dr inż.
Adam Żychowski
Wydział Matematyki i Nauk Informacyjnych Politechniki Warszawskiej
Publikacje
[25] A. Żychowski, J. Mańdziuk, A. Perrault. Hall of Fame in Coevolutionary Algorithm for Stackelberg Security Games. Polish Conference on Artificial Intelligence (PPRAI 2024). 2024. poster
[24] A. Żychowski, A. Perrault, J. Mańdziuk. Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret.
AAAI Conference on Artificial Intelligence (AAAI 2024), 21869-21877. 2024. DOI: 10.1609/aaai.v38i19.30188 poster
[23] J. Mańdziuk, A. Żychowski. Duel-based neuroevolutionary method for Stackelberg Security Games with boundedly rational Attacker. Applied Soft Computing, 110673. 2023.
DOI:10.1016/j.asoc.2023.110673
[22] A. Żychowski, J. Mańdziuk. Optimized mutation operator in evolutionary approach to Stackelberg Security Games. Polish Conference on Artificial Intelligence (PPRAI 2023). 2023.
DOI:10.34658/9788366741928.58
poster [best paper award]
[21] A. Żychowski, J. Mańdziuk. Coevolution of Players Strategies in Security Games. Journal of Computational Science 68, 101980. 2023.
DOI:10.1016/j.jocs.2023.101980
[20] J. Karwowski, J. Mańdziuk, A. Żychowski. Sequential Stackelberg Games with bounded rationality. Applied Soft Computing, 109846. 2023.
DOI:10.1016/j.asoc.2022.109846
[19] J. Mycka, A. Żychowski, J. Mańdziuk. Toward Human-level Tonal and Modal Melody Harmonizations. Journal of Computational Science 67, 101963. 2023.
DOI:10.1016/j.jocs.2023.101963
[18] A. Żychowski, J. Mańdziuk, E. Bondi, A. Venugopal, M. Tambe, B. Ravindran. Evolutionary Approach to Security Games with Signaling.
International Joint Conference on Artificial Intelligence (IJCAI 2022), 620-627, 2022. poster
[17] A. Żychowski, J. Mańdziuk. Coevolutionary
Approach to Sequential Stackelberg Security Games. International Conference on Computational
Science (ICCS 2022), LNCS 13350, 103-117. 2022.
[16] J. Mycka, A. Żychowski, J. Mańdziuk. Human-level Melodic Line Harmonization.
International Conference on Computational Science (ICCS 2022), LNCS 13350, 17-30. 2022.
[15] J. Mycka, A. Żychowski, J. Mańdziuk. Evolutionary Approach to Melodic Line
Harmonization. International Conference on Artificial Intelligence and Soft Computing (ICAISC
2022), LNAI 13588, 230-241. 2022.
[14] P. Tomaszewska, A. Żychowski, J. Mańdziuk. Duel-based Deep Learning System for Solving IQ Tests.
International Conference on Artificial Intelligence and Statistics (AISTATS 2022), PMLR 151,
10483-10492. 2022.
[13] A. Żychowski, J. Mańdziuk. Learning
Attacker's Bounded Rationality Model in Security Games. International Conference on Neural
Information Processing (ICONIP 2021), CCIS 1516, 530-539. 2021.
[12] A. Żychowski, J. Mańdziuk. Duo-LDL method for Label Distribution
Learning based on pairwise class dependencies. Applied Soft Computing 110, 107585. 2021.
DOI:10.1016/j.asoc.2021.107585
[11] A. Żychowski, J. Mańdziuk. Evolution of
Strategies in Sequential Security Games. International Conference on Autonomous Agents and
Multiagent Systems (AAMAS 2021), 1434-1442. 2021.
[10] J. Karwowski, J. Mańdziuk, A. Żychowski. Anchoring Theory in Sequential Stackelberg Games.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 1881-1883.
2020.
[9] A. Żychowski, J. Mańdziuk. A Generic
Metaheuristic Approach to Sequential Security Games. International Conference on Autonomous
Agents and Multiagent Systems (AAMAS 2020), 2089-2091. 2020.
[8] J. Mańdziuk, A. Żychowski. Dimensionality
Reduction in Multilabel Classification with Neural Networks. International Joint Conference on
Neural Networks (IJCNN 2019), 1-8. 2019. DOI:10.1109/IJCNN.2019.8852156
[7] J. Mańdziuk, A. Żychowski. DeepIQ: A
Human-Inspired AI System for Solving IQ Test Problems. International Joint Conference on Neural
Networks (IJCNN 2019), 1-8. 2019. DOI:10.1109/IJCNN.2019.8851878
[6] J. Karwowski, J. Mańdziuk, A. Żychowski, F. Grajek, B. An. A Memetic Approach for Sequential Security
Games on a Plane with Moving Targets.AAAI Conference on Artificial
Intelligence (AAAI 2019), 970-977. 2019.
[5] M. Uliński, A. Żychowski, M. Okulewicz, M. Zaborski, H. Kordulewski. Generalized Self-Adapting Particle Swarm Optimization
algorithm. International Conference on Parallel Problem Solving from Nature (PPSN
2018). Lecture Notes in Computer Science, vol. 11101, 29-40. 2018.
[4] A. Żychowski, A. Gupta, J. Mańdziuk, Y.S. Ong. Addressing Expensive
Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. Knowledge-Based
Systems 154, 17-31. 2018. DOI:10.1016/j.knosys.2018.05.012
[3] A. Żychowski, K. Junosza-Szaniawski, A. Kosicki. Travel Time Prediction for Trams in
Warsaw. International Conference on Computer Recognition Systems (CORES
2017), 53-62. 2017.
[2] J. Mańdziuk, A. Żychowski, L. Wang. A
TCART-M - Tuned CARTestian-based error function for Multilabel Classification with the MLP.
International Joint Conference on Neural Networks (IJCNN 2017), 565-572. 2017.
[1] J. Mańdziuk, A. Żychowski. A Memetic Approach to Vehicle Routing
Problem with Dynamic Requests. Applied Soft Computing 48, 522-534. 2016. DOI:10.1016/j.asoc.2016.06.032
Rozprawa doktorska: Zastosowanie algorytmów ewolucyjnych w wielokrokowych Grach Obronnych Stackelberga. 2022.
Prezentacje i wystąpienia
[12] Hall of Fame in Coevolutionary Algorithm for Stackelberg Security Games. Polish Conference on Artificial Intelligence (PPRAI 2024), kwiecień 2024, Warszawa, Polska.
[11] Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. AAAI Conference on Artificial Intelligence (AAAI 2024), luty 2024, Vancouver, Canada.
[10] Optimized mutation operator in evolutionary approach to Stackelberg Security Games. Polish Conference on Artificial Intelligence (PPRAI 2023), kwiecień 2023, Łódź, Polska.
[9] Evolutionary Approach to Security Games with Signaling. International Joint Conference on Artificial Intelligence (IJCAI 2022), lipiec 2022, Vienna, Austria.
[8] Coevolutionary Approach to Sequential Stackelberg Security Games. International Conference on Computational Science (ICCS 2022), czerwiec 2022, London, Great Britain (zdalnie).
[7] Metody ewolucyjne w wielokrokowych grach obronnych Stackelberga. (z prof. Jacekiem Mańdziukiem) seminarium Instytutu Informatyki Politechniki Poznańskiej, kwiecień 2022, Poznań, Polska.
[6] Learning Attacker's Bounded Rationality Model in Security Games. International Conference on Neural Information Processing (ICONIP2021), grudzień 2021, Bali, Indonesia (zdalnie).
[5] Evolution of Strategies in Sequential Security Games. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), maj 2021, London, Great Britain (zdalnie).
[4] A Generic Metaheuristic Approach to Sequential Security Games. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), maj 2020, Auckland, New Zealand (zdalnie).
[3] Sieci neuronowe w rozwiązywaniu testów na inteligencję. (in Polish) IT Club Meeting of the Polish Information Processing Society, październik 2019, Warszawa, Polska.
[2] DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems. International Joint Conference on Neural Networks (IJCNN 2019), lipiec 2019, Budapest, Hungary.
[1] Travel Time Prediction for Trams in Warsaw. International Conference on Computer Recognition Systems (CORES 2017), maj 2017, Polanica Zdrój, Polska.
Zainteresowania
Naukowe:
- metody inteligencji obliczeniowej
- Security Games
- deep learning
- algorytmy memetyczne
Inne:
- biegi długodystansowe (M-2:57:53, HM-1:19:38, 10K-36:33)
- algorytmika
Prowadzone zajęcia
Metody Inteligencji Obliczeniowej w Analizie Danych - wykład
wtorek 8:15, sala 101Metody Inteligencji Obliczeniowej w Analizie Danych - laboratoria
wtorek 10:15, sala 202Archiwum prowadzonych zajęć
Deep Learning (projekt) - 2022, 2023
Metody inteligencji obliczeniowej w analizie danych (laboratorium) - 2021, 2022, 2023
Metody inteligencji obliczeniowej w analizie danych (wykład) - 2020, 2021, 2022, 2023
Metody głębokiego uczenia (projekt) - 2019, 2020, 2021
Metody Sztucznej Inteligencji 2 (projekt) - 2018
Metody Sztucznej Inteligencji 2 (ćwiczenia) - 2018
Sieci Neuronowe (projekt) - 2017, 2019, 2020, 2021
Algorytmy i Struktury Danych 2 (laboratorium) - 2017, 2018, 2019
Programowanie 3 Zaawansowane (laboratorium) - 2017, 2018
Programming 3 Advanced (laboratorium) - 2018, 2022
Computational Intelligence in Business Applications (projekt) - 2017
Metody inteligencji obliczeniowej w analizie danych (laboratorium) - 2021, 2022, 2023
Metody inteligencji obliczeniowej w analizie danych (wykład) - 2020, 2021, 2022, 2023
Metody głębokiego uczenia (projekt) - 2019, 2020, 2021
Metody Sztucznej Inteligencji 2 (projekt) - 2018
Metody Sztucznej Inteligencji 2 (ćwiczenia) - 2018
Sieci Neuronowe (projekt) - 2017, 2019, 2020, 2021
Algorytmy i Struktury Danych 2 (laboratorium) - 2017, 2018, 2019
Programowanie 3 Zaawansowane (laboratorium) - 2017, 2018
Programming 3 Advanced (laboratorium) - 2018, 2022
Computational Intelligence in Business Applications (projekt) - 2017