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Dacrema, Maurizio Ferrari; Cremonesi, Paolo; Jannach, Dietmar: Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches. Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019. (Typ: Artikel | Abstract | Links | BibTeX | Schlagwörter: evolutionary computing, information retrieval, machine learning, neural computing, O) Copyright
Besprochen in Bldg-Alt-Entf #18
Kim, Byung-Hak; Ganapathi, Varun: LumièreNet: Lecture Video Synthesis from Audio. CoRR, bs/1907.02253 , 2019. (Typ: Artikel | Abstract | Links | BibTeX | Schlagwörter: audio processing, computer vision, lectures, machine learning, O, pattern recognition, speech processing) Copyright
Besprochen in Bldg-Alt-Entf #18
Kemper, Lorenz: Predicting Student Dropout: A Machine Learning Approach. 2018. (Typ: Unveröffentlicht | Abstract | Links | BibTeX | Schlagwörter: descision trees, dropout, higher education, logistic regression, machine learning, massive open online courses (MOOCs), O, prediction, students, Studienerfolg) Copyright
Besprochen in Bldg-Alt-Entf #7