Publications

@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{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}
}

@proceedings{zangerle:perspectives:2021,
  editor    = {Eva Zangerle and 
               Christine Bauer and 
              Alan Said},
  title     = {Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021
co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021)},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {2955},
  publisher = {CEUR-WS.org},
  year      = {2021},
  url       = {http://ceur-ws.org/Vol-2955},
  urn       = {urn:nbn:de:0074-2955-1},
}

@inproceedings{murauer-specht-2021-small,
    title = "Small-Scale Cross-Language Authorship Attribution on Social Media Comments",
    author = "Murauer, Benjamin  and Specht, G\"{u}nther",
    booktitle = "Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)",
    month = aug,
    year = "2021",
    url = "https://aclanthology.org/2021.mtsummit-LoResMT.2",
    pages = "11--19",
    year      = {2021},
    pages     = {11--19},
}

@inproceedings{10.1145/3460231.3470929,
author = {Zangerle, Eva and Bauer, Christine and Said, Alan},
title = {Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)},
year = {2021},
isbn = {9781450384582},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3460231.3470929},
doi = {10.1145/3460231.3470929},
booktitle = {Fifteenth ACM Conference on Recommender Systems},
pages = {794–795},
numpages = {2},
keywords = {recommender systems, evaluation, methods},
location = {Amsterdam, Netherlands},
series = {RecSys '21}
}

@article{pichl2020user,
  title={User models for multi-context-aware music recommendation},
  author={Pichl, Martin and Zangerle, Eva},
  journal={Multimedia Tools and Applications},
  pages={22509--22531},
  year={2021},
  publisher={Springer},
  doi={10.1007/s11042-020-09890-7},
  volume=80,
  number={15}
}

@ARTICLE{8382228,
  author={Eva {Zangerle} and Chih-Ming {Chen} and Ming-Feng {Tsai} and Yi-Hsuan {Yang}},
  journal={IEEE Transactions on Affective Computing}, 
  title={Leveraging Affective Hashtags for Ranking Music Recommendations}, 
  year={2021},
  volume={12},
  number={1},
  pages={78-91},
  doi={10.1109/TAFFC.2018.2846596}}

@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{kowald2021support,
  title={Support the underground: characteristics of beyond-mainstream music listeners},
  author={Kowald, Dominik and Muellner, Peter and Zangerle, Eva and Bauer, Christine and Schedl, Markus and Lex, Elisabeth},
  journal={EPJ Data Science},
  volume={10},
  number={1},
  pages={1--26},
  year={2021},
  publisher={Springer}
}

@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}
}

@proceedings{DBLP:conf/ismir/2020,
  author    = {Julie Cumming and
               Jin Ha Lee and
               Brian McFee and
               Markus Schedl and
               Johanna Devaney and
               Cory McKay and
               Eva Zangerle and
               Timothy de Reuse},
  title     = {Proceedings of the 21th International Society for Music Information
               Retrieval Conference, {ISMIR} 2020, Montreal, Canada, October 11-16,
               2020},
  year      = {2020},
  isbn      = {978-0-9813537-1-5},
  timestamp = {Mon, 19 Jul 2021 15:30:03 +0200},
  biburl    = {https://dblp.org/rec/conf/ismir/2020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@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{ecir20_pan,
 abstract = {The paper gives a brief overview of the four shared tasks that are to be organized at the PAN 2020 lab on digital text forensics and stylometry, hosted at CLEF conference. The tasks include author profiling, celebrity profiling, cross-domain author verification, and style change detection, seeking to advance the state of the art and to evaluate it on new benchmark datasets.},
 address = {Cham},
 author = {Bevendorff, Janek
and Ghanem, Bilal
and Giachanou, Anastasia
and Kestemont, Mike
and Manjavacas, Enrique
and Potthast, Martin
and Rangel, Francisco
and Rosso, Paolo
and Specht, Günther
and Stamatatos, Efstathios
and Stein, Benno
and Wiegmann, Matti
and Zangerle, Eva},
 booktitle = {Advances in Information Retrieval, ECIR 2020},
 editor = {Jose, Joemon M.
and Yilmaz, Emine
and Magalhães, João
and Castells, Pablo
and Ferro, Nicola
and Silva, Mário J.
and Martins, Flávio},
 isbn = {978-3-030-45442-5},
 pages = {508--516},
 publisher = {Springer International Publishing},
 title = {Shared Tasks on Authorship Analysis at PAN 2020},
 year = {2020}
}

@article{zangerle2020user,
  title={User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues},
  author={Zangerle, Eva and Pichl, Martin and Schedl, Markus},
  journal={Transactions of the International Society for Music Information Retrieval},
  volume={3},
  number={1},
  year={2020},
  publisher={Ubiquity Press},
  doi={10.5334/tismir.37}
}

@inproceedings{mediaeval2020conspiracy,
 author = {Moosleitner, Manfred and Murauer, Benjamin and Specht, Günther},
 booktitle = {Working Notes Proceedings of the MediaEval 2020 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {Detecting Conspiracy Tweets using Support Vector Machines},
 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{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{10.1145/3383313.3412223,
 address = {New York, NY, USA},
 author = {Melchiorre, Alessandro B. and Zangerle, Eva and Schedl, Markus},
 booktitle = {14th ACM Conference on Recommender Systems (RecSys 2020)},
 doi = {10.1145/3383313.3412223},
 isbn = {9781450375832},
 keywords = {bias, dataset, music recommender systems, neural networks, personality},
 location = {Virtual Event, Brazil},
 numpages = {6},
 pages = {533–538},
 publisher = {ACM},
 series = {RecSys '20},
 title = {Personality Bias of Music Recommendation Algorithms},
 url = {https://doi.org/10.1145/3383313.3412223},
 year = {2020}
}

@inproceedings{hortenhuemer2020multi,
  title={A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter},
  author={H{\"o}rtenhuemer, Clemens and Zangerle, Eva},
  booktitle={Proceedings of the International Conference and Labs of the Evaluation Forum (CLEF), Thessaloniki, Greece},
  pages={22--25},
  year={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}
}

@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{zangerle_ismir20,
 author = {Liu, Meijun and Zangerle, Eva and Hu, Xiao and Melchiorre, Alessandro and Schedl, Markus},
 booktitle = {Proceedings of the 21st International Society for Music Information Retrieval Conference 2020 (ISMIR
2020)},
 month = {10},
 pages = {157-165},
 title = {Pandemics, Music, and Collective Sentiment: Evidence from the Outbreak of COVID-19},
 year = {2020}
}

@inproceedings{neurips_creativity19,
title = {{Creating GANs for generating poems, lyrics and metaphors}},
author = {Asir Saeed and Suzana Ilic and Eva Zangerle},
year = {2019},
booktitle = {{NeurIPS Machine Learning for Creativity and Design Workshop},
url = {https://neurips2019creativity.github.io/}}
}

@inproceedings{zangerle_ismir19,
title = {{Hit Song Prediction: Leveraging Low- and High-Level Audio Features}},
author = {Eva Zangerle and Ramona Huber and Michael V\"{o}tter and  Yi-Hsuan Yang},
year = {2019},
pages = {319--326},
booktitle = {{Proceedings of the 20th International Society for Music Information Retrieval Conference 2019 (ISMIR 2019)}},
url = {http://archives.ismir.net/ismir2019/paper/000037.pdf}
}

@inproceedings{tschuggnall-etal-2019-reduce,
    title = "Reduce {\textbackslash}{\&} Attribute: Two-Step Authorship Attribution for Large-Scale Problems",
    author = {Tschuggnall, Michael  and
      Murauer, Benjamin  and
      Specht, G{\"u}nther},
    booktitle = "Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/K19-1089",
    doi = "10.18653/v1/K19-1089",
    pages = "951--960",
}