BeesyBees - Efficient and Reliable Execution of Service-based Workflow Applications for BeesyCluster using Distributed Agents. - Pawel Czarnul; Mariusz R. Matuszek; Michal Wójcik; Karol Zalewski (IMCSIT, 2010)

Dynamic Compatibility Matching of Services for Distributed Workflow Execution. - Pawel Czarnul; Michal Wójcik (PPAM (2), 2011)

BeesyBees: A mobile agent-based middleware for a reliable and secure execution of service-based workflow applications in BeesyCluster. - Pawel Czarnul; Mariusz R. Matuszek; Michal Wójcik; Karol Zalewski (Multiagent Grid Syst., 2011)

Platform for Storing and Searching Different Formats of Spatial Data. - Przemyslaw Kulesza; Michal Wójcik (BDAS, 2014)

APIS - Agent Platform for Integration of Services. - Michal Wójcik; Pawel Napieracz; Wojciech Jedruch (FedCSIS (Position Papers), 2016)

MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems. - Pawel Czarnul; Jaroslaw Kuchta; Mariusz R. Matuszek; Jerzy Proficz; Pawel Rosciszewski; Michal Wójcik; Julian Szymanski (Simul. Model. Pract. Theory, 2017)

Classification of Copper Minerals by Handheld Laser-Induced Breakdown Spectroscopy and Nonnegative Tensor Factorisation. - Michal Wójcik; Pia Brinkmann; Rafal Zdunek; Daniel Riebe; Toralf Beitz; Sven Merk; Katarzyna Cieslik; David Mory; Arkadiusz Antonczak (Sensors, 2020)

Predicting a Time-Dependent Quantity Using Recursive Generative Query Network. - Grzegorz Miebs; Michal Wójcik; Adam Karaszewski; Malgorzata Mochol-Grzelak; Paulina Wawdysz; Rafal A. Bachorz (Int. J. Neural Syst., 2022)

Mobile Laser-Induced Breakdown Spectroscopy for Future Application in Precision Agriculture - A Case Study. - Alexander Erler; Daniel Riebe; Toralf Beitz; Hans-Gerd Löhmannsröben; Mathias Leenen; Stefan J. Pätzold; Markus Ostermann; Michal Wójcik (Sensors, 2023)

Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison. - Michal Wójcik; Milosz Kadzinski; Krzysztof Ciomek (Knowl. Based Syst., 2023)

Nature-inspired Preference Learning Algorithms Using the Choquet Integral. - Michal Wójcik; Milosz Kadzinski (GECCO, 2024)

Robust Robotic Search and Rescue in Harsh Environments: An Example and Open Challenges. - Selim Solmaz; Pamela Innerwinkler; Michal Wójcik; Kailin Tong; Elena Politi; George Dimitrakopoulos 001; Patrick Purucker; Alfred Höß; Björn W. Schuller; Reiner John (ROSE, 2024)

Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on raw data packets. - Aleksander Ogonowski; Michal Zebrowski; Arkadiusz Cwiek; Tobiasz Jarosiewicz; Konrad Klimaszewski; Adam Padee; Piotr Wasiuk; Michal Wójcik (CoRR, 2024)

Dynamical similarity analysis uniquely captures how computations develop in RNNs. - Quentin Guilhot; Jascha Achterberg; Michal Wójcik; Rui Ponte Costa (CoRR, 2024)