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2020 – today
- 2020
[j9]Maciej Zamorski, Maciej Zieba
, Piotr Klukowski, Rafal Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzcinski:
Adversarial autoencoders for compact representations of 3D point clouds. Comput. Vis. Image Underst. 193: 102921 (2020)- [c20]Piotr Kluska, Maciej Zieba:
Post-training Quantization Methods for Deep Learning Models. ACIIDS (1) 2020: 467-479 - [c19]Adrian Zdobylak, Maciej Zieba:
Semi-supervised Representation Learning for 3D Point Clouds. ACIIDS (1) 2020: 480-491 - [c18]Maciej Zamorski, Maciej Zieba, Jerzy Swiatek:
Comparison of Aggregation Functions for 3D Point Clouds Classification. ACIIDS (1) 2020: 504-513 - [c17]Maciej Zamorski, Maciej Zieba, Jerzy Swiatek:
Generative Modeling in Application to Point Cloud Completion. ICAISC (1) 2020: 292-302 - [c16]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. ICML 2020: 9099-9108 - [c15]Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz:
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree. NeurIPS 2020 - [i11]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. CoRR abs/2003.00802 (2020) - [i10]Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski:
HyperFlow: Representing 3D Objects as Surfaces. CoRR abs/2006.08710 (2020) - [i9]Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz:
UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree. CoRR abs/2006.09102 (2020) - [i8]Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski:
Representing Point Clouds with Generative Conditional Invertible Flow Networks. CoRR abs/2010.11087 (2020) - [i7]Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR abs/2011.14620 (2020)
2010 – 2019
- 2019
- [c14]Maciej Zamorski, Maciej Zieba:
Semi-supervised Learning with Bidirectional GANs. ACIIDS (1) 2019: 649-660 - [c13]Maciej Zamorski, Adrian Zdobylak, Maciej Zieba, Jerzy Swiatek:
Generative Adversarial Networks: Recent Developments. ICAISC (1) 2019: 248-258 - [i6]Maciej Zamorski, Adrian Zdobylak, Maciej Zieba, Jerzy Swiatek:
Generative Adversarial Networks: recent developments. CoRR abs/1903.12266 (2019) - [i5]Michal Stypulkowski, Maciej Zamorski, Maciej Zieba, Jan Chorowski:
Conditional Invertible Flow for Point Cloud Generation. CoRR abs/1910.07344 (2019) - 2018
- [j8]Maciej Zieba, Piotr Klukowski, Adam Gonczarek, Yaroslav Nikolaev, Michal J. Walczak:
Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra. Appl. Soft Comput. 68: 162-171 (2018) - [j7]Piotr Klukowski, Michal Augoff, Maciej Zieba, Maciej Drwal, Adam Gonczarek, Michal J. Walczak:
NMRNet: a deep learning approach to automated peak picking of protein NMR spectra. Bioinform. 34(15): 2590-2597 (2018) - [c12]Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski:
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. NeurIPS 2018: 3612-3622 - [i4]Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski:
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. CoRR abs/1806.06778 (2018) - [i3]Maciej Zamorski, Maciej Zieba, Rafal Nowak, Wojciech Stokowiec, Tomasz Trzcinski:
Adversarial Autoencoders for Generating 3D Point Clouds. CoRR abs/1811.07605 (2018) - [i2]Maciej Zamorski, Maciej Zieba:
Semi-supervised learning with Bidirectional GANs. CoRR abs/1811.11426 (2018) - 2017
- [c11]Maciej Zieba, Lei Wang:
Training Triplet Networks with GAN. ICLR (Workshop) 2017 - [i1]Maciej Zieba, Lei Wang:
Training Triplet Networks with GAN. CoRR abs/1704.02227 (2017) - 2016
- [j6]Maciej Zieba, Sebastian K. Tomczak, Jakub M. Tomczak:
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction. Expert Syst. Appl. 58: 93-101 (2016) - [c10]Maciej Zieba, Jakub M. Tomczak, Jerzy Swiatek:
Self-paced Learning for Imbalanced Data. ACIIDS (1) 2016: 564-573 - 2015
- [j5]Jakub M. Tomczak, Maciej Zieba:
Classification Restricted Boltzmann Machine for comprehensible credit scoring model. Expert Syst. Appl. 42(4): 1789-1796 (2015) - [j4]Jakub M. Tomczak, Maciej Zieba:
Probabilistic combination of classification rules and its application to medical diagnosis. Mach. Learn. 101(1-3): 105-135 (2015) - [j3]Maciej Zieba, Jakub M. Tomczak:
Boosted SVM with active learning strategy for imbalanced data. Soft Comput. 19(12): 3357-3368 (2015) - [c9]Maciej Zieba, Jakub M. Tomczak, Adam Gonczarek:
RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique. ACIIDS (1) 2015: 377-386 - 2014
- [j2]Maciej Zieba, Jakub M. Tomczak, Marek Lubicz, Jerzy Swiatek:
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients. Appl. Soft Comput. 14: 99-108 (2014) - [c8]Maciej Zieba, Jakub M. Tomczak, Krzysztof Brzostowski:
Selecting right questions with Restricted Boltzmann Machines. ICSEng 2014: 227-232 - 2013
- [c7]Maciej Zieba, Jerzy Swiatek:
Ensemble SVM for imbalanced data and missing values in postoperative risk management. Healthcom 2013: 95-99 - [c6]Maciej Zieba, Jerzy Swiatek, Marek Lubicz:
Cost Sensitive SVM with Non-informative Examples Elimination for Imbalanced Postoperative Risk Management Problem. ICSS 2013: 305-314 - [c5]Jakub Mikolaj Tomczak, Maciej Zieba:
On-line bayesian context change detection in web service systems. HotTopiCS 2013: 3-10 - 2012
- [c4]Maciej Zieba, Jerzy Swiatek:
Ensemble Classifier for Solving Credit Scoring Problems. DoCEIS 2012: 59-66 - 2011
- [j1]Agnieszka Prusiewicz, Maciej Zieba:
On some method for limited services selection. Int. J. Intell. Inf. Database Syst. 5(5): 493-509 (2011) - [c3]Krzysztof Brzostowski, Maciej Zieba:
Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm. ICSEng 2011: 422-426 - [c2]Agnieszka Prusiewicz, Maciej Zieba:
The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems. DoCEIS 2011: 83-90 - 2010
- [c1]Agnieszka Prusiewicz, Maciej Zieba:
Services Recommendation in Systems Based on Service Oriented Architecture by Applying Modified ROCK Algorithm. NDT (2) 2010: 226-238
Coauthor Index
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