. and Costa, J. and Silva, C. and Ribeiro, B. , "Retweet Predictive Model for Predicting the Popularity of Tweets", in 10th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), 2018 [publication]Leitão, J. and P. Gil and Ribeiro, B. and Alberto Cardoso , "Application of Bees Algorithm to Improve Household’s Efficiency via Scheduling of Energy and Water Appliances", in 10th International Conference on Information Technology and Electrical Engineering (ICITEE), 2018 [publication]Leitão, J. and P. Gil and Ribeiro, B. and Alberto Cardoso , "Forecasting Household Energy Consumptions using Capsule Networks", in 24th Portuguese Conference on Pattern Recognition (RECPAD), 2018 [publication]Barata, R.J.D. and Ribeiro, B. and António Dourado and Teixeira, C. , "Epileptic Seizure Prediction with Stacked Auto-encoders: Lessons from the Evaluation on a Large and Collaborative Database", in Precision Medicine Powered by pHealth and Connected Health, 2018 [publication]Rahul Sharma and Ribeiro, B. and A. M. Pinto and Amilcar Cardoso , "Identifying Psychological Bio-markers Computationally with Regulated Activation Networks", in Encontro Ciência '18 (Poster), 2018 [publication]Silva, C. and Ribeiro, B. and Costa, J. and Oliveira, N. , "Retweet Predictive Model for Predicting the Popularity of Tweets", in 10th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), 2018 [publication]Nelson R. C. Monteiro and Ribeiro, B. and Arrais, J.P. , "Drug-Target Interaction Prediction: End-to-End Deep Learning Approach", in EJIBCE2018, 2018 2017(15 publications) [publication]Costa, J. and Silva, C. and Antunes, M. and Ribeiro, B. , "Performance Metrics for Model Fusion in Twitter Data Drifts", in IbPRIA 2017: 8th Iberian Conference on Pattern Recognition and Image Analysis, LNCS, Springer, 2017 [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Automatic Generation of Neural Networks with Structured Grammatical Evolution", in IEEE Congress on Evolutionary Computation (CEC), 2017 [citation][year=2018]Itano, F., de Sousa, M. A. D. A., & Del-Moral-Hernandez, E. (2018, July). Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm. In 2018 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach", in Genetic and Evolutionary Computation Conference (GECCO), 2017 [publication]Silva, J.M. and Ribeiro, B. and Sung, A.H. , "Finding the Critical Sampling of Big Data Sets, ACM International Conference on Computing Frontiers 2017 May 15 - 17, 2017, Siena, Italy ", in ACM International Conference on Computing Frontiers 2017 May 15 - 17, 2017, Siena, Italy , 2017 [publication]Francisco Antunes and Pereira, F.C. and Ribeiro, B. , "Active Learning for Scenario Exploration in Transport & Land-Use Simulation Models", in 14th Annual Transports Study Group Meeting, February 20-21, Fatima, Portugal., 2017 [publication]Phong, N.H. and Ribeiro, B. , "Offline and Online Deep Learning for Image Recognition", in 4th IEEE Experiment@ International Conference, Faro, Algarve, Portugal, 2017 [publication]Francisco Antunes and Ribeiro, B. and Pereira, F.C. and Zegras, C. , "Active Learning Metamodeling for Scenario Discovery in Transportation Simulators", in Transport Summer Summit at Technical University of Denmark, 2017 [publication]Jorge Luis Rivero Pérez and Ribeiro, B. and Chen, N. and Leite, F.S. , "A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection, ", in International Conference on Neural Information Processing, November 14-18, Guangzhou, China, LNCS, Springer, 2017 [publication]Silva, J.M. and Ribeiro, B. and Sung, A.H. , "Critical Sample Size for Mining Data", in EPIA 2017 - BAAI (Business Applications of Artificial Intelligence) Track, 2017 [publication]Francisco Antunes and Ribeiro, B. and Pereira, F.C. , "Active Learning GP-based Metamodels for Input Exploration in Transportation Simulation Models", in 23rd Portuguese Conference on Pattern Recognition - RECPAD 2017, 2017 [publication]Silva, J.M. and Ribeiro, B. and Sung, A.H. and Teixeira, C. , "Importance of the critical sampling size on data analytics", in 23rd Portuguese Conference on Pattern Recognition , 2017 [publication]Oliveira, N. and Costa, J. and Silva, C. and Ribeiro, B. , "On the importance of Users' Features in Retweeting", in 23rd Portuguese Conference on Pattern Recognition - RECPAD 2017, 2017 [publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolutionary Machine Learning: An Essay on Bechmarking", in Portuguese Conference on Pattern Recognition (RecPad), 2017 [publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolutionary Machine Learning: An Essay on Experimental Design", in Portuguese Conference on Pattern Recognition (RecPad), 2017 [publication]Noel Lopes and Ribeiro, B. , "Novel Trends in Scaling Up Machine Learning Algorithms", in 16th IEEE International Conference On Machine Learning And Applications. 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[citation][year=2015][PDF] MULTI-START CONJUGATE GRADIENT METHOD FOR RETRIEVING THE OPTICAL PARAMETERS IN 2D PARTICIPATING MEDIA WITH FREQUENCY- … YB Qiao, H Qi, T Jia, LM Ruan, HP Tan - 2015 - researchgate.net ABSTRACT The optical tomography (OT) based on the frequency-domain equation of radiative transfer (ERT) is investigated in present research. The frequency-domain ERT is employed as forward model which is solved by finite volume method (FVM). The ... [citation][year=2015]Multi-start iterative reconstruction of the radiative parameter distributions in participating media based on the transient radiative transfer equation Y Qiao, H Qi, Q Chen, L Ruan, H Tan - Optics Communications, 2015 - Elsevier Abstract Simultaneous reconstruction of the radiative parameter distributions in participating media, based on the transient radiative transfer equation (TRTE), was investigated. The discrete ordinate method was employed to solve the direct TRTE for two-dimensional ... 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[citation][year=2008]Huang, M.-S., Lin, T.-Y., An innovative regression model-based searching method for setting the robust injection molding parameters, 2008 Journal of Materials Processing Technology 198 (1-3), pp. 436-444 1998(3 publications) [publication]Ribeiro, B. , "Prediction of Lime Availability of an Industrial Kiln by Neural Networks'", in IEEE World Congress on Computational Intelligence (WCCI98), vol. 3, 1998 [citation][year=2011]Paavo Nieminen, Tommi Karkkainen, Kari Louostarinen, and Jukka Muhonen, "Neural Prediction of Product Quality Based On Pilot Paper Machine Process Measurements", Adaptive and Natural Computing Algorithms, 10th International Conference, ICANNGA 2011, Proceedings, Part I(LNCS 6593), pp. 240-249, Ljubljana, Slovenia, April 2011. [citation][year=2009]Esko K. Juuso, MODELLING AND SIMULATION IN ADVANCED CONTROL, Control Engineering Laboratory, Department of Environmental and Process Engineering, P.O. Box 4300, FIN-90014 University of Oulu, Finland, https://www.sim-serv.com/pdf/whitepapers/whitepaper_116.pdf. [citation][year=2004]Esko K. Juuso, MODELLING AND SIMULATION IN ADVANCED CONTROL, Control Engineering Laboratory, Department of Environmental and Process Engineering, P.O. Box 4300, FIN-90014 University of Oulu, Finland, https://www.sim-serv.com/pdf/whitepapers/whitepaper_116.pdf. [publication]Ribeiro, B. and Alberto Cardoso , "A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment", in International Conference on Neural Networks and Genetic Algorithms (ICANNGA97), 1998 [citation][year=2006]Go?mez Weiss, Maria Victoria. "Adaptive neuro energy management control strategies for HVAC systems in buildings." PhD diss., Concordia University, 2006. [publication]P. Carvalho and Costa, N.A. and Ribeiro, B. and António Dourado , "Highly Irregular Eliptical Object Localisation in Multi-Connected Regions using Neural Networks", in International Symposium on Engineering Intelligent Systems, 1998 [citation][year=2003]• Xu Tao, Localization of Object (Spine) in Medical Image Using Active Shape Models, Transactions of Nanjing University of Aeronautics and Astronautics, Vol.20 No.2 P.211-217, 2003 1997(2 publications) [publication]P. Carvalho and Costa, N.A. and Ribeiro, B. and António Dourado , "Lime Ball Quality Inspection Using a Neural Network and Geometrical Based Decision Criteria", in International Conference on Systems Engineering, 1997 [publication]P. Carvalho and Costa, N.A. and Ribeiro, B. and António Dourado , "Industrial Visual Inspection of Lime Balls by Neural Networks", in International Conference for Computers and Industrial Engineering, 1997 [citation][year=2000]Bibliography of neural network business applications research: 1994-1998 BK Wong, VS Lai, J Lam - Computers & Operations Research, 2000 - sedok.narod.ru Page 1. Computers & Operations Research 27 (2000) 1045} 1996(3 publications) [publication]Ribeiro, B. and António Dourado and Costa, E. , "Integrated Process Supervision and Control by Neural Networks", in IEEE World Conference on Neural Networks (WCNN96), 1996 [citation][year=1998]A Bayesian"Gaussian neural network and its applications in process engineering H Ye, R Nicolai, L Reh - Chemical Engineering & Processing, 1998 - Elsevier [publication]Ribeiro, B. and Alberto Cardoso , "Neurocontroller Synthesis of a Scaled Heating laboratory Process", in 2nd Portuguese Conference on Automatic Control (CONTROLO96), 1996 [publication]Ribeiro, B. , "Application of Neural Networks for Diagnosing and Predicting the Condition of an Industrial Lime Kiln", in Computational Engineering in Systems Applications (CESA96), 1996 1995(3 publications) [publication]Ribeiro, B. and Kovacec, A. and António Dourado , "Example of Finding the Architecture of a BPNN for a Pulp and Paper Engineering Application looking at the Geometry of a given Classification task", in International Conference on Engineering Applications of Neural Networks (EANN95), 1995 [publication]Ribeiro, B. and António Dourado and Costa, E. , "Lime Kiln fault Detection and Diagnosis by Neural Networks", in International Conference on Artificial Neural Networks and Genetics Algorithms, 1995 [citation][year=2001]A FAULT DIAGNOSTIC MODEL BASED ON NOVEL NEURAL NETWORK CLASSIFIER HE Jia-ZhouiState Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093j@ ZHOU Zhi-HuaiState Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093j@ GAO YangiState Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093j@ CHEN Shi-FuiState Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093j Journal of Computer Research and Development 2001 Vol.38 No.1 P.93-97 [citation][year=2000]Using Neural Networks for Fault Diagnosis - He, Zhou, Yin, Chen (2000) Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00), Como, Italy, 2000, vol5pp.217-220. http://citeseer.ist.psu.edu/513306.html [publication]Ribeiro, B. and António Dourado , "Industrial Kiln Multivariable Control: MNN and RBFNN Approaches", in International Conference on Artificial Neural Networks and Genetics Algorithms, 1995 [citation][year=2011]Nieminen, P.a , Kärkkäinen, T.a , Luostarinen, K.b , Muhonen, J.b Neural prediction of product quality based on pilot paper machine process measurements (2011) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6593 LNCS (PART 1), pp. 240-249. [citation][year=2006]Kumar Rajesh and A K Ray, Artificial Neural Network for Solving Paper Industry Problems: A Review, Journal of Scientific & Industry Research, Vol. 65, pp. 565 - 573, 2006 1994(2 publications) [publication]Ribeiro, B. and António Dourado , "Controlo Multivariável de um Forno Industrial baseado em Redes Neuronais Artificiais MNN e RBFNN", in 1º Encontro Portugues de Controlo Automático, 1994 [publication]Gonçalves, C. and Alberto Cardoso and António Dourado and Ribeiro, B. and Pereira, C. and Henriques, J. , "Aplicação Multimédia para Treino e Aprendizagem em Controlo Automático", in 1º Encontro Portugues de Controlo Automático, 1994 1993(4 publications) [publication]Ribeiro, B. and António Dourado and Costa, E. , "A Neural Network based Control of a Simulated Industrial Lime Kiln", in INNS-IEEE International Joint Conference on Neural Networks, 1993 [publication]Kovacec, A. and Ribeiro, B. , "Kolmogorov's Theorem: From Algebraic Equations and Nomography to Neural Networks", in International Conference on Artificial Neural Networks and Genetics Algorithms, 1993 [publication]Ribeiro, B. and António Dourado , "Lime Kiln Process Identification and Control: A Neural Network Approach", in International Conference on Artificial Neural Networks and Genetics Algorithms, 1993 [citation][year=2006]Rajesh K, Ray AK Artificial neural network for solving paper industry problems: A review JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH 65 (7): 565-573 JUL 2006 [citation][year=1995]Applications of neural networks in process dynamics AB Bulsari - Neural Networks for Chemical Engineers, 1995 - Elsevier Science Ltd [publication]Ribeiro, B. and António Dourado , "Dynamic Modelling and simulation of a Pulp Mill Lime Kiln", in International Symposium on Modelling, Identification and Control, 1993 Edited Books 2019(2 publications) [publication]Morales, A. and Fierrez, J. and Sánchez, J. and Ribeiro, B. ,Proceedings of the 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part I , "Pattern Recognition and Image Analysis, LNCS , Springer, LNCS 11867, Part I", vol. I, 2019 [publication]Morales, A. and Fierrez, J. and Sánchez, J. and Ribeiro, B. ,Proceedings of the 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part II , "Pattern Recognition and Image Analysis, LNCS 11867, Springer, Part II", vol. II, 2019 2018(1 publication) [publication]Alberto Cardoso and Teixeira, C. and Henriques, J. and P. Gil and Guerra, H. and Garcia, A.M. and Ribeiro, B. and Leite, F.S. and Araújo, R. ,Proceedings of the 13th APCA - International Conference on Automatic Control and Soft-Computing – CONTROLO 2018 , "Proc. of the 13th APCA - International Conference on Automatic Control and Soft-Computing – CONTROLO 2018", vol. 1, 2018 2007(2 publications) [publication]Beliczynski, B. and Dzielinski, A. and Iwanowski, M. and Ribeiro, B. , "Adaptive and Natural Computing Algorithms Part I", vol. 4431, 2007 [publication]Beliczynski, B. and Dzielinski, A. and Iwanowski, M. and Ribeiro, B. , "Adaptive and Natural Computing Algorithms Part II", vol. 4432, 2007 2005(1 publication) [publication]Ribeiro, B. , "Adaptive and Natural Computing Algorithms", vol. 1, 2005 Book Chapters 2020(1 publication) [publication]Francisco Antunes and Pereira, F.C. and Ribeiro, B. , "Directional Grid-based Search for Simulation Metamodeling using Active Learning", in Intelligent Transport Systems. From Research and Development to the Market Uptake , vol. 310, pp. 32-46, 2020 2014(1 publication) [publication]Freiria, S. and Tavares, A.O. and Ribeiro, B. , "Road infrastructures for risk management: From regional to local dynamics", in Safety, Reliability and Risk Analysis: Beyond the Horizon, Steenbergen et al.(Eds)Taylor & Francis Group, London, ISBN 978-1-138-00123-7, vol. *, pp. 669-677, 2014 2011(2 publications) [publication]Ferreira, J. and Crisóstomo, M. and Coimbra, P. and Ribeiro, B. , "SVR controller for a biped robot with a human-like gait subjected to external sagittal forces", 2011 [publication]Liu, Q. and Sung, A.H. and Qiao, M. and Ribeiro, B. and Chen, N. , "Feature Mining and Pattern Recognition in Multimedia Forensics - Detection of JPEG Image Based Steganography, Double-Compression, Interpolations and WAV Audio Based Steganography", 2011 2003(1 publication) [publication]Ribeiro, B. , "Learning Adaptive Kernels for Model Diagnosis", in Design and Application of Hybrid Intelligent Systems, vol. 104, pp. 563-571, 2003 2002(1 publication) [publication]Ribeiro, B. and P. Carvalho , "Mercer's Kernel Based Learning", in Soft Computing: Design, Management and Applications, Frontiers in Artificial Intelligence and Applications, IOS Press, pp. 341-350, 2002 [citation][year=2010]• Serhiy KOSINOV, Machine learning approach to semantic augmentation of multimedia documents for efficient access and retrieval, University of Genever, PhD Dissertation, 2010. 2001(1 publication) [publication]Silva, C. and Ribeiro, B. , "A Modular Constructive Approach to Mobile Robot Navigation", in Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies 2001, pp. 313-317, 2001 2000(1 publication) [publication]Dimirovski, G.M. and António Dourado and Ribeiro, B. , "Learning Control of Thermal Systems", in Control of Complex Systems, vol. 1, pp. 317-337, 2000 [citation][year=2003]FUZZY CONTROL SYSTEMS FOR THERMAL PROCESSES: SYNTHESIS, DESIGN AND IMPLEMENTATION NA Lyupco, MJ STANKOVSKI, TDK GUGULOVSKA, MD ? - istanbul.edu.tr Page 1. ISTANBUL UNIVERSITY " JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING YEAR VOLUME NUMBER : 2003 : 3 : 1 (759-773) [citation][year=2003]COMPARATIVE ANALYSIS OF KOLMOGOROV ANN AND PROCESS CHARACTERISTIC INPUT-OUTPUT MODES MD Georgi, J Yuanwei - istanbul.edu.tr ISTANBUL UNIVERSITY - JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING YEAR VOLUME NUMBER : 2003 : 3 : 1 (745-758) [citation][year=2000]ROADS TO REGIONAL CONFLICT RESOLUTION VIA ACADEMIC AND NATIONAL GOALS OF CO-OPERATION K Schlacher - Conflict Management and Resolution in Regions of Long ?, 2000 - Pergamon 1995(1 publication) [publication]Ribeiro, B. and António Dourado , "Lime Kiln Simulation and Control by Neural Networks", in Neural Networks for Chemical Engineers, pp. 163-191, 1995 [citation][year=2010]1 过量空气系数及喂煤量对回转窑温度分布影响 刘方， 杨丽， 宋正昶… - 轻金属, 2010 - cqvip.com 首页; 期刊大全; 知识社区; 学者空间; 学术机构; 专题导读; 充值中心. 客服中心. 维普资讯 中文期刊•专业文章. 维普专业检索. 错误号：99 该篇文章不存在或已被移除！ <<回到维普资讯首页. 关于我们 | 客服中心 | 广告服务 | 版权合作 | 网站联盟 ... [citation][year=2003]FAUR-BRASQUET C, LE CLOIREC P, Modelling of the flow behavior of activated carbon cloths using a neural network approach, CHEMICAL ENGINEERING AND PROCESSING, 42 (8-9): 645-652 AUG-SEP 2003 [citation][year=2003] SOFT SENSORS FOR THE CEMENT INDUSTRY"NEURAL NETWORK MODELS FOR KILN AND GRINDING MILL VR Radhakrishnan - Technology Platform: Oilfield Gas Treatment and Utilization - utp.edu.my 29 VOLUME THREE NUMBER TWO JULY-DECEMBER 2003 PLATFORM Technology Cluster: INTELLIGENT SYSTEMS Technology Platform: APPLICATION OF [citation][year=2002]The Neural Network Optimization Control Strategy For Catalytic Hydrogen, COMPUTER SIMULATION 2002 Vol.19 No.6 P.44-45, 64 [citation][year=2002]DATA ACQUISITION AND PRETREATMENT VR Radhakrishnan - Process Improvement in Manufacturing, a Topical Conference: ?, 2002 - Amer Inst of Chemical Engineers [citation][year=2001]Jarvensivu M, Saari K, Jamsa-Jounela SL Intelligent control system of an industrial lime kiln process , CONTROL ENGINEERING PRACTICE 9 (6): 589-606 JUN 2001 [citation][year=2000]Jarvensivu M, Juuso E, Ahava O Intelligent supervisory-level control of industrial processes, PAPERI JA PUU-PAPER AND TIMBER 82 (6): 386-391 2000 [citation][year=1999]Review of the applications of neural networks in chemical process control"simulation and online ? - grupo de 3 » M Azlan Hussain - Artificial Intelligence in Engineering, Volume 13, Issue 1, January 1999, Pages 55-681999 - Elsevier 1993(1 publication) [publication]Ribeiro, B. and António Dourado , "Industrial Lime Kiln Simulation and Control by Neural Networks", in Energy Efficiency in Process Technology, pp. 779-788, 1993 [citation][year=2011]Paavo Nieminen, Tommi Karkkainen, Kari Louostarinen, and Jukka Muhonen, "Neural Prediction of Product Quality Based On Pilot Paper Machine Process Measurements", Adaptive and Natural Computing Algorithms, 10th International Conference, ICANNGA 2011, Proceedings, Part I(LNCS 6593), pp. 240-249, Ljubljana, Slovenia, April 2011. [citation][year=2004]Esko K. Juuso, MODELLING AND SIMULATION IN ADVANCED CONTROL, Control Engineering Laboratory, Department of Environmental and Process Engineering, P.O. Box 4300, FIN-90014 University of Oulu, Finland, The World"s First Virtual Centre for Simulation, http://www.sim-serv.com MSc Theses 2019(1 publication) [publication]Azevedo, D. and Ribeiro, B. and Alberto Cardoso , "Condition-Based Maintenance for Diagnosis and Prognosis in Aircraft Systems - Application in the Air Bleed System of Boeing 747 ", 2019 2012(1 publication) [publication]João Gonçalves and Ribeiro, B. and Noel Lopes , "Development of Support Vector Machines in Graphics Processing Units for Pattern Recognition", 2012 Tech Report 2020(1 publication) [publication]Phong, N.H. and Ribeiro, B. , "Rethinking Recurrent Neural Networks and other Improvements for Image Classification", 2020 2019(1 publication) [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks", 2019 2018(2 publications) [publication]Leitão, J. and P. Gil and Ribeiro, B. and Alberto Cardoso , "Adaptive Supervisory Framework for Cyber-Physical Systems", 2018 [publication]Azevedo, D. and Ribeiro, B. and Alberto Cardoso , "Benchmark of methods applied to PHM08 Challenge Dataset", 2018 2017(4 publications) [publication]Francisco Antunes and Ribeiro, B. and Pereira, F.C. and Gomes, R. , "Active Learning Metamodels for Transportation Simulators", 2017 [publication]Rahul Sharma and Ribeiro, B. and A. M. Pinto and Amilcar Cardoso and Duarte Raposo and Marcelo, . and Rodrigues, A. and Jorge Sá Silva and Boavida, F. , "Computational concept modeling for student centric lifestyle analysis: A technical report on socialite case study", 2017 [publication]Vieira, A. and Ribeiro, B. and Ferreira, J. , "GAIT Analysis: Methods & Data Review", 2017 [publication]Dib, M. and Ribeiro, B. and Prates, P. , "Comparison of Machine Learning Algorithms to Build a Model for Predicting Defects in Sheet Metal Forming Processes", 2017 2005(1 publication) [publication]Silva, C. and Ribeiro, B. and Lotrič, U. and Dobnikar, A. , "Intelligent Data Mining in the GRID Environment - Report 10/2005", 2005 2003(1 publication) [publication]Kovacec, A. and Ribeiro, B. , "Convex Hull Calculations: A MATLAB implementation and Correctness Proofs for the LRS-Algorithm", 2003 [citation][year=2010]Piatti, A., Antonucci, A., Zaffalon, M. (2010). Building knowledge-based systems by credal networks: a tutorial. In Baswell, A. R. (Ed), Advances in Mathematics Research 11, Nova Science Publishers, New York. 2000(2 publications) [publication]Araujo, F. and Ribeiro, B. and rodrigues, L. , "A Neural Network for Shortest path Computation", 2000 [citation][year=2011]R.NALLUSAMYa, K.DURAISWAMY "Feedforward Networks Based Straightforward Hierarchical Routing in Solar Powered Wireless Sensor Networks" in WSEAS TRANSACTIONS on COMMUNICATIONS - Issue 1, Volume 10, January 2011 [publication]Araujo, F. and Ribeiro, B. and rodrigues, L. , "A Neural Network for Short Path Computation", 2000 [citation][year=2004]Dianxun Shuai and Hongbin Zhao A new generalized cellular automata approach to optimization of fast packet switching, textit{Computer Networks: The International Journal of Computer and Telecommunications Networking}, Elsevier B.V., Vol. 45, Issue 4, July, 2004, Pp. 399-419 [citation][year=2004]Xiangyu Ye, AN INDEXING STRUCTURE AND APPLICATION MODEL FOR VEHICLES MOVING ON ROAD NETWORKS PhD Thesis, COMPUTER SCIENCE, FLORIDA INTERNATIONAL UNIVERSITY, Miami, Florida,USA 2004