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Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support.

, , , , , , , and . TENCON, page 683-688. IEEE, (2018)

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Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support., , , , , , , and . TENCON, page 683-688. IEEE, (2018)Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP., , , and . CP, volume 210 of LIPIcs, page 42:1-42:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Learn and route: learning implicit preferences for vehicle routing., , , and . Constraints An Int. J., 28 (3): 363-396 (September 2023)Discrete solution pools and noise-contrastive estimation for predict-and-optimize., , , , , and . CoRR, (2020)Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support., , , , , , , and . CoRR, (2019)Decision-Focused Learning: Through the Lens of Learning to Rank., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14935-14947. PMLR, (2022)Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems., , , and . AAAI, page 1603-1610. AAAI Press, (2020)Contrastive Losses and Solution Caching for Predict-and-Optimize., , , , , and . IJCAI, page 2833-2840. ijcai.org, (2021)Interior Point Solving for LP-based prediction+optimisation., and . NeurIPS, (2020)Hybrid Classification and Reasoning for Image-Based Constraint Solving., , , and . CPAIOR, volume 12296 of Lecture Notes in Computer Science, page 364-380. Springer, (2020)