Marek Grochowski
Affiliations: | 2008-2013 | Informatics | Nicolaus Copernicus University |
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Parents
Sign in to add mentor| Wlodzislaw Duch | grad student | 2008-2013 | Nicolaus Copernicus University | |
| (Artificial neural networks based on projection pursuit) | ||||
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Publications
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| Dreszer J, Grochowski M, Lewandowska M, et al. (2020) Spatiotemporal complexity patterns of resting-state bioelectrical activity explain fluid intelligence: Sex matters. Human Brain Mapping |
| Duch W, Maszczyk T, Grochowski M. (2011) Optimal support features for meta-learning Studies in Computational Intelligence. 358: 317-358 |
| Grochowski M, Duch W. (2011) Fast projection pursuit based on quality of projected clusters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6594: 89-97 |
| Grudzi?ski K, Grochowski M, Duch W. (2010) Pruning classification rules with reference vector selection methods Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6113: 347-354 |
| Maszczyk T, Grochowski M, Duch W. (2010) Discovering data structures using meta-learning, visualization and constructive neural networks Studies in Computational Intelligence. 263: 467-484 |
| Grochowski M, Duch W. (2009) Constructive neural network algorithms that solve highly non-separable problems Studies in Computational Intelligence. 258: 49-70 |
| Grochowski M, Duch W. (2009) Constrained learning vector quantization or relaxed k-separability Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5768: 151-160 |
| Grochowski M, Duch W. (2008) Projection pursuit constructive neural networks based on quality of projected clusters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 754-762 |
| Grochowski M, Duch W. (2008) A comparison of methods for learning of highly non-separable problems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5097: 566-577 |
| Grochowski M, Duch W. (2007) Learning highly non-separable boolean functions using constructive feedforward neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4668: 180-189 |