research
∙
09/21/2021
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series
Industrial processes are monitored by a large number of various sensors ...
share
research
∙
09/04/2021
Representation Learning for Efficient and Effective Similarity Search and Recommendation
How data is represented and operationalized is critical for building com...
research
∙
07/05/2021
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving
Detecting faults in manufacturing applications can be difficult, especia...
research
∙
05/17/2021
Automatic Fake News Detection: Are Models Learning to Reason?
Most fact checking models for automatic fake news detection are based on...
research
∙
03/26/2021
Unsupervised Multi-Index Semantic Hashing
Semantic hashing represents documents as compact binary vectors (hash co...
research
∙
03/26/2021
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering
When reasoning about tasks that involve large amounts of data, a common ...
research
∙
02/02/2021
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset
Screwdriving is one of the most popular industrial processes. As such, i...
research
∙
12/22/2020
Multi-Head Self-Attention with Role-Guided Masks
The state of the art in learning meaningful semantic representations of ...
research
∙
11/25/2020
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
This report describes the participation of two Danish universities, Univ...
research
∙
07/01/2020
Unsupervised Semantic Hashing with Pairwise Reconstruction
Semantic Hashing is a popular family of methods for efficient similarity...
research
∙
06/17/2020
Factuality Checking in News Headlines with Eye Tracking
We study whether it is possible to infer if a news headline is true or f...
research
∙
05/31/2020
Content-aware Neural Hashing for Cold-start Recommendation
Content-aware recommendation approaches are essential for providing mean...
research
∙
09/15/2019
Modelling End-of-Session Actions in Educational Systems
In this paper we consider the problem of modelling when students end the...
research
∙
09/07/2019
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
We contribute the largest publicly available dataset of naturally occurr...
research
∙
06/03/2019
Contextually Propagated Term Weights for Document Representation
Word embeddings predict a word from its neighbours by learning small, de...
research
∙
06/03/2019
Unsupervised Neural Generative Semantic Hashing
Fast similarity search is a key component in large-scale information ret...
research
∙
03/20/2019
Neural Speed Reading with Structural-Jump-LSTM
Recurrent neural networks (RNNs) can model natural language by sequentia...
research
∙
03/20/2019
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Modelling sequential music skips provides streaming companies the abilit...
research
∙
03/20/2019
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking
Automatic fact-checking systems detect misinformation, such as fake news...
research
∙
11/13/2018
Predicting Distresses using Deep Learning of Text Segments in Annual Reports
Corporate distress models typically only employ the numerical financial ...
research
∙
08/14/2017
