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Artificial Intelligence, Volume 324

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Volume 324, November 2023

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  - journals/ai/MazziCF23
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Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Risk-aware shielding of Partially Observable Monte Carlo Planning policies. 103987
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  - journals/ai/WuMAZ23
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Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian approach to (online) transfer learning: Theory and algorithms. 103991
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  - journals/ai/LinLPYM23
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Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. 103992
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  - journals/ai/TelangSY23
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Pankaj R. Telang, Munindar P. Singh, Neil Yorke-Smith:
Maintenance commitments: Conception, semantics, and coherence. 103993
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Avraham Natan, Meir Kalech, Roman Barták:
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach. 103994
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  - journals/ai/DelaneyPGK23
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Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual explanations for misclassified images: How human and machine explanations differ. 103995
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  - journals/ai/HuLPYPM23
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Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. 103996
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Timothy van Bremen, Ondrej Kuzelka:
Lifted inference with tree axioms. 103997
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Sadegh Rabiee, Joydeep Biswas:
Introspective perception for mobile robots. 103999
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  - journals/ai/NeamatiBG23
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Daniel Neamati, Sriramya Bhamidipati, Grace Xingxin Gao:
Risk-aware autonomous localization in harsh urban environments with mosaic zonotope shadow matching. 104000
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  - journals/ai/SuttonMHSTTW23
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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
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  - journals/ai/DvorakRW23
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Wolfgang Dvorák, Anna Rapberger, Stefan Woltran:
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness. 104011
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  - journals/ai/GolyadkinPZM23
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Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov:
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. 104012
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João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo:
TEAMSTER: Model-based reinforcement learning for ad hoc teamwork. 104013

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