Michalak, Tomasz P.

1. The Shapley Axiomatization for Values in Partition Function Games
   2013/08/28 by Oskar Skibski, Skibski, Oskar, Tomasz P. Michalak +3 · 1 citation
   Computer Science · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #cs.GT
2. How good is the Shapley value-based approach to the influence maximization problem?
   2014/09/27 by Kamil Adamczewski, Adamczewski, Kamil, Szymon Matejczyk +4 · 1 citation
   Computer Science · Mathematics · Physics and Astronomy · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #I.2.1 #Multiagent Systems (cs.MA) #Social and Information Networks (cs.SI) #cs.AI #cs.MA #cs.SI
3. Game-theoretic Network Centrality: A Review
   2017/12/31 by Mateusz Tarkowski, Tarkowski, Mateusz K., Tomasz Michalak +5 · 1 citation
   Decision Sciences · Economics, Econometrics and Finance · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Game Theory and Voting Systems
4. Coupled-Space Attacks against Random-Walk-based Anomaly Detection
   2023/07/26 by Yuni Lai, Marcin Waniek, Lai, Yuni +13 · 1 citation
   Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Network Security and Intrusion Detection
5. Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
   2023/08/02 by Xing Ai, Ai, Xing, Jialong Zhou +11 · 1 citation
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
6. Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
   2024/05/20 by Podhajski, Marcin, Dubiński, Jan, Boenisch, Franziska +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)