Journal Articles 2020(1 publication) [publication]Pisano, F. and Sias, G. and Fanni, A. and Cannas, B. and António Dourado and Pisano, B. and Teixeira, C. , "Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy", Complexity, 2020 2019(1 publication) [publication]Pisano, B. and Teixeira, C. and António Dourado and Fanni, A. , "Application of self-organizing map to identify nocturnal epileptic seizures", Neural Computing and Applications, 2019 2018(1 publication) [publication]Machado, F. and Sales, F. and Santos, C. and António Dourado and Teixeira, C. , "A knowledge discovery methodology from EEG data for cyclic alternating pattern detection", BioMedical Engineering OnLine, vol. 17, pp. 185-185, 2018 2017(1 publication) [publication]Bruno Direito and Teixeira, C. and Sales, F. and Castelo-Branco, M. and António Dourado , "A Realistic Seizure Prediction Study Based on Multiclass SVM", International Journal of Neural Systems, vol. 27, pp. 1750006-1750006, 2017 2016(6 publications) [publication]Behbahani, S. and Dabanloo, N.J. and Nasrabadi, A.M. and António Dourado , "Classification of ictal and seizure-free HRV signals with focus on lateralization of epilepsy", Technology and Health Care, vol. 24, pp. 43-54, 2016 [publication]Behbahani, S. and Dabanloo, N.J. and Nasrabadi, A.M. and António Dourado , "Gender-Related Differences in Heart Rate Variability of Epileptic Patients", American Journal of Men's Health, pp. 1-9, 2016 [publication]Behbahani, S. and Dabanloo, N.J. and Nasrabadi, A.M. and António Dourado , "Prediction of epileptic seizures based on heart rate variability", Technology and Health Care, vol. 24, pp. 795-810, 2016 [publication]Lopes, A.M.C.M. and Nunes, A. and Niza, M. and António Dourado , "Intra-abdominal Pressure is Influenced by Body Position?", American Journal of Clinical Medicine Research http://pubs.sciepub.com/ajcmr/4/1/3/, vol. 4, pp. 11-18, 2016 [publication]Lopes, A.M.C.M. and Morgado, M. and Niza, M. and António Dourado , "Biophysical Validation of Intra- Abdominal Pressure and Transurethral Method", Journal of Veterinary Science & Medical Diagnosis , 2016 [publication]Moradian, M. and Hamacher, H. and António Dourado , "NFLUENCING PROCESS VARIABLES AND PREDICTIVE MODELS FOR OPACITY USING REAL DATA OF MWPI ", Cellulose Chemistry and Technology, vol. 50, pp. 93-100, 2016 2015(4 publications) [publication], J.R. and Mollaei, M.R.K. and Bandarabadi, M. and Teixeira, C. and António Dourado , "Epileptic seizure prediction based on ratio and differential linear univariate features", Journal of Medical Signals and Sensors, vol. 5, 2015 [citation][year=2016]Gadhoumi, K., Lina, J.M., Mormann, F. and Gotman, J., 2016. Seizure prediction for therapeutic devices: A review. Journal of neuroscience methods, 260, pp.270-282. [citation][year=2016]Zhang, Z. and Parhi, K.K., 2016. Low-complexity seizure prediction from iEEG/sEEG using spectral power and ratios of spectral power. IEEE transactions on biomedical circuits and systems, 10(3), pp.693-706. [citation][year=2016]Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I.S., Pearl, P.L. and Loddenkemper, T., 2016. Automated seizure detection systems and their effectiveness for each type of seizure. Seizure, 40, pp.88-101. [citation][year=2016]Behnam, M. and Pourghassem, H., 2016. Real-time seizure prediction using RLS filtering and interpolated histogram feature based on hybrid optimization algorithm of Bayesian classifier and Hunting search. Computer methods and programs in biomedicine, 132, pp.115-136. [citation][year=2016]Zainuddin, Z., Lai, K.H. and Ong, P., 2016. 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[publication]Lopes, A.M.C.M. and António Dourado and Niza, M. , "3D Modeling of Abdominal Surface Area in Cats", Journal of Veterinary Science & Technology, vol. 6, 2015 2014(5 publications) [publication]Behbahani, S. and Dabanloo, N.J. and Nasrabadi, A.M. and Teixeira, C. and António Dourado , "A new algorithm for detection of epileptic seizures based on HRV signal", Journal of Experimental & Theoretical Artificial , pp. 1-15, 2014 [citation][year=2016]Valke, N.S. and Karthikeyan, B.R., 2016, December. Development of classification algorithm for epileptic seizures using electrocardiogram signal. In India Conference (INDICON), 2016 IEEE Annual (pp. 1-6). IEEE. [citation][year=2016]Qaraqe, M., Ismail, M. and Serpedin, E., 2016, August. Combined matching pursuit and Wigner-Ville Distribution analysis for the discrimination of ictal heart rate variability. In Signal Processing Conference (EUSIPCO), 2016 24th European (pp. 2045-2049). IEEE. [citation][year=2016]Qaraqe, M., Ismail, M., Serpedin, E. and Zulfi, H., 2016. Epileptic seizure onset detection based on EEG and ECG data fusion. Epilepsy & Behavior, 58, pp.48-60. [citation][year=2015]Epileptic seizure detection using wristworn biosensors D Cogan, M Nourani, J Harvey… - … in Medicine and …, 2015 - ieeexplore.ieee.org Abstract—Single signal seizure detection algorithms suffer from high false positive rates. We have found a set of signals which can be easily monitored by a wristworn device and which produce a distinctive pattern during seizure for patients in an epilepsy monitoring unit ( ... [publication]Teixeira, C. and Bruno Direito and Bandarabadi, M. and LeVanQuyen, M. and Valderrama, M. and Schelter, B. and Bonhage, A.S. and Navarro, V. and Sales, F. and António Dourado , "Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients", Computer Methods and Programs in Biomedicine, 2014 [citation][year=2016]Zhang, Z. and Parhi, K.K., 2016. Low-complexity seizure prediction from iEEG/sEEG using spectral power and ratios of spectral power. IEEE transactions on biomedical circuits and systems, 10(3), pp.693-706. [citation][year=2016]Brinkmann, B.H., Wagenaar, J., Abbot, D., Adkins, P., Bosshard, S.C., Chen, M., Tieng, Q.M., He, J., Muñoz-Almaraz, F.J., Botella-Rocamora, P. and Pardo, J., 2016. Crowdsourcing reproducible seizure forecasting in human and canine epilepsy. Brain, 139(6), pp.1713-1722. [citation][year=2016]Lehnertz, K., Dickten, H., Porz, S., Helmstaedter, C. and Elger, C.E., 2016. Predictability of uncontrollable multifocal seizures–towards new treatment options. Scientific reports, 6. [citation][year=2016]Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I.S., Pearl, P.L. and Loddenkemper, T., 2016. Automated seizure detection systems and their effectiveness for each type of seizure. Seizure, 40, pp.88-101. [citation][year=2016]Satapathy, S.K., Dehuri, S. and Jagadev, A.K., 2016. An Empirical Analysis of Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure. International Journal of Applied Engineering Research, 11(1), pp.120-129. [citation][year=2015]Seizure prediction using polynomial SVM classification Z Zhang, KK Parhi - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org Abstract—This paper presents a novel patient-specific algorithm for prediction of seizures in epileptic patients with low hardware complexity and low power consumption. In the proposed approach, we first compute the spectrogram of the input fragmented EEG ... [citation][year=2015]Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power Z Zhang, KK Parhi - 2015 - ieeexplore.ieee.org EEG patterns are not wide-sense stationary and change from seizure to seizure, electrode to electrode, and from patient to patient. This paper presents a novel patient-specific algorithm for prediction of seizures in epileptic patients from either one or two single-channel or ... [citation][year=2015]Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain VK Kimiskidis, C Koutlis, A Tsimpiris… - … journal of neural …, 2015 - World Scientific Background: Transcranial magnetic stimulation combined with electroencephalogram (TMS- EEG) can be used to explore the dynamical state of neuronal networks. In patients with epilepsy, TMS can induce epileptiform discharges (EDs) with a stochastic occurrence ... [publication]Alvarado-Rojas, C. and Valderrama, M. and Fouad-Ahmed, A. and Feldwirsch-Drentrup, H. and Ihle, M. and Teixeira, C. and Sales, F. and Bonhage, A.S. and Adam, C. and António Dourado and Charpier, S. and Navarro, V. and LeVanQuyen, M. , "Slow modulations of high-frequency activity (40-140 Hz) discriminate preictal changes in human focal epilepsy", Scientific Reports, 2014 [citation][year=2016]Jin, B., Wang, S., Yang, L., Shen, C., Ding, Y., Guo, Y., Wang, Z., Zhu, J., Wang, S. and Ding, M., 2016. Prevalence and predictors of subclinical seizures during scalp video-EEG monitoring in patients with epilepsy. International Journal of Neuroscience, pp.1-8. [citation][year=2016]Amiri, M., Frauscher, B. and Gotman, J., 2016. Phase-Amplitude coupling is elevated in deep sleep and in the onset zone of focal epileptic seizures. Frontiers in Human Neuroscience, 10. [citation][year=2016]Nonoda, Y., Miyakoshi, M., Ojeda, A., Makeig, S., Juhász, C., Sood, S. and Asano, E., 2016. Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves. Clinical Neurophysiology, 127(6), pp.2489-2499. [citation][year=2016]He, Y. and Yang, F., 2016, August. Temporal evolution analysis of functional connectivity in epilepsy based on weighted complex networks. In Signal Processing, Communications and Computing (ICSPCC), 2016 IEEE International Conference on (pp. 1-3). IEEE. [citation][year=2015]Collaborating and sharing data in epilepsy research JB Wagenaar, GA Worrell, Z Ives… - Journal of Clinical …, 2015 - journals.lww.com Summary: Technological advances are dramatically advancing translational research in Epilepsy. Neurophysiology, imaging, and metadata are now recorded digitally in most centers, enabling quantitative analysis. Basic and translational research opportunities to ... [citation][year=2015]Computational modeling of neurostimulation in brain diseases Y Wang, F Hutchings, M Kaiser - Progress in brain research, 2015 - Elsevier Abstract Neurostimulation as a therapeutic tool has been developed and used for a range of different diseases such as Parkinson's disease, epilepsy, and migraine. However, it is not known why the efficacy of the stimulation varies dramatically across patients or why some ... [citation][year=2015]Defining regions of interest using cross-frequency coupling in extratemporal lobe epilepsy patients M Guirgis, Y Chinvarun, M del Campo… - Journal of neural …, 2015 - iopscience.iop.org Objective. Clinicians identify seizure onset zones (SOZs) for resection in an attempt to localize the epileptogenic zone (EZ), which is the cortical tissue that is indispensible for seizure generation. An automated system is proposed to objectively localize this EZ by ... [citation][year=2015]Neural Codes Characterizing Epileptic Brain States M Guirgis - 2015 - tspace.library.utoronto.ca Epilepsy is a dynamical disease and its effects are evident in over fifty million people worldwide. For patients with medically intractable epilepsy, clinicians identify seizure onset zones (SOZs) for resection in an attempt to localize the epileptogenic zone (EZ), which is ... [citation][year=2015]Conundrums of High-Frequency Oscillations (80–800 Hz) in the Epileptic Brain LM de la Prida, RJ Staba, JA Dian - Journal of Clinical …, 2015 - journals.lww.com Summary: Pathological high-frequency oscillations (HFOs)(80–800 Hz) are considered biomarkers of epileptogenic tissue, but the underlying complex neuronal events are not well understood. Here, we identify and discuss several outstanding issues or conundrums in ... Citar Guardar Mais [publication]Bandarabadi, M. and Teixeira, C. and , J.R. and António Dourado , "Epileptic Seizure Prediction Using Relative Spectral Power Features", Clinical Neurophysiology, 2014 [citation][year=2015]Seizure prediction for therapeutic devices: a review K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2015 - Elsevier Abstract Research in seizure prediction has come a long way since its debut almost 4 decades ago. Early studies suffered methodological caveats leading to overoptimistic results and lack of statistical significance. The publication of guidelines addressing mainly the ... [citation][year=2015][Z Zhang, KK Parhi - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org Abstract—This paper presents a novel patient-specific algorithm for prediction of seizures in epileptic patients with low hardware complexity and low power consumption. In the proposed approach, we first compute the spectrogram of the input fragmented EEG ... [citation][year=2015]Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power Z Zhang, KK Parhi - 2015 - ieeexplore.ieee.org EEG patterns are not wide-sense stationary and change from seizure to seizure, electrode to electrode, and from patient to patient. This paper presents a novel patient-specific algorithm for prediction of seizures in epileptic patients from either one or two single-channel or ... [citation][year=2015]Is Using Threshold-Crossing Method and Single Type of Features Sufficient to Achieve Realistic Application of Seizure Prediction? Y Zheng, G Wang, J Wang - Clinical EEG and neuroscience, 2015 - eeg.sagepub.com Objective. This study aims to verify whether the simple threshold-crossing method can work well enough to achieve the realistic application of seizure prediction on the basis of a large public database, and examines how a more complex classifier can improve prediction ... [citation][year=2015]Patient-specific epileptic seizure prediction using correlation features O Panichev, A Popov… - Signal Processing …, 2015 - ieeexplore.ieee.org Abstract—In this contribution, several classifiers are employed to study patient-specific epileptic seizure prediction quality using intracranial electroencephalogram signal (iEEG) for dogs and humans suffering from epilepsy. New approach to extraction of correlation- ... [citation][year=2015]Seizure detection using regression tree based feature selection and polynomial SVM classification Z Zhang, KK Parhi - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org Abstract—This paper presents a novel patient-specific algorithm for detection of seizures in epileptic patients with low hardware complexity and low power consumption. In the proposed approach, we first compute the spectrogram of the input fragmented EEG ... [citation][year=2015][PDF] 2015 Signal Processing Symposium (SPSympo) D Village - 2015 - researchgate.net Abstract—This paper focuses on the Time of Arrival (TOA) estimation problem related to new application of pulsar signals for airplane-based navigation. The aim of the paper is to propose and evaluate a possible algorithm for TOA estimation that consists of epoch ... [citation][year=2015]Epileptic Seizure Detection and Prediction Based on Continuous Cerebral Blood Flow Monitoring–a Review S Tewolde, K Oommen, DYC Lie… - Journal of …, 2015 - multi-science.atypon.com Epilepsy is the third most common neurological illness, affecting 1% of the world's population. Despite advances in medicine, about 25 to 30% of the patients do not respond to or cannot tolerate the severe side effects of medical treatment, and surgery is not an ... [publication]P. Gil and Henriques, J. and Alberto Cardoso and P. Carvalho and António Dourado , "Affine Neural Network-Based Predictive Control Applied to a Distributed Solar Collector Field", Control Systems Technology, IEEE Transactions on, vol. 22, pp. 585-596, 2014 [citation][year=2016]Shen, Ling, et al. "Temperature uniformity control of large-scale vertical quench furnaces for aluminum alloy thermal treatment." IEEE Transactions on Control Systems Technology 24.1 (2016): 24-39. [citation][year=2016]Zhang, Zhen, Cheng Ma, and Rong Zhu. "Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules." Sensors 16.10 (2016): 1709. [citation][year=2016]Andonovski, Goran, et al. "Robust evolving cloud-based control for the distributed solar collector field." Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on. IEEE, 2016. [citation][year=2016]Xiang, Kui, et al. "Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems." IEEE Access 4 (2016): 3300-3309. [citation][year=2015]Temperature Uniformity Control of Large-Scale Vertical Quench Furnaces for Aluminum Alloy Thermal Treatment L Shen, J He, C Yang, W Gui, H Xu - ieeexplore.ieee.org Abstract—The thermal treatment of aluminum alloy workpieces requires strict temperature uniformity in largescale vertical quench furnaces. To achieve the desired temperature uniformity in a large-scale spatial setting, a temperature uniformity control strategy ... [citation][year=2015]Generalized Predictive Control of Temperature on an Atomic Layer Deposition Reactor WJ He, HT Zhang, Z Chen, B Chu, K Cao, B Shan… - ieeexplore.ieee.org Abstract—This brief establishes a closed-loop control system for a radiant heating atomic layer deposition (ALD) reactor using generalized predictive control (GPC). The GPC-based closed-loop control system can rapidly and precisely stabilize the temperature in the ... [citation][year=2014]Zhang, Ridong, and F. Gao. "Temperature control of industrial coke furnace using novel state space model predictive control." (2014). 2013(3 publications) [publication]P. Gil and Henriques, J. and Alberto Cardoso and António Dourado , "On affine state-space neural networks for system identification: Global stability conditions and complexity management", Control Engineering Practice, 2013 [citation][year=2016]Tutunji, Tarek A. "Parametric system identification using neural networks." Applied Soft Computing 47 (2016): 251-261. [citation][year=2015]Ma, Xingyun, and Feng Ding. "Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems." Journal of the Franklin Institute 352, no. 1 (2015): 248-258. [citation][year=2015]Wavenet using artificial bee colony applied to modeling of truck engine powertrain components CE Klein, M Bittencourt, L dos Santos Coelho - Engineering Applications of …, 2015 - Elsevier Abstract The purpose of this paper is to validate an artificial wavelet neural network, or wavenet model, combined with artificial bee colony optimization, a swarm intelligence paradigm, to model powertrain components of a truck engine. The arrangement of artificial ... [citation][year=2013]Singh, Bhim, Sabha Raj Arya, Ambrish Chandra, and Kamal Al-Haddad. "Variable step learning control algorithm for VSC based shunt compensator." In Power Electronics for Distributed Generation Systems (PEDG), 2013 4th IEEE International Symposium on, pp. 1-7. IEEE, 2013. [publication], J.R. and Mollaei, M.R.K. and Bandarabadi, M. and Teixeira, C. and António Dourado , "Preprocessing effects of 22 univariate features on the performance of seizure prediction methods", Journal of Neuroscience Methods, 2013 [citation][year=2016]Parvez, M.Z. and Paul, M., 2016. Epileptic seizure prediction by exploiting spatiotemporal relationship of EEG signals using phase correlation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(1), pp.158-168. [citation][year=2016]Fergus, P., Hussain, A., Hignett, D., Al-Jumeily, D., Abdel-Aziz, K. and Hamdan, H., 2016. A machine learning system for automated whole-brain seizure detection. Applied Computing and Informatics, 12(1), pp.70-89. [citation][year=2016]Bhardwaj, A., Tiwari, A., Krishna, R. and Varma, V., 2016. A novel genetic programming approach for epileptic seizure detection. Computer methods and programs in biomedicine, 124, pp.2-18. 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[citation][year=2015]Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques P Fergus, D Hignett, A Hussain, D Al-Jumeily… - BioMed research …, 2015 - hindawi.com The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram. The diagnosis ... [citation][year=2015]An Innovative Genetic Programming Framework in modelling a real time Epileptic Seizure detection system A Bhardwaj, A Tiwari, M RameshKrishna… - 2015 - ase360.org Epilepsy, sometimes called seizure disorder, is a neurological condition that substantiates itself as a susceptibility to seizures. A seizure is a sudden burst of rhythmic discharges of electrical activity in the brain that causes an alteration in behavior, sensation, or ... [citation][year=2015]Reliable seizure prediction from EEG data V Cherkassky, B Veber, J Lee, HT Shiao… - … Joint Conference on, 2015 - ieeexplore.ieee.org Abstract-There is a growing interest in data-analytic modeling for prediction and/or detection of epileptic seizures from EEG recording of brain activity [1-10]. Even though there is clear evidence that many patients have changes in EEG signal prior to seizures, development ... Citar Guardar Mais [citation][year=2015]Band-sensitive seizure onset detection via CSP-enhanced EEG features M Qaraqe, M Ismail, E Serpedin - Epilepsy & Behavior, 2015 - Elsevier Abstract This paper presents two novel epileptic seizure onset detectors. The detectors rely on a common spatial pattern (CSP)-based feature enhancement stage that increases the variance between seizure and nonseizure scalp electroencephalography (EEG). The ... [citation][year=2015]Machine learning for seizure prediction: A revamped approach A Sai Kumar, L Nigam, D Karnam… - Advances in …, 2015 - ieeexplore.ieee.org Abstract—Occurrence of multiple seizures is a common phenomenon observed in patients with epilepsy: a neurological malfunction that affects approximately 50 million people in the world. Seizure prediction is widely acknowledged as an important problem in the ... [citation][year=2015]A novel genetic programming approach for epileptic seizure detection A Bhardwaj, A Tiwari, R Krishna, V Varma - Computer methods and …, 2015 - Elsevier Abstract The human brain is a delicate mix of neurons (brain cells), electrical impulses and chemicals, known as neurotransmitters. Any damage has the potential to disrupt the workings of the brain and cause seizures. These epileptic seizures are the manifestations ... [citation][year=2015][PDF] A Machine Learning System for Automated Whole-Brain Seizure Detection B Street, P de Moulon - 2015 - researchgate.net ABSTRACT Epilepsy is a chronic neurological condition that affects approximately 70 million people worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as seizures, epilepsy is still not well understood when compared with other ... [citation][year=2015]Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation MZ Parvez, M Paul - 2015 - ieeexplore.ieee.org Abstract—Automated seizure prediction has a potential in epilepsy monitoring, diagnosis, and rehabilitation. Electroencephalogram (EEG) is widely used for seizure detection and prediction. This paper proposes a new seizure prediction approach based on ... [citation][year=2015][HTML] A machine learning system for automated whole-brain seizure detection P Fergus, A Hussain, D Hignett, D Al-Jumeily… - Applied Computing and …, 2015 - Elsevier Abstract Epilepsy is a chronic neurological condition that affects approximately 70 million people worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as seizures, epilepsy is still not well understood when compared with other ... [citation][year=2015][PDF] Detection of Pre-stage of Epileptic Seizure by Exploiting Temporal Correlation of EMD Decomposed EEG Signals MZ Parvez, M Paul, M Antolovich - Journal of Medical and Bioengineering …, 2015 - jomb.org Abstract—Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting over 50 million individuals worldwide. The Electroencephalogram (EEG) is the most influential technique in ... [citation][year=2015]Seizure prediction by analyzing EEG signal based on phase correlation MZ Parvez, M Paul - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org Abstract—Epilepsy is a common neurological disorders characterized by sudden recurrent seizures. Electroencephalogram (EEG) is widely used to diagnose possible epileptic seizure. Many research works have been devoted to predict epileptic seizure by analyzing ... [citation][year=2015]MZ Parvez, M Paul - csusap.csu.edu.au ABSTRACT Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting around 65 million individuals worldwide. Epileptic seizure may lead to many injuries such as ... [citation][year=2015][PDF] An Enhanced Wavelet Neural Network Model with Metaheuristic Harmony Search Algorithm for Epileptic Seizure Prediction Z Zainuddin, KH Lai, P Ong - International Journal of Modeling and …, 2015 - ijmo.org Abstract—The task of epileptic seizure prediction aims at differentiating between two classes of electroencephalography (EEG) signals, namely interictal and pre-ictal signals. The development of an automated classifier that is capable of performing such task with high ... [citation][year=2015][PDF] Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena MZ Parvez, M Paul - waset.org Abstract—A seizure prediction method is proposed by extracting global features using phase correlation between adjacent epochs for detecting relative changes and local features using fluctuation/deviation within an epoch for determining fine changes of ... [citation][year=2015]Parvez, Mohammad Zavid, Manoranjan Paul, and Michael Antolovich. 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[publication]Behbahani, S. and Dabanloo, N.J. and Nasrabadi, A.M. and Attarodi, G. and Teixeira, C. and António Dourado , "Epileptic Seizures Behaviors from the Perspective of Heart Rate Variability", in Computing in Cardiology, 2012 [citation][year=2015]P2P Data synchronization for product lifecycle management S Kubler, K Främling, W Derigent - Computers in Industry, 2015 - Elsevier Abstract Intelligent products are an undeniable asset for efficient product lifecycle management (PLM), providing ways to capture events related to physical objects at various locations and times. Today and more than ever before, PLM tools and systems must be ... 2011(12 publications) [publication]Bruno Direito and Teixeira, C. and António Dourado and Duarte, J. , "On the benefits of multidimensional scaling in epileptic seizure prediction", in 1st Portugese Meeting in Bioengineering, 2011 [citation][year=2014]Ghaderyan, Peyvand, Ataollah Abbasi, and Mohammad Hossein Sedaaghi. 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[citation][year=2013]Tetzlaff, Ronald, and Vanessa Senger. "The Seizure Prediction Problem in Epilepsy: Cellular Nonlinear Networks." Circuits and Systems Magazine, IEEE 12.4 (2012): 8-20. [publication]Bruno Direito and Ventura, F. and Teixeira, C. and António Dourado , "Optimized Feature Subsets for Epileptic Seizure Prediction Studies", in EMBC-2011, 33nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011 [citation][year=2016]Zainuddin, Z., Lai, K.H. and Ong, P., 2016. An enhanced harmony search based algorithm for feature selection: Applications in epileptic seizure detection and prediction. Computers & Electrical Engineering, 53, pp.143-162. [publication]Bandarabadi, M. and Teixeira, C. and António Dourado , "Wepilet, Optimal Orthogonal Wavelets for Epileptic Seizure Prediction with one Single Surface Channel", in EMBC-2011, 33nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011 [citation][year=2015]Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data O Smart, L Burrell - Engineering applications of artificial intelligence, 2015 - Elsevier Abstract Pattern classification for intracranial electroencephalogram (iEEG) and functional magnetic resonance imaging (fMRI) signals has furthered epilepsy research toward understanding the origin of epileptic seizures and localizing dysfunctional brain tissue for ... [citation][year=2014]YADOLLAHPOUR, ALI, and MOSTAFA JALILIFAR. "Seizure Prediction Methods: A Review of the Current Predicting Techniques." Studies 153: 7. [citation][year=2014]Smart, Otis, and Lauren Burrell. "Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data." Engineering Applications of Artificial Intelligence 39 (2015): 198-214. [publication]António Dourado and Victor, J. , "Evolving Fuzzy Systems from Data: the Computational eFSLab(oratory)", in World Conference on Soft Computing, 2011 [publication]Vaz, C. and Silva, L. and António Dourado , "Detecting User-Visible Failures in Web-Sites by using End-to-End Fine-Grained Monitoring: An Experimental Study", in 10th IEEE International Symposium on Network Computing and Applications (NCA), 2011, 2011 [citation][year=2016]DF] On Client-Side Bottleneck Identification in HTTP Servers R Filipe, S Boychenko, F Araujo - researchgate.net Abstract. Standing on virtualization techniques, low maintenance costs and economies of scale, cloud computing emerged in the last few years as a major trend in the industry. Since cloud resources grow and shrink as needed, providers and users of the cloud must ... [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "Peptidase Detection and Classification Using Enhanced Kernel Methods with Feature Selection", in 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, Salamanca, Spain (2011), 2011 [publication]Correia, D. and Pereira, C. and Verissimo, P. and António Dourado , "A Platform for Peptidase Detection based on Text Mining Techniques", in International Symposium on Computational Intelligence for Engineering Systems, Coimbra, Portugal (2011), 2011 [publication]Oliveira, J. and Correia, D. and Pereira, C. and Verissimo, P. and António Dourado , "A Tool for Biomedical Documents Classification using Support Vector Machines ", in International Symposium on Computational Intelligence for Engineering Systems, Coimbra, Portugal (2011), 2011 [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "Efficient Discriminative Models for Proteomics with Simple and Optimized Features", in International Symposium on Computational Intelligence for Engineering Systems, Coimbra, Portugal (2011), 2011 [publication]Pereira, C. and Morgado, L.M. and Correia, D. and Verissimo, P. and António Dourado , "Kernel Machines for Proteomics Data Analysis: Algorithms and Tools", in 11th European Network for Business and Industrial Statistics, Coimbra, Portugal (2011), 2011 2010(5 publications) [publication]Teixeira, C. and Bruno Direito and Costa, R. and LeVanQuyen, M. and António Dourado , "A computational environment for long-term multi-feature and multi-algorithm seizure prediction", in Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010 [publication]António Dourado , "Teaching Production Planning and Control to Informatics Engineering Students", 2010 [publication]Almeida, P. and Paulo Gomes and Sales, F. and António Dourado and Nogueira, A.C. , "Ontology and Knowledge Management System on Epilepsy and Epileptic Seizures", in SWAT4LS, 2010 [citation][year=2015]PDON: Parkinson's disease ontology for representation and modeling of the Parkinson's disease knowledge domain E Younesi, A Malhotra, M Gündel, P Scordis… - … Biology and Medical …, 2015 - tbiomed.com Background Despite the unprecedented and increasing amount of data, relatively little progress has been made in molecular characterization of mechanisms underlying Parkinson's disease. In the area of Parkinson's research, there is a pressing need to ... [citation][year=2014]ADO: A disease ontology representing the domain knowledge specific to Alzheimer's disease A Malhotra, E Younesi, M Gündel, B Müller… - Alzheimer's & …, 2013 - Elsevier [citation][year=2014]Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care SS Sahoo, SD Lhatoo, DK Gupta, L Cui… - Journal of the …, 2013 - jamia.bmj.com [citation][year=2014]CPKMS: A Knowledge Management Repository For Community Pediatrics Oladejo Bolanle F., Olaolorun Ifeoluwatayo A. Informatiion and Knowledge Management, vol. 4 nº 4 (2014) ISSN 2224-5758 (Paper) ISSN 2224-896X (Online) [publication]Morgado, L.M. and Pereira, C. and António Dourado and Verissimo, P. , "PEPTILAB: A Computational Tool for Peptidase Data Analysis", in 5th WACI - Workshop on Applications of Computational Intelligence, 2010 [publication]Pereira, C. and António Dourado , "A Platform for Intelligent Search and Classification of Biomedical Literature, Daniel Correia, David Campos, Carlos Pereira, Paula Veríssimo, António Dourado", in 5th WACI - Workshop on Applications of Computational Intelligence, 2010 2009(11 publications) [publication]Aires, L. and Araújo, J. and António Dourado , "Industrial Monitoring by Evolving Fuzzy Systems", in IFSA2009/EUSFLAT09, the 2009 International Fuzzy Systems Association World Congress and 2009 International Conference of the European Society for Fuzzy Logic and Technology, 2009 [citation][year=2015]Implementation of evolving fuzzy models of a nonlinear process RE Precup, EI Voisan, EM Petriu… - Informatics in Control …, 2015 - ieeexplore.ieee.org Abstract: This paper presents details on the implementation of evolving Takagi-Sugeno- Kang (TSK) fuzzy models of a nonlinear process represented by the pendulum dynamics in the framework of the representative pendulum-crane systems. The pendulum angle is the ... [citation][year=2014]Online identification of evolving Takagi–Sugeno–Kang fuzzy models for crane systems RE Precup, HI Filip, MB R?dac, EM Petriu, S Preitl… - Applied Soft …, 2014 - Elsevier Abstract This paper suggests new evolving Takagi–Sugeno–Kang (TSK) fuzzy models dedicated to crane systems. A set of evolving TSK fuzzy models with different numbers of inputs are derived by the novel relatively simple and transparent implementation of an ... [citation][year=2009]1. Radu-Emil Precup1, Radu-Codruţ David1, Stefan Preitl1, Emil M. Petriu2 2009 [PDF] de ni.ac.rsUPSO ALGORITHMS - facta.junis.ni.ac.rs 1"Politehnica" University of Timisoara, Department of Automation and Applied Informatics, [publication]Bruno Direito and António Dourado and Teixeira, C. and Aires, L. and Costa, R. and Schelter, B. and LeVanQuyen, M. , "EPILAB: A Matlab® Platform for Multi-Feature and Multi-Algorithm Seizure Prediction Studies", in 4th International Workshop on Seizure Prediction, 2009 [publication]Teixeira, C. and Costa, R. and Bruno Direito and António Dourado , "Low-Complex TD-RBF and TD-SVM Seizures Predictors Based on EEG Energy and ECG Entropy", in 4th International Workshop on Seizure Prediction, 2009 [publication]António Dourado and P. Carvalho and Henriques, J. , "Intelligent and Adaptive Systems in Medicine", in Chapter 5: Neural, Fuzzy and Neuro-fuzzy Systems for Medical Applications, 2009 [citation][year=2009]Using Neural Models for Evaluation of Biological Activity of Selected Chemical Compounds R Tadeusiewicz - Applications of Computational Intelligence in Biology - Springer [publication]António Dourado and Aires, L. and Victor, J. , "eFSLab: Developing Evolving Fuzzy Systems from Data in a Friendly Environment", in 10th European Control Conference, 2009 [citation][year=2011]Adaptive kernel smoothing regression using vector quantization FM Pouzols, A Lendasse - Evolving and Adaptive Intelligent …, 2011 - ieeexplore.ieee.org [citation][year=2010]Evolving fuzzy optimally pruned extreme learning machine: A comparative analysis FM Pouzols, A Lendasse - Fuzzy Systems (FUZZ), 2010 IEEE …, 2010 - ieeexplore.ieee.org [citation][year=2010]Evolving fuzzy optimally pruned extreme learning machine for regression problems FM Pouzols, A Lendasse - Evolving Systems, 2010 - Springer [publication]António Dourado and LeVanQuyen, M. and Schelter, B. and Favaro, G. and Bonhage, A.S. , "Challenging Brain-Computer Interface: the FP7 Epilepsiae Project", in IST Africa 2009 Conference & Exhibition, 2009 [publication]António Dourado and Ssilva, S. and Aires, L. and Araújo, J. , "Combining multidimensional scaling and computational intelligence for industrial monitoring", in 90th Industrial Conference on Data Mining ICDM 2009, vol. 5633, 2009 [citation][year=2014]Heterogeneous network analysis on academic collaboration networks Q Meng - 2014 - opus.lib.uts.edu.au Heterogeneous networks are a type of complex network model which can have multi-type objects and relationships. Nowadays, research on heterogeneous networks has been increasingly attracting interest because these networks are more advantageous in ... [publication]António Dourado and Ventura, A. and João M. Franco and J. P. Ramos and Bruno Direito , "Epileptic Seizure Prediction and The", in 19th International Conference on Artificial Neural Networks, vol. 5769, 2009 [citation][year=2015]Online epileptic seizure prediction using wavelet-based bi-phase correlation of electrical signals tomography Z Vahabi, R Amirfattahi, F Shayegh… - International journal of …, 2015 - World Scientific Considerable efforts have been made in order to predict seizures. Among these methods, the ones that quantify synchronization between brain areas, are the most important methods. However, to date, a practically acceptable result has not been reported. In this paper, we ... [publication]António Dourado and LeVanQuyen, M. and Schelter, B. and Favaro, G. and Sales, F. and Navarro, V. and Bonhage, A.S. , "EPILEPSIAE- Evolving Platform for Improving Living Expectation of Patients Suffering from IctAl Events", in 4th International Worshop on Seizure prediction, 2009 [publication]Morgado, L.M. and Pereira, C. and António Dourado , "A Support Vector Machine based Framework for Protein Membership Prediction", in International Symposium on Computational Intelligence for Engineering Systems 2009, 2009 [citation][year=2016]Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words D Santoni, G Felici, D Vergni - Journal of theoretical biology, 2016 - Elsevier Abstract Casual mutations and natural selection have driven the evolution of protein amino acid sequences that we observe at present in nature. The question about which is the dominant force of proteins evolution is still lacking of an unambiguous answer. Casual ... [citation][year=2015]Machine Learning for Adaptive Many-Core Machines-A Practical Approach N Lopes, B Ribeiro - 2015 - Springer Today the increasing complexity, performance requirements and cost of current (and future) applications in society is transversal to a wide range of activities, from science to business and industry. In particular, this is a fundamental issue in the Machine Learning (ML) area, ... [citation][year=2013]Computational intelligence techniques in bioinformatics AE Hassanien, ET Al-Shammari, NI Ghali - Computational biology and …, 2013 - Elsevier Abstract Computational intelligence (CI) is a well-established paradigm with current systems having many of the characteristics of biological computers and capable of performing a variety of tasks that are difficult to do using conventional techniques. It is a methodology ... [publication]Morgado, L.M. and Pereira, C. and António Dourado , "Ensemble of Kernel Machines for Protein Classification", in Workshop Applications of Computational Intelligence, 2009 2008(12 publications) [publication]Bruno Direito and António Dourado and Marco Vieira and Sales, F. , "Combining Energy and Wavelet Transform for Epileptic Seizure Prediction in an Advanced Computational System", in International Conference on Biomedical Engineering and informatics, 2008 [citation][year=2015]Real-time mining of epileptic seizure precursors via nonlinear mapping and dissimilarity features S Nesaei, AR Sharafat - IET Signal Processing, 2015 - IET We propose a novel approach for detecting precursors to epileptic seizures in intracranial electroencephalograms (iEEGs), which is based on the analysis of system dynamics. In the proposed scheme, the largest Lyapunov exponent (LLE) of wavelet entropy of the ... [citation][year=2014]Real-time Detection of Precursors to Epileptic Seizures: Non-Linear Analysis of System Dynamics S Nesaei, AR Sharafat - Journal of medical signals and sensors, 2014 - ncbi.nlm.nih.gov [citation][year=2012]Manohar Ayinala, "Low-Power Architectures for Signal Processing and Classi?cation Systems", University of Minnesota, USA, August 2012. [citation][year=2010]Shao-Hang Hung, Chih-Feng Chao, Shu-Kai Wang, Bor-Shyh Lin, Chin-Teng Lin, "VLSI implementation for Epileptic Seizure Prediction System based on wavelet and chaos theory", IEEE Region 10 Conference 2010, TENCON 2010, Fukuoka, Japan, November 21-24, 2010. [citation][year=2010]Nesaei, S., Nesaei, S., "Comparison of phase synchrony information flow in human EEG through wavelet phase synchronization analysis", 2010 IEEE 10th International Conference on Signal Processing, ICSP 2010, Beijing, China, October 2010. [citation][year=2009]Hu, S., Stead, M., Liang, H., Worrell, G. A., "Reference Signal Impact on EEG Energy?, 6th international Symposium on Neural Networks: Advances in Neural Networks - Part III, Wuhan, China, May 2009. [publication]Bruno Direito and António Dourado and Marco Vieira and Sales, F. , "An Application for Electroencephalogram Mining for Epileptic Seizure Prediction", in ICDM- International Conference on Data Mining, 2008 [citation][year=2012]Nearest neighbor estimate of conditional mutual information in feature selection A Tsimpiris, I Vlachos, D Kugiumtzis - Expert Systems with Applications, 2012 - Elsevier [citation][year=2012]Alkiviadis Tsimpiris, Ioannis Vlachos, Dimitris Kugiumtzis, "Nearest neighbor estimate of conditional mutual information in feature selection", Expert Systems with Applications, Vol. 39 Issue 16, November 2012. [citation][year=2010]A. Tsimpiris, D. Kugiumtzis, "EEG Features as biomarkers for discrimination of pre-ictal states", International Conference on Biomedical Data & Knowledge Mining: Towards Biomarker Discovery, Chania, Greece, July 2010. [citation][year=2010]A. Tsimpiris, D. Kugiumtzis and P.G. Larsson, "Discrimination of epileptic pre-ictal states using feature based clustering on EEG", XII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2010), Porto Carras, Chalkidiki, Greece, May 2010. [publication]António Dourado and Martins, R. and Duarte, J. and Bruno Direito , "Towards Personalized Neural Networks for Epileptic Seizure Prediction", in International Conference on Neural Networks ICANN 2008, vol. 5164, 2008 [citation][year=2014]Design and Development of Prediction Model to Detect Seizure Activity Utilizing Higher Order Statistical Features of EEG signals. Meenakshi Sood*, and Sunil V Bhooshan Research Journal of Pharmaceutical, Biological and Chemical Sciences, May-June 2014 p. 1129 [publication]Bruno Direito and Martins, R. and Costa, R. and António Dourado and Sales, F. and Marco Vieira , "Computational Intelligence Algorithms for Seizure Prediction", in 8th European Congress on Epileptology, 2008 [publication]Bonhage, A.S. and Schelter, B. and LeVanQuyen, M. and Sales, F. and António Dourado , "A European database for seizure prediction,", in 8th European Congress on Epileptology, 2008 [publication]António Dourado and LeVanQuyen, M. and Schelter, B. and Favaro, G. and Bonhage, A.S. and Sales, F. , "EPILEPSIAE- evolving platform for improving living expectations of patients suffering from ictal events", in 8th European Congress on Epileptology, 2008 [publication]António Dourado and Ferreira, E. and Barbeiro, P. , "VISRED II - Introducing Metaheuristics in Multidimensional Scaling. Industrial Conference on Data Mining", in ICDM 2008 International Conference on Data Mining, 2008 [publication]António Dourado , "A Challenge for a New Organization in Systems and Control Curricula", in IFAC XVII Trienal World Congress, 2008 [citation][year=2009]Decision tree and first-principles model-based approach for reactor runaway analysis and forecasting T Varga, F Szeifert, J Abonyi - Engineering Applications of Artificial �?�, 2009 - Elsevier [publication]António Dourado and Barbeiro, P. and Ferreira, E. and Amaral, L.G. and Coelho, A. and Araújo, J. , "Supervisão Industrial por Redução de Espaço: Aplicação ao Visbreaker da Refinaria de Sines", in CLME 2008 Conferência Luso-Moçambicana de Engenharia, 2008 [publication]António Dourado and Victor, J. and Aires, L. , "eTS with Rule Base Simplification and Reduction for Knowledge Extraction from Data Sets", in CLAIO- Congresso Latino Americano de Investigacion de Operationes, 2008 [publication]Bruno Direito and António Dourado and Marco Vieira , "Classification of epileptic EEG data using multidimensional scaling", in ICBBE 2008, The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008 [publication]Costa, R. and Oliveira, P. and Oliveira, P. and Rodrigues, G. and Bruno Direito and António Dourado , "Epileptic Seizure Classification Using Neural Networks With 14 Features", vol. 5178/2008, 2008 [citation][year=2015]Seizure prediction for therapeutic devices: a review K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2015 - Elsevier Abstract Research in seizure prediction has come a long way since its debut almost 4 decades ago. Early studies suffered methodological caveats leading to overoptimistic results and lack of statistical significance. The publication of guidelines addressing mainly the ... [citation][year=2015]Online epileptic seizure prediction using wavelet-based bi-phase correlation of electrical signals tomography Z Vahabi, R Amirfattahi, F Shayegh… - International journal of …, 2015 - World Scientific Considerable efforts have been made in order to predict seizures. Among these methods, the ones that quantify synchronization between brain areas, are the most important methods. However, to date, a practically acceptable result has not been reported. In this paper, we ... [citation][year=2014]EEG seizure detection and prediction algorithms: a survey TN Alotaiby, SA Alshebeili, T Alshawi, I Ahmad… - EURASIP Journal on …, 2014 - Springer Abstract Epilepsy patients experience challenges in daily life due to precautions they have to take in order to cope with this condition. When a seizure occurs, it might cause injuries or endanger the life of the patients or others, especially when they are using heavy ... [citation][year=2014]A Neural Network Model for Predicting Epileptic Seizures based on Fourier-Bessel Functions. S Husain, KS Rao - International Journal of Signal Processing, Image …, 2014 - sersc.org [citation][year=2014]Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels R Harikumar, T Vijayakumar - EURASIP Journal on Advances in Signal …, 2014 - Springer [citation][year=2014]Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels H Rajaguru, V Thangavel - Mathematical Problems in Engineering, 2014 - hindawi.com [citation][year=2012]Classification of EEG signals for epileptic seizure prediction using ANN J Kevric, A Subasi - 2012 - eprints.ibu.edu.ba [citation][year=2012]Nearest neighbor estimate of conditional mutual information in feature selection A Tsimpiris, I Vlachos, D Kugiumtzis - Expert Systems with Applications, 2012 - Elsevier [citation][year=2012]Detection of epileptic seizures: the reservoir computing approach P Buteneers - 2012 - biblio.ugent.be [citation][year=2011]Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing P Buteneers, D Verstraeten, P van Mierlo… - Artificial intelligence in …, 2011 - Elsevier [citation][year=2011]Evaluating bio-inspired approaches for advance prediction of epileptic seizures N Moghim, D Corne - … (NaBIC), 2011 Third World Congress on, 2011 - ieeexplore.ieee.org 2007(3 publications) [publication]António Dourado and Barbeiro, P. and Ferreira, E. and Henriques, J. and Santos, M.A. and Nogueira, D. , "Industrial Process Monitoring by Synthetic View", in European Control Conference, 2007 [publication]António Dourado and Ferreira, E. and Barbeiro, P. , "VISRED - Numerical Data Mining with Linear and Nonlinear Techniques", in Industrial Conference on Data Mining 2007, vol. 4597, 2007 [citation][year=2013]Field models for the prediction of leaf infection and latent period of Fusicladium oleagineum on olive based on rain, temperature and relative humidity C Roubal, S Regis, PC Nicot - Plant Pathology, 2013 - Wiley Online Library [citation][year=2012]Field models for the prediction of leaf infection and latent period of Fusicladium oleagineum on olive based on rain, temperature and relative humidity C Roubal, S Regis, PC Nicot - Plant Pathology, 2012 - Wiley Online Library [citation][year=2008]Simulation study to explain sexual reproduction's prevalence R Lin, F Lin - International Journal of Simulation: Systems, Science …, 2008 - ijssst.info [publication]António Dourado and Barbeiro, P. and Ferreira, E. and Amaral, L.G. and Coelho, A. and Nogueira, D. , "Visbreaker Analysis by Multidimensional Scaling", in 11th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Complex Systems, Theory and Applications, 2007 2006(8 publications) [publication]P. Gil and Henriques, J. and António Dourado and Duarte-Ramos, H. , "On State-Space Neural Networks for Systems Identification: Stability and Complexity", in IEEE CIS-RAM, 2006 [citation][year=2010]1. Modeling and Identification of Linear Parameter-Varying Systems R Toth - 2010 - books.google.com Modeling and Identification of Linear Parameter-Varying Systems Springer ... Lecture Notes in Control and Information Sciences 403 Editors: M. Thoma, F. Allgöwer, M. Morari ... Roland Tóth Modeling and Identification of Linear Parameter-Varying Systems BC [publication]Victor, J. and António Dourado , "Pruning for Interpretability of Large Spanned eTS", in 2nd International Symposium on Evolving Fuzzy Systems, EFS\'06, 2006 [citation][year=2013]Studies in Fuzziness and Soft Computing, Volume 274 J Kacprzyk - Springer [citation][year=2012]Navigating interpretability issues in evolving fuzzy systems E Lughofer - Scalable Uncertainty Management, 2012 - Springer [citation][year=2011]Evolving fuzzy systems-Methodologies, advanced concepts and applications E Lughofer - 2011 - books.google.com [citation][year=2011]On-line elimination of local redundancies in evolving fuzzy systems E Lughofer, JL Bouchot, A Shaker - Evolving Systems, 2011 - Springer [citation][year=2010]1. Evolving fuzzy optimally pruned extreme learning machine for regression problems 2010 FM Pouzols… - Evolving Systems - Springer Abstract This paper proposes an approach to the iden- tification of evolving fuzzy Takagi–Sugeno systems based on the optimally pruned extreme learning machine (OP-ELM) methodology. [citation][year=2009]Sensor virtual adaptable de concentración de etanol para Fermentadores Industriales B Martínez, F Herrera, L Peralta - … de Automática e Informática Industrial RIAI, 2009 - Elsevier [publication]Alberto Cardoso and António Dourado , "A Curriculum for Industrial Informatics in Computer Science and Engineering Degree", in 7th IFAC Symposium on Advances in Control Education - ACE 2006, 2006 [publication]Alberto Cardoso and António Dourado , "Supervision and Robust Fault-Tolerant Control of a Nonlinear Reconfigurable Process", in 12th IEEE International Conference on Methods and Models in Automation and Robotics - MMAR 2006, 2006 [citation][year=2007]Korodi, Adrian, and Toma L. Dragomir. "Mobile fault detection and diagnosis module for automatic systems." In Control & Automation, 2007. MED'07. Mediterranean Conference on, pp. 1-6. IEEE, 2007. [publication]Alberto Cardoso and António Dourado , "Application of a Fault-Tolerant Control strategy to a nonlinear plant using a robust fault diagnosis approach", in 7th Portuguese Conference on Automatic Control - CONTROLO 2006, 2006 [publication]Alberto Cardoso and António Dourado , "Supervision and Fault-Tolerant Control: a Robust Model-based Approach", in IEEE International Conference on Control Applications - Joint CCA/ISIC/CACSD 2006, 2006 [publication]Matheus, J. and António Dourado and Henriques, J. and Santos, M.A. and Nogueira, D. , "POM SPACE REDUCTION AND RECURSIVE CLUSTERING FOR MONITORING OF INDUSTRIAL PROCESSES", in Controlo 2006, 7th Portuguese Conference on Automatic Control, 2006 [publication]Matheus, J. and António Dourado and Henriques, J. and Santos, M.A. and Nogueira, D. , "Iterative Multidimensional Scaling for Industrial Process Monitoring", in 2006 IEEE International Conference on Systems Man and Cybernetics, 2006 [citation][year=2014]Multidimensional scaling visualization of earthquake phenomena AM Lopes, JAT Machado, CMA Pinto, A Galhano - Journal of Seismology, 2014 - Springer [citation][year=2013]Fractional dynamics and MDS visualization of earthquake phenomena AM Lopes, JA Tenreiro Machado, CMA Pinto… - … & Mathematics with …, 2013 - Elsevier [citation][year=2012]Multivariate statistical process monitoring using classical multidimensional scaling MY Mohd Yunus - 2012 - theses.ncl.ac.uk [citation][year=2011]Analysis of financial data series using fractional Fourier transform and multidimensional scaling JT Machado, FB Duarte, GM Duarte - Nonlinear Dynamics, 2011 - Springer [citation][year=2010]Multiple tests for wind turbine fault detection and score fusion using two-level multidimensional scaling (MDS) X Ye, W Gao, Y Yan… - SPIE Defense, …, 2010 - proceedings.spiedigitallibrary.org [citation][year=2010]Multivariate Process Monitoring Using Classical Multidimensional Scaling and Procrustes Analysis M Kothare, M Tade, AV Wouwer - nt.ntnu.no [citation][year=2010]1. Multivariate Process Monitoring Using Classical Multidimensional Scaling and Procrustes Analysis 2010 [PDF] de ntnu.noM Kothare, M Tade, AV Wouwer… - nt.ntnu.no 2005(2 publications) [publication]Victor, J. and António Dourado and Angelov, P. , "On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant", in 16th IFAC World Congress, 2005 [publication]P. Gil and Henriques, J. and António Dourado and Duarte-Ramos, H. , "Order Estimation in Affine State-Space Neural Networks", in 2005 IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, 2005 2004(6 publications) [publication]Victor, J. and António Dourado , "On-Line Interpretability by Fuzzy Rule Base Simplification and Reduction", in European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems, EUNITE2004, 2004 [citation][year=2006]Evolving Computational Intelligence Systems Plamen Angelov Nikola Kasabov Digital Signal Processing Group Knowledge Engineering and Discovery Institute Dept of Communication Systems, InfoLab21 Auckland University of Technology Lancaster University Private Bag 93000 Lancaster, LA1 4WA, United Kingdom Auckland, New Zealand [citation][year=2006]Simpl_eTS: A Simplified Method for Learning Evolving Takagi-Sugeno Fuzzy Models Plamen Angelov, Dimitar Filev, The 2005 IEEE International Conference on Fuzzy Systems,Pages 1068-1073 [citation][year=2005]Evolving Computational Intelligence Systems Plamen Angelov Nikola Kasabov Digital Signal Processing Group Knowledge Engineering and Discovery Institute Dept of Communication Systems, InfoLab21 Auckland University of Technology Lancaster University Private Bag 93000 Lancaster, LA1 4WA, United Kingdom Auckland, New Zealand [citation][year=2005]Simpl_eTS: A Simplified Method for Learning Evolving Takagi-Sugeno Fuzzy Models Plamen Angelov, Dimitar Filev, The 2005 IEEE International Conference on Fuzzy Systems. [citation][year=2004]On-line identification of MIMO evolving Takagi-Sugeno fuzzy models ,Angelov, P., Xydeas, C., Filev, D. , IEEE International Conference on Fuzzy Systems 1, pp. 55-60 , 2004 [publication]Victor, J. and António Dourado , "On-Line Extraction of Fuzzy Rules in a Wastewater Treatment Plant", in IFIP World Computer Congress, WCC'04, 2004 [citation][year=2007]IDENTIFICAÿÿO FUZZY DA PRODUÿÿO DE BIOGÁS EM UM REATOR UASB RM Borges, A Mattedi, CJ Munaro, RF Gonçalves - bvsde.paho.org 23º Congresso Brasileiro de Engenharia Sanitária e Ambiental [citation][year=2007]FUZZY MODELLING APPLIED TO AN UASB REACTOR RM Borges, CJ Munaro, RF Gonçalves - dpi.eq.ufrj.br Page 1. 2 nd Mercosur Congress on Chemical Engineering 4 th Mercosur Congress on Process Systems Engineering [publication]P. Gil and Henriques, J. and António Dourado and Duarte-Ramos, H. , "Stability Analysis for a Class of Affine State-Space Neural Networks", in 12th Mediterranean Conference on Control and Automation, 2004 [publication]Alberto Cardoso and P. Gil and Henriques, J. and P. Carvalho and Duarte-Ramos, H. and António Dourado , "Experiments with a Fault Tolerant Adaptive Controller on a Solar Power Plant", in 6th Portuguese Conference on Automatic Control - CONTROLO 2004, 2004 [citation][year=2013]Flor Unda, Omar Cristóbal. "Control predictivo basado en modelo de un campo de colectores solares tipo acurex." (2013). [citation][year=2012]Do, Khoa Dang. "Reconfigurable control in electric utility power plants." (2012). [citation][year=2012]Camacho, Eduardo F., Manuel Berenguel, Francisco R. Rubio, and Diego Martínez. "Advanced Control of Parabolic Troughs." In Control of Solar Energy Systems, pp. 129-238. Springer London, 2012. [citation][year=2009]Rubio, Francisco R., Eduardo F. Camacho, and Manuel Berenguel. "Control de campos de colectores solares." RIAII 3, no. 4 (2009): 26-45. [citation][year=2007]E.F. Camacho, F.R. Rubio, M. Berenguel and L. Valenzuela, “A survey on control schemes for distributed solar collector fields. Part II: Advanced control approaches”, Solar Energy, 2007, 81, pp. 1252-1272, 2007. [citation][year=2006]Rubio, F., E. Camacho, M. Berenguel, "Control de Campos de Colectores Solares", Revista Iberoamericana de Automática e Informática Industrial, Vol. 3, Nº 4, pp. 26-45, 2006. [publication]Angelov, P. and Victor, J. and António Dourado and Filev, D. , "On-line Evolution of Takagi-Sugeno Fuzzy Models", in The 2nd IFAC Workshop on Advanced Fuzzy/Neural Control, AFNC'04, 2004 [citation][year=2015]Application of Evolving Fuzzy Systems to Construct Real Estate Prediction Models M Grze?lowski, Z Telec, B Trawi?ski, T Lasota… - Computational …, 2015 - Springer Abstract Four variants of the eTS algorithms (evolving Takagi-Sugeno fuzzy systems) were implemented and examined in respect of their usefulness for the intelligent system of real estate market. The eTS algorithms were compared as regards their predictive accuracy ... [citation][year=2015][CITAÇÃO] PCBA DEMAND FORECASTING USING AN EVOLVING FUZZY TAKAGI-SUGENO SYSTEM U Kaymak - 2015 [citation][year=2014]A fast learning algorithm for evolving neo-fuzzy neuron AM Silva, W Caminhas, A Lemos, F Gomide - Applied Soft Computing, 2014 - Elsevier [citation][year=2013]A fast learning algorithm for evolving neo-fuzzy neuron A Silva, W Caminhas, A Lemos, F Gomide - Applied Soft Computing, 2013 - Elsevier [citation][year=2012]Sequential adaptive fuzzy inference system for function approximation problems HJ Rong - Learning in Non-Stationary Environments, 2012 - Springer [citation][year=2011]Modified OnLine Sequential Fuzzy Extreme Learning Machine, MSc Thesis, AC Bhatnagar - 61.16.156.122 [citation][year=2010]A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning Texto Integral@b-onJ Tan… - Neural Networks, IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2010]An Industrial Strength Novelty Detection Framework for Autonomous Equipment Monitoring and Diagnostics 2010 DP Filev, RB Chinnam, F Tseng… - Industrial Informatics, IEEE … - ieeexplore.ieee.org [citation][year=2010]EVOLVING TAKAGI-SUGENO FUZZY SYSTEMS FROM STREAMING DATA (eTSþ) P Angelov - Evolving Intelligent Systems: Methodology and …, 2010 - Wiley Online Library [citation][year=2010]A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning J Tan, C Quek - Neural Networks, IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2010]A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning J Tan, C Quek - Neural Networks, IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2010]An industrial strength novelty detection framework for autonomous equipment monitoring and diagnostics DP Filev, RB Chinnam, F Tseng… - … , IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2009]Online sequential fuzzy extreme learning machine for function approximation and classification problems HJ Rong, GB Huang, N Sundararajan… - Systems, Man, and …, 2009 - ieeexplore.ieee.org [citation][year=2006]Rong, H.-J., Sundararajan, N., Huang, G.-B., Saratchandran, P. Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction (2006) Fuzzy Sets and Systems, 157 (9), Pages 1260-1275. [publication]Matheus, J. and António Dourado and Henriques, J. , "PROJECTED ORIENTATION MAPS BY SPACE REDUCTION FOR INTELLIGENT MONITORING OF INDUSTRIAL PROCESSES", in IFAC-IEEE MCPL Management and Control of Production and Logistics, 2004 2003(6 publications) [publication]P. Gil and Henriques, J. and P. Carvalho and António Dourado and Duarte-Ramos, H. , "Adaptive Model-Based Predictive Control With Steady State Offset Compensation for a Distributed Solar Collector Field.", in IEEE-ICNNSP 2003, 2003 [publication]Pereira, C. and António Dourado , "Reducing the Training Complexity of Support Vector Machines for Intelligent Control", in IFAC ICONS 2003, 2003 [publication]António Dourado , "Theory of Biological Systems (An Introduction)", in Summer Course on Soft Computing for Medical Applications, 2003 [citation][year=2014]Suicide in the Intermountain West: A Syndemic in Park County, Wyoming? CG Caulkins - 2014 - gradworks.umi.com Abstract: The Intermountain West has an overall suicide rate markedly higher than the national average. An ethnographic study was initiated in one county in the Intermountain West. This paper explores the cultural factors contributing to the high suicide rates in Park ... http://gradworks.umi.com/1528221.pdf. [citation][year=2010][PDF] Aircraft landing control using fuzzy logic and neural networks E Lakovic, D Lotinac - IRCSE, Mälardalen University, Sweden, 2010 - 92.255.195.235 ABSTRACT Fuzzy logic is well known and widely used today in control systems. Neural networks are also used in a wide variety of systems. Combination of these two different approaches should have many beneficial properties for solving many different problems, ... [publication]P. Gil and Alberto Cardoso and António Dourado and Henriques, J. and Duarte-Ramos, H. , "Experiments with an Adaptive Model-Based Predictive Controller Applied to a Distributed Solar Collector Field: Performance and Fault Tolerance Assessment", 2003 [citation][year=2012]Camacho, Eduardo F., Manuel Berenguel, Francisco R. Rubio, and Diego Martínez. "Advanced Control of Parabolic Troughs." In Control of Solar Energy Systems, pp. 129-238. Springer London, 2012. [citation][year=2009]Rubio, Francisco R., Eduardo F. Camacho, and Manuel Berenguel. "Control de campos de colectores solares." RIAII 3, no. 4 (2009): 26-45. [citation][year=2007]Camacho, E. F., F. R. Rubio, M. Berenguel, and L. Valenzuela. "A survey on control schemes for distributed solar collector fields. Part II: Advanced control approaches." Solar Energy 81, no. 10 (2007): 1252-1272. [citation][year=2006]Control de Campos de Colectores Solares Rubio, F.*, E. Camacho*, M. Berenguel** *Dept. Ingeniería de Sistemas y Automática. Escuela Técnica Superior de Ingenieros, Universidad de Sevilla ** Dept. de Lenguajes y Computación, Área de Ingeniería de Sistemas y Automática, Universidad de Almería. This paper appears in: Revista Iberoamericana de Automática e Informática Industrial Publication Date: Oct. 2006 Volume: 3, Issue: 4 On page(s): 26-45 ISSN: 1679-7912 [publication]Pereira, C. and António Dourado , "On the Complexity and Interpretability of Support Vector Machines for Process Modeling", in IEEE-IJCNN, 2003 [publication]Alberto Cardoso and P. Gil and Henriques, J. and P. Carvalho and Duarte-Ramos, H. and António Dourado , "A Robust Fault Tolerant Control Framework: Application to a Solar Power Plant", in IASTED International Conference Intelligent Systems and Control, 2003 [citation][year=2013]Flor Unda, Omar Cristóbal. "Control predictivo basado en modelo de un campo de colectores solares tipo acurex." (2013). [citation][year=2012]Reconfigurable control in electric utility power plants KK Do - 2012 - repositories.lib.utexas.edu [citation][year=2012]Do, Khoa Dang. "Reconfigurable control in electric utility power plants." (2012). [citation][year=2012]Camacho, Eduardo F., Manuel Berenguel, Francisco R. Rubio, and Diego Martínez. "Advanced Control of Parabolic Troughs." In Control of Solar Energy Systems, pp. 129-238. Springer London, 2012. [citation][year=2009]Zeini J, M. J., M. Eghtesad, and M. Yaghoubi. "Fuzzy Switching Control Of The Complete Oil Cycle Of Shiraz Solar Power Plant." Intelligent Automation & Soft Computing 15, no. 3 (2009): 403-424. [citation][year=2009]Rubio, Francisco R., Eduardo F. Camacho, and Manuel Berenguel. "Control de campos de colectores solares." RIAII 3, no. 4 (2009): 26-45. [citation][year=2007]E.F. Camacho, F.R. Rubio, M. Berenguel and L. Valenzuela, “A survey on control schemes for distributed solar collector fields. Part II: Advanced control approaches”, Solar Energy, 2007, 81, pp. 1252-1272, 2007. [citation][year=2006]Control de Campos de Colectores Solares Rubio, F.*, E. Camacho*, M. Berenguel** *Dept. Ingeniería de Sistemas y Automática. Escuela Técnica Superior de Ingenieros, Universidad de Sevilla ** Dept. de Lenguajes y Computación, Área de Ingeniería de Sistemas y Automática, Universidad de Almería. This paper appears in: Revista Iberoamericana de Automática e Informática Industrial Publication Date: Oct. 2006 Volume: 3, Issue: 4 On page(s): 26-45 ISSN: 1679-7912 2002(18 publications) [publication]P. Carvalho and Santos, A. and Ribeiro, B. and António Dourado , "Bayes Information Criterion for Tikhonov Problems with Linear Constraints: Application to Radiometric Image Correction", in Int. Conf. on Image and Signal Processing, 2002 [citation][year=2015]Image reconstruction of two-dimensional highly scattering inhomogeneous medium using MAP-based estimation H Qi, Y Qiao, S Sun, Y Yao, L Ruan - Mathematical Problems in …, 2015 - hindawi.com A maximum a posteriori (MAP) estimation based on Bayesian framework is applied to image reconstruction of two-dimensional highly scattering inhomogeneous medium. The finite difference method (FDM) and conjugate gradient (CG) algorithm serve as the forward and ... [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=2009]Rubio, Francisco R., Eduardo F. Camacho, and Manuel Berenguel. "Control de campos de colectores solares." RIAII 3, no. 4 (2009): 26-45. [citation][year=2007]E.F. Camacho, F.R. Rubio, M. Berenguel and L. Valenzuela, “A survey on control schemes for distributed solar collector fields. Part II: Advanced control approaches”, Solar Energy, 2007, 81, pp. 1252-1272, 2007. [citation][year=2006]Control de Campos de Colectores Solares Rubio, F.*, E. Camacho*, M. Berenguel** *Dept. Ingeniería de Sistemas y Automática. Escuela Técnica Superior de Ingenieros, Universidad de Sevilla ** Dept. de Lenguajes y Computación, Área de Ingeniería de Sistemas y Automática, Universidad de Almería. This paper appears in: Revista Iberoamericana de Automática e Informática Industrial Publication Date: Oct. 2006 Volume: 3, Issue: 4 On page(s): 26-45 ISSN: 1679-7912 [publication]Victor, J. and Pereira, C. and António Dourado , "Neuro-Fuzzy Modelling of the Effluent Neutralisation Process in a Paper Mill", in Controlo'02, 2002 [publication]António Dourado and Henriques, J. and P. Carvalho , "Application of Neural, Fuzzy and Neuro-Fuzzy Techniques for Data Mining and Intelligent Control", in EUNITE Workshop on Intelligent Systems in Medical Diagnosis and Therapy, 2002 [publication]António Dourado and Henriques, J. and P. Carvalho , "Neural and Neuro-Fuzzy Systems in Data Mining and Knowledge Processing", in EUNITE Workshop on Intelligent Systems in Medical Disgnosis and Therapy, 2002 [publication]Henriques, J. and P. 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This review article aims to explain the complexity of available solutions, their strengths and weaknesses, and the ... Computational Intelligence Techniques and Applications [citation][year=2014]X Zhu - Computational Intelligence Techniques in Earth and …, 2014 - Springer Abstract Computational intelligence is a group of computational models and tools that encompass elements of learning, adaptation, and/or heuristic optimization. It is used to help study problems that are difficult to solve using conventional computational algorithms. ... [citation][year=2013]R Weron, M Zator - prac.im.pwr.wroc.pl Abstract A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the last 15 years, with varying degrees of success. This review article aims at explaining the complexity of available solutions, their strengths and weaknesses, and the ... 2003(1 publication) [publication]Quaresma, P. and António Dourado and Costa, E. and JFCosta, . , "Soft Computing and Complex Systems", vol. 1, 2003 Book Chapters 2014(2 publications) [publication]Teixeira, C. and Favaro, G. and Bruno Direito and Bandarabadi, M. and Feldwirsch-Drentrup, H. and Ihle, M. and Alvarado-Rojas, C. and LeVanQuyen, M. and Schelter, B. and Bonhage, A.S. and Sales, F. and Navarro, V. and António Dourado , "Brainatic: A System for Real-Time Epileptic Seizure Prediction", in Brain-Computer Interface Research: A State-of-the-Art Summary -2, vol. 6, pp. 7-18, 2014 [citation][year=2015]TML] Dynamical disease: Challenges for nonlinear dynamics and medicine L Glass - Chaos: An Interdisciplinary Journal of Nonlinear …, 2015 - scitation.aip.org Dynamical disease refers to illnesses that are associated with striking changes in the dynamics of some bodily function. 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[publication]António Dourado , "Fuzzy Control as the Entrance Door to Control Theory", in Recent Developments and New Directions in Soft Computing, Studies in Fuzzyness and Soft Computing 317, vol. 317, pp. 249-261, 2014 2013(3 publications) [publication]Pereira, C. and António Dourado and Correia, D. and Verissimo, P. , "A Platform for Peptidase Detection based on Text Mining Techniques", in Computational Intelligence and Decision Making - Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries, , vol. 61, pp. 449-459, 2013 [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "Efficient Discriminative Models for Proteomics with Simple and Optimized Features ", in Computational Intelligence and Decision Making - Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries, vol. 61, pp. 89-98, 2013 [publication]Oliveira, J. and Correia, D. and Pereira, C. and Verissimo, P. and António Dourado , "A Tool for Biomedical Documents Classification using Support Vector Machines", in Computational Intelligence and Decision Making, - Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering, Bookseries, vol. 61, pp. 407-416, 2013 2011(2 publications) [publication]Bruno Direito and Teixeira, C. and LeVanQuyen, M. and António Dourado , "EPILAB: A MATLAB platform for multi-feature and multi-algorithm seizure prediction", in Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics., vol. -, 2011 [publication]Morgado, L.M. and Pereira, C. and Verissimo, P. and António Dourado , "A Support Vector Machine based Framework for Protein Membership Prediction", in Computational Intelligence for Engineering Systems, vol. 46, pp. 90-103, 2011 [citation][year=2016]LIVRO] Machine Learning for Adaptive Many-Core Machines-A Practical Approach N Lopes, B Ribeiro - 2015 - Springer Today the increasing complexity, performance requirements and cost of current (and future) applications in society is transversal to a wide range of activities, from science to business and industry. In particular, this is a fundamental issue in the Machine Learning (ML) area, ... [citation][year=2016]Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words D Santoni, G Felici, D Vergni - Journal of theoretical biology, 2016 - Elsevier Abstract Casual mutations and natural selection have driven the evolution of protein amino acid sequences that we observe at present in nature. The question about which is the dominant force of proteins evolution is still lacking of an unambiguous answer. Casual ... 2010(3 publications) [publication]Victor, J. and Pereira, C. and António Dourado , "Building Interpretable Systems in Real Time", in Evolving Intelligent Systems: Methodology and Applications, pp. 127-150, 2010 [citation][year=2015]GSETSK: a generic self-evolving TSK fuzzy neural network with a novel Hebbian-based rule reduction approach NN Nguyen, WJ Zhou, C Quek - Applied Soft Computing, 2015 - Elsevier Abstract Takagi–Sugeno–Kang (TSK) fuzzy systems have been widely applied for solving function approximation and regression-centric problems. Existing dynamic TSK models proposed in the literature can be broadly classified into two classes. Class I TSK models ... [citation][year=2013]On-line assurance of interpretability criteria in evolving fuzzy systems–achievements, new concepts and open issues E Lughofer - Information Sciences, 2013 - Elsevier Abstract In this position paper, we are discussing achievements and open issues in the interpretability of evolving fuzzy systems (EFS). In addition to pure on-line complexity reduction approaches, which can be an important direction for increasing the ... [citation][year=2012]Introducing evolving Takagi–Sugeno method based on local least squares support vector machine models M Komijani, C Lucas, BN Araabi, A Kalhor - Evolving Systems, 2012 - Springer Abstract In this study, an efficient local online identification method based on the evolving Takagi–Sugeno least square support vector machine (eTS-LS-SVM) for nonlinear time series prediction is introduced. As an innovation, this paper has applied the nonlinear ... [citation][year=2011]LIVRO] Evolving fuzzy systems-methodologies, advanced concepts and applications E Lughofer - 2011 - Springer In today's industrial systems, economic markets, life and health-care sciences fuzzy systems play an important role in many application scenarios such as system identification, fault detection and diagnosis, quality control, instrumentation and control, decision support .. [citation][year=2011]Human-inspired evolving machines—the next generation of evolving intelligent systems E Lughofer - IEEE SMC newsletter, 2011 - my-smc.org Abstract: In today's real-world applications, there is an increasing need to integrate new information and knowledge into model-building processes to account for changing system dynamics, new operating conditions or environmental influences. This is essential to ... [publication]Henriques, J. and P. Gil and Alberto Cardoso and P. Carvalho and Duarte-Ramos, H. and António Dourado , "Power Plant Applications of Advanced Control Techniques", in Power Plant Applications of Advanced Control Techniques, 2010 [publication]Henriques, J. and P. Gil and P. Carvalho and Alberto Cardoso and Duarte-Ramos, H. and António Dourado , "Nonlinear Control Based on Affine Neural Networks: Application to a Solar Power Plant", in Power Plant Applications of Advanced Control Techniques, vol. 1, pp. 295-320, 2010 2008(2 publications) [publication]António Dourado , "Sistemas em Medicina Nuclear (Uma Introdução à Teoria dos Sistemas Biológicos)", in Física em Medicina Nuclear, Temas e Aplicações, pp. 381-430, 2008 [publication]António Dourado and Henriques, J. and P. Carvalho , "Neural, Fuzzy, and Neurofuzzy Systems for Medical Applications", in Intelligent and Adaptive Systems in Medicine, pp. 127-172, 2008 2002(1 publication) [publication]P. 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