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Player Behavior Profiling through Provenance Graphs and Representation Learning.

, , , , and . FDG, page 62:1-62:11. ACM, (2020)

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Querying XML documents using Prolog engines: When is this a good idea?, , , , and . Inf. Process. Manag., 56 (5): 1753-1770 (2019)Gerência de Incerteza em Bancos de Dados de Proveniência de Workflows de Bioinformática., , , , and . SBBD, page 181-186. SBC, (2016)Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches., , , and . CoRR, (2023)On the formal characterization of the FORTE_MBC theory revision operators., , and . J. Log. Comput., 27 (8): 2551-2580 (2017)Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs., , , , , and . Future Gener. Comput. Syst., (2020)Evaluation between humans and affective NPC in digital gaming scenario., , , , , and . SeGAH, page 1-8. IEEE Computer Society, (2014)Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples., , , and . ILP, volume 5989 of Lecture Notes in Computer Science, page 123-130. Springer, (2009)Screening for Depressed Individuals by Using Multimodal Social Media Data., , and . AAAI, page 15722-15723. AAAI Press, (2021)Detecting Depression from Social Media Data as a Multiple-Instance Learning Task., , and . ACII, page 1-8. IEEE, (2022)Revising First-Order Logic Theories from Examples Through Stochastic Local Search., , and . ILP, volume 4894 of Lecture Notes in Computer Science, page 200-210. Springer, (2007)