

Maximilian Mayerl, Michael Vötter, Günther Specht and Eva Zangerle: Pairwise Learning to Rank for Hit Song Prediction. In BTW 2023. Gesellschaft für Informatik e.V., 2023
@inproceedings{mci/Mayerl2023, author = {Mayerl, Maximilian AND Vötter, Michael AND Specht, Günther AND Zangerle, Eva}, title = {Pairwise Learning to Rank for Hit Song Prediction}, booktitle = {BTW 2023}, year = {2023}, editor = {König-Ries, Birgitta AND Scherzinger, Stefanie AND Lehner, Wolfgang AND Vossen, Gottfried} , doi = { 10.18420/BTW2023-26 }, publisher = {Gesellschaft für Informatik e.V.}, address = {} }
Manfred Moosleitner, Günther Specht and Eva Zangerle: Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness. In BTW 2023. Gesellschaft für Informatik e.V., 2023
@inproceedings{mci/Moosleitner2023, author = {Moosleitner, Manfred and Specht, Günther and Zangerle, Eva}, title = {Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness}, booktitle = {BTW 2023}, year = {2023}, editor = {König-Ries, Birgitta AND Scherzinger, Stefanie AND Lehner, Wolfgang AND Vossen, Gottfried} , doi = { 10.18420/BTW2023-11 }, publisher = {Gesellschaft für Informatik e.V.}, address = {} }
Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl and Eva Zangerle: Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. In Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022, pages 884-890. ISMIR, 2022
@inproceedings{mayerl:ismir:2022, title = {Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition}, author = {Mayerl, Maximilian and Brandl, Stefan and Specht, G{\"u}nther and Schedl, Markus and Zangerle, Eva}, year = 2022, booktitle = {Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022}, publisher = {ISMIR}, series = {ISMIR '22}, pages = {884--890}, doi = {10.5281/zenodo.7316806} }
Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht and Viktor Leis: Height Optimized Tries. In ACM Trans. Database Syst., vol. 47, no. 1. Association for Computing Machinery, 2022
@article{10.1145/3506692, author = {Binna, Robert and Zangerle, Eva and Pichl, Martin and Specht, G\"{u}nther and Leis, Viktor}, title = {Height Optimized Tries}, year = {2022}, issue_date = {March 2022}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {47}, number = {1}, issn = {0362-5915}, url = {https://doi.org/10.1145/3506692}, doi = {10.1145/3506692}, abstract = {We present the Height Optimized Trie (HOT), a fast and space-efficient in-memory index structure. The core algorithmic idea of HOT is to dynamically vary the number of bits considered at each node, which enables a consistently high fanout and thereby good cache efficiency. For a fixed maximum node fanout, the overall tree height is minimal and its structure is deterministically defined. Multiple carefully engineered node implementations using SIMD instructions or lightweight compression schemes provide compactness and fast search and optimize HOT structures for different usage scenarios. Our experiments, which use a wide variety of workloads and data sets, show that HOT outperforms other state-of-the-art index structures for string keys both in terms of search performance and memory footprint, while being competitive for integer keys.}, journal = {ACM Trans. Database Syst.}, month = {apr}, articleno = {3}, numpages = {46}, keywords = {main memory, SIMD, Height optimized trie, index structure} }
Manfred Moosleitner, Günther Specht and Eva Zangerle: Co-rating Attacks on Recommendation Algorithms. In Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21) . 2022
@InProceedings{moosleitner2022corattingattacks, author = {Moosleitner, Manfred and Specht, G\"{u}nther and Zangerle, Eva}, booktitle = {Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21) }, title = {{Co-rating Attacks on Recommendation Algorithms}}, year = {2022}, }
Benjamin Murauer and Günther Specht: DT-grams: Structured Dependency Grammar Stylometry for Cross-Language Authorship Attribution. In Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21) . 2022
@InProceedings{murauer2022dtgrams, author = {Murauer, Benjamin and Specht, G\"{u}nther}, booktitle = {Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21) }, title = {{DT-grams: Structured Dependency Grammar Stylometry for Cross-Language Authorship Attribution}}, year = {2022}, }
Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht and Eva Zangerle: Recognizing Song Mood and Theme: Clustering-based Ensembles. In Working Notes Proceedings of the MediaEval 2021 Workshop. ceur-ws.org, 2021
@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}, }
Michael Vötter, Maximilian Mayerl, Günther Specht and Eva Zangerle: Novel Datasets for Evaluating Song Popularity Prediction Tasks. In IEEE International Symposium on Multimedia, ISM 2021, Virtual Event, November 29 - December 1, 2021, pages 166-173. IEEE, 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}, }
Benjamin Murauer and Günther Specht: Developing a Benchmark for Reducing Data Bias in Authorship Attribution. In Proceedings of the Second Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP'21). 2021
@InProceedings{murauer2021authbench, author = {Murauer, Benjamin and Specht, G\"{u}nther}, booktitle = {Proceedings of the Second Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP'21)}, title = {{Developing a Benchmark for Reducing Data Bias in Authorship Attribution}}, year = {2021}, pages = {179--188} }
Benjamin Murauer and Günther Specht: Small-Scale Cross-Language Authorship Attribution on Social Media Comments. In Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021), pages 11-19. 2021
@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}, }
Günther Specht, Johannes Kessler, Maximilian Mayerl and Michael Tschuggnall: RelaX - Interaktive Relationale Algebra in der Lehre. In Datenbank-Spektrum. (1) 2021
@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} }
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann and Eva Zangerle: Shared Tasks on Authorship Analysis at PAN 2020. In Advances in Information Retrieval (ECIR 2020), pages 508-516. Springer International Publishing, 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} }
Michael Vötter, Maximilian Mayerl, Günther Specht and Eva Zangerle: Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups. In Working Notes Proceedings of the MediaEval 2020 Workshop. ceur-ws.org, 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} }
Manfred Moosleitner, Benjamin Murauer and Günther Specht: Detecting Conspiracy Tweets using Support Vector Machines. In Working Notes Proceedings of the MediaEval 2020 Workshop. ceur-ws.org, 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} }
Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast and Benno Stein: Overview of the style change detection task at PAN 2020. In CLEF 2020 Working Notes, CEUR Workshop Proceedings 2696, Paper 256. 9 S. 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} }
Michael Tschuggnall, Benjamin Murauer and Günther Specht: Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 951-960. Association for Computational Linguistics, 2019
@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", }
Eva Zangerle, Michael Tschuggnall, Günther Specht, Martin Potthast and Benno Stein: Overview of the Style Change Detection Task at PAN 2019. In CLEF 2019 Labs and Workshops, Notebook Papers. CEUR-WS.org, 2019
@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} }
S Coassin, S Schönherr, H Weissensteiner, G Erhart, S Di Maio, L Forer, C Lamina, A Peters, B Thorand, KU Eckardt and others: 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. In Atherosclerosis, vol. 287, pages e58. Elsevier, 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} }
Benjamin Murauer and Günther Specht: Generating Cross-Domain Text Classification Corpora from Social Media Comments. In 20th Conference and Labs of the Evaluation Forum (CLEF'2019), pages 114-125. Springer International Publishing, 2019
@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" }
Maximilian Mayerl, Michael Vötter, Eva Zangerle and Günther Specht: Language Models for Next-Track Music Recommendation. In Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019., pages 15-19. 2019
@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}, }