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ORCIDJournal of Artificial Intelligence Research, Volume 71
Volume 71, 2021
- Ludwig Dierks, Ian A. Kash, Sven Seuken:
On the Cluster Admission Problem for Cloud Computing. 1-40 - Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis:
Game Plan: What AI can do for Football, and What Football can do for AI. 41-88 - Xindi Zhang, Bohan Li
, Shaowei Cai, Yiyuan Wang:
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set. 89-119 - Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. 121-142 - Martin Bullinger, Warut Suksompong, Alexandros A. Voudouris:
Welfare Guarantees in Schelling Segregation. 143-174 - Imke van Heerden, Anil Bas:
Viewpoint: AI as Author - Bridging the Gap Between Machine Learning and Literary Theory. 175-189 - Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez:
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks. 191-236 - Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng:
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. 237-263 - Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo:
Declarative Algorithms and Complexity Results for Assumption-Based Argumentation. 265-318 - Divya Koyyalagunta, Anna Y. Sun, Rachel Lea Draelos, Cynthia Rudin:
Playing Codenames with Language Graphs and Word Embeddings. 319-346 - Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy:
A Tight Bound for Stochastic Submodular Cover. 347-370 - Laura Perez-Beltrachini, Mirella Lapata:
Multi-Document Summarization with Determinantal Point Process Attention. 371-399 - Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz:
Representative Committees of Peers. 401-429 - Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. 431-478 - Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague:
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. 479-519 - Pavel Naumov, Yuan Yuan:
Intelligence in Strategic Games. 521-556 - Marta Caro-Martínez, Guillermo Jiménez-Díaz, Juan A. Recio-García:
Conceptual Modeling of Explainable Recommender Systems: An Ontological Formalization to Guide Their Design and Development. 557-589 - Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe:
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. 591-666 - Ye Zhu, Kai Ming Ting:
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel. 667-695 - Thao Le, Ronal Singh, Tim Miller:
Goal Recognition for Deceptive Human Agents through Planning and Gaze. 697-732 - John Grant, Maria Vanina Martinez, Cristian Molinaro, Francesco Parisi:
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases. 733-780 - Silvan Sievers, Malte Helmert:
Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems. 781-883 - Mateusz Jurewicz, Leon Derczynski:
Set-to-Sequence Methods in Machine Learning: A Review. 885-924 - Justin Fu, Andrea Tacchetti, Julien Pérolat, Yoram Bachrach:
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning. 925-951 - Roberto Capobianco, Varun Raj Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone:
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. 953-992 - Niclas Boehmer, Robert Bredereck, Klaus Heeger, Rolf Niedermeier:
Bribery and Control in Stable Marriage. 993-1048 - Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Giulia Landriani:
Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition. 1049-1090 - Michael Saint-Guillain, Tiago Vaquero, Steve A. Chien, Jagriti Agrawal, Jordan R. Abrahams:
Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility. 1091-1136 - Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. 1137-1181 - Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow:
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods. 1183-1317
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