Proximity Measures and Results Validation in Biclustering - A Survey. - Patryk Orzechowski (ICAISC (2), 2013)

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)

Hybrid Biclustering Algorithms for Data Mining. - Patryk Orzechowski; Krzysztof Boryczko (EvoApplications (1), 2016)

QtBiVis: a software toolbox for visual analysis of biclustering experiment. - Artur Panszczyk; Patryk Orzechowski (FedCSIS, 2016)

Text Mining with Hybrid Biclustering Algorithms. - Patryk Orzechowski; Krzysztof Boryczko (ICAISC (2), 2016)

Propagation-Based Biclustering Algorithm for Extracting Inclusion-Maximal Motifs. - Patryk Orzechowski; Krzysztof Boryczko (Comput. Informatics, 2016)

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 (GPTP, 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)

Where are we now?: a large benchmark study of recent symbolic regression methods. - Patryk Orzechowski; William G. La Cava; Jason H. Moore (GECCO, 2018)

EBIC: a next-generation evolutionary-based parallel biclustering method. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (GECCO (Companion), 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 (PSB, 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 (PSB, 2018)

Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks. - Patryk Orzechowski; Adrian Horzyk; Janusz A. Starzyk; Jason H. Moore (SSCI, 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)

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (Bioinform., 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 open source software for high-dimensional and big data biclustering analyses. - Patryk Orzechowski; Jason H. Moore (CoRR, 2018)

EBIC: a scalable biclustering method for large scale data analysis. - Patryk Orzechowski; Jason H. Moore (GECCO (Companion), 2019)

Strategies for improving performance of evolutionary biclustering algorithm EBIC. - Patryk Orzechowski; Jason H. Moore (GECCO (Companion), 2019)

Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data? - Patryk Orzechowski; Jason H. Moore (GECCO (Companion), 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)

EBIC: an open source software for high-dimensional and big data analyses. - Patryk Orzechowski; Jason H. Moore (Bioinform., 2019)

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 (BIOINFORMATICS, 2020)

Benchmarking Manifold Learning Methods on a Large Collection of Datasets. - Patryk Orzechowski; Franciszek Magiera; Jason H. Moore (EuroGP, 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 001; Katherine M. Malan; Jason H. Moore; Boris Naujoks; Patryk Orzechowski; et al. (CoRR, 2020)

Rapid prototyping of evolution-driven biclustering methods in Julia. - Pawel Renc; Patryk Orzechowski; Aleksander Byrski; Jaroslaw Was; Jason H. Moore (GECCO Companion, 2021)

EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia. - Pawel Renc; Patryk Orzechowski; Aleksander Byrski; Jaroslaw Was; Jason H. Moore (GECCO Companion, 2021)

Socio-cognitive Evolution Strategies. - Aleksandra Urbanczyk; Bartosz Nowak; Patryk Orzechowski; Jason H. Moore; Marek Kisiel-Dorohinicki; Aleksander Byrski (ICCS (2), 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 (NeurIPS Datasets and Benchmarks, 2021)

Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers. - Patryk Orzechowski; Jason H. Moore (CoRR, 2021)

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 B. Wagenaar (GECCO Companion, 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 (HICSS, 2022)

Benchmarking AutoML algorithms on a collection of synthetic classification problems. - Pedro Henrique Ribeiro; Patryk Orzechowski; Joost B. Wagenaar; Jason H. Moore (CoRR, 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 B. Wagenaar; Jason H. Moore (J. Comput. Sci., 2022)

EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability. - Adam Sulek; Jakub Jonczyk; Patryk Orzechowski; Ahmed Abdeen Hamed; Marek Wodzinski (ICCS (3), 2024)

QOT: Quantized Optimal Transport for sample-level distance matrix in single-cell omics. - Zexuan Wang; Qipeng Zhan; Shu Yang 009; Shizhuo Mu; Jiong Chen; Sumita Garai; Patryk Orzechowski; Joost B. Wagenaar; Li Shen 001 (Briefings Bioinform., 2024)

Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond. - Zack Goldblum; Zhongchuan Xu; Haoer Shi; Patryk Orzechowski; Jamaal Spence; Kathryn A. Davis; Brian Litt; Nishant Sinha; Joost B. Wagenaar (CoRR, 2024)

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion. - Tianyi Wei; Shu Yang 009; Davoud Ataee Tarzanagh; Jingxuan Bao; Jia Xu; Patryk Orzechowski; Joost B. Wagenaar; Qi Long; Li Shen 001 (CoRR, 2024)

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. - Jia Xu; Tianyi Wei; Bojian Hou; Patryk Orzechowski; Shu Yang 009; Ruochen Jin; Rachael Paulbeck; Joost B. Wagenaar; George Demiris; Li Shen 001 (CoRR, 2025)