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Publication search results
found 1,580 matches
- 2024
- Stefano Ardizzoni, Irene Saccani, Luca Consolini, Marco Locatelli, Bernhard Nebel:
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees. J. Artif. Intell. Res. 79: 483-514 (2024) - Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker:
Query-driven Qualitative Constraint Acquisition. J. Artif. Intell. Res. 79: 241-271 (2024) - Niclas Boehmer, Klaus Heeger, Stanislaw Szufa:
A Map of Diverse Synthetic Stable Matching Instances. J. Artif. Intell. Res. 79: 1113-1166 (2024) - Ilario Bonacina, Maria Luisa Bonet, Jordi Levy:
Weighted, Circular and Semi-Algebraic Proofs. J. Artif. Intell. Res. 79: 447-482 (2024) - Pingping Cao, Yanping Zhu, Yuhao Jin, Benkun Ruan, Qiang Niu:
DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection. J. Artif. Intell. Res. 79: 1091-1112 (2024) - Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li:
Detecting Change Intervals with Isolation Distributional Kernel. J. Artif. Intell. Res. 79: 273-306 (2024) - Anujit Chakraborty, Jatin Jindal, Swaprava Nath:
Removing Bias and Incentivizing Precision in Peer-grading. J. Artif. Intell. Res. 79: 1001-1046 (2024) - Yixin Chen, Alan Kuhnle:
Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint. J. Artif. Intell. Res. 79: 599-637 (2024) - Hans van Ditmarsch, Sunil Simon:
Boolean Observation Games. J. Artif. Intell. Res. 79: 307-357 (2024) - Wolfgang Dvorák, Matthias König, Markus Ulbricht, Stefan Woltran:
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks. J. Artif. Intell. Res. 79: 69-136 (2024) - Shaheen Fatima, Nicholas R. Jennings, Michael J. Wooldridge:
Learning to Resolve Social Dilemmas: A Survey. J. Artif. Intell. Res. 79: 895-969 (2024) - Florian Felten, El-Ghazali Talbi, Grégoire Danoy:
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework. J. Artif. Intell. Res. 79: 679-723 (2024) - Giorgio Franceschelli, Mirco Musolesi:
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges. J. Artif. Intell. Res. 79: 417-446 (2024) - Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. J. Artif. Intell. Res. 79: 515-567 (2024) - Alexandre Lemos, Filipe Gouveia, Pedro T. Monteiro, Inês Lynce:
Iterative Train Scheduling under Disruption with Maximum Satisfiability. J. Artif. Intell. Res. 79: 1047-1090 (2024) - Xingwei Liang, Geng Tu, Jiachen Du, Ruifeng Xu:
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations. J. Artif. Intell. Res. 79: 825-863 (2024) - Zari McFadden, Lauren Alvarez:
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression. J. Artif. Intell. Res. 79: 777-799 (2024) - Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. J. Artif. Intell. Res. 79: 725-776 (2024) - Aditya Mohan, Amy Zhang, Marius Lindauer:
Structure in Deep Reinforcement Learning: A Survey and Open Problems. J. Artif. Intell. Res. 79: 1167-1236 (2024) - Alex Moore, Davide Morelli:
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection. J. Artif. Intell. Res. 79: 801-824 (2024) - Arseniy Pertzovsky, Roie Zivan, Noa Agmon:
Collision Avoiding Max-Sum for Mobile Sensor Teams. J. Artif. Intell. Res. 79: 1281-1311 (2024) - Uwe Peters, Mary Carman:
Cultural Bias in Explainable AI Research: A Systematic Analysis. J. Artif. Intell. Res. 79: 971-1000 (2024) - Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger:
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities. J. Artif. Intell. Res. 79: 359-415 (2024) - Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes:
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. J. Artif. Intell. Res. 79: 137-171 (2024) - Jérémie Sublime:
The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence. J. Artif. Intell. Res. 79: 41-67 (2024) - Alessandro Suglia, Ioannis Konstas, Oliver Lemon:
Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models. J. Artif. Intell. Res. 79: 173-239 (2024) - Oskar van der Wal, Dominik Bachmann, Alina Leidinger, Leendert van Maanen, Willem H. Zuidema, Katrin Schulz:
Undesirable Biases in NLP: Addressing Challenges of Measurement. J. Artif. Intell. Res. 79: 1-40 (2024) - Yufan Wang, Zijing Wang, Kai Ming Ting, Yuanyi Shang:
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection. J. Artif. Intell. Res. 79: 865-893 (2024) - Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter:
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. J. Artif. Intell. Res. 79: 639-677 (2024) - Evan Yifan Xu, Pan Xu:
Exploring the Tradeoff Between System Profit and Income Equality Among Ride-hailing Drivers. J. Artif. Intell. Res. 79: 569-597 (2024)
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