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Artificial Intelligence, Volume 324
Volume 324, November 2023
- Giulio Mazzi
, Alberto Castellini, Alessandro Farinelli
:
Risk-aware shielding of Partially Observable Monte Carlo Planning policies. 103987 - Xuetong Wu
, Jonathan H. Manton
, Uwe Aickelin
, Jingge Zhu
:
A Bayesian approach to (online) transfer learning: Theory and algorithms. 103991 - Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. 103992 - Pankaj R. Telang, Munindar P. Singh
, Neil Yorke-Smith
:
Maintenance commitments: Conception, semantics, and coherence. 103993 - Avraham Natan
, Meir Kalech, Roman Barták:
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach. 103994 - Eoin Delaney, Arjun Pakrashi, Derek Greene
, Mark T. Keane:
Counterfactual explanations for misclassified images: How human and machine explanations differ. 103995 - Pengqing Hu, Zhaohao Lin
, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. 103996 - Timothy van Bremen, Ondrej Kuzelka:
Lifted inference with tree axioms. 103997 - Sadegh Rabiee
, Joydeep Biswas:
Introspective perception for mobile robots. 103999 - Daniel Neamati
, Sriramya Bhamidipati, Grace Xingxin Gao:
Risk-aware autonomous localization in harsh urban environments with mosaic zonotope shadow matching. 104000 - Richard S. Sutton, Marlos C. Machado
, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-respecting subtasks for model-based reinforcement learning. 104001 - Wolfgang Dvorák, Anna Rapberger
, Stefan Woltran:
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness. 104011 - Maksim Golyadkin, Vitaliy Pozdnyakov
, Leonid Zhukov, Ilya Makarov
:
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. 104012 - João G. Ribeiro
, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo:
TEAMSTER: Model-based reinforcement learning for ad hoc teamwork. 104013
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