Dr. Eva Zangerle

@ARTICLE{8382228,
  author={E. {Zangerle} and C. -M. {Chen} and M. -F. {Tsai} and Y. -H. {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{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{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{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{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{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{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{bauer2019leveraging,
  title={Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings},
  author={Bauer, Christine and Zangerle, Eva},
  year={2019},
  booktitle = {{Proceedings of the 1st Workshop on the Impact of Recommender Systems
co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019)}},
  publisher = {ceur-ws.org},
}

@inproceedings{DBLP:conf/clef/DaelemansKMPPRS19,
author = {Walter Daelemans and
Mike Kestemont and
Enrique Manjavacas and
Martin Potthast and
Francisco M. Rangel Pardo and
Paolo Rosso and
G{\"{u}}nther Specht and
Efstathios Stamatatos and
Benno Stein and
Michael Tschuggnall and
Matti Wiegmann and
Eva Zangerle},
title = {Overview of {PAN} 2019: Bots and Gender Profiling, Celebrity Profiling,
Cross-Domain Authorship Attribution and Style Change Detection},
booktitle = {{Experimental {IR} Meets Multilinguality, Multimodality, and Interaction
- 10th International Conference of the {CLEF} Association, {CLEF}
2019, Lugano, Switzerland, September 9-12, 2019, Proceedings}},
pages = {402--416},
year = {2019},
doi = {10.1007/978-3-030-28577-7_30},
series = {Lecture Notes in Computer Science},
volume = {11696},
publisher = {Springer},
}

@InProceedings{zangerle:2019,
  author =              {Eva Zangerle and Michael Tschuggnall and G{\"{u}}nther Specht and Martin Potthast and Benno Stein},
  booktitle =           {{CLEF 2019 Labs and Workshops, Notebook Papers}},
  crossref =            {pan:2019},
  editor =              {Linda Cappellato and Nicola Ferro and {David {E.}} Losada and Henning M{\"{u}}ller},
  month =               sep,
  publisher =           {CEUR-WS.org},
  title =               {{Overview of the Style Change Detection Task at PAN 2019}},
  url =                 {http://ceur-ws.org/Vol-2380/},
  year =                {2019}
}

@inproceedings{DBLP:conf/wikis/SchmidtZ19,
author = {Manuel Schmidt and
Eva Zangerle},
title = {{Article Quality Classification on Wikipedia: Introducing Document
Embeddings and Content Features}},
booktitle = {{Proceedings of the 15th International Symposium on Open Collaboration,
OpenSym 2019, Sk{\"{o}}vde, Sweden, August 20-22, 2019}},
pages = {13:1--13:8},
year = {2019},
crossref = {DBLP:conf/wikis/2019},
url = {https://doi.org/10.1145/3306446.3340831},
doi = {10.1145/3306446.3340831},
publisher = {{ACM}},
year = {2019},
url = {https://dl.acm.org/citation.cfm?id=3306446},
isbn = {978-1-4503-6319-8},
}

@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{hiebelidentifikation,
title={{Zur Identifikation und Verortung von Bergnamen in alpiner Literatur}},
author={Hiebel, Gerald and Hanke, Klaus and Posch, Claudia and Rampl, Gerhard and Gruber, Elisabeth and Mussmann, Andrea and Zangerle, Eva},
booktitle = {{20. Internationale Geodätische Woche Obergurgl 2019}},
publisher = {{VDE Verlag}},
isbn = {978-3-87907-659-8},
pages = {91--100},
year = {2019},
url = {https://www.uibk.ac.at/geometrie-vermessung/gruppe_vermessung_und_geoinformation/geodaetische_wochen/obergurgl_2019/programm_072018.html}
}

@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}
}