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Publikacje 2024

  • Mirakowski Arkadiusz: Comparison of the effectiveness of ANN and CNN in image classification, Advances in Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9-11, 2024 Proceedings
  • Jędrzejowicz Piotr: Collective computational intelligence challenges and opportunities, Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9-11, 2024 Proceedings
  • Szyman Paweł, Barbucha Dariusz: Experimental study on link prediction in unweighted and weighted time-evolving organizational social network, Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9-11, 2024 Proceedings
  • Jędrzejowicz Piotr, Ratajczak-Ropel Ewa: Parallelized population-based multi-heuristic approach for solving RCPSP and MRCPSP instances, Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9-11, 2024 Proceedings
  • Pieper Kamil, Roczniok Bartosz, Czarnowski Ireneusz: Reward-based hybrid genetic algorithm for solving the class scheduling problem, Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9-11, 2024 Proceedings
  • Jędrzejowicz Piotr, Keller Krzysztof, Skakovski Aleksander: An efficient hybrid evolutionary algorithm for solving the traveling salesman problem, Procedia Computer Science 2024
  • Krajewski Jakub, Czarnowski Ireneusz: An implementation of the YOLO algorithm for the recognition of flags of the International Code of Signals, Procedia Computer Science 2024
  • Szyman Paweł, Barbucha Dariusz: Exploring weighted organizational social networks: community detection case studies, Procedia Computer Science 2024
  • Szarmach Marta, Czarnowski Ireneusz: VAR vs XGBoost: Performance of both models in AIS data reconstruction, Procedia Computer Science 2024
  • Jędrzejowicz Piotr, Ratajczak-Ropel Ewa, Wierzbowska Izabela: An approach for solving difficult scheduling problems, Silesian University of Technology Scientific Papers. Organization and Management 2024