| 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 | 231 | 2017 |
| 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 | 109 | 2018 |
| 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 | 50 | 2020 |
| 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 Symposium …, 2018 | 45 | 2018 |
| 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 Symposium …, 2018 | 34 | 2018 |
| EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery P Orzechowski, M Sipper, X Huang, JH Moore Bioinformatics 34 (21), 3719-3726, 2018 | 30 | 2018 |
| Contemporary symbolic regression methods and their relative performance W La Cava, P Orzechowski, B Burlacu, FO de França, M Virgolin, Y Jin, ... arXiv preprint arXiv:2107.14351, 2021 | 26 | 2021 |
| 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 | 26 | 2018 |
| Text mining with hybrid biclustering algorithms P Orzechowski, K Boryczko International Conference on Artificial Intelligence and Soft Computing, 102-113, 2016 | 17 | 2016 |
| Proximity measures and results validation in biclustering–a survey P Orzechowski International Conference on Artificial Intelligence and Soft Computing, 206-217, 2013 | 17 | 2013 |
| 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 | 16 | 2018 |
| Propagation-based biclustering algorithm for extracting inclusion-maximal motifs P Orzechowski, K Boryczko Computing and Informatics 35 (2), 391-410, 2016 | 13 | 2016 |
| Hybrid biclustering algorithms for data mining P Orzechowski, K Boryczko European Conference on the Applications of Evolutionary Computation, 156-168, 2016 | 13 | 2016 |
| Effective biclustering on GPU-capabilities and constraints P Orzechowski, K Boryczko Prz Elektrotechniczn 1, 133-6, 2015 | 10 | 2015 |
| 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 | 9 | 2010 |
| Scalable biclustering—the future of big data exploration? P Orzechowski, K Boryczko, JH Moore GigaScience 8 (7), giz078, 2019 | 8 | 2019 |
| 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 | 7 | 2020 |
| 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 | 7 | 2015 |
| 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 Companion …, 2018 | 4 | 2018 |
Jason H. MooreProfessor and Director, Institute for Biomedical Informatics, University of PennsylvaniaBestätigte E-Mail-Adresse bei upenn.edu
