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Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function., , , и . WILF, том 3074 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Early analysis of requirements using NLP and Petri-nets., и . J. Syst. Softw., (февраля 2024)Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco)., , и . SIMBig, том 1837 из Communications in Computer and Information Science, стр. 158-174. Springer, (2022)Introducing Computer Science Undergraduate Students to DevOps Technologies from Software Engineering Fundamentals., , и . SEET@ICSE, стр. 348-358. ACM, (2024)Genetic learning of fuzzy rule bases for multi-label classification using an iterative approach., , и . FUZZ-IEEE, стр. 1-8. IEEE, (2020)Towards the improvement of natural language requirements descriptions: the C&&L tool., , , и . SAC, стр. 1405-1413. ACM, (2020)A Persuasive System for Stress Detection and Management in an Educational Environment., , и . GIOTS, том 13533 из Lecture Notes in Computer Science, стр. 239-249. Springer, (2022)An Emotion-Aware Persuasive Architecture to Support Challenging Classroom Situations., , и . ICCE, стр. 1-2. IEEE, (2022)