Maximilian Mayerl, MSc.

@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},
}

@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}
}

@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"
}

@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},
}

@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},
}

@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}
}

@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},
}

@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"
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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},
}

@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},
}

@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}
}

@inproceedings{mediaeval19_tai,
 author = {Hsiao-Tzu Hung and Yu-Hua Chen and Maximilian Mayerl and Michael Vötter and Eva Zangerle and Yi-Hsuan Yang},
 booktitle = {Working Notes Proceedings of the MediaEval 2019 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach},
 year = {2019}
}

@article{Murauer2017Genre,
  title={Hierarchical Multilabel Classification and Voting for Genre Classification},
  author={Murauer, Benjamin and Mayerl, Maximilian and Tschuggnall, Michael and Zangerle, Eva and Pichl, Martin and Specht, G{\"u}nther},
  booktitle={CEURS Working Notes Proceedings of the MediaEval 2017 Workshop},
  publisher={CEUR-WS.org},
  city={Dublin, Ireland},
  year={2017},
  url={http://ceur-ws.org/Vol-1984/Mediaeval_2017_paper_41.pdf},
}