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Igor T. Podolak
Igor T. Podolak
Faculty of Mathamatics and Computer Science, Jagiellonian University, Krakow, Poland
Verified email at uj.edu.pl - Homepage
Title
Cited by
Cited by
Year
Facial component extraction and face recognition with support vector machines
D Xi, IT Podolak, SW Lee
Proceedings of Fifth IEEE International Conference on Automatic Face Gesture …, 2002
742002
Cramer-Wold auto-encoder
S Knop, P Spurek, J Tabor, I Podolak, M Mazur, S Jastrzebski
The Journal of Machine Learning Research 21 (1), 6594-6621, 2020
53*2020
Hierarchical classifier with overlapping class groups
IT Podolak
Expert Systems with Applications 34 (1), 673-682, 2008
442008
Zero time waste: Recycling predictions in early exit neural networks
M Wołczyk, B Wójcik, K Bałazy, IT Podolak, J Tabor, M Śmieja, T Trzcinski
Advances in Neural Information Processing Systems 34, 2516-2528, 2021
312021
Machine learning with known input data uncertainty measure
WM Czarnecki, IT Podolak
IFIP International Conference on Computer Information Systems and Industrial …, 2013
252013
Distribution-interpolation trade off in generative models
D Leśniak, I Sieradzki, I Podolak
International Conference on Learning Representations, 2018
212018
Functional graph model of a neural network
IT Podolak
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998
201998
Docking-based generative approaches in the search for new drug candidates
T Danel, J Łęski, S Podlewska, IT Podolak
Drug Discovery Today 28 (2), 103439, 2023
182023
Latent translation: Crossing modalities by bridging generative models
Y Tian, J Engel
arXiv preprint arXiv:1902.08261, 2019
182019
Relative molecule self-attention transformer
Ł Maziarka, D Majchrowski, T Danel, P Gaiński, J Tabor, I Podolak, ...
Journal of Cheminformatics 16 (1), 3, 2024
162024
Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features
B Bohaterewicz, B Wójcik, A Sobczak, T Marek
Frontiers in Neuroscience, 2021
152021
A machine learning approach to synchronization of automata
I Podolak, A Roman, M Szykuła, B Zieliński
Expert Systems with Applications 97, 357-371, 2018
152018
Discovering structure in geographical metadata
I Podolak, U Demšar
Proceedings of the 12th conference in Geoinformatics, 1-7, 2004
142004
Theoretical foundations and experimental results for a hierarchical classifier with overlapping clusters
IT Podolak, A Roman
Computational Intelligence 29 (2), 357-388, 2013
122013
CORES: fusion of supervised and unsupervised training methods for a multi-class classification problem
IT Podolak, A Roman
Pattern Analysis and Applications 14, 395-413, 2011
112011
Hierarchical estimator
S Brodowski, IT Podolak
Expert Systems with Applications 38 (10), 12237-12248, 2011
112011
Hierarchical classifier
IT Podolak, S Biel, M Bobrowski
International Conference on Parallel Processing and Applied Mathematics, 591-598, 2005
102005
A hierarchical classifier with growing neural gas clustering
IT Podolak, K Bartocha
Adaptive and Natural Computing Algorithms: 9th International Conference …, 2009
92009
Feedforward neural network's sensitivity to input data representation
IT Podolak
Computer physics communications 117 (1-2), 181-188, 1999
91999
Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks
J Żygierewicz, RA Janik, IT Podolak, A Drozd, U Malinowska, ...
Journal of Neural Engineering 19 (4), 046053, 2022
82022
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