Igor T. Podolak
Igor T. Podolak
Faculty of Mathamatics and Computer Science, Jagiellonian University, Krakow, Poland
Verified email at uj.edu.pl - Homepage
Cited by
Cited by
Improved precision and recall metric for assessing generative models
T Kynkäänniemi, T Karras, S Laine, J Lehtinen, T Aila
arXiv preprint arXiv:1904.06991, 2019
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
Hierarchical classifier with overlapping class groups
IT Podolak
Expert Systems with Applications 34 (1), 673-682, 2008
Cramer-wold autoencoder
J Tabor, S Knop, P Spurek, I Podolak, M Mazur, S Jastrzębski
Functional graph model of a neural network
IT Podolak
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998
Machine learning with known input data uncertainty measure
WM Czarnecki, IT Podolak
IFIP International Conference on Computer Information Systems and Industrial …, 2013
Discovering structure in geographical metadata
I Podolak, U Demšar
Proceedings of the 12th conference in Geoinformatics, 1-7, 2004
Neuro-serket: development of integrative cognitive system through the composition of deep probabilistic generative models
T Taniguchi, T Nakamura, M Suzuki, R Kuniyasu, K Hayashi, A Taniguchi, ...
New Generation Computing, 1-26, 2020
A machine learning approach to synchronization of automata
I Podolak, A Roman, M Szykuła, B Zieliński
Expert Systems with Applications 97, 357-371, 2018
Theoretical foundations and experimental results for a hierarchical classifier with overlapping clusters
IT Podolak, A Roman
Computational Intelligence 29 (2), 357-388, 2013
CORES: fusion of supervised and unsupervised training methods for a multi-class classification problem
IT Podolak, A Roman
Pattern Analysis and Applications 14 (4), 395-413, 2011
Hierarchical estimator
S Brodowski, IT Podolak
Expert Systems with Applications 38 (10), 12237-12248, 2011
Hierarchical classifier
IT Podolak, S Biel, M Bobrowski
International Conference on Parallel Processing and Applied Mathematics, 591-598, 2005
Latent translation: Crossing modalities by bridging generative models
Y Tian, J Engel
arXiv preprint arXiv:1902.08261, 2019
A hierarchical classifier with growing neural gas clustering
IT Podolak, K Bartocha
International Conference on Adaptive and Natural Computing Algorithms, 283-292, 2009
Distribution-interpolation trade off in generative models
D Leśniak, I Sieradzki, I Podolak
International Conference on Learning Representations, 2018
Hierarchical rules for a hierarchical classifier
IT Podolak
International Conference on Adaptive and Natural Computing Algorithms, 749-757, 2007
A hybrid neural system for phonematic transformation
IT Podolak, SW Lee, A Bielecki, E Majkut
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
Feedforward neural network's sensitivity to input data representation
IT Podolak
Computer physics communications 117 (1-2), 181-188, 1999
Application of hierarchical classifier to minimal synchronizing word problem
IT Podolak, A Roman, D Jędrzejczyk
International Conference on Artificial Intelligence and Soft Computing, 421-429, 2012
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