Patryk Orzechowski
Patryk Orzechowski
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PMLB: a large benchmark suite for machine learning evaluation and comparison
RS Olson, W La Cava, P Orzechowski, RJ Urbanowicz, JH Moore
BioData mining 10 (1), 1-13, 2017
Where are we now? A large benchmark study of recent symbolic regression methods
P Orzechowski, W La Cava, JH Moore
Proceedings of the Genetic and Evolutionary Computation Conference, 1183-1190, 2018
Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database.
BK Beaulieu-Jones, P Orzechowski, JH Moore
PSB, 123-132, 2018
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.
A Orlenko, JH Moore, P Orzechowski, RS Olson, J Cairns, PJ Caraballo, ...
PSB, 460-471, 2018
EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery
P Orzechowski, M Sipper, X Huang, JH Moore
Bioinformatics 34 (21), 3719-3726, 2018
A system for accessible artificial intelligence
RS Olson, M Sipper, W La Cava, S Tartarone, S Vitale, W Fu, ...
Genetic programming theory and practice XV, 121-134, 2018
Proximity measures and results validation in biclustering–a survey
P Orzechowski
International Conference on Artificial Intelligence and Soft Computing, 206-217, 2013
Propagation-based biclustering algorithm for extracting inclusion-maximal motifs
P Orzechowski, K Boryczko
Computing and Informatics 35 (2), 391-410, 2016
Text mining with hybrid biclustering algorithms
P Orzechowski, K Boryczko
International Conference on Artificial Intelligence and Soft Computing, 102-113, 2016
Hybrid biclustering algorithms for data mining
P Orzechowski, K Boryczko
European Conference on the Applications of Evolutionary Computation, 156-168, 2016
Benchmarking in optimization: Best practice and open issues
T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ...
arXiv preprint arXiv:2007.03488, 2020
runibic: a Bioconductor package for parallel row-based biclustering of gene expression data
P Orzechowski, A Pańszczyk, X Huang, JH Moore
Bioinformatics 34 (24), 4302-4304, 2018
Parallel approach for visual clustering of protein databases
P Orzechowski, K Boryczko
Computing and Informatics 29 (6+), 1221-1231, 2010
Effective biclustering on GPU-capabilities and constraints
P Orzechowski, K Boryczko
Prz Elektrotechniczn 1, 133-6, 2015
EBIC: an open source software for high-dimensional and big data analyses
P Orzechowski, JH Moore
Bioinformatics 35 (17), 3181-3183, 2019
Rough assessment of GPU capabilities for parallel PCC-based biclustering method applied to microarray data sets
P Orzechowski, K Boryczko
Bio-Algorithms and Med-Systems 11 (4), 243-248, 2015
Scalable biclustering—the future of big data exploration?
P Orzechowski, K Boryczko, JH Moore
GigaScience 8 (7), giz078, 2019
Problematyka modelowania ruchu miejskiego z wykorzystaniem automatów komórkowych
J Wąs, R Bieliński, B Gajewski, P Orzechowski
Automatyka/Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie 13 …, 2009
Ebic: a next-generation evolutionary-based parallel biclustering method
P Orzechowski, M Sipper, X Huang, JH Moore
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
Benchmarking manifold learning methods on a large collection of datasets
P Orzechowski, F Magiera, JH Moore
European Conference on Genetic Programming (Part of EvoStar), 135-150, 2020
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