J. Artif. Intell. Res.

Publications

volume 79, 2024

Yixin Chen, Alan Kuhnle
Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint. J. Artif. Intell. Res. 79 (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 (2024)
Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Query-driven Qualitative Constraint Acquisition. J. Artif. Intell. Res. 79 (2024)
Florian Felten, El-Ghazali Talbi, Grégoire Danoy
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework. J. Artif. Intell. Res. 79 (2024)
Hans van Ditmarsch, Sunil Simon
Boolean Observation Games. J. Artif. Intell. Res. 79 (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 (2024)
Evan Yifan Xu, Pan Xu
Exploring the Tradeoff Between System Profit and Income Equality Among Ride-hailing Drivers. J. Artif. Intell. Res. 79 (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 (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 (2024)
Giorgio Franceschelli, Mirco Musolesi
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges. J. Artif. Intell. Res. 79 (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 (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 (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 (2024)
Ilario Bonacina, Maria Luisa Bonet, Jordi Levy
Weighted, Circular and Semi-Algebraic Proofs. J. Artif. Intell. Res. 79 (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 (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 (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 (2024)

volume 78, 2023

volume 77, 2023