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DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series


Sep 21, 2021
Błażej Leporowski, Casper Hansen, Alexandros Iosifidis


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Representation Learning for Efficient and Effective Similarity Search and Recommendation


Sep 04, 2021
Casper Hansen

* PhD Thesis, School of The Faculty of Science, University of Copenhagen 

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Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving


Jul 05, 2021
Błażej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis


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Automatic Fake News Detection: Are Models Learning to Reason?


May 17, 2021
Casper Hansen, Christian Hansen, Lucas Chaves Lima

* Accepted at ACL 2021 

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Unsupervised Multi-Index Semantic Hashing


Mar 26, 2021
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

* Proceedings of the 2021 World Wide Web Conference, published under Creative Commons CC-BY 4.0 License 

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Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering


Mar 26, 2021
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma

* Proceedings of the 2021 World Wide Web Conference, published under Creative Commons CC-BY 4.0 License 

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AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset


Feb 06, 2021
Błażej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis


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Multi-Head Self-Attention with Role-Guided Masks


Dec 22, 2020
Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma

* Accepted at [email protected] 

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Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19


Nov 26, 2020
Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma


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Unsupervised Semantic Hashing with Pairwise Reconstruction


Jul 01, 2020
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

* Accepted at SIGIR'20 

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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims


Oct 21, 2019
Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen

* Proceedings of EMNLP 2019, to appear 

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Contextually Propagated Term Weights for Document Representation


Jun 03, 2019
Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

* SIGIR 2019 

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Unsupervised Neural Generative Semantic Hashing


Jun 03, 2019
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

* SIGIR 2019 

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Neural Speed Reading with Structural-Jump-LSTM


Apr 02, 2019
Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

* 7th International Conference on Learning Representations (ICLR) 2019 
* 10 pages 

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Modelling Sequential Music Track Skips using a Multi-RNN Approach


Mar 20, 2019
Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

* 12th ACM International Conference on Web Search and Data Mining (WSDM) 2019, WSDM Cup 
* 4 pages 

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Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking


Mar 20, 2019
Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

* In Companion Proceedings of the 2019 World Wide Web Conference 
* 6 pages 

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Predicting Distresses using Deep Learning of Text Segments in Annual Reports


Nov 13, 2018
Rastin Matin, Casper Hansen, Christian Hansen, Pia Mølgaard


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