Michael Tschuggnall, PhD

@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{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",
}

@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{10.1007/978-3-030-15719-7_28,
author="Tschuggnall, Michael
and Gerrier, Thibault
and Specht, G{\"u}nther",
editor="Azzopardi, Leif
and Stein, Benno
and Fuhr, Norbert
and Mayr, Philipp
and Hauff, Claudia
and Hiemstra, Djoerd",
title="StyleExplorer: A Toolkit for Textual Writing Style Visualization",
booktitle="Proceedings of the 41th European Conference on Information Retrieval (ECIR 2019): Advances in Information Retrieval",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="220--224",
isbn="978-3-030-15719-7"
}

@inproceedings{kessler2019relax,
	Address = {Rostock, Germany},
	Author = {Johannes Kessler, Michael Tschuggnall and G{\"u}nther Specht},
	Booktitle = {Proceedings of the 18th Fachtagung des GI-Fachbereichs Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW)},
	Date-Added = {2019-03-26 13:34:11 +0100},
	Date-Modified = {2019-03-26 13:36:35 +0100},
	Month = {March},
	Pages = {503-506},
	Publisher = {GI},
	Series = {LNI},
	Title = {{RelaX: A Webbased Execution and Learning Tool for Relational Algebra}},
	Year = {2019}}

@article{murauer2018dynamic,
  title={Dynamic Parameter Search for Cross-Domain Authorship Attribution},
  author={Murauer, Benjamin and Tschuggnall, Michael and Specht, G{\"u}nther},
  journal={Working Notes of CLEF},
  year={2018}
}

@article{kestemont2018overview,
  title={Overview of the author identification task at PAN-2018: cross-domain authorship attribution and style change detection},
  author={Kestemont, M and Tschuggnall, M and Stamatatos, E and Daelemans, W and Specht, G and Stein, B and Potthast, M},
  journal={Working Notes Papers of the CLEF},
  year={2018}
}

@inproceedings{stamatatos2018overview,
  title={Overview of PAN-2018: Author Identification, Author Profiling, and Author Obfuscation},
  author={Stamatatos, Efstathios and Rangel, Francisco and Tschuggnall, Michael and Kestemont, Mike and Rosso, Paolo and Stein, Benno and Potthast, Martin},
  booktitle={Experimental IR Meets Multilinguality, Multimodality, and Interaction. 9th International Conference of the CLEF Initiative (CLEF 18). Springer, Berlin Heidelberg New York (Sep 2018)},
  year={2018}
}

@inproceedings{DBLP:conf/ecir/zangerle17,
title = {ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists},
author = {Eva Zangerle and Michael Tschuggnall and Stefan Wurzinger and Günther Specht},
doi = {10.1007/978-3-319-76941-7_48},
isbn = {978-3-319-76941-7},
year = {2018},
date = {2018-01-01},
booktitle = {Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2018},
pages = {584--590},
publisher = {Springer},
address = {Cham},
abstract = {In recent years, approaches in music information retrieval have been based on multimodal analyses of music incorporating audio as well as lyrics features. Because most of those approaches are lacking reusable, high-quality datasets, in this work we propose ALF-200k, a publicly available, novel dataset including 176 audio and lyrics features of more than 200,000 tracks and their attribution to more than 11,000 user-created playlists. While the dataset is of general purpose and thus, may be used in experiments for diverse music information retrieval problems, we present a first multimodal study on playlist features and particularly analyze, which type of features are shared within specific playlists and thus, characterize it. We show that while acoustic features act as the major glue between tracks contained in a playlists, also lyrics features are a powerful means to attribute tracks to playlists.}
}

@inproceedings{Murauer2018Translation,
  title={{On the Influence of Machine Translation on Language Origin Obfuscation}},
  author={Murauer, Benjamin and Tschuggnall, Michael and Specht, G\"unther},
  year={2018},
  location={Hanoi, Vietnam},
  booktitle={Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing'2018)},
  month=3,
  note={(to be published)}
}

@online{dha17_lyrics,
title = {Analyzing Coherent Characteristics in Music Playlists},
author = {Eva Zangerle and Michael Tschuggnall and Stefan Wurzinger and G\"{u}nther Specht},
year = {2017},
date = {2017-12-06},
organization = {4th Digital Humanities Austria Conference},
howpublished = {4th Digital Humanities Austria Conference},
url = {https://www.uibk.ac.at/congress/dha2017/bilder-und-dateien/poster_zangerle.pdf}
}

@incollection{tschuggnall2017:iup,
	Author = {Michael Tschuggnall},
	Booktitle = {{Medien und Glaubw\"urdigkeit: Interdisziplin\"are Perpektiven auf neue Herausforderungen im medialen Diskurs}},
	Date-Added = {2017-10-31 09:54:00 +0000},
	Date-Modified = {2017-10-31 10:02:07 +0000},
	Editor = {Sandra Mauler, Heike Ortner and Ulrike Pfeiffenberger},
	Pages = {131--140},
	Publisher = {Innsbruck University Press},
	Title = {{Automatisierte Plagiatserkennung in Textdokumenten: Was der Schreibstil eines Autors {\"u}ber die Echtheit verr\"at}},
	Year = {2017}}

@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},
}

@inproceedings{potthast2017overview,
  title={Overview of PAN’17: Author Identification, Author Profiling, and Author Obfuscation},
  author={Potthast, M and Rangel, F and Tschuggnall, M and Stamatatos, E and Rosso, P and Stein, B},
  booktitle={Experimental IR Meets Multilinguality, Multimodality, and Interaction. 8th International Conference of the CLEF Initiative (CLEF 17). Springer, Berlin Heidelberg New York (Sep 2017)},
  year={2017}
}

@article{tschuggnall2017overview,
  title={Overview of the Author Identification Task at PAN 2017: Style Breach Detection and Author Clustering},
  author={Tschuggnall, Michael and Stamatatos, Efstathios and Verhoeven, Ben and Daelemans, Walter and Specht, G{\"u}nther and Stein, Benno and Potthast, Martin},
  journal={Working Notes Papers of the CLEF},
  year={2017}
}

@INPROCEEDINGS{stein2016j,
        AUTHOR             = {Efstathios Stamatatos and Michael Tschuggnall and Ben Verhoeven and Walter Daelemans and Guenther Specht and Benno Stein and Martin Potthast},
        BOOKTITLE          = {Working Notes Papers of the CLEF 2016 Evaluation Labs},
        ISSN               = {1613-0073},
        MONTH              = sep,
        PUBLISHER          = {CLEF and CEUR-WS.org},
        SERIES             = {CEUR Workshop Proceedings},
        TITLE              = {{Clustering by Authorship Within and Across Documents}},
        URL                = {http://ceur-ws.org/Vol-1609/},
        YEAR               = {2016},
pages = {691--715}
}

@INPROCEEDINGS{stein:2016i,
        ADDRESS            = {Berlin Heidelberg New York},
        AUTHOR             = {Paolo Rosso and Francisco Rangel and Martin Potthast and Efstathios Stamatatos and Michael Tschuggnall and Benno Stein},
        BOOKTITLE          = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. 7th International Conference of the CLEF Initiative (CLEF 16)},
        DOI                = {10.1007/978-3-319-44564-9_28},
        EDITOR             = {Norbert Fuhr and Paulo Quaresma and Birger Larsen and Teresa Gon{\c c}alves and Krisztian Balog and Craig Macdonald and Linda Cappellato and Nicola Ferro},
        ISBN               = {978-3-319-44564-9},
        MONTH              = sep,
        PAGES              = {},
        PUBLISHER          = {Springer},
        TITLE              = {{Overview of PAN'16---New Challenges for Authorship Analysis: Cross-genre Profiling, Clustering, Diarization, and Obfuscation}},
        YEAR               = {2016}
}

@INBOOK {tschuggnall-ats100,
    author        = "Michael Tschuggnall and G{\"u}nther Specht and Christian Riepl",
    title         = "{Algorithmisch unterst{\"u}tzte Literarkritik: Eine grammatikalische Analyse zur Bestimmung von Schreibstilen}",
    publisher     = "EOS-Verlag",
    year          = "2016",
    date-added    = "2017-01-19 10:39:47 +0000",
    date-modified = "2017-01-19 10:45:43 +0000",
    editor        = "H. Rechenmacher",
    book          = "Arbeiten zu Text und Sprache im Alten Testament, In Memoriam Wolfgang Richter",
    chapter       = "100. Band (ATS 100)",
    pages         = "415-428"
}

@inproceedings{tschuggnall2016plagiarism,
  title={From Plagiarism Detection to Bible Analysis: The Potential of Machine Learning for Grammar-Based Text Analysis},
  author={Tschuggnall, Michael and Specht, G{\"u}nther},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  pages={245--248},
  year={2016},
  organization={Springer}
}

@ARTICLE {tschuggnall2015:onthepotential,
    author  = "Michael Tschuggnall and G{\"u}nther Specht",
    title   = "{On the Potential of Grammar Features for Automated Author Profiling}",
    journal = "International Journal On Advances in Intelligent Systems",
    year    = "2015",
    volume  = "8",
    number  = "3\&4",
    pages   = "255-265"
}