

Maximilian Mayerl, Michael Vötter, Günther Specht and Eva Zangerle: Pairwise Learning to Rank for Hit Song Prediction. In BTW 2023. Gesellschaft für Informatik e.V., 2023
@inproceedings{mci/Mayerl2023, author = {Mayerl, Maximilian AND Vötter, Michael AND Specht, Günther AND Zangerle, Eva}, title = {Pairwise Learning to Rank for Hit Song Prediction}, booktitle = {BTW 2023}, year = {2023}, editor = {König-Ries, Birgitta AND Scherzinger, Stefanie AND Lehner, Wolfgang AND Vossen, Gottfried} , doi = { 10.18420/BTW2023-26 }, publisher = {Gesellschaft für Informatik e.V.}, address = {} }
Janek Bevendorff, Mara Chinea-Rios, Marc Franco-Salvador, Annina Heini, Erik Körner, Krzysztof Kredens, Maximilian Mayerl, Piotr Pkezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska and Eva Zangerle: Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection. In Advances in Information Retrieval, pages 518-526. Springer Nature Switzerland, 2023
@InProceedings{10.1007/978-3-031-28241-6_60, author="Bevendorff, Janek and Chinea-Rios, Mara and Franco-Salvador, Marc and Heini, Annina and K{\"o}rner, Erik and Kredens, Krzysztof and Mayerl, Maximilian and Pkezik, Piotr and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva", title="Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection", booktitle="Advances in Information Retrieval", year="2023", publisher="Springer Nature Switzerland", address="Cham", pages="518--526", isbn="978-3-031-28241-6" }
Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl and Eva Zangerle: Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. In Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022, pages 884-890. ISMIR, 2022
@inproceedings{mayerl:ismir:2022, title = {Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition}, author = {Mayerl, Maximilian and Brandl, Stefan and Specht, G{\"u}nther and Schedl, Markus and Zangerle, Eva}, year = 2022, booktitle = {Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022}, publisher = {ISMIR}, series = {ISMIR '22}, pages = {884--890}, doi = {10.5281/zenodo.7316806} }
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 and Eva Zangerle: Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection.
@inproceedings{DBLP:conf/clef/BevendorffCFHKK22, author = {Janek Bevendorff and Berta Chulvi and Elisabetta Fersini and Annina Heini and Mike Kestemont and Krzysztof Kredens and Maximilian Mayerl and Reynier Ortega{-}Bueno and Piotr Pezik and Martin Potthast and Francisco Rangel and Paolo Rosso and Efstathios Stamatatos and Benno Stein and Matti Wiegmann and Magdalena Wolska and Eva Zangerle}, title = {Overview of {PAN} 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection}, booktitle = {Experimental {IR} Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the {CLEF} Association, {CLEF} 2022, Bologna, Italy, September 5-8, 2022, Proceedings}, series = {Lecture Notes in Computer Science}, volume = {13390}, pages = {382--394}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-031-13643-6\_24}, doi = {10.1007/978-3-031-13643-6\_24}, }
Eva Zangerle, Maximilian Mayerl, Martin Potthast and Benno Stein: Overview of the Style Change Detection Task at PAN 2022. In Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, vol. 3180, pages 2344-2356. CEUR-WS.org, 2022
@inproceedings{DBLP:conf/clef/ZangerleMP022, author = {Eva Zangerle and Maximilian Mayerl and Martin Potthast and Benno Stein}, editor = {Guglielmo Faggioli and Nicola Ferro and Allan Hanbury and Martin Potthast}, title = {Overview of the Style Change Detection Task at {PAN} 2022}, booktitle = {Working Notes of {CLEF} 2022 - Conference and Labs of the Evaluation Forum}, series = {{CEUR} Workshop Proceedings}, volume = {3180}, pages = {2344--2356}, publisher = {CEUR-WS.org}, year = {2022}, url = {http://ceur-ws.org/Vol-3180/paper-186.pdf}, timestamp = {Wed, 10 Aug 2022 16:26:45 +0200}, biburl = {https://dblp.org/rec/conf/clef/ZangerleMP022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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 and Eva Zangerle: Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection. In Advances in Information Retrieval. ECIR 2022., pages 331-338. Springer International Publishing, 2022
@InProceedings{10.1007/978-3-030-99739-7_42, author="Bevendorff, Janek and Chulvi, Berta and Fersini, Elisabetta and Heini, Annina and Kestemont, Mike and Kredens, Krzysztof and Mayerl, Maximilian and Ortega-Bueno, Reyner and Pezik, Piotr and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva", editor="Hagen, Matthias and Verberne, Suzan and Macdonald, Craig and Seifert, Christin and Balog, Krisztian and N{\o}rv{\aa}g, Kjetil and Setty, Vinay", title="Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection", booktitle="Advances in Information Retrieval. ECIR 2022", year="2022", publisher="Springer International Publishing", address="Cham", pages="331--338", abstract="The paper gives a brief overview of the four shared tasks to be organized at the PAN 2022 lab on digital text forensics and stylometry hosted at the CLEF 2022 conference. The tasks include authorship verification across discourse types, multi-author writing style analysis, author profiling, and content profiling. Some of the tasks continue and advance past editions (authorship verification and multi-author analysis) and some are new (profiling irony and stereotypes spreaders and trigger detection). The general goal of the PAN shared tasks is to advance the state of the art in text forensics and stylometry while ensuring objective evaluation on newly developed benchmark datasets.", isbn="978-3-030-99739-7", doi="10.1007/978-3-030-99739-7_42", url="https://link.springer.com/chapter/10.1007/978-3-030-99739-7_42" }
Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht and Eva Zangerle: Recognizing Song Mood and Theme: Clustering-based Ensembles. In Working Notes Proceedings of the MediaEval 2021 Workshop. ceur-ws.org, 2021
@inproceedings{mayerlRecognizingSongMood2021, title = {Recognizing Song Mood and Theme: Clustering-based Ensembles}, booktitle = {Working Notes Proceedings of the MediaEval 2021 Workshop}, publisher = {ceur-ws.org}, author = {Mayerl, Maximilian and Vötter, Michael and Peintner, Andreas and Specht, Günther and Zangerle, Eva}, month = {12}, year = {2021}, }
Michael Vötter, Maximilian Mayerl, Günther Specht and Eva Zangerle: Novel Datasets for Evaluating Song Popularity Prediction Tasks. In IEEE International Symposium on Multimedia, ISM 2021, Virtual Event, November 29 - December 1, 2021, pages 166-173. IEEE, 2021
@inproceedings{voetter:ism:2021, author = { Michael V\"{o}tter and Maximilian Mayerl and G\"{u}nther Specht and Eva Zangerle}, title = {Novel Datasets for Evaluating Song Popularity Prediction Tasks}, booktitle = {{IEEE} International Symposium on Multimedia, {ISM} 2021, Virtual Event, November 29 -- December 1, 2021}, pages = {166--173}, publisher = {{IEEE}}, year = {2021}, doi = {10.1109/ISM52913.2021.00034}, }
Eva Zangerle, Maximilian Mayerl, Martin Potthast and Benno Stein: Overview of the Style Change Detection Task at PAN 2021. In CLEF 2021 Labs and Workshops, Notebook Papers, pages 1760-1771. CEUR-WS.org, 2021
@InProceedings{zangerle:2020, author = {Eva Zangerle and Maximilian Mayerl and Martin Potthast and Benno Stein}, booktitle = {{CLEF 2021 Labs and Workshops, Notebook Papers}}, editor = {Guglielmo Faggioli and Nicola Ferro and Alexis Joly and Maria Maistro and Florina Piroi}, publisher = {CEUR-WS.org}, title = {{Overview of the Style Change Detection Task at PAN 2021}}, url = {http://ceur-ws.org/Vol-2936/}, year = 2021, pages = {1760--1771} }
Janek Bevendorff, Berta Chulvi, Gretel Liz De la Pena Sarracen, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska and Eva Zangerle: Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21-24, 2021, Proceedings, vol.
@inproceedings{DBLP:conf/clef/BevendorffCSKMM21, author = {Janek Bevendorff and Berta Chulvi and Gretel Liz De la Pe{\~{n}}a Sarrac{\'{e}}n and Mike Kestemont and Enrique Manjavacas and Ilia Markov and Maximilian Mayerl and Martin Potthast and Francisco Rangel and Paolo Rosso and Efstathios Stamatatos and Benno Stein and Matti Wiegmann and Magdalena Wolska and Eva Zangerle}, editor = {K. Sel{\c{c}}uk Candan and Bogdan Ionescu and Lorraine Goeuriot and Birger Larsen and Henning M{\"{u}}ller and Alexis Joly and Maria Maistro and Florina Piroi and Guglielmo Faggioli and Nicola Ferro}, title = {Overview of {PAN} 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection}, booktitle = {Experimental {IR} Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the {CLEF} Association, {CLEF} 2021, Virtual Event, September 21-24, 2021, Proceedings}, series = {Lecture Notes in Computer Science}, volume = {12880}, pages = {419--431}, publisher = {Springer}, year = {2021}, url = {https://doi.org/10.1007/978-3-030-85251-1\_26}, doi = {10.1007/978-3-030-85251-1\_26}, }
Janek Bevendorff, BERTa Chulvi, Gretel Liz De La Pe\~na Sarrac\'en, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska and Eva Zangerle: Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. In Advances in Information Retrieval. ECIR 2021, pages 567-573. Springer International Publishing, 2021
@InProceedings{10.1007/978-3-030-72240-1_66, author="Bevendorff, Janek and Chulvi, BERTa and Sarrac{\'e}n, Gretel Liz De La Pe{\~{n}}a and Kestemont, Mike and Manjavacas, Enrique and Markov, Ilia and Mayerl, Maximilian and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva", editor="Hiemstra, Djoerd and Moens, Marie-Francine and Mothe, Josiane and Perego, Raffaele and Potthast, Martin and Sebastiani, Fabrizio", title="Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection", booktitle="Advances in Information Retrieval. ECIR 2021", year="2021", publisher="Springer International Publishing", address="Cham", pages="567--573", abstract="The paper gives a brief overview of the three shared tasks to be organized at the PAN 2021 lab on digital text forensics and stylometry hosted at the CLEF conference. The tasks include authorship verification across domains, author profiling for hate speech spreaders, and style change detection for multi-author documents. In part the tasks are new and in part they continue and advance past shared tasks, with the overall goal of advancing the state of the art, providing for an objective evaluation on newly developed benchmark datasets.", isbn="978-3-030-72240-1" }
Günther Specht, Johannes Kessler, Maximilian Mayerl and Michael Tschuggnall: RelaX - Interaktive Relationale Algebra in der Lehre. In Datenbank-Spektrum. (1) 2021
@Article{Specht2021ReLaX, author={Specht, G{\"u}nther and Kessler, Johannes and Mayerl, Maximilian and Tschuggnall, Michael}, title={RelaX - Interaktive Relationale Algebra in der Lehre}, journal={Datenbank-Spektrum}, year={2021}, month={Jan}, day={24}, abstract={Das relationale Modell und insbesondere die relationale Algebra bilden die Grundlage jedes relationalen Datenbanksystems. Daher ist es in der Lehre wichtig, den Studierenden eine fundierte Einf{\"u}hrung in die relationale Algebra zu geben. Nur so erhalten sie ein vertieftes Verst{\"a}ndnis f{\"u}r die interne Ausf{\"u}hrung einer Anfrage. W{\"a}hrend es viele M{\"o}glichkeiten gibt, SQL zu {\"u}ben, fehlen bisher gr{\"o}{\ss}tenteils solche M{\"o}glichkeiten f{\"u}r die relationale Algebra. Sie wird meist nur theoretisch unterrichtet. Darum hat die Forschungsgruppe DBIS an der Universit{\"a}t Innsbruck ein rein webbasiertes Tool entwickelt, das die Lehre der relationalen Algebra erleichtern und verbessern soll: RelaX. RelaX ist unter http://dbis-uibk.github.io/relax/frei verf{\"u}gbar.}, issn={1610-1995}, doi={10.1007/s13222-021-00367-x}, url={https://doi.org/10.1007/s13222-021-00367-x} }
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno~Stein, Matti Wiegmann and Eva Zangerle: Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. In 11th International Conference of the CLEF Association (CLEF 2020). Springer, 2020
@inproceedings{bevendorff:clef:2020, author = {Janek Bevendorff and Bilal Ghanem and Anastasia Giachanou and Mike Kestemont and Enrique Manjavacas and Ilia Markov and Maximilian Mayerl and Martin Potthast and Francisco Rangel and Paolo Rosso and Günther Specht and Efstathios Stamatatos and Benno~Stein and Matti Wiegmann and Eva Zangerle}, booktitle = {11th International Conference of the CLEF Association (CLEF 2020)}, editor = {Avi Arampatzis and Evangelos Kanoulas and Theodora Tsikrika and Stefanos Vrochidis and Hideo Joho and Christina Lioma and Carsten Eickhoff and Aurélie Névéol and Linda Cappellato and Nicola Ferro}, month = {September}, publisher = {Springer}, title = {Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection}, url = {http://ceur-ws.org/Vol-2696/}, venue = {Thessaloniki, Greece}, year = {2020} }
Michael Vötter, Maximilian Mayerl, Günther Specht and Eva Zangerle: Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups. In Working Notes Proceedings of the MediaEval 2020 Workshop. ceur-ws.org, 2020
@inproceedings{mediaeval2020, author = {Michael Vötter and Maximilian Mayerl and Günther Specht and Eva Zangerle}, booktitle = {Working Notes Proceedings of the MediaEval 2020 Workshop}, month = {12}, publisher = {ceur-ws.org}, title = {Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups}, year = {2020} }
Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast and Benno Stein: Overview of the style change detection task at PAN 2020. In CLEF 2020 Working Notes, CEUR Workshop Proceedings 2696, Paper 256. 9 S. 2020
@inproceedings{zangerle2020overview, title={Overview of the style change detection task at PAN 2020}, author={Zangerle, Eva and Mayerl, Maximilian and Specht, G{\"u}nther and Potthast, Martin and Stein, Benno}, year={2020}, organization={CLEF} }
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso and others: Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. In International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2020), pages 372-383. 2020.
@inproceedings{bevendorff2020overview, title={Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection}, author={Bevendorff, Janek and Ghanem, Bilal and Giachanou, Anastasia and Kestemont, Mike and Manjavacas, Enrique and Markov, Ilia and Mayerl, Maximilian and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and others}, booktitle={International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2020)}, pages={372--383}, year={2020}, organization={Springer} }
Maximilian Mayerl, Michael Vötter, Manfred Moosleitner and Eva Zangerle: Comparing Lyrics Features for Genre Recognition. In Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), pages 73-77. 2020.
@inproceedings{mayerl2020comparing, title={Comparing Lyrics Features for Genre Recognition}, author={Mayerl, Maximilian and V{\"o}tter, Michael and Moosleitner, Manfred and Zangerle, Eva}, booktitle={Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA)}, pages={73--77}, year={2020} }
Maximilian Mayerl, Michael Vötter, Eva Zangerle and Günther Specht: Language Models for Next-Track Music Recommendation. In Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019., pages 15-19. 2019
@inproceedings{gvdb1019_1, author = {Maximilian Mayerl and Michael V{\"{o}}tter and Eva Zangerle and G{\"{u}}nther Specht}, title = {Language Models for Next-Track Music Recommendation}, booktitle = {Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019.}, pages = {15--19}, year = {2019}, url = {http://ceur-ws.org/Vol-2367/paper\_1.pdf}, }
Michael Vötter, Eva Zangerle, Maximilian Mayerl and Günther Specht: Autoencoders for Next-Track-Recommendation. In Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019., pages 20-25. 2019
@inproceedings{gvdb2019_2, author = {Michael V{\"{o}}tter and Eva Zangerle and Maximilian Mayerl and G{\"{u}}nther Specht}, title = {Autoencoders for Next-Track-Recommendation}, booktitle = {Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019.}, pages = {20--25}, year = {2019}, url = {http://ceur-ws.org/Vol-2367/paper\_2.pdf}, }
Maximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Boyu Chen, Yi-Hsuan Yang and Eva Zangerle: Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. In Working Notes Proceedings of the MediaEval 2019 Workshop. ceur-ws.org, 2019.
@inproceedings{mediaeval19_inn, author = {Maximilian Mayerl and Michael Vötter and Hsiao-Tzu Hung and Boyu Chen and Yi-Hsuan Yang and Eva Zangerle}, booktitle = {Working Notes Proceedings of the MediaEval 2019 Workshop}, month = {12}, publisher = {ceur-ws.org}, title = {Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks}, year = {2019} }