Adam Gonczarek

26 papers B 1C 4Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On discovering and analyzing variable dependencies to construct an effective and efficient optimizer dedicated to solving the new real-world multi-objective resource-allocation problem. Appl. Soft Comput. Michal Witold Przewozniczek, Pawel Borys Myszkowski, Witold Kosciukiewicz, Mateusz Wójcik, Adam Gonczarek, Adam Korkus
2023	—	`conf`	Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. ACL (student) Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
2023	J	`jnl`	Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. CoRR Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
2023	—	`conf`	Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. ACL (industry) Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
2023	J	`jnl`	Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. CoRR Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
2023	—	`conf`	Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. ICCS (2) Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
2023	J	`jnl`	Similarity-based Memory Enhanced Joint Entity and Relation Extraction. CoRR Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
2022	J	`jnl`	Neural Architecture for Online Ensemble Continual Learning. CoRR Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek
2018	J	`jnl`	Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra. Appl. Soft Comput. Maciej Zieba, Piotr Klukowski, Adam Gonczarek, Yaroslav Nikolaev, Michal J. Walczak
2018	J	`jnl`	Interaction prediction in structure-based virtual screening using deep learning. Comput. Biol. Medicine Adam Gonczarek, Jakub M. Tomczak, Szymon Zareba, Joanna Kaczmar, Piotr Dabrowski, Michal J. Walczak
2018	J	`jnl`	NMRNet: a deep learning approach to automated peak picking of protein NMR spectra. Bioinform. Piotr Klukowski, Michal Augoff, Maciej Zieba, Maciej Drwal, Adam Gonczarek, Michal J. Walczak
2018	J	`jnl`	Towards fully automated protein structure elucidation with NMR spectroscopy. CoRR Piotr Klukowski, Adam Gonczarek
2017	—	`conf`	A Bayesian Framework for Chemical Shift Assignment. ACIIDS (2) Adam Gonczarek, Piotr Klukowski, Maciej Drwal, Pawel Swiatek
2017	J	`jnl`	Learning Invariant Features Using Subspace Restricted Boltzmann Machine. Neural Process. Lett. Jakub M. Tomczak, Adam Gonczarek
2016	J	`jnl`	Articulated tracking with manifold regularized particle filter. Mach. Vis. Appl. Adam Gonczarek, Jakub M. Tomczak
2016	J	`jnl`	Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening. CoRR Adam Gonczarek, Jakub M. Tomczak, Szymon Zareba, Joanna Kaczmar, Piotr Dabrowski, Michal J. Walczak
2015	C	`conf`	A benchmark for automated peak picking of protein NMR spectra. CIBCB Piotr Klukowski, Adam Gonczarek, Michal J. Walczak
2015	J	`jnl`	Computer vision-based automated peak picking applied to protein NMR spectra. Bioinform. Piotr Klukowski, Michal J. Walczak, Adam Gonczarek, Julien Boudet, Gerhard Wider
2015	—	`conf`	RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique. ACIIDS (1) Maciej Zieba, Jakub M. Tomczak, Adam Gonczarek
2014	C	`conf`	Accelerated learning for Restricted Boltzmann Machine with momentum term. ICSEng Szymon Zareba, Adam Gonczarek, Jakub M. Tomczak, Jerzy Swiatek
2014	C	`conf`	Sparse hidden units activation in Restricted Boltzmann Machine. ICSEng Jakub M. Tomczak, Adam Gonczarek
2014	J	`jnl`	Subspace Restricted Boltzmann Machine. CoRR Jakub M. Tomczak, Adam Gonczarek
2013	J	`jnl`	Decision rules extraction from data stream in the presence of changing context for diabetes treatment. Knowl. Inf. Syst. Jakub M. Tomczak, Adam Gonczarek
2013	—	`conf`	Manifold Regularized Particle Filter for Articulated Human Motion Tracking. ICSS Adam Gonczarek, Jakub M. Tomczak
2012	B	`conf`	A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks. ASONAM Krzysztof Juszczyszyn, Adam Gonczarek, Jakub M. Tomczak, Katarzyna Musial, Marcin Budka
2011	C	`conf`	Migration-aware Optimization of Virtualized Computational Resources Allocation in Complex Systems. ICSEng Piotr Rygielski, Adam Gonczarek

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.