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ORCIDTomasz G. Smolinski
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Journal Articles
- 2017
[j2]David M. Fox, Hua-an Tseng, Tomasz G. Smolinski, Horacio G. Rotstein, Farzan Nadim:
Mechanisms of generation of membrane potential resonance in a neuron with multiple resonant ionic currents. PLoS Comput. Biol. 13(6) (2017)- 2006
- [j1]Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. Boratyn, Mariofanna G. Milanova
, Astrid A. Prinz:
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials. BMC Bioinform. 7(S-2) (2006)
Conference and Workshop Papers
- 2010
- [c11]Tomasz G. Smolinski, Astrid A. Prinz:
Rough Sets for Solving Classification Problems in Computational Neuroscience. RSCTC 2010: 620-629 - 2009
- [c10]Tomasz G. Smolinski, Astrid A. Prinz:
Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron. IJCNN 2009: 2964-2970 - 2006
- [c9]Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Roger Buchanan, Astrid A. Prinz:
Multi-objective evolutionary algorithms and rough sets for decomposition and analysis of cortical evoked potentials. GrC 2006: 635-638 - [c8]Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Roger Buchanan, Astrid A. Prinz:
Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials. PRIB 2006: 174-183 - 2004
- [c7]Grzegorz M. Boratyn, Tomasz G. Smolinski, Jacek M. Zurada, Mariofanna G. Milanova, Sudeepa Bhattacharyya, Larry J. Suva:
Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification. ICAISC 2004: 486-491 - [c6]Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada:
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery. ICAISC 2004: 538-543 - 2003
- [c5]Grzegorz M. Boratyn, Tomasz G. Smolinski, Mariofanna G. Milanova, Jacek M. Zurada, Sudeepa Bhattacharyya, Larry J. Suva:
Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer. METMBS 2003: 60-65 - [c4]Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada:
Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach. Neural Networks and Computational Intelligence 2003: 108-111 - 2002
- [c3]Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Jacek M. Zurada, Andrzej Wróbel:
Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials. Rough Sets and Current Trends in Computing 2002: 621-628 - [c2]Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wróbel:
Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex. SVM 2002: 198-212 - 2001
- [c1]Hokey Min, Tomasz G. Smolinski, Grzegorz M. Boratyn:
A Genetic Algorithm-based Data Mining Approach to Profiling the Adopters and Non-Adopters of E-Purchasing. IRI 2001: 1-6
Parts in Books or Collections
- 2013
- [p3]Tomasz G. Smolinski, Astrid A. Prinz:
Rough Sets and Neuroscience. Rough Sets and Intelligent Systems (2) 2013: 493-514 - 2008
- [p2]Aboul Ella Hassanien, Mariofanna G. Milanova, Tomasz G. Smolinski, Ajith Abraham:
Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and Challenges. Computational Intelligence in Biomedicine and Bioinformatics 2008: 3-47 - [p1]Cengiz Günay, Tomasz G. Smolinski, William W. Lytton, Thomas M. Morse, Padraig Gleeson, Sharon M. Crook, Volker Steuber, Angus Silver, Horatiu Voicu, Peter Andrews, Hemant Bokil, Hiren Maniar, Catherine Loader, Samar Mehta, David Kleinfeld, David J. Thomson, Partha P. Mitra, Gloster Aaron, Jean-Marc Fellous:
Computational Intelligence in Electrophysiology: Trends and Open Problems. Applications of Computational Intelligence in Biology 2008: 325-359
Editorship
- 2008
- [e2]Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul Ella Hassanien:
Applications of Computational Intelligence in Biology: Current Trends and Open Problems. Studies in Computational Intelligence 122, Springer 2008, ISBN 978-3-540-78533-0 [contents] - [e1]Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul Ella Hassanien:
Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications. Studies in Computational Intelligence 151, Springer 2008, ISBN 978-3-540-70776-9 [contents]
Reference Works
- 2014
- [r2]Tomasz G. Smolinski:
Automated Parameter Search in Small Network Central Pattern Generators. Encyclopedia of Computational Neuroscience 2014 - [r1]Tomasz G. Smolinski:
Multi-objective Evolutionary Algorithms. Encyclopedia of Computational Neuroscience 2014
Coauthor Index
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