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:

88.
Krzysztof Hajto, Marek Śmieja, Jacek Tabor
Efficient mixture model for clustering of sparse high dimensional binary data, (2019), 42
87.
Łukasz Struski, Marek Śmieja, Jacek Tabor
Pointed subspace approach to incomplete data, J CLASSIF (2019), 16
86.
Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor
Projected memory clustering, PATTERN RECOGN LETT vol. 123 (2019), 9-15
85.
Krzysztof Byrski, Przemysław Spurek, Jacek Tabor
Online updating of active function cross-entropy clustering, PATTERN ANAL APPL (2019), 1--17
84.
Przemysław Spurek, Marek Śmieja, Jacek Tabor
SVM with a neutral class, PATTERN ANAL APPL vol. 22/2 (2019), 573-582
83.
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 (2018),
82.
Łukasz Maziarka, Jacek Tabor, Bartosz Wójcik
LOSSGRAD: Automatic Learning Rate in Gradient Descent, SCHEDAE INFORMATICAE (2018),
81.
Krzysztof Misztal, Przemysław Spurek, Jacek Tabor
Image Stitching Based on Entropy Minimization, SCHEDAE INFORMATICAE (2018),
80.
Szymon Knop, Marcin Mazur, Igor Podolak, Przemysław Spurek, Jacek Tabor
Sliced generative models, SCHEDAE INFORMATICAE vol. 27 (2018),
79.
Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor
Fast independent component analysis algorithm with a simple closed-form solution, KNOWL-BASED SYST vol. 161 (2018), 26-34
78.
Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS vol. 31 (2018), 2719--2729
77.
Oleksandr Myronov, Marek Śmieja, Jacek Tabor
Semi-supervised discriminative clustering with graph regularization, KNOWL-BASED SYST vol. 151 (2018), 24-36
76.
Przemysław Spurek, Łukasz Struski, Jacek Tabor
Lossy Compression Approach to Subspace Clustering, INFORM SCIENCES vol. 435 (2018), 161-183
75.
Łukasz Struski, Marek Śmieja, Jacek Tabor
Pointed subspace approach to incomplete data., J CLASSIF (2017), 1-16
74.
Łukasz Struski, Jacek Tabor
Expansivity implies existence of Holder continuous Lyapunov function, DISCRETE CONT DYN-B vol. 22 (9) (2017), 3575-3589
73.
Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
Regression SVM for incomplete data, SCHEDAE INFORMATICAE (2017),
72.
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, ARXIV (2017),
71.
Michał Ociepka, Przemysław Rola, Przemysław Spurek, Jacek Tabor
ICA based on asymmetry, PATTERN RECOGN vol. 67 (2017), 230-244
70.
Krzysztof Byrski, Przemysław Spurek, Jacek Tabor
Active Function Cross-Entropy Clustering, EXPERT SYST APPL vol. 72 (2017), 49–66
69.
Konrad Kamieniecki, Krzysztof Misztal, Przemysław Spurek, Marek Śmieja, Jacek Tabor
R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413
68.
Łukasz Struski, Marek Śmieja, Jacek Tabor
Semi-supervised model-based clustering with controlled clusters leakage, EXPERT SYST APPL vol. 85 (2016), 146-157
67.
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
66.
Przemysław Spurek, Jacek Tabor
Maximum Likelihood Estimation and Optimal Coordinates, INTERNATIONAL CONFERENCE ON SYSTEMS SCIENCE, 2016 vol. Springer (2016), 3-13
65.
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
64.
Wojciech Czarnecki, Jacek Tabor
Online Extreme Entropy Machines for Streams Classification and Active Learning, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 403 (2016), 371-381
63.
Krzysztof Misztal, Michał Podgórski, Przemysław Spurek, Jacek Tabor, Arkadiusz Tomczyk
Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation, LECTURE NOTES IN COMPUTER SCIENCE vol. 403 (2016), 159-168
62.
Krzysztof Misztal, Jacek Tabor
Ellipticity and circularity measuring via Kullback-Leibler divergence, J MATH IMAGING VIS vol. 55 (1) (2016), 136-150
61.
Marek Śmieja, Jacek Tabor, Magdalena Wiercioch
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
60.
Jacek Chudziak, Jacek Tabor, Józef Tabor
Conditionally d-midconvex functions, AEQUATIONES MATH vol. 89 (2015), 981-990
59.
Mateusz Malik, Przemysław Spurek, Jacek Tabor
Cross-Entropy based image thresholding, SCHEDAE INFORMATICAE vol. 24 (2015), 21-29
58.
Krzysztof Misztal, Emil Saeed, Khalid Saeed, Przemysław Spurek, Jacek Tabor
Cross entropy clustering approach to iris segmentation for biometrics purpose, SCHEDAE INFORMATICAE vol. 24 (2015), 31-40
57.
Marek Śmieja, Jacek Tabor
Spherical Wards clustering and generalized Voronoi diagrams, PROCEEDING OF IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS vol. 36678 (2015), 10
56.
Przemysław Spurek, Łukasz Struski, Jacek Tabor
Subspace memory clustering, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
55.
Wojciech Czarnecki, Rafał Józefowicz, Jacek Tabor
Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 9284 (2015), 52-67
54.
Wojciech Czarnecki, Jacek Tabor
Extreme entropy machines: robust information theoretic classification, PATTERN ANAL APPL (2015), 1-18
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.
Marek Śmieja, Jacek Tabor
Entropy approximation in lossy source coding problem, ENTROPY-SWITZ vol. 17/5 (2015), 3400-3418
51.
Marek Śmieja, Magdalena Wiercioch
Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
50.
Wojciech Czarnecki, Jacek Tabor
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.
Łukasz Struski, Jacek Tabor
Expansivity and Cone-fields in Metric Spaces, J DYN DIFFER EQU vol. 26(3) (2014), 517-527
47.
Wojciech Czarnecki, Jacek Tabor
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.
Przemysław Spurek, Jacek Tabor
Cross Entropy Clustering, PATTERN RECOGN vol. 47 (2014), 3046–3059
44.
Marek Śmieja, Jacek Tabor
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.
Krzysztof Misztal, Jacek Tabor
Detection of elliptical shapes via cross-entropy clustering, PATTERN RECOGNITION AND IMAGE ANALYSIS LECTURE NOTES IN COMPUTER SCIENCE vol. 7887 (2013), 656-663
41.
Krzysztof Misztal, Jacek Tabor
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.
Krzysztof Misztal, Przemysław Spurek, Jacek Tabor
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.
Przemysław Spurek, Jacek Tabor
The memory center, INFORM SCIENCES vol. 252 (2013), 132–143
37.
Marek Śmieja, Jacek Tabor
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.
Krzysztof Misztal, Jacek Tabor
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.
Piotr Kościelniak, Marcin Mazur, Jacek Tabor
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.
Przemysław Spurek, Jacek Tabor
Numerical verification of condition for approximately midconvex functions, AEQUATIONES MATH vol. 83 (2012), 223-237
29.
Tomasz Kulaga, Łukasz Struski, Jacek Tabor
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.
Marek Śmieja, Jacek Tabor
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.
Marcin Mazur, Jacek Tabor
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.
Jacek Tabor
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.
Jacek Tabor
Restricted stability and shadowing, PUBL MATH-DEBRECEN vol. 73 (2008), 49-58
6.
Piotr Kościelniak, Marcin Mazur, Jacek Tabor
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.
Marcin Kulczycki, Jacek Tabor
Iterative functional equations in the class of Lipschitz functions, AEQUATIONES MATH vol. 64, no. 1-2 (2002), 24-33
3.
Bogdan Batko, Jacek Tabor
Stability of an alternative Cauchy equation on a restricted, AEQUATIONES MATH vol. 57 (1999), 221-232
2.
Bogdan Batko, Jacek Tabor
Stability of the generalized alternative Cauchy equation , ABH MATH SEM HAMBURG vol. 69 (1999), 67-73
1.
Marcin Mazur, Kinga Stolot, Jacek Tabor
Semi-hyperbolicity implies hyperbolicity in the linear case, UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA vol. 36 (1998), 121-126

Konferencje organizowane:

2.
Jacek Tabor.
Deep Learning Workshops, Kraków, 2018-02-20, 2018-02-23
1.
Jacek Tabor.
Theoretical Foundations of Machine Learning (TFML 2019) , Kraków, 2019-02-11, 2019-02-15

Doktoranci (po 27 października 2003 roku)

DoktorantOtwarcieZakonczenie
Krzysztof Misztal2011-05-262015-04-30
Jakub Bielawski2010-06-242013-04-25
Przemysław Spurek2012-05-312014-06-26
Łukasz Struski2012-05-312014-01-30
Łukasz Struski2013-03-28 
Marek Śmieja2013-06-272015-01-29
Tomasz Kulaga2009-06-252012-10-25
Wojciech Czarnecki2014-06-262015-12-17
Magdalena Wiercioch2016-06-30 
Stanisław Jastrzębski2017-06-292019-03-28
Agnieszka Pocha2018-09-27 

Recenzje (po 27 października 2003 roku)

RecenzowanyJednostkaTreść recenzji
Doktorat: Krzysztof WesołowskiKatedra Teorii Aproksymacji 
Doktorat: Natalia ŻelaznaKatedra Matematyki Obliczeniowej 

Granty (realizowane po maju 2009 roku)

TytułRolaRozpoczęcieZakończenie
Sztuczne sieci neuronowe inspirowane biologicznieKierownik2019-09-012023-08-31
Efektywne metody uczenia nienadzorowanego z zastosowaniami w głębokim nauczaniuKierownik2018-02-092021-02-08
Teoria analizy niekompletnych danychKierownik2016-07-132019-10-12
Paradygmat minimalizacji pamięci w klastrowaniuKierownik2015-01-212017-08-26
Uogólnienie entropii i wymiaru entropijnego oraz ich zastosowaniaKierownik2011-12-082014-12-07