Tomasz G. Smolinski

20 papers B 1Misc 4Journal 2Unranked 6
YearRankTypeTitle / Venue / Authors
2017 J jnl
Mechanisms of generation of membrane potential resonance in a neuron with multiple resonant ionic currents.
PLoS Comput. Biol.
David M. Fox, Hua-an Tseng, Tomasz G. Smolinski, Horacio G. Rotstein, Farzan Nadim
2014 — ch.
Automated Parameter Search in Small Network Central Pattern Generators.
Encyclopedia of Computational Neuroscience
Tomasz G. Smolinski
2014 — ch.
Multi-objective Evolutionary Algorithms.
Encyclopedia of Computational Neuroscience
Tomasz G. Smolinski
2013 — ch.
Rough Sets and Neuroscience.
Rough Sets and Intelligent Systems (2)
Tomasz G. Smolinski, Astrid A. Prinz
2010 — conf
Rough Sets for Solving Classification Problems in Computational Neuroscience.
RSCTC
Tomasz G. Smolinski, Astrid A. Prinz
2009 B conf
Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron.
IJCNN
Tomasz G. Smolinski, Astrid A. Prinz
2008 — book
Applications of Computational Intelligence in Biology: Current Trends and Open Problems
Applications of Computational Intelligence in Biology
Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul Ella Hassanien
2008 — book
Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications
Computational Intelligence in Biomedicine and Bioinformatics
Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul Ella Hassanien
2008 — ch.
Computational Intelligence in Electrophysiology: Trends and Open Problems.
Applications of Computational Intelligence in Biology
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
2008 — ch.
Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and Challenges.
Computational Intelligence in Biomedicine and Bioinformatics
Aboul Ella Hassanien, Mariofanna G. Milanova, Tomasz G. Smolinski, Ajith Abraham
2006 — conf
Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials.
PRIB
Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Roger Buchanan, Astrid A. Prinz
2006 J jnl
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials.
BMC Bioinform.
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. Boratyn, Mariofanna G. Milanova, Astrid A. Prinz
2006 Misc conf
Multi-objective evolutionary algorithms and rough sets for decomposition and analysis of cortical evoked potentials.
GrC
Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Roger Buchanan, Astrid A. Prinz
2004 Misc conf
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery.
ICAISC
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada
2004 Misc conf
Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification.
ICAISC
Grzegorz M. Boratyn, Tomasz G. Smolinski, Jacek M. Zurada, Mariofanna G. Milanova, Sudeepa Bhattacharyya, Larry J. Suva
2003 — conf
Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer.
METMBS
Grzegorz M. Boratyn, Tomasz G. Smolinski, Mariofanna G. Milanova, Jacek M. Zurada, Sudeepa Bhattacharyya, Larry J. Suva
2003 — conf
Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach.
Neural Networks and Computational Intelligence
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada
2002 — conf
Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials.
Rough Sets and Current Trends in Computing
Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Jacek M. Zurada, Andrzej Wróbel
2002 — conf
Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex.
SVM
Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wróbel
2001 Misc conf
A Genetic Algorithm-based Data Mining Approach to Profiling the Adopters and Non-Adopters of E-Purchasing.
IRI
Hokey Min, Tomasz G. Smolinski, Grzegorz M. Boratyn