Tomasz G. Smolinski - researchr alias

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Viewing Publication 1 - 16 from 16

2017

Mechanisms of generation of membrane potential resonance in a neuron with multiple resonant ionic currentsDavid M. Fox, Hua-an Tseng, Tomasz G. Smolinski, Horacio G. Rotstein, Farzan Nadim. ploscb, 13(6), 2017. [doi]

2013

Rough Sets and NeuroscienceTomasz G. Smolinski, Astrid A. Prinz. In Andrzej Skowron, Zbigniew Suraj, editors, Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam - Volume 2. Volume 43 of Intelligent Systems Reference Library, pages 493-514, Springer, 2013. [doi]

2010

Rough Sets for Solving Classification Problems in Computational NeuroscienceTomasz G. Smolinski, Astrid A. Prinz. rsctc 2010: 620-629 [doi]

2009

Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuronTomasz G. Smolinski, Astrid A. Prinz. ijcnn 2009: 2964-2970 [doi]

2008

Computational Intelligence in Electrophysiology: Trends and Open ProblemsCengiz Günay, Tomasz G. Smolinski, William W. Lytton, Thomas M. Morse, Padraig Gleeson, Sharon 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. In Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul Ella Hassanien, editors, Applications of Computational Intelligence in Biology: Current Trends and Open Problems. Volume 122 of Studies in Computational Intelligence, pages 325-359, Springer, 2008. [doi]

Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and ChallengesAboul Ella Hassanien, Mariofanna G. Milanova, Tomasz G. Smolinski, Ajith Abraham. In Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul Ella Hassanien, editors, Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications. Volume 151 of Studies in Computational Intelligence, pages 3-47, Springer, 2008. [doi]

2006

2004

Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker IndentificationGrzegorz M. Boratyn, Tomasz G. Smolinski, Jacek M. Zurada, Mariofanna G. Milanova, Sudeepa Bhattacharyya, Larry J. Suva. icaisc 2004: 486-491 [doi]

Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost RecoveryTomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada. icaisc 2004: 538-543 [doi]

2003

Scoring-Based Analysis of Protein Patterns for Identification of Myeloma CancerGrzegorz M. Boratyn, Tomasz G. Smolinski, Mariofanna G. Milanova, Jacek M. Zurada, Sudeepa Bhattacharyya, Larry J. Suva. metmbs 2003: 60-65

Time Series Prediction using Rough Sets and Neural Networks Hybrid ApproachTomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada. pet 2003: 108-111

2002

Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat s Barrel CortexMariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wrobel. scalespace 2002: 198-212 [doi]

Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked PotentialsTomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Jacek M. Zurada, Andrzej Wrobel. rsctc 2002: 621-628 [doi]

2001

A Genetic Algorithm-based Data Mining Approach to Profiling the Adopters and Non-Adopters of E-PurchasingHokey Min, Tomasz G. Smolinski, Grzegorz M. Boratyn. iri 2001: 1-6

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