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Issue DateTitleAuthor(s)
2017-12-11A 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
2013Applied data science in Europe : challenges for academia in keeping up with a highly demanded topicStadelmann, Thilo; Stockinger, Kurt; Braschler, Martin; Cieliebak, Mark; Baudinot, Gerold; Dürr, Oliver; Ruckstuhl, Andreas
2017Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017Kodiyan, Don; Hardegger, Florin; Neuhaus, Stephan; Cieliebak, Mark
2015Back to the Future : Time-Travelling-Debugger als Alternative zu klassischen DebuggernSchutzbach, Daniel; Uzdilli, Fatih; Cieliebak, Mark
2012Distributed computing by mobile robots : gatheringCieliebak, Mark; Flocchini, Paola; Prencipe, Giuseppe; Santoro, Nicola
2014Flip your classroom : but be aware!Cieliebak, Mark
2017Fully convolutional neural networks for newspaper article segmentationMeier, Benjamin; Stadelmann, Thilo; Stampfli, Jan; Arnold, Marek; Cieliebak, Mark
2017How to throw chocolate at students : a survey of extrinsic means for increased audience attentionCieliebak, Mark; Magid, Amani; Pradarelli, Beatrice
2016Influence of flipped classroom on technical skills and non-technical competences of IT studentsCieliebak, Mark; Keck Frei, Andrea
2014JOINT_FORCES : unite competing sentiment classifiers with random forestDürr, Oliver; Uzdilli, Fatih; Cieliebak, Mark
2017-04Leveraging large amounts of weakly supervised data for multi-language sentiment classificationDeriu, Jan Milan; Lucchi, Aurelien; De Luca, Valeria; Severyn, Aliaksei; Müller, Simone; Cieliebak, Mark; Hofmann, Thomas; Jaggi, Martin
2014Meta-classifiers easily improve commercial sentiment detection toolsCieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih
2015PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih
2013Potential and limitations of commercial sentiment detection toolsCieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih
2017-04Potential and limitations of cross-domain sentiment classificationvon Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan; Cieliebak, Mark
2016Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweetsDeriu, Jan Milan; Cieliebak, Mark
2017Swiss chocolate at CAp 2017 NER challenge : partially annotated data and transfer learningFalkner, Nicole; Dolce, Stefano; von Däniken, Pius; Cieliebak, Mark
2015Swiss-Chocolate : combining flipout regularization and random forests with artificially built subsystems to boost text-classification for sentimentUzdilli, Fatih; Jaggi, Martin; Egger, Dominic; Julmy, Pascal; Derczynski, Leon; Cieliebak, Mark
2014Swiss-chocolate : sentiment detection using sparse SVMs and part-of-speech n-gramsJaggi, Martin; Uzdilli, Fatih; Cieliebak, Mark