Migration-aware Optimization of Virtualized Computational Resources Allocation in Complex Systems. - Piotr Rygielski; Adam Gonczarek (ICSEng, 2011)

A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks. - Krzysztof Juszczyszyn; Adam Gonczarek; Jakub M. Tomczak; Katarzyna Musial; Marcin Budka (ASONAM, 2012)

Manifold Regularized Particle Filter for Articulated Human Motion Tracking. - Adam Gonczarek; Jakub M. Tomczak (ICSS, 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)

Sparse hidden units activation in Restricted Boltzmann Machine. - Jakub M. Tomczak; Adam Gonczarek (ICSEng, 2014)

Accelerated learning for Restricted Boltzmann Machine with momentum term. - Szymon Zareba; Adam Gonczarek; Jakub M. Tomczak; Jerzy Swiatek (ICSEng, 2014)

Subspace Restricted Boltzmann Machine. - Jakub M. Tomczak; Adam Gonczarek (CoRR, 2014)

RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique. - Maciej Zieba; Jakub M. Tomczak; Adam Gonczarek (ACIIDS (1), 2015)

A benchmark for automated peak picking of protein NMR spectra. - Piotr Klukowski; Adam Gonczarek; Michal J. Walczak (CIBCB, 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)

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)

Articulated tracking with manifold regularized particle filter. - Adam Gonczarek; Jakub M. Tomczak (Mach. Vis. Appl., 2016)

A Bayesian Framework for Chemical Shift Assignment. - Adam Gonczarek; Piotr Klukowski; Maciej Drwal; Pawel Swiatek (ACIIDS (2), 2017)

Learning Invariant Features Using Subspace Restricted Boltzmann Machine. - Jakub M. Tomczak; Adam Gonczarek (Neural Process. Lett., 2017)

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)

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)

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)

Towards fully automated protein structure elucidation with NMR spectroscopy. - Piotr Klukowski; Adam Gonczarek (CoRR, 2018)

Neural Architecture for Online Ensemble Continual Learning. - Mateusz Wójcik; Witold Kosciukiewicz; Tomasz Kajdanowicz; Adam Gonczarek (CoRR, 2022)

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. - Mateusz Baran; Joanna Baran; Mateusz Wójcik; Maciej Zieba; Adam Gonczarek (ACL (student), 2023)

Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. - Mateusz Wójcik; Witold Kosciukiewicz; Mateusz Baran; Tomasz Kajdanowicz; Adam Gonczarek (ACL (industry), 2023)

Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. - Witold Kosciukiewicz; Mateusz Wójcik; Tomasz Kajdanowicz; Adam Gonczarek (ICCS (2), 2023)