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Casper Hansen
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2020 – today
- 2022
- [c23]Daniella Tola
, Emil Madsen
, Cláudio Gomes
, Lukas Esterle
, Christian Schlette, Casper Hansen, Peter Gorm Larsen
:
Towards Easy Robot System Integration: Challenges and Future Directions. SII 2022: 77-82 - 2021
- [c22]Casper Hansen, Christian Hansen, Lucas Chaves Lima:
Automatic Fake News Detection: Are Models Learning to Reason? ACL/IJCNLP (2) 2021: 80-86 - [c21]Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro
, Jakob Grue Simonsen, Christina Lioma
:
Multi-head Self-attention with Role-Guided Masks. ECIR (2) 2021: 432-439 - [c20]Daniella Tola, Cláudio Gomes, Carl Schultz, Christian Schlette, Casper Hansen, Lukas Esterle:
RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. RuleML+RR (Supplement) 2021 - [c19]Oskar Skak Kristiansen, Ulrik Sandberg, Casper Hansen, Morten Skovgaard Jensen, Jonas Friederich
, Sanja Lazarova-Molnar
:
Experimental Comparison of Open Source Discrete-Event Simulation Frameworks. SimuTools 2021: 315-330 - [c18]Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas:
Shifting Consumption towards Diverse Content on Music Streaming Platforms. WSDM 2021: 238-246 - [c17]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma
:
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. WWW 2021: 261-269 - [c16]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
:
Unsupervised Multi-Index Semantic Hashing. WWW 2021: 2879-2889 - [d2]Blazej Leporowski
, Daniella Tola, Casper Hansen, Alexandros Iosifidis
:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. Version 1.0. Zenodo, 2021 [all versions] - [d1]Blazej Leporowski
, Daniella Tola, Casper Hansen, Alexandros Iosifidis
:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. Version 1.1. Zenodo, 2021 [all versions] - [i22]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. CoRR abs/2102.01409 (2021) - [i21]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma:
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. CoRR abs/2103.14455 (2021) - [i20]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Multi-Index Semantic Hashing. CoRR abs/2103.14460 (2021) - [i19]Casper Hansen, Christian Hansen, Lucas Chaves Lima:
Automatic Fake News Detection: Are Models Learning to Reason? CoRR abs/2105.07698 (2021) - [i18]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. CoRR abs/2107.01955 (2021) - [i17]Casper Hansen:
Representation Learning for Efficient and Effective Similarity Search and Recommendation. CoRR abs/2109.01815 (2021) - [i16]Blazej Leporowski, Casper Hansen, Alexandros Iosifidis:
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series. CoRR abs/2109.10082 (2021) - 2020
- [c15]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma
:
Fact Check-Worthiness Detection with Contrastive Ranking. CLEF 2020: 124-130 - [c14]Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas:
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. RecSys 2020: 53-62 - [c13]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
:
Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020: 971-980 - [c12]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
:
Unsupervised Semantic Hashing with Pairwise Reconstruction. SIGIR 2020: 2009-2012 - [c11]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen
, Stephen Alstrup, Christina Lioma
:
Factuality Checking in News Headlines with Eye Tracking. SIGIR 2020: 2013-2016 - [i15]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Content-aware Neural Hashing for Cold-start Recommendation. CoRR abs/2006.00617 (2020) - [i14]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma:
Factuality Checking in News Headlines with Eye Tracking. CoRR abs/2006.09736 (2020) - [i13]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Semantic Hashing with Pairwise Reconstruction. CoRR abs/2007.00380 (2020) - [i12]Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma:
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. CoRR abs/2011.12684 (2020) - [i11]Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma:
Multi-Head Self-Attention with Role-Guided Masks. CoRR abs/2012.12366 (2020)
2010 – 2019
- 2019
- [j1]Rastin Matin, Casper Hansen
, Christian Hansen, Pia Mølgaard:
Predicting distresses using deep learning of text segments in annual reports. Expert Syst. Appl. 132: 199-208 (2019) - [c10]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma:
Neural Weakly Supervised Fact Check-Worthiness Detection with Contrastive Sampling-Based Ranking Loss. CLEF (Working Notes) 2019 - [c9]Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma:
Modelling End-of-Session Actions in Educational Systems. EDM 2019 - [c8]Isabelle Augenstein
, Christina Lioma
, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen:
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. EMNLP/IJCNLP (1) 2019: 4684-4696 - [c7]Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Speed Reading with Structural-Jump-LSTM. ICLR (Poster) 2019 - [c6]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
:
Unsupervised Neural Generative Semantic Hashing. SIGIR 2019: 735-744 - [c5]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
:
Contextually Propagated Term Weights for Document Representation. SIGIR 2019: 897-900 - [c4]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
:
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. WWW (Companion Volume) 2019: 994-1000 - [i10]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. CoRR abs/1903.08404 (2019) - [i9]Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Modelling Sequential Music Track Skips using a Multi-RNN Approach. CoRR abs/1903.08408 (2019) - [i8]Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Speed Reading with Structural-Jump-LSTM. CoRR abs/1904.00761 (2019) - [i7]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Neural Generative Semantic Hashing. CoRR abs/1906.00671 (2019) - [i6]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Contextually Propagated Term Weights for Document Representation. CoRR abs/1906.00674 (2019) - [i5]Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen:
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. CoRR abs/1909.03242 (2019) - [i4]Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma:
Modelling End-of-Session Actions in Educational Systems. CoRR abs/1909.06856 (2019) - 2018
- [c3]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma:
The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab. CLEF (Working Notes) 2018 - [i3]Rastin Matin, Casper Hansen, Christian Hansen, Pia Mølgaard:
Predicting Distresses using Deep Learning of Text Segments in Annual Reports. CoRR abs/1811.05270 (2018) - 2017
- [c2]Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma
:
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. CIKM 2017: 2095-2098 - [c1]Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma:
Sequence Modelling For Analysing Student Interaction with Educational Systems. EDM 2017 - [i2]Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma:
Sequence Modelling For Analysing Student Interaction with Educational Systems. CoRR abs/1708.04164 (2017) - [i1]Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma:
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. CoRR abs/1708.06403 (2017)
Coauthor Index
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