Patryk Orzechowski

Orcid: 0000-0003-3578-9809

According to our database1, Patryk Orzechowski authored at least 37 papers between 2013 and 2024.

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Bibliography

2024
Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion.
CoRR, 2024

Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond.
CoRR, 2024

EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability.
Proceedings of the Computational Science - ICCS 2024, 2024

2022
Applying autonomous hybrid agent-based computing to difficult optimization problems.
J. Comput. Sci., 2022

Benchmarking AutoML algorithms on a collection of synthetic classification problems.
CoRR, 2022

Automated Affect and Emotion Recognition from Cardiovascular Signals - A Systematic Overview Of The Field.
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.
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.
CoRR, 2021

Contemporary Symbolic Regression Methods and their Relative Performance.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Socio-cognitive Evolution Strategies.
Proceedings of the Computational Science - ICCS 2021, 2021

EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Rapid prototyping of evolution-driven biclustering methods in Julia.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Benchmarking in Optimization: Best Practice and Open Issues.
CoRR, 2020

Benchmarking Manifold Learning Methods on a Large Collection of Datasets.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions.
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.
Bioinform., 2019

Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies.
BioData Min., 2019

Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data?
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Strategies for improving performance of evolutionary biclustering algorithm EBIC.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

EBIC: a scalable biclustering method for large scale data analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
EBIC: an open source software for high-dimensional and big data biclustering analyses.
CoRR, 2018

EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery.
CoRR, 2018

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery.
Bioinform., 2018

runibic: a Bioconductor package for parallel row-based biclustering of gene expression data.
Bioinform., 2018

Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks.
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.
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.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

EBIC: a next-generation evolutionary-based parallel biclustering method.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Where are we now?: a large benchmark study of recent symbolic regression methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
PMLB: a large benchmark suite for machine learning evaluation and comparison.
BioData Min., 2017

A System for Accessible Artificial Intelligence.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

2016
Propagation-Based Biclustering Algorithm for Extracting Inclusion-Maximal Motifs.
Comput. Informatics, 2016

Text Mining with Hybrid Biclustering Algorithms.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

QtBiVis: a software toolbox for visual analysis of biclustering experiment.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Hybrid Biclustering Algorithms for Data Mining.
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.
Bio Algorithms Med Syst., 2015

2013
Proximity Measures and Results Validation in Biclustering - A Survey.
Proceedings of the Artificial Intelligence and Soft Computing, 2013


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