Journal Stats

  • Research Direction: Engineering
  • Sci Category: SCI/SCIE
  • Total downloads: 10235times

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Journal ISSN: 1076-9757

JCR: Q3

Impact Factor: 1.82

Articles

On CNF Conversion for SAT and SMT Enumeration

Gabriele Masina, Giuseppe Spallitta, Roberto Sebastiani
Published: Jul 12, 2025
DOI: https://doi.org/10.1613/jair.1.16870
Keywords:satisfiability, automated reasoning, probabilistic reasoning

Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey

Zijun Gao,Haibao Liu,Lingbo Li
Published: Jun 30, 2025
DOI: https://doi.org/10.1613/jair.1.17084
Keywords:Deep Learning, Time Series, Machine Learining

Improved Regret Bounds for Bandits with Expert Advice
Nicolò Cesa-Bianchi,Khaled Eldowa,Emmanuel Esposito,Julia Olkhovskaya
Published: Jul 6, 2025
DOI: https://doi.org/10.1613/jair.1.16738
Keywords:multi-armed bandits
Parameterized Analysis of Bribery in Challenge the Champ Tournaments

Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
Published: Jul 6, 2025
Doi: https://doi.org/10.1613/jair.1.17239
Keywords:game theory, Computational Social Choice, computational complexity, Algorithms

Explainability via Short Formulas: the Case of Propositional Logic with Implementation
Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander
Published: Jul 6, 2025
DOI: https://doi.org/10.1613/jair.1.17422
Keywords:mathematical foundations, logic programming, explainability, logic

Introduction

JAIR is a leading open-access journal dedicated to publishing high-quality research articles in all areas of artificial intelligence (AI). It covers theoretical foundations, algorithms, systems, and applications across the broad AI spectrum.

Editorial Board

Editor-in-Chief: Holger Hoos
Associate Editor-in-Chief: Malte Helmert
Surveys Editor: Dragomir Radev
Award Track Editor: Thomas Schiex

Aims & Scope

  • Machine learning and statistical learning
  • Knowledge representation and reasoning
  • Planning and decision making
  • Natural language processing
  • Computer vision
  • Robotics and autonomous agents
  • Multi-agent systems
  • AI ethics and fairness
  • Cognitive modeling
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