Zeige alle

Dacrema, Maurizio Ferrari; Cremonesi, Paolo; Jannach, Dietmar

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Artikel

In: Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019.

Abstract | Links | BibTeX | Schlagwörter: evolutionary computing, information retrieval, machine learning, neural computing, O

Kim, Byung-Hak; Ganapathi, Varun

LumièreNet: Lecture Video Synthesis from Audio Artikel

In: CoRR, Bd. bs/1907.02253, 2019.

Abstract | Links | BibTeX | Schlagwörter: audio processing, computer vision, lectures, machine learning, O, pattern recognition, speech processing

Kemper, Lorenz

Predicting Student Dropout: A Machine Learning Approach Unveröffentlicht


Abstract | Links | BibTeX | Schlagwörter: descision trees, dropout, higher education, logistic regression, machine learning, massive open online courses (MOOCs), O, prediction, students, Studienerfolg