1. ZHAW digitalcollection

Browsing by Keywords for Webfeeds Natural Language Processing

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  

Showing results 1 to 20 of 105  next >
Issue DateTitleInvolved Person(s)
2018A framework for text analytics with visual exploration and machine learningSiddiqui, Nadina; Metzler, Linus; Tuggener, Don; Cieliebak, Mark
Jul-2020A methodology for creating question answering corpora using inverse data annotationDeriu, Jan Milan; Mlynchyk, Katsiaryna; Schläpfer, Philippe; Rodrigo, Alvaro; von Grünigen, Dirk, et al
2017A Twitter corpus and benchmark resources for german sentiment analysisCieliebak, Mark; Deriu, Jan Milan; Egger, Dominic; Uzdilli, Fatih
2016Adverse drug reaction detection using an adapted sentiment classifierUzdilli, Fatih; Cieliebak, Mark; Egger, Dominic
2014Auswirkungen von Flipped Classroom auf Fachwissen und Kompetenzen von StudierendenCieliebak, Mark
2017Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017Kodiyan, Don; Hardegger, Florin; Neuhaus, Stephan; Cieliebak, Mark
14-Jun-2019Automated machine learning in practice : state of the art and recent resultsTuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia, et al
2015Back to the Future : Time-Travelling-Debugger als Alternative zu klassischen DebuggernSchutzbach, Daniel; Uzdilli, Fatih; Cieliebak, Mark
2018Best practices in e-assessments with a special focus on cheating preventionvon Grünigen, Dirk; Benites de Azevedo e Souza, Fernando; Pradarelli, Beatrice; Magid, Amani; Cieliebak, Mark
2020CEASR : a corpus for evaluating automatic speech recognitionUlasik, Malgorzata Anna; Hürlimann, Manuela; Germann, Fabian; Gedik, Esin; Benites de Azevedo e Souza, Fernando, et al
2023Correction of errors in preference ratings from automated metrics for text generationDeriu, Jan; von Däniken, Pius; Tuggener, Don; Cieliebak, Mark
13-Jun-2019Correlating twitter language with community-level health outcomesSchneuwly, Arno; Grubenmann, Ralf; Logean, Séverine Rion; Cieliebak, Mark; Jaggi, Martin
2019Data productsMeierhofer, Jürg; Stadelmann, Thilo; Cieliebak, Mark
2016Deep learning for infinite applications in text analyticsCieliebak, Mark
2018Deep learning in the wildStadelmann, Thilo; Amirian, Mohammadreza; Arabaci, Ismail; Arnold, Marek; Duivesteijn, Gilbert François, et al
2018Deep watershed detector for music object recognitionTuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Stadelmann, Thilo
2018DeepScores : a dataset for segmentation, detection and classification of tiny objectsTuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Pelillo, Marcello; Stadelmann, Thilo
20-Sep-2018DeepScores and Deep Watershed Detection : current state and open issuesElezi, Ismail; Tuggener, Lukas; Pelillo, Marcello; Stadelmann, Thilo
2-Sep-2020DeepScoresV2Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo
6-Nov-2020Design patterns for resource-constrained automated deep-learning methodsTuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar, et al
Showing results 1 to 20 of 105  next >