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Invited TalksWhat Authors Should Know to Successfully Publish Papers in Good JournalsDistinguished Lecture for IEEE SMC, IEEE Chilecon 2017, October 18, 2017, Pucon, Chile. New initiatives in technologies of the future, large databases, reproducible research and publicationsPlenary Lecture, Konferencja Bazy Danych dla Nauki: INFOBAZY 2017, September 11-13, 2017, Gdansk, Poland. Towards Better Understanding of Data: Sparse Coding, Additive Features, Perceptrons and Constrained AutoencodersKeynote Address, 2018 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2017), July 3-5, 2017, Gdynia, Poland. Deep Neural Networks Learning through Receptive Field OptimizationDistinguished Lecture for IEEE SMC, January 16, 2017, Malaysia Chapter, Kuala Lumpur. Deep Neural Network Learning through Receptive Fields Optimization for Data RepresentationDistinguished IEEE SMC Lecture, Gdynia, Poland, November 1, 2016. Towards Better Understanding of Data: Learning Additive Features by NMFs, Perceptrons and AutoencodersInternational Symposium on New Trends in Computational Intelligence, Qingdao, China, May 28, 2016. Towards Better Understanding of Data: Learning Additive Features by NMFs, Perceptrons and AutoencodersNanyang Technological University, Special Lecture for the School of Computer Science April 28, 2016. Discriminative Learning Under Constraints: Receptive Fields, Features and Convolutional AEs for 2D and 3D ImagesIEEE CIS Winter School, Emerging Research Trends in Computational Intelligence - Theory and Applications, Ahmedabad, India, March 1-5, 2016. Computational Intelligence Methods and their Applications for Data AnalysisIEEE CIS Winter School, Emerging Research Trends in Computational Intelligence - Theory and Applications, Ahmedabad, India, March 1-5, 2016. Learning Receptive Fields under ConstraintsElectrical and Computer Engineering Department Seminar, University of Louisville, December 2, 2015 Towards Better Understanding of Data: Constrained Learning of Latent Features in Neural NetworksBudapest, Hungary, Distinguished IEEE CIS Lecture, September 1, 2015 Towards Better Understanding of Data: Learning Latent Features under ConstraintsDepartment of Computer Science, University Wroclaw, Poland, May 7, 2015 Towards Better Understanding of Data: Learning Latent Features under Constraints in Shallow NetworksInvited Keynote Lecture, 21st International Conference on Neural Information Processing (ICONIP 2014), Kuching, Malaysia, November 4, 2014 23 Computing Technologies That Will Shape the World in 2022: Towards a Seamless IntelligenceZurada, J. M., Milojicic, D., IEEE Big Data Initiative Workshop IEEE, Hoboken Institute of Technology, Hoboken, NJ, October 1, 2014 Neural Networks and Machine Learning Approaches as Tools for Pattern RecognitionComputational Intelligence and Machine Learning Seminar, Tech Edge Center, Dayton, Ohio, November 6, 2013 Authors' profile and collaborative networks of authors and researchersIEEE Workshop for Leading Researchers, Tokyo, Japan. November 1, 2013 Non-negative Matrix Factorization and Its Application to Pattern Analysis and Text MiningKeynote Lecture at the Federated Conference on Computer Science, Krakow, Poland, 8 - 11 September, 2013 Non-negative Matrix Factorization with Correntropy Similarity Measure and Its Application to Pattern Analysis and Text MiningMichael Fam Professor Lecture, Nanyang Technological University, Singapore, May 28, 2013 Global Technical Activities in IEEE: Challenges and StrategiesInvited Lecture at Nanyang Technological University, Singapore, May 10, 2013 Computational Intelligence Methods for Factory Automation and Industrial ApplicationsKeynote Address, 17th IEEE Conference on Emerging Technologies in Factory Automation, Krakow, Poland, September 17-21, 2012 Publishing in Computer and Electrical Engineering: Old Issues and New ChallengesComputer Science and Engineering Department and IEEE Computer Society-Louisville Chapter, University of Louisville, September 7, 2012 Non-negative Matrix Factorization and its Application to Text Mining and Pattern AnalysisDalian University of Technology Lecture, Dalian, China, June 21, 2012 Nonnegative Matrix Factorization and Its Application to Understandable Pattern Analysis and Text MiningChina University of Petroleum, Qingdao, China, June 18, 2012 Nonnegative Matrix Factorization and Its Application to Understandable Pattern Analysis and Text MiningDepartment of Electrical Engineering, University of Catania, Sicily, Italy, Fulbright Lecture, May 28, 2012 Non-negative Matrix Factorization for Pattern AnalysisSeminari Scientifici Circuiti e Algoritmi per il Trattamento dei Signali, Reggio di Calabria, Italy, May 21, 2012 Non-negative factorizations of sample matrices for interpretable pattern classifiersInvited Plenary Lecture at 22nd Italian Workshop on Neural Networks, May 17-19, 2012, Vietri sul Mare, Salerno, Italy IEEE Periodicals Today and TomorrowInvited Plenary Lecture at the International Conference on ArtificialIntelligence and Soft Computing (ICAISC 2012), Zakopane, Poland, April 30-May 4, 2012 Bioinformatics Research with Support Vector Machines and Decision TreesInvited Plenary Lecture at International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2011), Istanbul, Turkey, June 15-18, 2011 Mixing Computational and Artificial Intelligence: Discovery of Prediction Rules in Protein Secondary StructuresIEEE CIS Distinguished Lecture for Turkish IEEE CIS Chapter, Istanbul, June 15, 2011 Publishing in Computer and Electrical Engineering: Authors, Readers and Editors PerspectivesOpen Lecture for ECE/CECS faculty and PhD students, University of Louisville, June 2, 2011 Engineering Publications and the InternetInvited Lecture for 70-th Anniversary of Association of Polish-American Engineers, New York, New York, May 13-15, 2011 Towards Better Understanding of Protein Secondary Structure: Extracting Prediction RulesInvited Plenary Lecture at the 3rd International Conference on Machine Learning and Computing, Singapore, February 26-28, 2011 How to Publish Papers in IEEE Computational Intelligence Society JournalsPlenary Discussion at IEEE World Congress on Computational Intelligence (WCCI 2010), July 18-23, 2010, Barcelona, Spain Building Virtual Organizations and Computational Intelligence - Machine Learning NetworksInvited Plenary Lecture at Summer School on Computational Intelligence in Healthcare, Technical University of Eindhoven, The Netherlands, September 20-24, 2010 Towards better Understanding of Protein Secondary Structure: Extracting Prediction RulesInvited Plenary Lecture at Summer School of Computational Intelligence in Healthcare, Technical University of Eindhoven, The Netherlands, September 20-24, 2010 Virtual Organizations and Computational Intelligence - Machine Learning Networks for Interdisciplinary and Data-Driven ResearchInvited Plenary at the 3rd International Congress on Image and Signal Processing (CISP 2010) and the 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Yantai, China, October 16-18, 2010 Virtual Organizations in Engineering and Computational Intelligence Virtual CommunityInvited Plenary and IEEE CIS Distinguished Lecture, VI Latin-American Summer School on Computational Intelligence (EVIC 2009), Universidad de Chile, Santiago, Chile, December 16-18, 2009 Computational Intelligence and Machine Learning Virtual Infrastructure NetworkInvited Plenary Lecture at 2nd Intl Workshop on Advanced Computational Intelligence, CINVESTAV-IPN, Mexico City, October 8-9, 2009 Towards better Understanding of Protein Secondary Structure: Extracting Prediction RulesLecture at the Nanyang Technological University organized jointly by the Centre for Computational Intelligence and IEEE Singapore Computational Intelligence Chapter, School of Computer Engineering, May 21, 2009 Publishing in Engineering and Sciences: Authors, Readers and Editors PerspectivesIEEE CIS Distinguished Lecture, Montreal Chapter, Canada, November 21, 2008 Learning in Networks: Complex-valued Neurons, Pruning and Rule ExtractionIEEE CIS Distinguished Lecture, Montreal Chapter, Canada, November 21, 2008 Networks with Complex-valued Neurons and their Applications in Image Analysis and Bioinformatics5th International Symposium on Automatic Control, Wismar, Germany, September 18, 2008 (with Dr. I. Aizenberg) Building Cyberinfrastructures in Engineering: Virtual Organizations, and Computational Intelligence - Machine Learning NetworkLecture at Nanyang Technological University, School of Computer Engineering, June 19, 2008 Neural Networks with Complex-valued Neurons for Recurrent and Feedforward ArchitecturesPlenary Lecture, ICMLA 2007, Cincinnati, Ohio, December 13-15, 2007 Data mining, neural networks and rule extractionIEEE CIS Distinguished Lecture, Ottawa Chapter, November 9, 2007 Associative Memories and Feedforward Neural Networks with Complex-valued Neurons4th Forum-Conference on Computer Science for Ph.D. Students and Postdoctoral Researchers, Smardzewice, Poland, June 11-14, 2007 Neural Networks for Data Mining and Rule ExtractionIEEE Computational Intelligence Society Chapter Lecture, Paris, France, May 24, 2007 Fully Coupled and Feedforward Neural Networks with Complex-valued NeuronsLecture at Department of Databases and Machine Learning, Universite de Pierre et Marie Curie, Paris, France, May 10, 2007 Associative Memories and Feedforward Neural Networks with Complex-valued NeuronsLecture at the Nanyang Technological University, School of Computer Engineering, March 30, 2007 Publishing in engineering and sciences: authors, readers and editors perspectivesNanyang Professors Lecture, Nanyang Technological University, March 19, 2007 Learning in Neural Networks: Looking for Better Training Methods and New Neuron ModelsLecture at the University of Chile, January 29, 2007 Supervised and Unsupervised Learning: Looking for Better Training Methods and Meaningful ModelsInvited Plenary talk at 14th National Conference on Fuzzy Theory and Applications, Tainan, Taiwan, December 14, 2006. Publishing Successful Papers in CSE and CIS: Editorial PerspectiveDistinguished Lecture for CIS Tainan Chapter, Taiwan, December 13, 2006. Neural Networks for Selected Data Mining TasksInternational Seminar of Computational Intelligence Society - Mexico Chapter, Tijuana, Mexico, October 11, 2006. Neural Networks, Data Mining and Rule ExtractionIEEE Computational Society Distinguished Lecture for the Belgrade CIS Section and Neurel'06, Belgrade, Serbia, September 25, 2006. Challenges and Opportunities in Neural Networks ResearchPlenary Panel Discussion Moderator, Third International Symposium on Neural Networks, Chengdu, China, May 28-31, 2006. Artificial Neural Networks: Next FrontiersPlenary Lecture at IEEE CIS Lecture Series, Xi'an Jiao-tong University, Xi'an, China, May 14, 2006. Artificial Neural Networks: Fundamentals and ChallengesPlenary Lecture at IEEE CIS Lecture Series, University of Technology, Guangzhou, China, May 12, 2006. Artificial Neural Networks: Fundamentals and Selected Open ProblemsPlenary Lecture at IEEE CIS Lecture Series, Shanghai Jiao-tong University, Shanghai, China, May 10, 2006. The IEEE Computational Intelligence Society, President's LectureSecond Latin-American Summer School on Computational Intelligence (EVIC 2005), Universidad de Chile, Santiago, Chile, December 15, 2005. Rule Extraction and Data MiningLecture for IEEE Computational Intelligence Society Mexico Chapter Meeting, Mexico City, October 17, 2005. Data Mining, Neural Networks and Rule ExtractionInvited Plenary Lecture, Wismarer Automatisierungs Symposium, Techniche Hochschule Wismar, Germany, September 22, 2005. Neural Networks Learning for Data and Image MiningLecture for Hunan University, School of Electrical and Computer Engineering, Changsha, China, August 30, 2005. Open Problems and Challenges in Natural Computation and Knowledge DiscoveryPanel Discussion Moderator, First International Conference on Natural Computation and The Second International Conference on Fuzzy Systems and Knowledge Discovery, Changsha, China, August 28, 2005. Artificial Neural Networks: Fundamentals and Selected Open ProblemsSeminar for Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore, August 11, 2005. Publishing in Electrical and Computer Engineering: Background and Case StudiesInvited Lecture for Pattern Recognition and Machine Intelligence Association, Singapore, August 8, 2005. Neural Networks for Selected Data Mining Tasks2005 Ryerson Distinguished Lecture Series on Neural Networks and Computational Intelligence for Signal Processing and Bioinformatics, Toronto, Canada, May 13, 2005. Artificial Neural Networks: Fundamentals and Selected Open Problems1st Polish and International PD Forum AND Conference on Computer Science, Bronislawow, Poland, April 12, 2005. (Invited Plenary Lecture) Data Mining, Neural Networks and Rule ExtractionPublic Lecture at the Honorary Professorship Award Ceremony at Hebei University, Baoding, China, August 29, 2004. How to Succeed in Publishing in Electronic and Computer EngineeringInvited Lecture at 2004 International Conference on Machine Learning and Cybernetics, Shanghai, China, August 26-19, 2004. Neural Networks for Semiconductor Fabrication Design Centering and Yield MaximizationSchool of Electronic and Electrical Engineering, Public Lecture at Nanyang Technological University, Singapore, August 11, 2004. Blind Signal Separation and Extraction: Recent Trend, Future Perspectives, and Applications7th International Conference on Artificial Intelligence and Soft Computing (ICAISC'04), Zakopane, Poland, June 7-11, 2004. (Invited Plenary Lecture, with Dr. A. Cichocki) How to Succeed in Publishing in Electronic and Electrical EngineeringSchool of Electronic and Electrical Engineering, Public Lecture at Nanyang Technological University, Singapore, May 7, 2004. How to Succeed in Publishing in Computer Science and EngineeringDepartment of Computer Science, Seminar at the Hong Kong University of Science and Technology, January 27, 2004. Data Mining, Neural Networks and Rule ExtractionIEEE NNS Distinguished Lecture in Region 9, University of Sao Paolo-Escola Polytechnica, Brazil, March 8-10, 2004. Successful Publishing in Computer Science and EngineeringSeminar for the National Central University, Chung-Li, Taiwan, September 25, 2003. Neural Networks and Rule ExtractionSeminar for the Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, September 24, 2003. Neural Networks for Intelligent Modeling of Systems and Data MiningKeynote Address at the International Conference on Neural Networks and Computational Intelligence (NCI 2003), Cancun, Mexico, May 19-21, 2003. Data Mining, Neural Networks and Rule ExtractionKeynote Address at the International Conference on Intelligent Control Systems and Signal Processing (ICONS 2003), Faro, Portugal, April 8-11, 2003. From Data Mining and Neural Networks Modeling Towards Rule ExtractionKeynote Address at the International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA 2003), Vienna, Austria, February 12-14, 2003. Design Centering and Yield Improvement for IC Manufacturing Using Neural NetworksInvited Lecture at CIMPA-UNESCO-INDIA School of Soft Computing for Image Processing and Pattern Recognition, Calcutta, India, December 2-13, 2002. Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications?Panel Moderator at the 9th International Conference on Neural Information Processing (ICONIP'02) -4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02) - 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'02), Singapore, November 18-22, 2002. From Data Mining and Neural Networks Modeling Towards Rule ExtractionKeynote Address at the First IEEE International Machine Learning and Cybernetics Conference, Beijing, China, November 4-5, 2002. Neural Networks: From System Modeling to Logic RulesKeynote Address at the Parallel and Distributed Systems Conference, Louisville, Kentucky, September 19, 2002. A Hybrid Connectionist System for Multiple RegressionInvited Plenary Presentation at the 6th International Conference on Neural Networks and Soft Computing, Zakopane, Poland, June 11-15, 2002. (with R. Setiono) Neural Networks, NNS and TNNOpening Statement for the 6th International Conference on Neural Networks and Soft Computing, Zakopane, Poland, June 11-15, 2002. Beyond Two-state Dynamics: Generalized Attractor Neural NetworksInvited Plenary Lecture at the 6th PRIS (Program of Research into Intelligent Systems) Conference, National University of Singapore, Singapore, June 27, 2001. Neural Networks as Tools for Intelligent Data AnalysisPlenary Lecture, Advanced Study Institute Symposium on Neural and Evolutionary Computations in Spatial Data Analysis, Chinese University of Hong Kong, Hong Kong, June 12-17, 2000. Optimisation de l'architecture neuronale du perceptron pour l'extraction de regles de decisionSeminar on Interpretation et Classification des Observations pour l'Elaboration de Regles de Decision Suivant une Approche Connectioniste, L'Ecole d'Ingenieurs des Hautes Etudes Industrielles, Lille, France, December 13, 1999. Seminar on Soft Computing, Knowledge Discovery, and Text MiningProgram on Research into Intelligent Systems, National University of Singapore, December 10, 1999. Plenary Keynote Lecture: The Future of Neural Networks and Neuro-Fuzzy Systems2nd Wismarer Automatisierrungssymposium, Wismar, Germany, September 16-17, 1999 From Chaos to Organization: Neurodynamics of 2D Active MediumPanel Discussion: 21st Century of the Brain, 5th International Conference on Neural Information Processing (ICONIP'98), Kitakyushu, Japan, October 21-23, 1998. Neural Networks Learning for Data MiningInvited Plenary Talk, 6th International Conference on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, October 16-20, 1998 Neural Networks: Past, Present and FutureSpecial Lecture for the Department of Electronics and Communications, Technical University of Poznan, Poznan, Poland, June 12, 1998. Engineering Education in the United StatesSeminar for the Department of Electronics, Communications and Computer Science, Technical University of Gdansk, Gdansk, Poland, May 7, 1997. Neural Networks: Past, Present and FutureSeminar for the Department of Electronics, Communications and Computer Science, Technical University of Gdansk, Gdansk, Poland, May 6, 1997. Perceptron Networks with Reduced Architectures for Rule Extraction, Systems Engineering SeminarECECS Department, University of Cincinnati, February 27, 1997. Architecture Reduction Techniques for Neural NetworksSeminar for the Electrical and Electronic Engineering Department, Hong Kong Polytechnic University, January 13, 1997. Architecture Reduction Techniques for Neural NetworksSeminar for the Brain Information Processing Research Program, Institute for Physical and Chemical Research, RIKEN, Tokyo, Japan, January 10, 1997. Pruning of Feedforward Neural Networks and their InputsSeminar for the Department of Computer and Systems Science, Osaka Prefecture University, Osaka, Japan, October 7, 1996. Pruning of Feedforward Neural Networks and their InputsResearch Seminar, Department of Computer and Communication Engineering, Edith Cowan University, Perth, Australia, June 24, 1996. Neural Networks: Past, Present and TrendsResearch Seminar, Department of Computer and Communication Engineering, Edith Cowan University, Perth, Australia, June 17, 1996. Neural Networks: Past, Present and TrendsComputer Science and Engineering Seminar, University of Louisville, February 29, 1996. Neuronale Netze und Fuzzy-Logic und Ihre AnwendungenGraduate Seminar, Rostock University, Rostock, Germany, January 18, 1996. | ||||||
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