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ALICAT: a customized approach to item selection process in computerized adaptive testing., , , , and . J. Braz. Comput. Soc., 26 (1): 4 (2020)Aprendizado de Máquina em Sistemas de Recomendação Baseados em Conteúdo Textual: Uma Revisão Sistemática Machine Learning in Textual Content-Based Recommendation Systems: A Systematic Review., , , and . SBSI, page 203-210. ACM, (2015)Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs., , , and . AAMAS, page 2364-2366. ACM, (2023)Risk Sensitive Markov Decision Process for Portfolio Management., , and . MICAI (1), volume 12468 of Lecture Notes in Computer Science, page 370-382. Springer, (2020)An Exact Algorithm to Make a Trade-Off between Cost and Probability in SSPs., , and . ICAPS, page 146-154. AAAI Press, (2019)Comprehensive Empirical Analysis of Stop Criteria in Computerized Adaptive Testing., and . CSEDU (1), page 48-59. SCITEPRESS, (2021)GUBS: a Utility-Based Semantic for Goal-Directed Markov Decision Processes., and . AAMAS, page 741-749. ACM, (2017)Risk-Sensitive Piecewise-Linear Policy Iteration for Stochastic Shortest Path Markov Decision Processes., , , , and . MICAI (1), volume 12468 of Lecture Notes in Computer Science, page 383-395. Springer, (2020)Challenging situations for background subtraction algorithms., , , and . Appl. Intell., 49 (5): 1771-1784 (2019)PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms., , , , and . Multim. Tools Appl., 78 (22): 32393-32417 (2019)