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Patryk Orzechowski
Patryk Orzechowski
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Title
Cited by
Cited by
Year
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
2262017
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
1072018
Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III critical care database
BK Beaulieu-Jones, P Orzechowski, JH Moore
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific Symposiumá…, 2018
442018
Benchmarking in optimization: Best practice and open issues
T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ...
arXiv preprint arXiv:2007.03488, 2020
432020
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, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific Symposiumá…, 2018
342018
EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery
P Orzechowski, M Sipper, X Huang, JH Moore
Bioinformatics 34 (21), 3719-3726, 2018
292018
A system for accessible artificial intelligence
RS Olson, M Sipper, WL Cava, S Tartarone, S Vitale, W Fu, ...
Genetic programming theory and practice XV, 121-134, 2018
252018
Contemporary symbolic regression methods and their relative performance
W La Cava, P Orzechowski, B Burlacu, FO de Franša, M Virgolin, Y Jin, ...
arXiv preprint arXiv:2107.14351, 2021
192021
Text mining with hybrid biclustering algorithms
P Orzechowski, K Boryczko
International Conference on Artificial Intelligence and Soft Computing, 102-113, 2016
172016
Proximity measures and results validation in biclustering–a survey
P Orzechowski
International Conference on Artificial Intelligence and Soft Computing, 206-217, 2013
172013
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
162018
Propagation-based biclustering algorithm for extracting inclusion-maximal motifs
P Orzechowski, K Boryczko
Computing and Informatics 35 (2), 391-410, 2016
132016
Hybrid biclustering algorithms for data mining
P Orzechowski, K Boryczko
European Conference on the Applications of Evolutionary Computation, 156-168, 2016
132016
Effective biclustering on GPU-capabilities and constraints
P Orzechowski, K Boryczko
Prz Elektrotechniczn 1, 133-6, 2015
102015
EBIC: an open source software for high-dimensional and big data analyses
P Orzechowski, JH Moore
Bioinformatics 35 (17), 3181-3183, 2019
9*2019
Parallel approach for visual clustering of protein databases
P Orzechowski, K Boryczko
Computing and Informatics 29 (6+), 1221-1231, 2010
92010
Scalable biclustering—the future of big data exploration?
P Orzechowski, K Boryczko, JH Moore
GigaScience 8 (7), giz078, 2019
82019
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
72020
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
72015
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 Companioná…, 2018
42018
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