Patryk Orzechowski

According to our database, Patryk Orzechowski authored at least 34 papers between 2013 and 2022.

Collaborative distances:

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

2022

Applying autonomous hybrid agent-based computing to difficult optimization problems.

Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore

J. Comput. Sci., 2022

Benchmarking AutoML algorithms on a collection of synthetic classification problems.

Pedro Henrique Ribeiro, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore

CoRR, 2022

Automated Affect and Emotion Recognition from Cardiovascular Signals - A Systematic Overview Of The Field.

Pawel Jemiolo, Dawid Storman, Maria Mamica, Mateusz Szymkowski, Patryk Orzechowski

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark.

Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost Wagenaar

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers.

Patryk Orzechowski, Jason H. Moore

CoRR, 2021

Contemporary Symbolic Regression Methods and their Relative Performance.

William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Socio-cognitive Evolution Strategies.

Aleksandra Urbanczyk, Bartosz Nowak, Patryk Orzechowski, Jason H. Moore, Marek Kisiel-Dorohinicki, Aleksander Byrski

Proceedings of the Computational Science - ICCS 2021, 2021

EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia.

Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Rapid prototyping of evolution-driven biclustering methods in Julia.

Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Benchmarking in Optimization: Best Practice and Open Issues.

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

CoRR, 2020

Benchmarking Manifold Learning Methods on a Large Collection of Datasets.

Patryk Orzechowski, Franciszek Magiera, Jason H. Moore

Proceedings of the Genetic Programming - 23rd European Conference, 2020

Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions.

Trang T. Le, Hoyt Gong, Patryk Orzechowski, Elisabetta Manduchi, Jason H. Moore

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

EBIC: an open source software for high-dimensional and big data analyses.

Patryk Orzechowski, Jason H. Moore

Bioinform., 2019

Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies.

Elisabetta Manduchi, Patryk Orzechowski, Marylyn D. Ritchie, Jason H. Moore

BioData Min., 2019

Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data?

Patryk Orzechowski, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Strategies for improving performance of evolutionary biclustering algorithm EBIC.

Patryk Orzechowski, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

EBIC: a scalable biclustering method for large scale data analysis.

Patryk Orzechowski, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

EBIC: an open source software for high-dimensional and big data biclustering analyses.

Patryk Orzechowski, Jason H. Moore

CoRR, 2018

EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery.

Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore

CoRR, 2018

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery.

Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore

Bioinform., 2018

runibic: a Bioconductor package for parallel row-based biclustering of gene expression data.

Patryk Orzechowski, Artur Panszczyk, Xiuzhen Huang, Jason H. Moore

Bioinform., 2018

Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks.

Patryk Orzechowski, Adrian Horzyk, Janusz A. Starzyk, Jason H. Moore

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.

Alena Orlenko, Jason H. Moore, Patryk Orzechowski, Randal S. Olson, Junmei Cairns, Pedro J. Caraballo, Richard M. Weinshilboum, Liewei Wang, Matthew K. Breitenstein

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database.

Brett K. Beaulieu-Jones, Patryk Orzechowski, Jason H. Moore

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

EBIC: a next-generation evolutionary-based parallel biclustering method.

Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Where are we now?: a large benchmark study of recent symbolic regression methods.

Patryk Orzechowski, William G. La Cava, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

PMLB: a large benchmark suite for machine learning evaluation and comparison.

Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore

BioData Min., 2017

A System for Accessible Artificial Intelligence.

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

Proceedings of the Genetic Programming Theory and Practice XV, 2017

2016

Propagation-Based Biclustering Algorithm for Extracting Inclusion-Maximal Motifs.

Patryk Orzechowski, Krzysztof Boryczko

Comput. Informatics, 2016

Text Mining with Hybrid Biclustering Algorithms.

Patryk Orzechowski, Krzysztof Boryczko

Proceedings of the Artificial Intelligence and Soft Computing, 2016

QtBiVis: a software toolbox for visual analysis of biclustering experiment.

Artur Panszczyk, Patryk Orzechowski

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Hybrid Biclustering Algorithms for Data Mining.

Patryk Orzechowski, Krzysztof Boryczko

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2015

Rough assessment of GPU capabilities for parallel PCC-based biclustering method applied to microarray data sets.

Patryk Orzechowski, Krzysztof Boryczko

Bio Algorithms Med Syst., 2015

2013

Proximity Measures and Results Validation in Biclustering - A Survey.

Patryk Orzechowski

Proceedings of the Artificial Intelligence and Soft Computing, 2013