Tomasz G. Smolinski

According to our database, Tomasz G. Smolinski authored at least 18 papers between 2001 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Mechanisms of generation of membrane potential resonance in a neuron with multiple resonant ionic currents.

David M. Fox, Hua-an Tseng, Tomasz G. Smolinski, Horacio G. Rotstein, Farzan Nadim

PLoS Comput. Biol., 2017

2014

Multi-objective Evolutionary Algorithms.

Tomasz G. Smolinski

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Automated Parameter Search in Small Network Central Pattern Generators.

Tomasz G. Smolinski

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

Rough Sets and Neuroscience.

Tomasz G. Smolinski, Astrid A. Prinz

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

2010

Rough Sets for Solving Classification Problems in Computational Neuroscience.

Tomasz G. Smolinski, Astrid A. Prinz

Proceedings of the Rough Sets and Current Trends in Computing, 2010

2009

Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron.

Tomasz G. Smolinski, Astrid A. Prinz

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and Challenges.

Aboul Ella Hassanien, Mariofanna G. Milanova, Tomasz G. Smolinski, Ajith Abraham

Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Computational Intelligence in Electrophysiology: Trends and Open Problems.

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

Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

2006

Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials.

Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. Boratyn, Mariofanna G. Milanova, Astrid A. Prinz

BMC Bioinform., 2006

Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials.

Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Roger Buchanan, Astrid A. Prinz

Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006

Multi-objective evolutionary algorithms and rough sets for decomposition and analysis of cortical evoked potentials.

Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Roger Buchanan, Astrid A. Prinz

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2004

Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery.

Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada

Proceedings of the Artificial Intelligence and Soft Computing, 2004

Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification.

Grzegorz M. Boratyn, Tomasz G. Smolinski, Jacek M. Zurada, Mariofanna G. Milanova, Sudeepa Bhattacharyya, Larry J. Suva

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach.

Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer.

Grzegorz M. Boratyn, Tomasz G. Smolinski, Mariofanna G. Milanova, Jacek M. Zurada, Sudeepa Bhattacharyya, Larry J. Suva

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003

2002

Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex.

Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wróbel

Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials.

Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Jacek M. Zurada, Andrzej Wróbel

Proceedings of the Rough Sets and Current Trends in Computing, 2002

2001

A Genetic Algorithm-based Data Mining Approach to Profiling the Adopters and Non-Adopters of E-Purchasing.

Hokey Min, Tomasz G. Smolinski, Grzegorz M. Boratyn

Proceedings of the ISCA 3rd International Conference on Information Reuse and Integration, 2001