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Igor T. Podolak
Igor T. Podolak
Faculty of Mathamatics and Computer Science, Jagiellonian University, Krakow, Poland
Zweryfikowany adres z uj.edu.pl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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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
752002
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
59*2020
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
472021
Hierarchical classifier with overlapping class groups
IT Podolak
Expert Systems with Applications 34 (1), 673-682, 2008
442008
Relative molecule self-attention transformer
Ł Maziarka, D Majchrowski, T Danel, P Gaiński, J Tabor, I Podolak, ...
Journal of Cheminformatics 16 (1), 3, 2024
332024
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
272023
Machine learning with known input data uncertainty measure
WM Czarnecki, IT Podolak
IFIP International Conference on Computer Information Systems and Industrial …, 2013
262013
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
242021
Distribution-interpolation trade off in generative models
D Leśniak, I Sieradzki, I Podolak
International Conference on Learning Representations, 2018
222018
Functional graph model of a neural network
IT Podolak
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998
211998
Latent translation: Crossing modalities by bridging generative models
Y Tian, J Engel
arXiv preprint arXiv:1902.08261, 2019
192019
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
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
132022
Generative models with kernel distance in data space
S Knop, M Mazur, P Spurek, J Tabor, I Podolak
Neurocomputing 487, 119-129, 2022
132022
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
Deep convolutional neural network for preliminary in-field classification of lichen species
A Galanty, T Danel, M Węgrzyn, I Podolak, I Podolak
biosystems engineering 204, 15-25, 2021
92021
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