Publikacje

Czasopismo: ARTIFICIAL INTELLIGENCE

Liczba publikacji: 19

2025

• Stephen Kobourov, Maarten Löffler, Fabrizio Montecchiani, Marcin Pilipczuk , Ignaz Rutter, Raimund Seidel, Manuel Sorge, Jules Wulms, The influence of dimensions on the complexity of computing decision trees, ARTIFICIAL INTELLIGENCE, 343 2025, s. 104322: 1-12. Zobacz w PBN

2024

• Michał Godziszewski , Marcin Waniek , Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz Michalak , Adversarial analysis of similarity-based sign prediction, ARTIFICIAL INTELLIGENCE, 335 2024, s. 1-29. Zobacz w PBN
• Patrick Doherty, Andrzej Szałas , Dual Forgetting Operators in the Context of Weakest Sufficient and Strongest Necessary Conditions, ARTIFICIAL INTELLIGENCE, 326 2024, s. 104036. Zobacz w PBN

2023

• Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung, Filip Murlak , Answering regular path queries mediated by unrestricted SQ ontologies, ARTIFICIAL INTELLIGENCE, 314 2023, s. 103808. Zobacz w PBN
• Tomasz Wąs, Oskar Skibski , Axiomatic characterization of PageRank, ARTIFICIAL INTELLIGENCE, 318 2023, s. 103900: 1-38. Zobacz w PBN

2022

• Julien Baste, Michael R. Fellows, Lars Jaffke, Tomáš Masařík , Mateus de Oliveira Oliveira, Geevarghese Philip, Frances A. Rosamond, Diversity of solutions: An exploration through the lens of fixed-parameter tractability theory, ARTIFICIAL INTELLIGENCE, 303 2022, s. 103644. Zobacz w PBN
• Oskar Skibski , Takamasa Suzuki, Tomasz Grabowski, Yuko Sakurai, Tomasz Michalak , Makoto Yokoo, Measuring power in coalitional games with friends, enemies and allies, ARTIFICIAL INTELLIGENCE, 313 2022, s. 103792, 1-28. Zobacz w PBN

2021

• Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier, Piotr Skowron , Nimrod Talmon, Robustness among multiwinner voting rules, ARTIFICIAL INTELLIGENCE, 2021. Zobacz w PBN

2020

• Martin Lackner, Piotr Skowron , Utilitarian welfare and representation guarantees of approval-based multiwinner rules, ARTIFICIAL INTELLIGENCE, 288 2020, s. 103366. Zobacz w PBN

2019

• Oskar Skibski , Talal Rahwan, Tomasz Michalak , Makoto Yokoo, Attachment Centrality: Measure for Connectivity in Networks, ARTIFICIAL INTELLIGENCE, 274 2019, s. 151-179. Zobacz w PBN

2018

• Elliot Anshelevich, Onkar Bhardwaj, Edith Elkind, John Postl, Piotr Skowron , Approximating optimal social choice under metric preferences, ARTIFICIAL INTELLIGENCE, 264 2018, s. 27-51. Zobacz w PBN
• Jérôme Lang, Piotr Skowron , Multi-attribute proportional representation, ARTIFICIAL INTELLIGENCE, 263 2018, s. 74-106. Zobacz w PBN

2016

• Edith Elkind, Nicholas R. Jennings, Tomasz Michalak , Talal Rahwan, Michael Wooldridge, A hybrid exact algorithm for complete set partitioning, ARTIFICIAL INTELLIGENCE, 2016. Zobacz w PBN
• Tomasz Michalak , Talal Rahwan, Piotr Szczepański, Efficient algorithms for game-theoretic betweenness centrality, ARTIFICIAL INTELLIGENCE, 2016. Zobacz w PBN
• Piotr Faliszewski, Jerome Lang, Piotr Skowron , Finding a collective set of items: From proportional multirepresentation to group recommendation, ARTIFICIAL INTELLIGENCE, 2016. Zobacz w PBN

2015

• Piotr Faliszewski, Piotr Skowron , Arkadii Slinko, Achieving fully proportional representation: Approximability results, ARTIFICIAL INTELLIGENCE, 2015. Zobacz w PBN
• Nick R. Jennings, Tomasz Michalak , Talal Rahwan, Michael Wooldridge, Coalition structure generation: A survey, ARTIFICIAL INTELLIGENCE, 229 2015, s. 139-174. Zobacz w PBN

2012

• Nicholas R. Jennings, Tomasz Michalak , Talal Rahwan, Michael Wooldridge, Anytime coalition structure generation in multi-agent systems with positive or negative externalities., ARTIFICIAL INTELLIGENCE, 2012. Zobacz w PBN
• Anh Linh Nguyen, Hung Son Nguyen , On designing the SONCA system, ARTIFICIAL INTELLIGENCE, 2012. Zobacz w PBN