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Adam Gonczarek
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2020 – today
- 2023
- [c11]Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek:
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. ACL (student) 2023: 119-129 - [c10]Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek:
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. ACL (industry) 2023: 527-537 - [c9]Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek:
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. ICCS (2) 2023: 290-297 - [i7]Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek:
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. CoRR abs/2307.05399 (2023) - [i6]Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek:
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. CoRR abs/2307.07002 (2023) - [i5]Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek:
Similarity-based Memory Enhanced Joint Entity and Relation Extraction. CoRR abs/2307.11762 (2023) - 2022
- [i4]Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek:
Neural Architecture for Online Ensemble Continual Learning. CoRR abs/2211.14963 (2022)
2010 – 2019
- 2018
- [j7]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) - [j6]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) - [j5]Adam Gonczarek, Jakub M. Tomczak, Szymon Zareba, Joanna Kaczmar, Piotr Dabrowski, Michal J. Walczak:
Interaction prediction in structure-based virtual screening using deep learning. Comput. Biol. Medicine 100: 253-258 (2018) - [i3]Piotr Klukowski, Adam Gonczarek:
Towards fully automated protein structure elucidation with NMR spectroscopy. CoRR abs/1808.00564 (2018) - 2017
- [j4]Jakub M. Tomczak, Adam Gonczarek:
Learning Invariant Features Using Subspace Restricted Boltzmann Machine. Neural Process. Lett. 45(1): 173-182 (2017) - [c8]Adam Gonczarek, Piotr Klukowski, Maciej Drwal, Pawel Swiatek:
A Bayesian Framework for Chemical Shift Assignment. ACIIDS (2) 2017: 641-649 - 2016
- [j3]Adam Gonczarek, Jakub M. Tomczak:
Articulated tracking with manifold regularized particle filter. Mach. Vis. Appl. 27(2): 275-286 (2016) - [i2]Adam Gonczarek, Jakub M. Tomczak, Szymon Zareba, Joanna Kaczmar, Piotr Dabrowski, Michal J. Walczak:
Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening. CoRR abs/1610.07187 (2016) - 2015
- [j2]Piotr Klukowski, Michal J. Walczak, Adam Gonczarek, Julien Boudet, Gerhard Wider:
Computer vision-based automated peak picking applied to protein NMR spectra. Bioinform. 31(18): 2981-2988 (2015) - [c7]Maciej Zieba, Jakub M. Tomczak, Adam Gonczarek:
RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique. ACIIDS (1) 2015: 377-386 - [c6]Piotr Klukowski, Adam Gonczarek, Michal J. Walczak:
A benchmark for automated peak picking of protein NMR spectra. CIBCB 2015: 1-8 - 2014
- [c5]Jakub M. Tomczak, Adam Gonczarek:
Sparse hidden units activation in Restricted Boltzmann Machine. ICSEng 2014: 181-185 - [c4]Szymon Zareba, Adam Gonczarek, Jakub M. Tomczak, Jerzy Swiatek:
Accelerated learning for Restricted Boltzmann Machine with momentum term. ICSEng 2014: 187-192 - [i1]Jakub M. Tomczak, Adam Gonczarek:
Subspace Restricted Boltzmann Machine. CoRR abs/1407.4422 (2014) - 2013
- [j1]Jakub M. Tomczak, Adam Gonczarek:
Decision rules extraction from data stream in the presence of changing context for diabetes treatment. Knowl. Inf. Syst. 34(3): 521-546 (2013) - [c3]Adam Gonczarek, Jakub M. Tomczak:
Manifold Regularized Particle Filter for Articulated Human Motion Tracking. ICSS 2013: 283-293 - 2012
- [c2]Krzysztof Juszczyszyn, Adam Gonczarek, Jakub M. Tomczak, Katarzyna Musial, Marcin Budka:
A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks. ASONAM 2012: 996-1001 - 2011
- [c1]Piotr Rygielski, Adam Gonczarek:
Migration-aware Optimization of Virtualized Computational Resources Allocation in Complex Systems. ICSEng 2011: 212-216
Coauthor Index
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