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Publication search results
found 14 matches
- 2023
- Timothy van Bremen, Ondrej Kuzelka:
Lifted inference with tree axioms. Artif. Intell. 324: 103997 (2023) - Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. 324: 103995 (2023) - Wolfgang Dvorák, Anna Rapberger, Stefan Woltran:
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness. Artif. Intell. 324: 104011 (2023) - Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov:
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. Artif. Intell. 324: 104012 (2023) - Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324: 103996 (2023) - Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Risk-aware shielding of Partially Observable Monte Carlo Planning policies. Artif. Intell. 324: 103987 (2023) - Avraham Natan, Meir Kalech, Roman Barták:
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach. Artif. Intell. 324: 103994 (2023) - Daniel Neamati, Sriramya Bhamidipati, Grace Xingxin Gao:
Risk-aware autonomous localization in harsh urban environments with mosaic zonotope shadow matching. Artif. Intell. 324: 104000 (2023) - Sadegh Rabiee, Joydeep Biswas:
Introspective perception for mobile robots. Artif. Intell. 324: 103999 (2023) - João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo:
TEAMSTER: Model-based reinforcement learning for ad hoc teamwork. Artif. Intell. 324: 104013 (2023) - 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. Artif. Intell. 324: 104001 (2023) - Pankaj R. Telang, Munindar P. Singh, Neil Yorke-Smith:
Maintenance commitments: Conception, semantics, and coherence. Artif. Intell. 324: 103993 (2023) - Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324: 103991 (2023)
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