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RankQA: Neural Question Answering with Answer Re-Ranking


Jun 07, 2019
Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel

* Accepted at ACL 2019; GitHub: https://github.com/bernhard2202/rankqa 

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Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching


May 24, 2019
Mathias Kraus, Stefan Feuerriegel

* Accepted for oral presentation at 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) 

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Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems


Jan 29, 2019
Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel


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Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees


Oct 04, 2018
Mathias Kraus, Stefan Feuerriegel


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Reinforcement Learning in R


Sep 29, 2018
Nicolas Pröllochs, Stefan Feuerriegel


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Deep learning for affective computing: text-based emotion recognition in decision support


Sep 10, 2018
Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger

* Accepted by Decision Support Systems (DSS) 

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Adaptive Document Retrieval for Deep Question Answering


Aug 20, 2018
Bernhard Kratzwald, Stefan Feuerriegel

* EMNLP 2018 

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News-based trading strategies


Jul 18, 2018
Stefan Feuerriegel, Helmut Prendinger

* Feuerriegel, Stefan, and Helmut Prendinger. "News-based trading strategies." Decision Support Systems 90 (2016): 65-74 

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Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures


Jul 04, 2018
Stefan Feuerriegel, Ralph Fehrer

* Twenty-Fourth European Conference on Information Systems (ECIS 2016), Istanbul, Turkey, 2016 

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Deep learning in business analytics and operations research: Models, applications and managerial implications


Jun 28, 2018
Mathias Kraus, Stefan Feuerriegel, Asil Oztekin


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