Jacek Tabor

According to our database, Jacek Tabor authored at least 131 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Relative molecule self-attention transformer.

Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski

J. Cheminformatics, December, 2024

ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting.

Georgii Stanishevskii, Jakub Steczkiewicz, Tomasz Szczepanik, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek

CoRR, 2024

GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting.

Joanna Waczynska, Piotr Borycki, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek

CoRR, 2024

Face Identity-Aware Disentanglement in StyleGAN.

Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations.

Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Zero time waste in pre-trained early exit neural networks.

Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski

Neural Networks, November, 2023

The general framework for few-shot learning by kernel HyperNetworks.

Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek

Mach. Vis. Appl., July, 2023

Gaussian Splatting with NeRF-based Color and Opacity.

Dawid Malarz, Weronika Smolak, Jacek Tabor, Slawomir Konrad Tadeja, Przemyslaw Spurek

CoRR, 2023

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy.

Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor

CoRR, 2023

Augmentation-aware Self-supervised Learning with Guided Projector.

Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja

CoRR, 2023

MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation.

Dominik Zimny, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek

CoRR, 2023

Gaussian model for closed curves.

Krzysztof Byrski, Przemyslaw Spurek, Jacek Tabor

CoRR, 2023

NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering.

Wojciech Zajac, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek

CoRR, 2023

SONGs: Self-Organizing Neural Graphs.

Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

HyperShot: Few-Shot Learning by Kernel HyperNetworks.

Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts.

Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Contrastive Hierarchical Clustering.

Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Hypernetworks Build Implicit Neural Representations of Sounds.

Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

ChiENN: Embracing Molecular Chirality with Graph Neural Networks.

Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training.

Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

r-softmax: Generalized Softmax with Controllable Sparsity Rate.

Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor

Proceedings of the Computational Science - ICCS 2023, 2023

ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging.

Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models.

Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

ProPML: Probability Partial Multi-label Learning.

Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Bounding Evidence and Estimating Log-Likelihood in VAE.

Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

General Hypernetwork Framework for Creating 3D Point Clouds.

Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski

IEEE Trans. Pattern Anal. Mach. Intell., 2022

OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region.

Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generative models with kernel distance in data space.

Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak

Neurocomputing, 2022

LocoGAN - Locally convolutional GAN.

Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor

Comput. Vis. Image Underst., 2022

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks.

Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

CoRR, 2022

Hypernetwork approach to Bayesian MAML.

Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek

CoRR, 2022

ProPaLL: Probabilistic Partial Label Learning.

Lukasz Struski, Jacek Tabor, Bartosz Zielinski

CoRR, 2022

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks.

Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek

CoRR, 2022

SLOVA: Uncertainty estimation using single label one-vs-all classifier.

Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor

Appl. Soft Comput., 2022

MisConv: Convolutional Neural Networks for Missing Data.

Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

HyperPocket: Generative Point Cloud Completion.

Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Nonlinear Weighted Independent Component Analysis.

Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Continual Learning with Guarantees via Weight Interval Constraints.

Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek

Proceedings of the International Conference on Machine Learning, 2022

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood.

Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski

Proceedings of the International Conference on Machine Learning, 2022

Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders.

Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Weakly-Supervised Cell Classification for Effective High Content Screening.

Adriana Borowa, Szczepan Kruczek, Jacek Tabor, Bartosz Zielinski

Proceedings of the Computational Science - ICCS 2022, 2022

Interpretable Image Classification with Differentiable Prototypes Assignment.

Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SeGMA: Semi-Supervised Gaussian Mixture Autoencoder.

Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger

IEEE Trans. Neural Networks Learn. Syst., 2021

Convex hull of a fuzzy set and triangular norms.

Jakub Bielawski, Jacek Tabor

Fuzzy Sets Syst., 2021

Flow-based SVDD for anomaly detection.

Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor

CoRR, 2021

SONG: Self-Organizing Neural Graphs.

Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski

CoRR, 2021

Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning.

Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Direction is what you need: Improving Word Embedding Compression in Large Language Models.

Klaudia Balazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks.

Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.

Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification.

Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction.

Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka

Proceedings of the International Joint Conference on Neural Networks, 2021

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders.

Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Cramer-Wold Auto-Encoder.

Szymon Knop, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski

J. Mach. Learn. Res., 2020

Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening.

Stanislaw Jastrzebski, Maciej Szymczak, Agnieszka Pocha, Stefan Mordalski, Jacek Tabor, Andrzej J. Bojarski, Sabina Podlewska

J. Chem. Inf. Model., 2020

RegFlow: Probabilistic Flow-based Regression for Future Prediction.

Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek

CoRR, 2020

ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery.

Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski

CoRR, 2020

Flow-based anomaly detection.

Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek

CoRR, 2020

HyperFlow: Representing 3D Objects as Surfaces.

Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski

CoRR, 2020

Kernel Self-Attention in Deep Multiple Instance Learning.

Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski

CoRR, 2020

Molecule Attention Transformer.

Lukasz Maziarka, Tomasz Danel, Slawomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanislaw Jastrzebski

CoRR, 2020

WICA: nonlinear weighted ICA.

Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor

CoRR, 2020

Pointed Subspace Approach to Incomplete Data.

Lukasz Struski, Marek Smieja, Jacek Tabor

J. Classif., 2020

Finding the Optimal Network Depth in Classification Tasks.

Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Non-linear ICA Based on Cramer-Wold Metric.

Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Spatial Graph Convolutional Networks.

Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Hypernetwork approach to generating point clouds.

Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski

Proceedings of the 37th International Conference on Machine Learning, 2020

The Break-Even Point on Optimization Trajectories of Deep Neural Networks.

Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras

Proceedings of the 8th International Conference on Learning Representations, 2020

Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models.

Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Projected memory clustering.

Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja

Pattern Recognit. Lett., 2019

Online updating of active function cross-entropy clustering.

Przemyslaw Spurek, Krzysztof Byrski, Jacek Tabor

Pattern Anal. Appl., 2019

SVM with a neutral class.

Marek Smieja, Jacek Tabor, Przemyslaw Spurek

Pattern Anal. Appl., 2019

Generalized RBF kernel for incomplete data.

Marek Smieja, Lukasz Struski, Jacek Tabor, Mateusz Marzec

Knowl. Based Syst., 2019

Development of New Methods Needs Proper Evaluation - Benchmarking Sets for Machine Learning Experiments for Class A GPCRs.

Damian Lesniak, Sabina Podlewska, Stanislaw Jastrzebski, Igor Sieradzki, Andrzej J. Bojarski, Jacek Tabor

J. Chem. Inf. Model., 2019

Efficient mixture model for clustering of sparse high dimensional binary data.

Marek Smieja, Krzysztof Hajto, Jacek Tabor

Data Min. Knowl. Discov., 2019

Biologically-Inspired Spatial Neural Networks.

Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke

CoRR, 2019

Geometric Graph Convolutional Neural Networks.

Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka

CoRR, 2019

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder.

Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger

CoRR, 2019

Independent Component Analysis based on multiple data-weighting.

Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor

CoRR, 2019

One-element Batch Training by Moving Window.

Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik

CoRR, 2019

Interpolation in generative models.

Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak

CoRR, 2019

Multi-task hypernetworks.

Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak

CoRR, 2019

LOSSGRAD: automatic learning rate in gradient descent.

Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor

CoRR, 2019

Sliced generative models.

Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek

CoRR, 2019

Set Aggregation Network as a Trainable Pooling Layer.

Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Hypernetwork Functional Image Representation.

Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function.

Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Fast independent component analysis algorithm with a simple closed-form solution.

Przemyslaw Spurek, Jacek Tabor, Lukasz Struski, Marek Smieja

Knowl. Based Syst., 2018

Semi-supervised discriminative clustering with graph regularization.

Marek Smieja, Oleksandr Myronov, Jacek Tabor

Knowl. Based Syst., 2018

Lossy compression approach to subspace clustering.

Lukasz Struski, Jacek Tabor, Przemyslaw Spurek

Inf. Sci., 2018

Deep processing of structured data.

Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek

CoRR, 2018

Cramer-Wold AutoEncoder.

Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski

CoRR, 2018

Cascade context encoder for improved inpainting.

Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor

CoRR, 2018

Processing of missing data by neural networks.

Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

ICA based on asymmetry.

Przemyslaw Spurek, Jacek Tabor, Przemyslaw Rola, M. Ociepka

Pattern Recognit., 2017

Extreme entropy machines: robust information theoretic classification.

Wojciech Marian Czarnecki, Jacek Tabor

Pattern Anal. Appl., 2017

R Package CEC.

Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja

Neurocomputing, 2017

Active function Cross-Entropy Clustering.

Przemyslaw Spurek, Jacek Tabor, Krzysztof Byrski

Expert Syst. Appl., 2017

Semi-supervised model-based clustering with controlled clusters leakage.

Marek Smieja, Lukasz Struski, Jacek Tabor

Expert Syst. Appl., 2017

2016

Ellipticity and Circularity Measuring via Kullback-Leibler Divergence.

Krzysztof Misztal, Jacek Tabor

J. Math. Imaging Vis., 2016

Incomplete data representation for SVM classification.

Lukasz Struski, Marek Smieja, Jacek Tabor

CoRR, 2016

Fast Entropy Clustering of sparse high dimensional binary data.

Marek Smieja, Szymon Nakoneczny, Jacek Tabor

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Optimal Ellipse Based Algorithm as an Approximate and Robust Solution of Minimum Volume Covering Ellipse Problem.

Krzysztof Misztal, Jacek Tabor, Jakub Hyla

Proceedings of the Computer Information Systems and Industrial Management, 2016

2015

Multithreshold Entropy Linear Classifier: Theory and applications.

Wojciech Marian Czarnecki, Jacek Tabor

Expert Syst. Appl., 2015

Entropy Approximation in Lossy Source Coding Problem.

Marek Smieja, Jacek Tabor

Entropy, 2015

Introduction to Cross-Entropy Clustering The R Package CEC.

Jacek Tabor, Przemyslaw Spurek, Konrad Kamieniecki, Marek Smieja, Krzysztof Misztal

CoRR, 2015

Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation.

Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cross-Entropy Clustering Approach to One-Class Classification.

Przemyslaw Spurek, Mateusz Wójcik, Jacek Tabor

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Spherical wards clustering and generalized Voronoi diagrams.

Marek Smieja, Jacek Tabor

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation.

Arkadiusz Tomczyk, Przemyslaw Spurek, Michal Podgórski, Krzysztof Misztal, Jacek Tabor

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Online Extreme Entropy Machines for Streams Classification and Active Learning.

Wojciech Marian Czarnecki, Jacek Tabor

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

Cross-entropy clustering.

Jacek Tabor, Przemyslaw Spurek

Pattern Recognit., 2014

Two ellipsoid Support Vector Machines.

Wojciech Marian Czarnecki, Jacek Tabor

Expert Syst. Appl., 2014

Cluster based RBF Kernel for Support Vector Machines.

Wojciech Marian Czarnecki, Jacek Tabor

CoRR, 2014

Multithreshold Entropy Linear Classifier.

Wojciech Marian Czarnecki, Jacek Tabor

CoRR, 2014

A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves.

Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac

Proceedings of the Computer Information Systems and Industrial Management, 2014

2013

The memory center.

Przemyslaw Spurek, Jacek Tabor

Inf. Sci., 2013

Detection of Elliptical Shapes via Cross-Entropy Clustering.

Jacek Tabor, Krzysztof Misztal

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Detection of Disk-Like Particles in Electron Microscopy Images.

Przemyslaw Spurek, Jacek Tabor, Elzbieta Zajac

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Image Segmentation with Use of Cross-Entropy Clustering.

Marek Smieja, Jacek Tabor

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Weighted Approach to Projective Clustering.

Przemyslaw Spurek, Jacek Tabor, Krzysztof Misztal

Proceedings of the Computer Information Systems and Industrial Management, 2013

Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing.

Krzysztof Misztal, Jacek Tabor

Proceedings of the Computer Information Systems and Industrial Management, 2013

2012

Entropy of the Mixture of Sources and Entropy Dimension.

Marek Smieja, Jacek Tabor

IEEE Trans. Inf. Theory, 2012

A t-norm embedding theorem for fuzzy sets.

Jakub Bielawski, Jacek Tabor

Fuzzy Sets Syst., 2012

Strict localization of eigenvectors and eigenvalues

Lukasz Struski, Jacek Tabor

CoRR, 2012

The memory centre

Przemyslaw Spurek, Jacek Tabor

CoRR, 2012

Partition Reduction for Lossy Data Compression Problem

Marek Smieja, Jacek Tabor

CoRR, 2012

Weighted Approach to Rényi Entropy

Marek Smieja, Jacek Tabor

CoRR, 2012

A New Algorithm for Rotation Detection in Iris Pattern Recognition.

Krzysztof Misztal, Jacek Tabor, Khalid Saeed

Proceedings of the Computer Information Systems and Industrial Management, 2012

2011

k-means Approach to the Karhunen-Loeve Transform

Krzysztof Misztal, Przemyslaw Spurek, Jacek Tabor

CoRR, 2011

2002

Applications of Inverse Limits to Extensions of Operators and Approximation of Lipschitz Functions.

Jacek Tabor, David T. Yost

J. Approx. Theory, 2002