Patryk Orzechowski

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 39

Top Topics

Clustering Algorithm

Gene Expression

Regression Methods

Top Venues

GECCO (Companion)

GECCO Companion

Publications

Adam Sulek, Jakub Jonczyk, Patryk Orzechowski, Ahmed Abdeen Hamed, Marek Wodzinski
EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability. ICCS (3) (2024)
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems. CoRR (2022)
Pawel Jemiolo, Dawid Storman, Maria Mamica, Mateusz Szymkowski, Patryk Orzechowski
Automated Affect and Emotion Recognition from Cardiovascular Signals - A Systematic Overview Of The Field. HICSS (2022)
Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost Wagenaar
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. GECCO Companion (2022)
Pedro Henrique Ribeiro, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Benchmarking AutoML algorithms on a collection of synthetic classification problems. CoRR (2022)
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Applying autonomous hybrid agent-based computing to difficult optimization problems. J. Comput. Sci. 64 (2022)
William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
Contemporary Symbolic Regression Methods and their Relative Performance. NeurIPS Datasets and Benchmarks (2021)
Aleksandra Urbanczyk, Bartosz Nowak, Patryk Orzechowski, Jason H. Moore, Marek Kisiel-Dorohinicki, Aleksander Byrski
Socio-cognitive Evolution Strategies. ICCS (2) (2021)
Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia. GECCO Companion (2021)
Patryk Orzechowski, Jason H. Moore
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers. CoRR (2021)
Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
EBIC.JL - an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia. CoRR (2021)
Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
Rapid prototyping of evolution-driven biclustering methods in Julia. GECCO Companion (2021)
William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
Contemporary Symbolic Regression Methods and their Relative Performance. CoRR (2021)
Trang T. Le, Hoyt Gong, Patryk Orzechowski, Elisabetta Manduchi, Jason H. Moore
Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions. BIOINFORMATICS (2020)
Patryk Orzechowski, Franciszek Magiera, Jason H. Moore
Benchmarking Manifold Learning Methods on a Large Collection of Datasets. EuroGP (2020)
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
Benchmarking in Optimization: Best Practice and Open Issues. CoRR (2020)
Patryk Orzechowski, Jason H. Moore
EBIC: a scalable biclustering method for large scale data analysis. GECCO (Companion) (2019)
Elisabetta Manduchi, Patryk Orzechowski, Marylyn D. Ritchie, Jason H. Moore
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. BioData Min. 12 (1) (2019)
Patryk Orzechowski, Jason H. Moore
EBIC: an open source software for high-dimensional and big data analyses. Bioinform. 35 (17) (2019)
Patryk Orzechowski, Jason H. Moore
Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data? GECCO (Companion) (2019)
Patryk Orzechowski, Jason H. Moore
Strategies for improving performance of evolutionary biclustering algorithm EBIC. GECCO (Companion) (2019)
Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore
EBIC: a next-generation evolutionary-based parallel biclustering method. GECCO (Companion) (2018)
Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore
EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery. Bioinform. 34 (21) (2018)
Patryk Orzechowski, Adrian Horzyk, Janusz A. Starzyk, Jason H. Moore
Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks. SSCI (2018)
Patryk Orzechowski, Artur Panszczyk, Xiuzhen Huang, Jason H. Moore
runibic: a Bioconductor package for parallel row-based biclustering of gene expression data. Bioinform. 34 (24) (2018)
Brett K. Beaulieu-Jones, Patryk Orzechowski, Jason H. Moore
Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database. PSB (2018)
Patryk Orzechowski, Jason H. Moore
EBIC: an open source software for high-dimensional and big data biclustering analyses. CoRR (2018)
Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore
EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery. CoRR (2018)
Patryk Orzechowski, William G. La Cava, Jason H. Moore
Where are we now?: a large benchmark study of recent symbolic regression methods. GECCO (2018)
Patryk Orzechowski, William G. La Cava, Jason H. Moore
Where are we now? A large benchmark study of recent symbolic regression methods. CoRR (2018)
Alena Orlenko, Jason H. Moore, Patryk Orzechowski, Randal S. Olson, Junmei Cairns, Pedro J. Caraballo, Richard M. Weinshilboum, Liewei Wang, Matthew K. Breitenstein
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. PSB (2018)
Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, Patryk Orzechowski, Ryan J. Urbanowicz, John H. Holmes, Jason H. Moore
A System for Accessible Artificial Intelligence. GPTP (2017)
Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison. CoRR (2017)
Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
PMLB: a large benchmark suite for machine learning evaluation and comparison. BioData Min. 10 (1) (2017)
Patryk Orzechowski, Krzysztof Boryczko
Text Mining with Hybrid Biclustering Algorithms. ICAISC (2) (2016)
Artur Panszczyk, Patryk Orzechowski
QtBiVis: a software toolbox for visual analysis of biclustering experiment. FedCSIS (2016)
Patryk Orzechowski, Krzysztof Boryczko
Propagation-Based Biclustering Algorithm for Extracting Inclusion-Maximal Motifs. Comput. Informatics 35 (2) (2016)
Patryk Orzechowski, Krzysztof Boryczko
Hybrid Biclustering Algorithms for Data Mining. EvoApplications (1) (2016)
Patryk Orzechowski, Krzysztof Boryczko
Rough assessment of GPU capabilities for parallel PCC-based biclustering method applied to microarray data sets. Bio Algorithms Med Syst. 11 (4) (2015)
Patryk Orzechowski
Proximity Measures and Results Validation in Biclustering - A Survey. ICAISC (2) (2013)