facebook Przejdź do treści

A Zmniejsz rozmiar czcionki A Resetuj rozmiar czcionki A Powiększ rozmiar czcionki

Uniwersytet Warszawski | CWID
Facebook Youtube Twitter Linkedin-in Instagram

Wydział Matematyki, Informatyki i Mechaniki

Prezentujemy spis projektów dot. sztucznej inteligencji, które realizowane są w ramach działalności Uniwersytetu Warszawskiego.
Otwarcie Centrum Współpracy i Dialogu UW

Publikacje

  1. Adamczewski K., Matejczyk S., Michalak T. P., How good is the Shapley value-based approach to the influence maximization problem?, CoRR abs/1409.7830 (2014).
  2. Adamczyk M., Betliński P., Gora P., Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation,
    in Communications in Computer and Information Science, Volume 80, Part 2, 2010,
    pp. 278-287, ISBN: 978-3-642-14054-9.
  3. AlShebli B. K., Michalak T. P., Skibski O., Wooldridge M. J., Rahwan T., A Measure of Added Value in Groups, ACM Trans. Auton. Adapt. Syst. 13(4): 18:1-18:46 (2019).
  4. Belhadi A., Djenouri Y., Djenouri D., Michalak T. P., Lin J. Chun-Wei, Machine Learning for Identifying Group Trajectory Outliers, ACM Trans. Manag. Inf. Syst. 12(2): 12:1-12:25 (2021).
  5. Betliński P., Gora P., Herba K., Trung Nguyen, Stawicki S., Semantic Recognition of Digital Documents, in Intelligent Tools For Building a Scientific Information Platform, Studies in Computational Intelligence, Volume 390/2012, 2012, pp. 97-106, ISBN: 978-3-642-24808-5.
  6. Biecek P., Burzykowski T., Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models, New York 2021. Monografia otrzymała w 2021 roku Nagrodę Komitetu Informatyki PAN za Wybitną Monografię z Zakresu Informatyki im. Profesora Zdzisława Pawlaka.
  7. Biecek P., Kozak A., Zawada A., The Hitchhiker’s Guide to Responsible Machine Learning, Warsaw 2021, link do publikacji: https://betaandbit.github.io/RML/.
  8. Branzei S., Michalak T. P., Rahwan T., Larson K., Jennings N. R., Matching Games with Additive Externalities, CoRR abs/1207.3682 (2012).
  9. Branzei S., Michalak T. P., Rahwan T., Larson K., Jennings N. R., Matchings with externalities and attitudes, AAMAS 2013, s. 295-302.
  10. Djenouri Y., Djenouri D., Habbas Z., Lin J. Chun-Wei, Michalak T. P., Cano A., When the Decomposition Meets the Constraint Satisfaction Problem, IEEE Access 8: 207034-207043 (2020).
  11. Doherty P., Michalak T. P., Sroka J., Szalas A., Contextual Coalitional Games, ICLA 2011, s. 65-78.
  12. Fatima S., Michalak T. P., Wooldridge M. J., Power and welfare in noncooperative bargaining for coalition structure formation, AAMAS 2014, s. 1439-1440.
  13. Fatima S., Michalak T. P., Wooldridge M. J., Power and welfare in bargaining for coalition structure formation, Auton. Agents Multi Agent Syst. 30(5): 899-930 (2016).
  14. Fatima S. S., Michalak T. P., Wooldridge M. J., Bargaining for Coalition Structure Formation, ECAI 2014, s. 315-320.
  15. Frechette Alexandre, Kotthoff Lars, Michalak T. P., Rahwan T., Hoos H. H., Leyton-Brown K., Using the Shapley Value to Analyze Algorithm Portfolios, AAAI 2016: 3397-3403.
  16. Gora P., A Genetic Algorithm Approach to Optimization of Vehicular Traffic in Cities by Means of Configuring Traffic Lights, in Emerging Intelligent Technologies in Industry, 2011, pp. 1-10, ISBN: 978-3-642-22731-8.
  17. Gora P., Designing urban areas using traffic simulations, artificial intelligence and acquiring feedback from stakeholders, Transportation Research Procedia 41, 2019, pp. 532-534.
  18. Gora P., Optymalizacja ruchu drogowego bazująca na symulacji z wykorzystaniem algorytmów genetycznych i obliczeń o wysokiej wydajności, in „Transport Miejski
    i Regionalny” 2016, nr 5, s. 40-45.
  19. Gora P., Simulation-based traffic management system for connected and autonomous vehicles, Road Vehicle Automation 4, Springer, pp. 257-266, 2017.
  20. Gora P., Bankiewicz D., Karnas K., Kaźmierczak W., Kutwin M., Perkowski P., Płotka S., Szczurek A., Zięba D., On a road to optimal fleet routing algorithms: a gentle introduction to the state-of-the-art, in “Solving Complex Vehicle Routing Problems. Intelligent Data-Centric Systems”, 2020, pp. 37-92.
  21. Gora P., Bardoński M., Training neural networks to approximate traffic simulation outcomes, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE, pp. 889–894.
  22. Gora P., Brzeski M., Karnas K., Przybyszewski P., Klemenko A., Kochański A., Dryja H., Kukawska M., Kopczyk D., Możejko M., Solving Traffic Signal Setting Problem Using Machine Learning, 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2019.
  23. Gora P., Możejko M., Brzeski M., Klemenko A., Kochański A., Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks, NeurIPS Workshop “Machine Learning for Intelligent Transportation Systems”, https://arxiv.org/abs/1812.00401.
  24. Gora P., Kurach K., Approximating Traffic Simulation using Neural Networks and its Application in Traffic Optimization, NIPS 2016 Workshop on Nonconvex Optimization for Machine Learning: Theory and Practice.
  25. Gora P., Pardel P., Application of genetic algorithms and high-performance computing to the Traffic Signal Setting problem, in 24th International Workshop, CS&P 2015, Vol. 1, Rzeszów, 2015, s. 146-157, ISBN: 978-83-7996-181-8.
  26. Gora P., Son H. Nguyen, Szczuka M., Świetlicka J., Wojnarski M., Zeinalipour D., IEEE ICDM 2010 Contest TomTom Traffic Prediction for Intelligent GPS Navigation, in IEEE ICDM 2010 Workshops, 2010, pp. 1372-1376, ISBN: 978-0-7695-4257-7.
  27. Gora P., Wasilewski P., Adaptive System for Intelligent Traffic Management in Smart Cities, in Active Media Technology, Lecture Notes in Computer Science, Vol. 8610, 2014, s. 525-536.
  28. Gora P., Wasilewski P., Inducing Models of Vehicular Traffic Complex, Vague Concepts by Interaction with Domain Experts, in The Fifth International Conference on Advanced Cognitive Technologies and Applications, 2013, pp. 120-125, ISBN: 978-1-61208-273-8.
  29. Han D., Lu C. X., Michalak T. P., Wooldridge M. J., Multiagent Model-based Credit Assignment for Continuous Control, CoRR abs/2112.13937 (2021).
  30. Jahedpari F., Rahwan T., Hashemi S., Michalak T. P., De Vos M., Padget J. A.,
    Woon W. L., Online Prediction via Continuous Artificial Prediction Markets, IEEE Intell. Syst. 32(1): 61-68 (2017).
  31. Karthik A. V., Michalak T. P., Jennings N. R., Representation of coalitional games with algebraic decision diagrams. AAMAS 2011, s. 1121-1122.
  32. Karthik A. V., Ravindran B., Michalak T. P., Jennings N. R., Efficient Computation of the Shapley Value for Centrality in Networks, WINE 2010, s. 1-13.
  33. Kotthoff L., Fréchette A., Michalak T. P., Rahwan T., Hoos H. H., Leyton-Brown K., Quantifying Algorithmic Improvements over Time, IJCAI 2018: 5165-5171.
  34. Krysta P., Michalak T. P., Sandholm Tuomas, Wooldridge M. J., Combinatorial auctions with externalities, AAMAS 2010, s. 1471-1472.
  35. Michalak T. P., Dowell A. J., McBurney P., Wooldridge M. J., Pre-processing Techniques for Anytime Coalition Structure Generation Algorithms, KRAMAS 2008, s. 99-113.
  36. Michalak T. P., Dowell A. J., McBurney P., Wooldridge M. J., Optimal Coalition Structure Generation In Partition Function Games, ECAI 2008, s. 388-392.
  37. Michalak T. P., Karthik A. V., Szczepanski P. L., Ravindran B., Jennings N. R., Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality, J. Artif. Intell. Res. 46 2013, s. 607-650.
  38. Michalak T. P., Marciniak D., Szamotulski M., Rahwan T., Wooldridge Michael J., McBurney P., Jennings N. R., A logic-based representation for coalitional games with externalities, AAMAS 2010, s.125-132.
  39. Michalak T. P., Rahwan T., Elkind E., Wooldridge M. J., Jennings N. R., A hybrid exact algorithm for complete set partitioning, Artif. Intell. 230: 14-50 (2016).
  40. Michalak T. P., Rahwan T., Marciniak D., Szamotulski M., Jennings N. R., Computational Aspects of Extending the Shapley Value to Coalitional Games with Externalities, ECAI 2010, s. 197-202.
  41. Michalak T. P., Rahwan T., Moretti S., Naravanam R., Skibski O., Szczepanski P. L., Wooldridge M. J., A new approach to measure social capital using game-theoretic techniques, SIGecom Exch. 14(1), 2015, s. 95-100.
  42. Michalak T. P., Rahwan T., Skibski O., Wooldridge M. J., Defeating Terrorist Networks with Game Theory, IEEE Intell. Syst. 30(1): 53-61 (2015).
  43. Michalak T. P., Rahwan T., Sroka J., Dowel A. J., Wooldridge M. J., McBurney P., Jennings N. R., On representing coalitional games with externalities, EC 2009, s. 11-20.
  44. Michalak T. P., Rahwan T., Szczepanski P. L., Skibski O., Narayanam R., Jennings N. R., Wooldridge M. J., Computational Analysis of Connectivity Games with Applications to the Investigation of Terrorist Networks, IJCAI 2013, s. 293-301.
  45. Michalak T. P., Rahwan T., Wooldridge M. J., Strategic Social Network Analysis, AAAI 2017: 4841-4845.
  46. Michalak T. P., Sroka J., Rahwan T., Wooldridge M. J., McBurney P., Jennings N. R.,
    A distributed algorithm for anytime coalition structure generation, AAMAS 2010, s. 1007-1014. 
  47. Michalak T. P., Tyrowicz J., McBurney P., Wooldridge M. J., Exogenous coalition formation in the e-marketplace based on geographical proximity, „Electron. Commer. Res. Appl.” 2009, 8(4), s. 203-223.
  48. Michalak T. P., Szczepanski Piotr L., Rahwan T., Chrobak A., Branzei S., Wooldridge M. J., Jennin
    gs N. R., Implementation and Computation of a Value for Generalized Characteristic Function Games, ACM Trans. Economics and Comput. 2(4): 16:1-16:35 (2014).
  49. Michalak T. P., Wooldridge M. J., AI and Economics, IEEE Intell. Syst. 32(1): 5-7 (2017).
  50. Możejko M., Brzeski M., Mądry Ł., Skowronek Ł., Gora P., Traffic Signal Settings Optimization Using Gradient Descent, in „Schedae Informaticae” 2018, vol. 27.
  51. Narayanam R., Skibski O., Lamba H., Michalak T. P., A Shapley Value-based Approach to Determine Gatekeepers in Social Networks with Applications, ECAI 2014, s. 651-656.
  52. Pawlowski K., Kurach K., Svensson K., Ramchurn S. D., Michalak T. P., Rahwan T., Coalition structure generation with the graphics processing unit, AAMAS 2014, s. 293-300.
  53. Rahwan T., Michalak T. P., Elkind E., Faliszewski P., Sroka J., Wooldridge M. J., Jennings N. R., Constrained Coalition Formation, AAAI 2011.
  54. Rahwan T., Michalak T. P., Jennings N. R., A Hybrid Algorithm for Coalition Structure Generation, AAAI 2012.
  55. Rahwan T., Michalak T. P., Jennings N. R., Minimum Search to Establish Worst-Case Guarantees in Coalition Structure Generation, IJCAI 2011, s. 338-343.
  56. Rahwan T., Michalak T. P., Jennings N. R., Wooldridge M. J., McBurney P., Coalition Structure Generation in Multi-Agent Systems with Positive and Negative Externalities, IJCAI 2009: s. 257-263.
  57. Rahwan T., Michalak T. P., Woolridge M. J, A Measure of Synergy in Coalitions, CoRR abs/1404.2954 (2014).
  58. Rahwan T., Michalak T. P., Wooldridge M. J., Jennings N. R., Anytime coalition structure generation in multi-agent systems with positive or negative externalities, Artif. Intell. 186, 2012, s. 95-122.
  59. Rahwan T., Michalak T. P., Wooldridge M. J., Jennings N. R., Coalition structure generation: A survey,  Artif. Intell. 229: 139-174 (2015).
  60. Rahwan T., Michalak T. P., Croitoru M., Sroka J., Jennings N. R., A Network Flow Approach to Coalitional Games, ECAI 2010, s. 1017-1018.
  61. Rahwan T., Naroditskiy V., Michalak T. P., Wooldridge M. J., Jennings N. R., Towards
    a Fair Allocation of Rewards in Multi-Level Marketing    , CoRR abs/1404.0542 (2014).
  62. Rahwan T., Nguyen T.-D., Michalak T. P., Polukarov M., Croitoru M., Jennings N. R., Coalitional Games via Network Flows, IJCAI 2013, s. 324-331.
  63. Skibski O., Matejczyk S., Michalak T. P., Wooldridge M. J., Yokoo M., k-Coalitional Cooperative Games, AAMAS 2016: 177-185.
  64. Skibski O., Michalak T. P., Fair division in the presence of externalities, Int. J. Game Theory 49(1): 147-172 (2020).
  65. Skibski O., Michalak T. P., Rahwan T., Axiomatic Characterization of Game-Theoretic Network Centralities, AAAI 2017: 698-705.
  66. Skibski O., Michalak T. P., Rahwan T., Wooldridge, Algorithms for the shapley and myerson values in graph-restricted games, AAMAS 2014, s. 197-204.
  67. Skibski O., Michalak T. P., Sakurai Y., Wooldridge M. J., Yokoo M., Partition decision trees: representation for efficient computation of the Shapley value extended to games with externalities, Auton. Agents Multi Agent Syst. 34(1): 11 (2020).
  68. Skibski O., Michalak T. P., Sakurai Y., Wooldridge M. J., Yokoo M.,
    A Graphical Representation for Games in Partition Function Form.     AAAI 2015, s. 1036-1042.
  69. Skibski O., Michalak T. P., Sakurai Y., Yokoo M., A Pseudo-Polynomial Algorithm for Computing Power Indices in Graph-Restricted Weighted Voting Games, IJCAI 2015, s. 631-637.
  70. Skibski O., Michalak T. P., Wooldridge M. J., The Shapley Axiomatization for Values in Partition Function Games, CoRR abs/1308.6255 (2013).
  71. Skibski O., Michalak T. P., Wooldridge M. J., The Stochastic Shapley Value for coalitional games with externalities, Games Econ. Behav. 108: 65-80 (2018).
  72. Skibski O., Michalewski H., Nagórko A., Michalak T. P., Dowell A. J., Rahwan T., Wooldridge M. J., Non-Utilitarian Coalition Structure Generation, ECAI 2016: 1738-1739.
  73. Skibski O., Rahwan T., Michalak T. P., Wooldridge M. J., Enumerating Connected Subgraphs and Computing the Myerson and Shapley Values in Graph-Restricted Games, ACM Trans. Intell. Syst. Technol. 10(2): 15:1-15:25 (2019).
  74. Skibski O., Rahwan T., Michalak T. P., Yokoo M., Attachment Centrality: An Axiomatic Approach to Connectivity in Networks, AAMAS 2016: 168-176.
  75. Skibski O., Rahwan T., Michalak T. P., Yokoo M., Attachment centrality: Measure for connectivity in networks, Artif. Intell. 274: 151-179 (2019).
  76. Skibski O., Suzuki T., Grabowski T., Michalak T. P., Yokoo M., Signed Graph Games: Coalitional Games with Friends, Enemies and Allies, AAMAS 2020: 1287-1295.
  77. Skowronek Ł., Gora P., Możejko M., Klemenko A., Graph-based Sparse Neural Networks for Traffic Signal Optimization, Proceedings of the 29th International Workshop on Concurrency, Specification and Programming (CS&P 2021), 2021.
  78. Szczepanski P. L., Barcz A. S., Michalak T. P., Rahwan T., The Game-Theoretic Interaction Index on Social Networks with Applications to Link Prediction and Community Detection, IJCAI 2015: s. 638-644.
  79. Szczepanski P. L., Michalak T. P., Rahwan T., A new approach to betweenness centrality based on the Shapley Value, AAMAS 2012, s. 239-246.
  80. Szczepanski P. L., Michalak T. P., Rahwan T., Efficient algorithms for game-theoretic betweenness centrality, Artif. Intell. 231: 39-63 (2016).
  81. Szczepanski P. L, Michalak T. P., Rahwan T., Wooldridge M. J., An Extension of the Owen-Value Interaction Index and Its Application to Inter-Links Prediction. ECAI 2016: 90-98.
  82. Szczepanski P. L., Michalak T. P., Woolridge M. J., A Centrality Measure for Networks With Community Structure Based on a Generalization of the Owen Value, ECAI 2014,
    s. 867-872.
  83. Szczepanski P. L., Tarkowski M. K., Michalak T. P., Harrenstein P., Wooldridge M. J., Efficient Computation of Semivalues for Game-Theoretic Network Centrality, AAAI 2015, s. 461-469.
  84. Szejgis W., Warno A., Gora P., Predicting times of waiting on red signals using BERT, NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving.
  85. Tarkowski M. K., Matejczyk S., Michalak T. P., Wooldridge M. J., Monte Carlo Techniques for Approximating the Myerson Value – Theoretical and Empirical Analysis, CoRR abs/2001.00065 (2020). 
  86. Tarkowski M. K., Michalak T. P., Rahwan T., Wooldridge M. J., Game-theoretic Network Centrality: A Review, CoRR abs/1801.00218 (2018).
  87. Tarkowski M. K., Michalak T. P., Wooldridge M. J., A Game-Theoretic Algorithm for Link Prediction, CoRR abs/1912.12846 (2019).
  88. Tarkowski M. K., Szczepanski P. L., Michalak T. P., Harrenstein P., Wooldridge M. J., Efficient Computation of Semivalues for Game-Theoretic Network Centrality, J. Artif. Intell. Res. 63: 145-189 (2018).
  89. Tarkowski M. K., Szczepanski P. L., Rahwan T., Michalak T. P., Wooldridge M. J., Closeness Centrality for Networks with Overlapping Community Structure, AAAI 2016: 622-629.
  90. Waniek M., Michalak T. P., Alshamsi A., Security Diffusion Games, CoRR abs/1809.08538 (2018).
  91. Waniek M., Michalak T. P., Alshamsi A., Strategic Attack & Defense in Security Diffusion Games, ACM Trans. Intell. Syst. Technol, 11(1): 5:1-5:35 (2020).
  92. Waniek M., Michalak T. P., Rahwan T., Hiding in Multilayer Networks, AAAI 2020: 1021-1028.
  93. Waniek M., Michalak T. P., Rahwan T., Hiding in Multilayer Networks, CoRR abs/1911.05947 (2019).
  94. Waniek M., Michalak T. P., Rahwan T., Wooldridge M. J., Hiding Individuals and Communities in a Social Network, CoRR abs/1608.00375 (2016).
  95. Waniek M., Michalak T. P., Rahwan T., Wooldridge M. J., On the Construction of Covert Networks, AAMAS 2017: 1341-1349.
  96. Waniek M., Niescieruk A., Michalak T. P., Rahwan T., Spiteful Bidding in the Dollar Auction, IJCAI 2015, s. 667-673.
  97. Waniek M., Tran-Thanh L., Michalak T. P., Repeated Dollar Auctions: A Multi-Armed Bandit Approach, AAMAS 2016: 579-587.
  98. Waniek M., Tran-Thanh L., Michalak T. P., Jennings N. R., The Dollar Auction with Spiteful Players, AAAI 2017: 736-742.
  99. Waniek M., Woznica J., Zhou K., Vorobeychik Y., Rahwan T., Michalak T. P., Strategic Evasion of Centrality Measures, AAMAS 2021: 1389-1397.
  100. Waniek M., Woznica J., Zhou K., Vorobeychik Y., Rahwan T., Michalak T. P., Strategic Evasion of Centrality Measures, CoRR abs/2101.10648 (2021).
  101. Waniek M., Zhou K., Vorobeychik Y., Moro E., Michalak T. P., Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network, CoRR abs/1809.00152 (2018).
  102. Was T., Waniek M., Rahwan T., Michalak T. P., The Manipulability of Centrality Measures-An Axiomatic Approach, AAMAS 2020: 1467-1475.
  103. Wasilewski P., Gora P., Traffic-related Knowledge Acquired by Interaction with Experts, in Proceedings of the Workshop Concurrency, Specification
    & Programming’2014    , Chemnitz, Sept. 29 – Oct. 1, 2014, Informatik-Berichte der HUB Nr. 245, pp. 269-280, 2014.
  104. Zhou K., Michalak T. P., Rahwan T., Waniek M., Vorobeychik Y.,
    Adversarial Link Prediction in Social Networks    , CoRR abs/1809.08368 (2018).
  105. Zhou K., Michalak T. P., Vorobeychik Y., Adversarial Robustness of Similarity-Based Link Prediction, CoRR abs/1909.01432 (2019).
  106. Zhou K., Michalak T. P., Vorobeychik Y., Adversarial Robustness of Similarity-Based Link Prediction, ICDM 2019: 926-935.
  107. Zhou K., Michalak T. P., Waniek M., Rahwan T., Vorobeychik Y., Attacking Similarity-Based Link Prediction in Social Networks, AAMAS 2019: 305-313.

Projekty

1. Covid-19 risk calculator, autorzy: MI2 DataLab, Grupa MOCOS, link do projektu: https://crs19.pl/.

2. Strategiczna analiza sieci społecznych, projekt realizowany w ramach grantu Narodowego Centrum Nauki, kierownik grantu: dr Tomasz Michalak.

3. Transfer wiedzy i meta-uczenie, projekt realizowany w ramach IDUB, kierownik projektu: dr hab. Marek Cygan, prof. ucz., informacje na temat projektu: https://inicjatywadoskonalosci.uw.edu.pl/dzialania/i-3-1/.

4. X-LUNGS: Responsible Artificial Intelligence for Lung Diseases, projekt realizowany
w ramach grantu Narodowego Centrum Badań i Rozwoju, 2020-2024.

Dydaktyka

1. Machine Learning – studia II stopnia (w ramach Projektu AI-Tech; koordynatorzy projektu: dr hab. Marek Cygan, prof. UW; dr hab. Aleksy Schubert, prof. UW).

Koła naukowe

Koło Naukowe Uczenia Maszynowego, strona internetowa koła: https://knum.mimuw.edu.pl/, FB: https://www.facebook.com/KNUM.MIMUW.