Katedra Uczenia Maszynowego - lista publikacji
Nadjednostka:
201-363 z 363.
2020
163.
Finding the Optimal Network Depth in Classification Tasks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) [ECML PKDD], (2020),
162.
Devansh Arpit, Kyunghyun Cho, Stanislav Fort, Krzysztof J. Geras, Stanisław Jastrzębski, Maciej Szymczak, Jacek Tabor
The Break-Even Point on Optimization Trajectories of Deep Neural Networks, 8th International Conference On Learning Representations (2020),
161.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch
160.
Olivier Bachem, Olivier Bousquet, Lasse Espeholt, Sylvain Gelly, Karol Kurach, Marcin Michalski, Anton Raichuk, Carlos Riquelme, Piotr Stańczyk, Damien Vincent, Michał Zając
Google Research Football: A Novel Reinforcement Learning Environment, Proceedings of the Aaai Conference On Artificial Intelligence vol. Vol 34 No 04 (2020), 4501-4510
159.
Cramer-Wold Auto-Encoder, Journal of Machine Learning Research vol. 21 (2020), 1-28
158.
Processing of incomplete images by (graph) convolutional neural networks, International Conference On Machine Learning (workshop Track) (2020),
157.
Flow-based SVDD for anomaly detection, International Conference On Machine Learning (workshop Track) (2020),
156.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
Deep learning approach to describe and classify fungi microscopic images, PLoS One vol. 15(6) (2020), 1-16
155.
Kubica-Misztal Aleksandra , Krzysztof Misztal, Tomasz Służalec
154.
Marek Śmieja, Łukasz Struski, Mario A.T. Figueiredo
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, Neural Networks vol. 127 (2020), 193-203
153.
Damian Leśniak, Sabina Podlewska, Igor Sieradzki
152.
Tomasz Danel, Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
151.
Pointed subspace approach to incomplete data, Journal of Classification vol. 37 (2020), 42-57
2019
150.
Stanisław Jastrzębski, Maciej A. Nowak, Jacek Tabor, Wojciech Tarnowski, Piotr Warchoł
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function, International Conference on Artificial Intelligence and Statistics [AISTATS], (2019), 10
149.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
Classifier-Agnostic Saliency Map Extraction, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10087-10088
148.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
Adversarial framing for image and video classification, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10077-10078
147.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
146.
Generalized RBF kernel for incomplete data, Knowledge-Based Systems vol. 173 (2019), 150-162
145.
144.
Variational Auto-Encoders for Generating Feature-Preserving Automata, Proceedings of Ncma 2019, Books@ocg.at (austrian Computer Society) (2019), 171-185
143.
Set Aggregation Network as a Trainable Pooling Layer, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
142.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, Neural Information Processing Systems (workshop Track) (2019),
141.
Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
Mol-CycleGAN - A Generative Model for Molecular Optimization, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 810-816
140.
Hypernetwork Functional Image Representation, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 496-510
139.
Damian Leśniak, Igor Podolak, Igor Sieradzki
Distribution-Interpolation Trade off in Generative Models, International Conference On Learning Representations (2019),
138.
137.
136.
Maciej Brzeski, Hubert Dryja, Paweł Gora, Karnas Katarzyna, Arkadiusz Klemenko, Adrian Kochański, Dawid Kopczyk, Magdalena Kukawska, Marcin Możejko, Przemysław Przybyszewski
Solving Traffic Signal Setting Problem Using Machine Learning, International Conference On Models and Technologies for Intelligent Transportation Systems (2019),
135.
Projected memory clustering, Pattern Recognition Letters vol. 123 (2019), 9-15
134.
Online updating of active function cross-entropy clustering, Pattern Analysis and Applications vol. vol. 22 no. 4 (2019), 1409-1425
133.
SVM with a neutral class, Pattern Analysis and Applications vol. 22/2 (2019), 573-582
2018
131.
Bartosz Borucki, Beata Ciszkowska-Lyson, Norbert Kapiński, Krzysztof Nowiński, Tomasz Trzciński, Jakub Zieliński
Estimating Achilles tendon healing progress with convolutional neural networks, Medical Image Computing and Computer-Assisted Intervention [MICCAI], (2018),
130.
Yoshua Bengio, Laurent Charlin, Rosemary Ke, Zhouhan Lin, Christopher Pal, Joelle Pineau, Alessandro Sordoni, Adam Trischler, Konrad Żołna
Focused Hierarchical RNNs for Conditional Sequence Processing, International Conference on Machine Learning [ICML], (2018),
129.
Jakub Chłędowski, Stanisław Jastrzębski, Tomasz Wesołowski
128.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
127.
Tomasz Kisielewski, Damian Leśniak
Accidental exploration through value predictors, Schedae Informaticae vol. 27 (2018),
126.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
Three-dimensional descriptors for aminergic GPCRs: dependence on docking conformation and crystal structure, Molecular Diversity vol. vol.23 no.3 (2018), 603-613
125.
On modeling objects using sequence of moment invariants, Lecture Notes in Computer Science (2018), 92-102
124.
Maciej Brzeski, Paweł Gora, Arkadiusz Klemenko, Adrian Kochański, Marcin Możejko
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks, Neurips 2018 Workshop "machine Learning for Intelligent Transportation Systems" (2018),
123.
Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek
Traffic Signal Settings Optimization Using Gradient Descent, Schedae Informaticae vol. 27 (2018), 19-30
122.
Łukasz Maziarka, Jacek Tabor, Bartosz Wójcik
LOSSGRAD: Automatic Learning Rate in Gradient Descent, Schedae Informaticae vol. 27 (2018), 47-57
121.
Image Stitching Based on Entropy Minimization, Schedae Informaticae vol. 27 (2018), 129-141
120.
Sliced generative models, Schedae Informaticae vol. 27 (2018), 69-79
119.
118.
Processing of missing data by neural networks, Advances in Neural Information Processing Systems vol. 31 (2018), 2719-2729
117.
Feature Selection in Texts, Proceedings of the 10th International Conference On Computer Recognition Systems Cores 2017 vol. 578. Advances in Intelligent Systems and Computing (2018), 336-345
116.
Oleksandr Myronov, Marek Śmieja, Jacek Tabor
Semi-supervised discriminative clustering with graph regularization, Knowledge-Based Systems vol. 151 (2018), 24-36
115.
A machine learning approach to synchronization of automata, Expert Systems with Applications vol. 97 (2018), 357-371
114.
Lossy Compression Approach to Subspace Clustering, Information Sciences vol. 435 (2018), 161-183
2017
113.
Krzysztof Misztal, Paweł Morkisz, Agnieszka Pocha
Short review of dimensionality reduction methods for failure detection, Schedae Informaticae vol. 26 (2017), 69-78
112.
Konrad Żołna
Improving the performance of neural networks in regression tasks using drawering, IEEE International Joint Conference on Neural Networks [IJCNN], (2017), 2533-2538
111.
Bartłomiej Romański, Konrad Żołna
User Modeling Using LSTM Networks, National Conference of the American Association for Artificial Intelligence [AAAI], (2017), 5025-5026
110.
Towards Learning Word Representation, Schedae Informaticae vol. 25 (2017), 103–115
109.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Stanisław Jastrzębski
Residual connections encourage iterative inference, International Conference On Learning Algorithms 2018 (2017),
108.
Bernhard C. Geiger, Marek Śmieja
Semi-supervised cross-entropy clustering with information bottleneck constraint, Information Sciences vol. 421 (2017), 245-271
107.
Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński
Deep learning approach to bacterial colony classification, PLoS One vol. 12 (9) (2017), 1-14
106.
Split-and-merge Tweak in Cross Entropy Clustering, Computer Information Systems and Industrial Management: 16th Ifip Tc8 International Conference (2017), 193 - 204
105.
Yoshua Bengio, Bahdanau Dzmitry, Grefenstette Edward, Stanisław Jastrzębski, Vincent Pascal, Bosc Tom
Learning to Compute Word Embeddings On the Fly, Montreal Ai Symposium 2017 (2017),
104.
103.
Regression SVM for incomplete data, Schedae Informaticae vol. 26 (2017), 23-35
102.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Simon Lacoste-Julien, Tegan Maharaj
101.
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak
100.
Rafał Kafel, Marek Śmieja, Dawid Warszycki
99.
Uniform Cross-entropy Clustering, Schedae Informaticae vol. 25 (2017), 117-126
98.
Devansh Arpit, Nicolas Ballas, Aaron Courville, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Tegan Maharaj
Deep Nets Don't Learn via Memorization, International Conference On Learning Representations (workshop Track) (2017),
97.
Andrzej Bojarski, Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska
96.
ICA based on asymmetry, Pattern Recognition vol. 67 (2017), 230-244
95.
Active Function Cross-Entropy Clustering, Expert Systems with Applications vol. 72 (2017), 49–66
94.
93.
R Package CEC , Neurocomputing vol. 237 (2017), 410–413
92.
General Split Gaussian Cross-Entropy Clustering, Expert Systems with Applications vol. 68 (2017), 58–68
91.
2016
90.
89.
Stanisław Jastrzębski, Igor Sieradzki
On Certain Limitations of Recursive Representation Model, Schedae Informaticae vol. 25 (2016), 37-47
88.
Szymon Nakoneczny, Marek Śmieja
Natural language processing methods in biological activity prediction, Proceedings of Ecml Pkdd Workshop On Machine Learning in Life Sciences (2016), 25-36
87.
Szymon Nakoneczny, Marek Śmieja, Jacek Tabor
Fast entropy clustering of sparse high dimensional binary data, Proceednigs of Ieee International Joint Conference On Neural Networks (ijcnn 2016) (2016), 2397-2404
86.
Maximum Likelihood Estimation and Optimal Coordinates, International Conference On Systems Science, 2016 vol. Springer (2016), 3-13
85.
Clustering of Gaussian distributions, 2016 International Joint Conference On Neural Networks (ijcnn) vol. IEEE (2016), 3346-3353
84.
Jakub Hyła, Krzysztof Misztal, Jacek Tabor
Optimal Ellipse Based Algorithm as an Approximate and Robust Solution of Minimum Volume Covering Ellipse Problem, Lecture Notes in Computer Science vol. 9842 (2016), 240-250
83.
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak
Learning to SMILE(S), International Conference On Learning Representations (workshop Track) (2016),
82.
Online Extreme Entropy Machines for Streams Classification and Active Learning, Advances in Intelligent Systems and Computing vol. 403 (2016), 371-381
81.
80.
Marek Śmieja, Dawid Warszycki
Average Information Content Maximization - a new approach for fingerprint hybridization and reduction, PLoS One vol. 11/1 (2016), e0146666
79.
2015
78.
Probability Index of Metric Correspondence as a measure of visualization reliability, Proceedings of Ecml Pkdd Workshop On Machine Learning in Life Sciences (2015), 16-27
77.
Jacek Chudziak, Jacek Tabor, Józef Tabor
Conditionally d-midconvex functions, Aequationes Mathematicae vol. 89 (2015), 981-990
76.
Cross-Entropy based image thresholding, Schedae Informaticae vol. 24 (2015), 21-29
75.
74.
Wojciech Czarnecki, Krzysztof Rataj
Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM, Ieee Trustcom/bigdatase/ispa Proceedings vol. 2 (2015), 192-197
73.
Wojciech Czarnecki, Stanisław Jastrzębski, Sabina Podlewska, Igor Sieradzki
Active Learning of Compounds Activity - Towards Scientifically Sound Simulation of Drug Candidates Identification, Proceedings of 2nd Workshop On Machine Learning in Life Sciences (2015), 40-51
72.
Spherical Wards clustering and generalized Voronoi diagrams, Proceeding of Ieee International Conference On Data Science and Advanced Analytics vol. 36678 (2015), 10
71.
Subspace memory clustering, Schedae Informaticae vol. 24 (2015), 133-142
70.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
Extremely Randomized Machine Learning Methods for Compound Activity Prediction, Molecules vol. 20 (11) (2015), 20107-20117
69.
Wojciech Czarnecki, Rafał Józefowicz
Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features, Jmlr: Workshop and Conference Proceedings vol. 46 (2015), 67-76
68.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
67.
Wojciech Czarnecki, Rafał Józefowicz, Jacek Tabor
66.
Przemysław Spurek, Jacek Tabor, Mateusz Wójcik
Cross-Entropy Clustering Approach to One-Class Classification, Lecture Notes in Computer Science vol. 9119 (2015), 481-490
65.
64.
Entropy approximation in lossy source coding problem, Entropy vol. 17/5 (2015), 3400-3418
63.
62.
Mixture of metrics optimization for machine learning problems, Schedae Informaticae vol. 24 (2015), 133-142
61.
60.
Wojciech Czarnecki, Stanisław Jastrzębski
59.
Wojciech Czarnecki, Rafał Józefowicz
Fast optimization of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 23 (2015), 57–67
58.
On the Consistency of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 24 (2015), 123-132
57.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Smusz, Dawid Warszycki
56.
Weighted approach to general entropy function, IMA Journal of Mathematical Control and Information vol. 32/2 (2015), 329-327
2014
55.
Przemysław Spurek, Elżbieta Zając
Metody analizy mikroskopowych obrazów warstw C-Pd, (2014), "Świat nanotechnologii. Warstwy nanokompozytowe węglowo-palladowe. Badania i technologia", Wydawnictwa Uniwersytetu Warszawskiego
54.
Alena Chaikouskaya, Przemysław Spurek, Jacek Tabor, Elżbieta Zając
A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves, Computer Information Systems and Industrial Management vol. 8838 (2014), 559-570
53.
52.
Adaptive Active Learning as a Multi-armed Bandit Problem, Frontiers in Artificial Intelligence and Applications vol. 263 (2014), 989-990
51.
Expansivity and Cone-fields in Metric Spaces, Journal of Dynamics and Differential Equations vol. 26(3) (2014), 517-527
50.
Two ellipsoid Support Vector Machines, Expert Systems with Applications vol. 41 (18) (2014), 8211-8224
49.
Andrzej Bojarski, Marek Śmieja, Jacek Tabor, Dawid Warszycki
Asymmetric Clustering Index in a case study of 5-HT1A receptor ligands, PLoS One vol. 9(7) (2014), e102069
48.
Cross Entropy Clustering, Pattern Recognition vol. 47 (2014), 3046–3059
47.
Renyi entropy dimension of the mixture of measures, Proceedings of Science and Information Conference (2014), 685-689
46.
Wojciech Czarnecki, Krzysztof Szarzyński, Andrzej Wójtowicz
2013
45.
Stanisław Jastrzębski, Igor Podolak
Density Invariant Detection of Osteoporosis Using Growing Neural Gas, Proceedings of the 8th International Conference On Computer Recognition Systems Cores 2013 vol. Springer International Publishing (2013), 629-638
44.
Krzysztof Misztal, Jacek Tabor, Józef Tabor
Generalized midconvexity, Banach Center Publications vol. 99 (2013), 207-215
43.
Detection of elliptical shapes via cross-entropy clustering, Pattern Recognition and Image Analysis Lecture Notes in Computer Science vol. 7887 (2013), 656-663
42.
Mahalanobis distance-based algorithm for ellipse growing in iris preprocessing, Computer Information Systems and Industrial Management Lecture Notes in Computer Science vol. 8104 (2013), 158-167
41.
40.
Weighted Approach to Projective Clustering, Computer Information Systems and Industrial Management Lecture Notes in Computer Science vol. 8104 (2013), 367-378
39.
Jacek Tabor, Józef Tabor, Marek Żołdak
Strongly Midquasiconvex Functions , Journal of Convex Analysis vol. 20 (2013), 531-543
38.
The memory center, Information Sciences vol. 252 (2013), 132–143
37.
Image segmentation with use of cross-entropy clustering, Advances in Intelligent Systems and Computing vol. 226 (2013), 403-409
36.
Przemysław Spurek, Jacek Tabor, Elżbieta Zając
Detection of Disk-Like Particles in Electron Microscopy Images, Advances in Intelligent Systems and Computing vol. 226 (2013), 411-417
35.
Krzysztof Misztal, Jacek Tabor, Józef Tabor
Midconvexity for finite sets, Journal of Inequalities and Applications vol. 2013 (2013), 1-16
34.
2012
33.
32.
Jacek Tabor, Józef Tabor
Paraconvex, but not strongly, Takagi functions, Control and Cybernetics vol. 41 (2012), 545-559
31.
Appendix A: Semi-Hyperbolicity: Estimations vol. Random and Computational Dynamics 1 (2012), "Phil Diamond, Peter Kloeden, Victor Kozyakin, Alexei Pokrovskii, Semi-Hyperbolicity and Bi-Shadowing", American Institute of Mathematical Sciences
30.
Anna Mureńko, Jacek Tabor, Józef Tabor
29.
28.
Cone-Fields without Constant Orbit Core Dimension, Discrete and Continuous Dynamical Systems vol. 32(10) (2012), 3651-3664
27.
Krzysztof Misztal, Khalid Saeed, Jacek Tabor
A new algorithm for rotation detection in iris pattern recognition, Lecture Notes in Computer Science vol. Computer Information Systems and Industrial Management, Volume 7564/2012 (2012), 135-145
26.
Jakub Bielawski, Jacek Tabor
A t-norm embedding theorem for fuzzy sets, Fuzzy Sets and Systems (2012), 33-53
25.
Krzysztof Misztal, Emil Saeed, Khalid Saeed, Jacek Tabor
Iris Pattern Recognition with a New Mathematical Model to its Rotation Detection vol. 1 (2012), "Biometrics and Kansei Engineering", Springer Verlag (połaczony z Kluwer Academic Publishing)
24.
Krzysztof Misztal, Jacek Tabor, Józef Tabor
Approximately Midconvex Functions vol. Springer Optimization and Its Applications (2012), "Functional Equations in Mathematical Analysis", Springer Verlag (połaczony z Kluwer Academic Publishing)
23.
Entropy of the mixture of source and entropy dimension, IEEE Transactions on Information Theory vol. 58(5) (2012), 2719-2728
2011
22.
Jacek Tabor, Józef Tabor, Marek Żołdak
On w-strongly quasiconvex and w-strongly quasiconcave sequences, Aequationes Mathematicae vol. 82 (2011), 255-268
21.
Anna Mureńko, Jacek Tabor, Józef Tabor
Semiconcave functions with power moduli, Journal of Convex Analysis vol. 18 (2011), 391-396
20.
Tomasz Kułaga, Jacek Tabor
Hyperbolic dynamics in graph-directed IFS, Journal of Differential Equations vol. 251 (2011), 3363-3380
19.
Computational hyperbolicity, Discrete and Continuous Dynamical Systems vol. 29 (2011), 1175-1189
2010
18.
Jacek Tabor, Józef Tabor, Marek Żołdak
Optimality estimations for approximately convex functions, Aequationes Mathematicae vol. 80 (2010), 227-237
17.
Adam Najdecki, Jacek Tabor, Józef Tabor
On conditionally d-convex functions, Acta Mathematica Hungarica vol. 128 (2010), 131-138
16.
Jacek Tabor, Józef Tabor, Marek Żołdak
Approximately convex functions on topological vector spaces, Publicationes Mathematicae vol. 365 (2010), 115-123
15.
Jacek Tabor, Józef Tabor
2009
14.
Jacek Mrowiec, Jacek Tabor, Józef Tabor
Approximately midconvex functions vol. International Series of Numerical Mathematics 157 (2009), "Inequalities and Applications", Birkhäuser
13.
Anna Mureńko, Jacek Tabor, Józef Tabor
On characterizations of sup-preserving functionals, Acta Mathematica Hungarica vol. 12 (2009), 161-172
12.
Jacek Tabor, Józef Tabor
Takagi functions and approximate midconvexity, Journal of Mathematical Analysis and Applications vol. 356 (2009), 729-737
11.
Jacek Tabor, Józef Tabor
Characterization of convex functions, Studia Mathematica vol. 192 (2009), 29-37
10.
Jacek Tabor, Józef Tabor
Generalized approximate midconvexity, Control and Cybernetics vol. 38 (2009), 655-669
9.
Jakub Bielawski, Jacek Tabor
An embedding theorem for unbounded convex sets in a Banach space, Demonstratio Mathematica vol. 42(4) (2009), 703-709
2008
8.
Stability of isometries in p-Banach spaces, Functiones et Approximatio, Commentarii Mathematici vol. 38 (2008), 109-119
7.
Jacek Tabor, Józef Tabor
Stability of the Cauchy functional equations in metric groupoids, Aequationes Mathematicae vol. 76 (2008), 92-104
6.
Restricted stability and shadowing, Publicationes Mathematicae vol. 73 (2008), 49-58
5.
2002
4.
Bogdan Batko, Zygfryd Kominek, Jacek Tabor
Generalized norms and convexity, Publicationes Mathematicae vol. 60.1-2 (2002), 63-73
3.
Iterative functional equations in the class of Lipschitz functions, Aequationes Mathematicae vol. 64, no. 1-2 (2002), 24-33
1999
2.
Stability of an alternative Cauchy equation on a restricted, Aequationes Mathematicae vol. 57 (1999), 221-232
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