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Maximilian Mayerl
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2020 – today
- 2024
- [c24]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Multi-Author Writing Style Analysis Task at PAN 2024. CLEF (Working Notes) 2024: 2424-2431 - [c23]Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. ECIR (6) 2024: 3-10 - [c22]Moritz Albrecht, Magdalena Eder, Kai Erenli, Leonie Fankhauser, Maximilian Mayerl, Leonard Petak, Victoria Schachinger:
The VR Chronicles: Insights from the VR Factsheet 2024. GEM 2024: 1-6 - [d2]Eva Zangerle
, Maximilian Mayerl
, Martin Potthast
, Benno Stein
:
PAN24 Multi-Author Writing Style Analysis. Zenodo, 2024 - 2023
- [c21]Maximilian Mayerl, Michael Vötter, Günther Specht, Eva Zangerle:
Pairwise Learning to Rank for Hit Song Prediction. BTW 2023: 555-565 - [c20]Janek Bevendorff, Ian Borrego-Obrador, Mara Chinea-Rios, Marc Franco-Salvador, Maik Fröbe, Annina Heini, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Condensed Lab Overview. CLEF 2023: 459-481 - [c19]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Multi-Author Writing Style Analysis Task at PAN 2023. CLEF (Working Notes) 2023: 2513-2522 - [c18]Janek Bevendorff, Mara Chinea-Rios, Marc Franco-Salvador, Annina Heini
, Erik Körner
, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract. ECIR (3) 2023: 518-526 - 2022
- [j2]Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle
:
HSP Datasets: Insights on Song Popularity Prediction. Int. J. Semantic Comput. 16(2): 233-255 (2022) - [c17]Janek Bevendorff, Berta Chulvi
, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reynier Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. CLEF 2022: 382-394 - [c16]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2022. CLEF (Working Notes) 2022: 2344-2356 - [c15]Janek Bevendorff, Berta Chulvi
, Elisabetta Fersini, Annina Heini
, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reyner Ortega-Bueno, Piotr Pezik
, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos
, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle
:
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract. ECIR (2) 2022: 331-338 - [c14]Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle:
Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. ISMIR 2022: 884-890 - [d1]Eva Zangerle
, Maximilian Mayerl
, Michael Tschuggnall, Martin Potthast
, Benno Stein
:
PAN22 Authorship Analysis: Style Change Detection. Zenodo, 2022 - 2021
- [j1]Günther Specht
, Johannes Kessler, Maximilian Mayerl, Michael Tschuggnall:
RelaX. Datenbank-Spektrum 21(1): 49-54 (2021) - [c13]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. CLEF 2021: 419-431 - [c12]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2021. CLEF (Working Notes) 2021: 1760-1771 - [c11]Janek Bevendorff, Berta Chulvi
, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas
, Ilia Markov
, Maximilian Mayerl, Martin Potthast
, Francisco Manuel Rangel Pardo, 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 - Extended Abstract. ECIR (2) 2021: 567-573 - [c10]Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle:
Novel Datasets for Evaluating Song Popularity Prediction Tasks. ISM 2021: 166-173 - [c9]Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle:
Recognizing Song Mood and Theme: Clustering-based Ensembles. MediaEval 2021 - 2020
- [c8]Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas
, Ilia Markov
, Maximilian Mayerl, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos
, Benno Stein, Matti Wiegmann, Eva Zangerle
:
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. CLEF 2020: 372-383 - [c7]Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2020. CLEF (Working Notes) 2020 - [c6]Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle:
Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups. MediaEval 2020
2010 – 2019
- 2019
- [c5]Maximilian Mayerl, Michael Vötter, Eva Zangerle, Günther Specht:
Language Models for Next-Track Music Recommendation. Grundlagen von Datenbanken 2019: 15-19 - [c4]Michael Vötter, Eva Zangerle, Maximilian Mayerl, Günther Specht:
Autoencoders for Next-Track-Recommendation. Grundlagen von Datenbanken 2019: 20-25 - [c3]Hsiao-Tzu Hung, Yu-Hua Chen, Maximilian Mayerl, Michael Vötter, Eva Zangerle, Yi-Hsuan Yang:
MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach. MediaEval 2019 - [c2]Maximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Bo-Yu Chen, Yi-Hsuan Yang, Eva Zangerle:
Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. MediaEval 2019 - 2017
- [c1]Benjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl, Günther Specht:
Hierarchical Multilabel Classification and Voting for Genre Classification. MediaEval 2017
Coauthor Index
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last updated on 2024-08-14 22:18 CEST by the dblp team
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