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Application of E 2 M Decision Trees to Rubber Quality Prediction.

, , и . IPMU (1), том 442 из Communications in Computer and Information Science, стр. 107-116. Springer, (2014)

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William Banks Sutton

Nicolas Jeanvoine

Plasma-material interaction and electrode degradation in high voltage ignition discharges. Uni Saarbrücken, (2009)

Nicolas Trapp

Nicolas Rüsch

Nicolas Haas

 

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Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation.. IPMU (2), том 1238 из Communications in Computer and Information Science, стр. 368-381. Springer, (2020)Application of E 2 M Decision Trees to Rubber Quality Prediction., , и . IPMU (1), том 442 из Communications in Computer and Information Science, стр. 107-116. Springer, (2014)The AffectMove Challenge: some machine learning approaches., , , , и . ACII (Workshops and Demos), стр. 1-5. IEEE, (2021)On the evaluation of retrofitting for supervised short-text classification., , , , и . JOWO, том 2708 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention., , , , , и . BELIEF, том 13506 из Lecture Notes in Computer Science, стр. 297-306. Springer, (2022)Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches., , , и . Inf. Process. Manag., 58 (6): 102721 (2021)Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy., , , и . Knowl. Based Syst., (2022)Apports des ontologies aux systèmes de recommandation : état de l'art et perspectives., , , и . IC, стр. 64-77. (2019)Filtrage crédibiliste et gradient spatio-temporel pour l'analyse des micro-mouvements dans le cadre de la prévention des escarres., , , , , и . LFA, Cépaduès, (2022)Learning Decision Trees from Uncertain Data with an Evidential EM Approach., , и . ICMLA (1), стр. 111-116. IEEE, (2013)