Prof. Dr. Günther Specht

@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{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}
}

@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{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{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{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}
}

@article{coassin2019comprehensive,
  title={A Comprehensive Map Of The Variability In The Lipoprotein (A) Kiv 2 Repeat Region And Follow-Up Of The Kiv-2 Arg20ter Mutation In 11,000 Individuals},
  author={Coassin, S and Sch{\"o}nherr, S and Weissensteiner, H and Erhart, G and Di Maio, S and Forer, L and Lamina, C and Peters, A and Thorand, B and Eckardt, KU and others},
  journal={Atherosclerosis},
  volume={287},
  pages={e58},
  year={2019},
  publisher={Elsevier},
  doi = {10.1016/j.atherosclerosis.2019.06.164}
}

@InProceedings{10.1007/978-3-030-28577-7_7,
author="Murauer, Benjamin
and Specht, G{\"u}nther",
editor="Crestani, Fabio
and Braschler, Martin
and Savoy, Jacques
and Rauber, Andreas
and M{\"u}ller, Henning
and Losada, David E.
and Heinatz B{\"u}rki, Gundula
and Cappellato, Linda
and Ferro, Nicola",
title="Generating Cross-Domain Text Classification Corpora from Social Media Comments",
booktitle="20th Conference and Labs of the Evaluation Forum (CLEF'2019)",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="114--125",
isbn="978-3-030-28577-7"
}

@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{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"
}

@article{doi:10.1002/bate.201800092,
author = {Fröch, Georg and Gächter, Werner and Tautschnig, Arnold and Specht, Günther},
title = {Merkmalserver im Open-BIM-Prozess},
journal = {Bautechnik},
doi = {10.1002/bate.201800092},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bate.201800092},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/bate.201800092},
year= {2019}
}

@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{Coassin01012019,
author = {Coassin, Stefan and Schönherr, Sebastian and Weissensteiner, Hansi and Erhart, Gertraud and Forer, Lukas and Losso, Jamie Lee and Lamina, Claudia and Haun, Margot and Utermann, Gerd and Paulweber, Bernhard and Specht, Günther and Kronenberg, Florian}, 
title = {A comprehensive map of single-base polymorphisms in the hypervariable LPA kringle IV type 2 copy number variation region},
volume = {60}, 
number = {1}, 
pages = {186-199}, 
year = {2019}, 
doi = {10.1194/jlr.M090381}, 
URL = {http://www.jlr.org/content/60/1/186.abstract}, 
eprint = {http://www.jlr.org/content/60/1/186.full.pdf+html}, 
journal = {Journal of Lipid Research} 
}

@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{Binna:2018:HHO:3183713.3196896,
 author = {Binna, Robert and Zangerle, Eva and Pichl, Martin and Specht, G\"{u}nther and Leis, Viktor},
 title = {HOT: A Height Optimized Trie Index for Main-Memory Database Systems},
 booktitle = {Proceedings of the 2018 International Conference on Management of Data},
 series = {SIGMOD '18},
 year = {2018},
 isbn = {978-1-4503-4703-7},
 location = {Houston, TX, USA},
 pages = {521--534},
 numpages = {14},
 url = {http://doi.acm.org/10.1145/3183713.3196896},
 doi = {10.1145/3183713.3196896},
 acmid = {3196896},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {height optimized trie, index, main memory, simd},
} 

@inproceedings{Murauer:2018:DMG:3184558.3191822,
 author = {Murauer, Benjamin and Specht, G\"{u}nther},
 title = {Detecting Music Genre Using Extreme Gradient Boosting},
 booktitle = {Companion of the The Web Conference 2018 on The Web Conference 2018},
 series = {WWW '18},
 year = {2018},
 isbn = {978-1-4503-5640-4},
 location = {Lyon, France},
 pages = {1923--1927},
 numpages = {5},
 url = {https://doi.org/10.1145/3184558.3191822},
 doi = {10.1145/3184558.3191822},
 acmid = {3191822},
 publisher = {International World Wide Web Conferences Steering Committee},
 address = {Republic and Canton of Geneva, Switzerland},
 keywords = {gradient boosting, music classification, neural network},
} 

@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.}
}