paper-conference | Eva Zangerle

Overview of the Style Change Detection Task at PAN 2022

Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle

Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition

Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle

Novel Datasets for Evaluating Song Popularity Prediction Tasks

Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle

Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection

Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection

Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Overview of the Style Change Detection Task at PAN 2021

Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein

Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)

Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together …

Eva Zangerle, Christine Bauer, Alan Said

Recognizing Song Mood and Theme: Clustering-based Ensembles

Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle

Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups

Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle