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Post-processing a classifier's predictions: Strategies and empirical evaluation.

, , , and . ECAI, volume 263 of Frontiers in Artificial Intelligence and Applications, page 965-966. IOS Press, (2014)

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Special journal issue on Uncertainty, Heterogeneity, Reliability and Explainability in AI., and . Int. J. Approx. Reason., (November 2023)Compatible-Based Conditioning in Interval-Based Possibilistic Logic., , , and . IJCAI, page 2777-2783. AAAI Press, (2015)Intelligence Systems: Trends and Challenges., , and . AI Magazine, 38 (4): 87-88 (2017)Possibilistic Networks: Computational Analysis of MAP and MPE Inference., , and . Int. J. Artif. Intell. Tools, 29 (03n04): 2060005:1-2060005:28 (2020)Min-based causal possibilistic networks: Handling interventions and analyzing the possibilistic counterpart of Jeffrey's rule of conditioning., and . ECAI, volume 215 of Frontiers in Artificial Intelligence and Applications, page 943-948. IOS Press, (2010)On the Revision of Prioritized DL-Lite Knowledge Bases., , and . SUM, volume 8720 of Lecture Notes in Computer Science, page 22-36. Springer, (2014)On the Use of Min-Based Revision Under Uncertain Evidence for Possibilistic Classifiers., and . IFSA/EUSFLAT Conf., page 1223-1228. (2009)Anomaly Detection in Real Scarce Data: A Case Study on Monitoring Elderly's Physical Activity and Sleep., and . BIBE, page 385-392. IEEE, (2023)Special Track on Uncertain Reasoning., and . FLAIRS, page 506. AAAI Press, (2018)Reasoning with Uncertain Inputs in Possibilistic Networks., and . KR, AAAI Press, (2014)