prof. dr hab. Jacek Tabor
Jednostki:
- Wydział Matematyki i Informatyki UJ
- Instytut Informatyki i Matematyki Komputerowej
- Katedra Uczenia Maszynowego
Habilitacja Otwarcie: 2006-04-27, Zamknięcie: 2008-06-05
Profesura Otwarcie: 2013-05-23, Zamknięcie: 2015-07-17
Publikacje:
107.
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2021),
106.
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING [KDD], (2021),
105.
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning, IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION [WACV], (2021),
104.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Agnieszka Pocha, Sabina Podlewska, Maciej Szymczak, Jacek Tabor
103.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS [ESANN], (2020), 6
102.
Tomasz Danel, Łukasz Maziarka, Agnieszka Słowik, Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor
Spatial Graph Convolutional Networks, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
101.
Non-linear ICA based on Cramer-Wold metric, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Lecture Notes in Computer Science book series (LNCS, volume 12534) (2020),
100.
Zięba Maciej , Przemysław Spurek, Jacek Tabor, Tomasz Trzciński, Sebastian Winczowski, Maciej Zamorski
Hypernetwork approach to generating point clouds, INTERNATIONAL CONFERENCE ON MACHINE LEARNING [ICML](MAIN), (2020),
99.
98.
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),
97.
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),
96.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Agnieszka Pocha, Sabina Podlewska, Maciej Szymczak, Jacek Tabor
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening, J CHEM INF MODEL vol. 60 (2020), 4246-4262
95.
Cramer-Wold Auto-Encoder, J MACH LEARN RES vol. 21 (2020), 1-28
94.
Flow-based SVDD for anomaly detection, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
93.
Pointed subspace approach to incomplete data, J CLASSIF vol. 37 (2020), 42-57
92.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
91.
Generalized RBF kernel for incomplete data, KNOWL-BASED SYST vol. 173 (2019), 150-162
90.
89.
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
88.
Molecule-Augmented Attention Transformer, NEURAL INFORMATION PROCESSING SYSTEMS (WORKSHOP TRACK) (2019),
87.
Hypernetwork Functional Image Representation, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 496-510
86.
Efficient mixture model for clustering of sparse high dimensional binary data, DATA MIN KNOWL DISC vol. 33/6 (2019), 1583--1624
85.
Projected memory clustering, PATTERN RECOGN LETT vol. 123 (2019), 9-15
84.
Online updating of active function cross-entropy clustering, PATTERN ANAL APPL vol. vol. 22 no. 4 (2019), 1409-1425
83.
SVM with a neutral class, PATTERN ANAL APPL vol. 22/2 (2019), 573-582
82.
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, MOL DIVERS vol. vol.23 no.3 (2018), 603-613
81.
Łukasz Maziarka, Jacek Tabor, Bartosz Wójcik
LOSSGRAD: Automatic Learning Rate in Gradient Descent, SCHEDAE INFORMATICAE vol. 27 (2018), 47-57
80.
79.
Sliced generative models, SCHEDAE INFORMATICAE vol. 27 (2018), 69-79
78.
77.
Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS vol. 31 (2018), 2719--2729
76.
Oleksandr Myronov, Marek Śmieja, Jacek Tabor
Semi-supervised discriminative clustering with graph regularization, KNOWL-BASED SYST vol. 151 (2018), 24-36
75.
Lossy Compression Approach to Subspace Clustering, INFORM SCIENCES vol. 435 (2018), 161-183
74.
Expansivity implies existence of Holder continuous Lyapunov function, DISCRETE CONT DYN-B vol. 22 (9) (2017), 3575-3589
73.
Regression SVM for incomplete data, SCHEDAE INFORMATICAE vol. 26 (2017), 23-35
72.
71.
ICA based on asymmetry, PATTERN RECOGN vol. 67 (2017), 230-244
70.
Active Function Cross-Entropy Clustering, EXPERT SYST APPL vol. 72 (2017), 49–66
69.
R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413
68.
Extreme entropy machines: robust information theoretic classification, PATTERN ANAL APPL vol. 20 (2017), 383–400
67.
Semi-supervised model-based clustering with controlled clusters leakage, EXPERT SYST APPL vol. 85 (2016), 146-157
66.
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
65.
Maximum Likelihood Estimation and Optimal Coordinates, INTERNATIONAL CONFERENCE ON SYSTEMS SCIENCE, 2016 vol. Springer (2016), 3-13
64.
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
63.
Online Extreme Entropy Machines for Streams Classification and Active Learning, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 403 (2016), 371-381
62.
61.
Ellipticity and circularity measuring via Kullback-Leibler divergence, J MATH IMAGING VIS vol. 55 (1) (2016), 136-150
60.
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
59.
Jacek Chudziak, Jacek Tabor, Józef Tabor
Conditionally d-midconvex functions, AEQUATIONES MATH vol. 89 (2015), 981-990
58.
Cross-Entropy based image thresholding, SCHEDAE INFORMATICAE vol. 24 (2015), 21-29
57.
56.
Spherical Wards clustering and generalized Voronoi diagrams, PROCEEDING OF IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS vol. 36678 (2015), 10
55.
Subspace memory clustering, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
54.
Wojciech Czarnecki, Rafał Józefowicz, Jacek Tabor
53.
Przemysław Spurek, Jacek Tabor, Mateusz Wójcik
Cross-Entropy Clustering Approach to One-Class Classification, LECTURE NOTES IN COMPUTER SCIENCE vol. 9119 (2015), 481-490
52.
Entropy approximation in lossy source coding problem, ENTROPY-SWITZ vol. 17/5 (2015), 3400-3418
51.
Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
50.
Multithreshold Entropy Linear Classifier: Theory and Applications, EXPERT SYST APPL vol. 42 (2015), 5591-5606
49.
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
48.
Expansivity and Cone-fields in Metric Spaces, J DYN DIFFER EQU vol. 26(3) (2014), 517-527
47.
Two ellipsoid Support Vector Machines, EXPERT SYST APPL vol. 41 (18) (2014), 8211-8224
46.
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
45.
Cross Entropy Clustering, PATTERN RECOGN vol. 47 (2014), 3046–3059
44.
Renyi entropy dimension of the mixture of measures, PROCEEDINGS OF SCIENCE AND INFORMATION CONFERENCE (2014), 685-689
43.
Krzysztof Misztal, Jacek Tabor, Józef Tabor
Generalized midconvexity, BANACH CENTER PUBLICATIONS vol. 99 (2013), 207-215
42.
Detection of elliptical shapes via cross-entropy clustering, PATTERN RECOGNITION AND IMAGE ANALYSIS LECTURE NOTES IN COMPUTER SCIENCE vol. 7887 (2013), 656-663
41.
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
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 , J CONVEX ANAL vol. 20 (2013), 531-543
38.
The memory center, INFORM 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, J INEQUAL APPL vol. 2013 (2013), 1-16
34.
Strict verification of approximate midconvexity on non-convex sets, MATH INEQUAL APPL vol. 16 (2013), 389–400
33.
Jacek Tabor, Józef Tabor
Paraconvex, but not strongly, Takagi functions, CONTROL CYBERN vol. 41 (2012), 545-559
32.
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
31.
Anna Mureńko, Jacek Tabor, Józef Tabor
Applications of de Rham theorem in approximate midconvexity, J DIFFER EQU APPL vol. 18 (2012), 335-344
30.
29.
Cone-Fields without Constant Orbit Core Dimension, DISCRETE CONT DYN-A vol. 32(10) (2012), 3651-3664
28.
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
27.
Jakub Bielawski, Jacek Tabor
A t-norm embedding theorem for fuzzy sets, FUZZY SET SYST (2012), 33-53
26.
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)
25.
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)
24.
Entropy of the mixture of source and entropy dimension, IEEE T INFORM THEORY vol. 58(5) (2012), 2719-2728
23.
Jacek Tabor, Józef Tabor, Marek Żołdak
On w-strongly quasiconvex and w-strongly quasiconcave sequences, AEQUATIONES MATH vol. 82 (2011), 255-268
22.
Anna Mureńko, Jacek Tabor, Józef Tabor
Semiconcave functions with power moduli, J CONVEX ANAL vol. 18 (2011), 391-396
21.
Tomasz Kułaga, Jacek Tabor
Hyperbolic dynamics in graph-directed IFS, J DIFFER EQUATIONS vol. 251 (2011), 3363-3380
20.
Computational hyperbolicity, DISCRETE CONT DYN-A vol. 29 (2011), 1175-1189
19.
Jacek Tabor, Józef Tabor, Marek Żołdak
Optimality estimations for approximately convex functions, AEQUATIONES MATH vol. 80 (2010), 227-237
18.
Adam Najdecki, Jacek Tabor, Józef Tabor
On conditionally d-convex functions, ACTA MATH HUNG vol. 128 (2010), 131-138
17.
Jacek Tabor, Józef Tabor, Marek Żołdak
Approximately convex functions on topological vector spaces, PUBL MATH-DEBRECEN vol. 365 (2010), 115-123
16.
Jacek Tabor, Józef Tabor
Extensions of convex and semiconvex functions and intervally thin sets, J MATH ANAL APPL vol. 365 (2010), 43-49
15.
Jacek Mrowiec, Jacek Tabor, Józef Tabor
Approximately midconvex functions vol. International Series of Numerical Mathematics 157 (2009), "Inequalities and Applications", Birkhäuser
14.
Anna Mureńko, Jacek Tabor, Józef Tabor
On characterizations of sup-preserving functionals, ACTA MATH HUNG vol. 12 (2009), 161-172
13.
Jacek Tabor, Józef Tabor
Takagi functions and approximate midconvexity, J MATH ANAL APPL vol. 356 (2009), 729-737
12.
Jacek Tabor, Józef Tabor
Characterization of convex functions, STUD MATH vol. 192 (2009), 29-37
11.
Jacek Tabor, Józef Tabor
Generalized approximate midconvexity, CONTROL CYBERN vol. 38 (2009), 655-669
10.
Jakub Bielawski, Jacek Tabor
An embedding theorem for unbounded convex sets in a Banach space, DEMONSTRATIO MATHEMATICA vol. 42(4) (2009), 703-709
9.
Stability of isometries in p-Banach spaces, FUNCTIONES ET APPROXIMATIO, COMMENTARII MATHEMATICI vol. 38 (2008), 109-119
8.
Jacek Tabor, Józef Tabor
Stability of the Cauchy functional equations in metric groupoids, AEQUATIONES MATH vol. 76 (2008), 92-104
7.
Restricted stability and shadowing, PUBL MATH-DEBRECEN vol. 73 (2008), 49-58
6.
Semi-hyperbolicity and hyperbolicity, DISCRETE CONT DYN-A (2008), 1029-1038
5.
Bogdan Batko, Zygfryd Kominek, Jacek Tabor
Generalized norms and convexity, PUBL MATH-DEBRECEN vol. 60.1-2 (2002), 63-73
4.
Iterative functional equations in the class of Lipschitz functions, AEQUATIONES MATH vol. 64, no. 1-2 (2002), 24-33
3.
Stability of an alternative Cauchy equation on a restricted, AEQUATIONES MATH vol. 57 (1999), 221-232
2.
Stability of the generalized alternative Cauchy equation , ABH MATH SEM HAMBURG vol. 69 (1999), 67-73
1.
Semi-hyperbolicity implies hyperbolicity in the linear case, UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA vol. 36 (1998), 121-126
Konferencje organizowane:
2.
Deep Learning Workshops, Kraków, 2018-02-20, 2018-02-23
1.
Theoretical Foundations of Machine Learning (TFML 2019) , Kraków, 2019-02-11, 2019-02-15
Doktoranci (po 27 października 2003 roku)
| Doktorant | Otwarcie | Zakonczenie |
|---|---|---|
| Krzysztof Misztal | 2011-05-26 | 2015-04-30 |
| Jakub Bielawski | 2010-06-24 | 2013-04-25 |
| Przemysław Spurek | 2012-05-31 | 2014-06-26 |
| Łukasz Struski | 2012-05-31 | 2014-01-30 |
| Łukasz Struski | 2013-03-28 | 2014-01-30 |
| Marek Śmieja | 2013-06-27 | 2015-01-29 |
| Tomasz Kulaga | 2009-06-25 | 2012-10-25 |
| Wojciech Czarnecki | 2014-06-26 | 2015-12-17 |
| Magdalena Wiercioch | 2016-06-30 | |
| Stanisław Jastrzębski | 2017-06-29 | 2019-03-28 |
| Agnieszka Pocha | 2018-09-27 |
Recenzje (po 27 października 2003 roku)
| Recenzowany | Jednostka | Treść recenzji |
|---|---|---|
| Doktorat: Krzysztof Wesołowski | Katedra Teorii Aproksymacji | |
| Doktorat: Natalia Żelazna | Katedra Matematyki Obliczeniowej |
Granty (realizowane po maju 2009 roku)
| Tytuł | Rola | Rozpoczęcie | Zakończenie |
|---|---|---|---|
| Sztuczne sieci neuronowe inspirowane biologicznie | Kierownik | 2019-09-01 | 2023-08-31 |
| Efektywne metody uczenia nienadzorowanego z zastosowaniami w głębokim nauczaniu | Kierownik | 2018-02-09 | 2021-02-08 |
| Teoria analizy niekompletnych danych | Kierownik | 2016-07-13 | 2019-10-12 |
| Paradygmat minimalizacji pamięci w klastrowaniu | Kierownik | 2015-01-21 | 2017-08-26 |
| Uogólnienie entropii i wymiaru entropijnego oraz ich zastosowania | Kierownik | 2011-12-08 | 2014-12-07 |