Adam Gonczarek

According to our database, Adam Gonczarek authored at least 22 papers between 2011 and 2023.

Collaborative distances:

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

2023

Similarity-Based Memory Enhanced Joint Entity and Relation Extraction.

Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek

Proceedings of the Computational Science - ICCS 2023, 2023

Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform.

Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks.

Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022

Neural Architecture for Online Ensemble Continual Learning.

Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek

CoRR, 2022

2018

Towards fully automated protein structure elucidation with NMR spectroscopy.

Piotr Klukowski, Adam Gonczarek

CoRR, 2018

Interaction prediction in structure-based virtual screening using deep learning.

Adam Gonczarek, Jakub M. Tomczak, Szymon Zareba, Joanna Kaczmar, Piotr Dabrowski, Michal J. Walczak

Comput. Biol. Medicine, 2018

NMRNet: a deep learning approach to automated peak picking of protein NMR spectra.

Piotr Klukowski, Michal Augoff, Maciej Zieba, Maciej Drwal, Adam Gonczarek, Michal J. Walczak

Bioinform., 2018

Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra.

Maciej Zieba, Piotr Klukowski, Adam Gonczarek, Yaroslav Nikolaev, Michal J. Walczak

Appl. Soft Comput., 2018

2017

Learning Invariant Features Using Subspace Restricted Boltzmann Machine.

Jakub M. Tomczak, Adam Gonczarek

Neural Process. Lett., 2017

A Bayesian Framework for Chemical Shift Assignment.

Adam Gonczarek, Piotr Klukowski, Maciej Drwal, Pawel Swiatek

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016

Articulated tracking with manifold regularized particle filter.

Adam Gonczarek, Jakub M. Tomczak

Mach. Vis. Appl., 2016

Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening.

Adam Gonczarek, Jakub M. Tomczak, Szymon Zareba, Joanna Kaczmar, Piotr Dabrowski, Michal J. Walczak

CoRR, 2016

2015

Computer vision-based automated peak picking applied to protein NMR spectra.

Piotr Klukowski, Michal J. Walczak, Adam Gonczarek, Julien Boudet, Gerhard Wider

Bioinform., 2015

A benchmark for automated peak picking of protein NMR spectra.

Piotr Klukowski, Adam Gonczarek, Michal J. Walczak

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique.

Maciej Zieba, Jakub M. Tomczak, Adam Gonczarek

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

Subspace Restricted Boltzmann Machine.

Jakub M. Tomczak, Adam Gonczarek

CoRR, 2014

Accelerated learning for Restricted Boltzmann Machine with momentum term.

Szymon Zareba, Adam Gonczarek, Jakub M. Tomczak, Jerzy Swiatek

Proceedings of the Progress in Systems Engineering, 2014

Sparse hidden units activation in Restricted Boltzmann Machine.

Jakub M. Tomczak, Adam Gonczarek

Proceedings of the Progress in Systems Engineering, 2014

2013

Decision rules extraction from data stream in the presence of changing context for diabetes treatment.

Jakub M. Tomczak, Adam Gonczarek

Knowl. Inf. Syst., 2013

Manifold Regularized Particle Filter for Articulated Human Motion Tracking.

Adam Gonczarek, Jakub M. Tomczak

Proceedings of the Advances in Systems Science, 2013

2012

A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks.

Krzysztof Juszczyszyn, Adam Gonczarek, Jakub M. Tomczak, Katarzyna Musial, Marcin Budka

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Migration-aware Optimization of Virtualized Computational Resources Allocation in Complex Systems.

Piotr Rygielski, Adam Gonczarek

Proceedings of the 21st International Conference on Systems Engineering (ICSEng 2011), 2011