research
∙
05/11/2023
Enhancing Vascular Analysis with Distance Visualizations: An Overview and Implementation
In recent years, the use of expressive surface visualizations in the rep...
share
research
∙
02/25/2022
Predicting 4D Liver MRI for MR-guided Interventions
Organ motion poses an unresolved challenge in image-guided interventions...
research
∙
09/11/2021
Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading
Sequential modelling entails making sense of sequential data, which natu...
research
∙
07/30/2021
Inference for Dependent Data with Learned Clusters
This paper presents and analyzes an approach to cluster-based inference ...
research
∙
07/06/2021
Inference for Low-Rank Models
This paper studies inference in linear models whose parameter of interes...
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
∙
04/08/2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Various convolutional neural network (CNN) based concepts have been intr...
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
∙
02/09/2021
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence
Recent studies demonstrated the eligibility of convolutional neural netw...
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
∙
09/23/2020
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
Background and Objective: Accurate and reliable segmentation of the pros...
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
∙
10/04/2019
4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings
Purpose: We aim to develop a robust 4D MRI method for large FOVs enablin...
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
∙
12/19/2018
Inference For Heterogeneous Effects Using Low-Rank Estimations
We study a panel data model with general heterogeneous effects, where sl...
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
∙
06/05/2018
High-Dimensional Econometrics and Regularized GMM
This chapter presents key concepts and theoretical results for analyzing...
research
∙
06/05/2018
High-Dimensional Econometrics and Generalized GMM
This chapter presents key concepts and theoretical results for analyzing...
research
∙
08/14/2017
Sequence Modelling For Analysing Student Interaction with Educational Systems
The analysis of log data generated by online educational systems is an i...
research
∙
01/30/2017
Double/Debiased/Neyman Machine Learning of Treatment Effects
Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, and Newey (2016) prov...
research
∙
07/30/2016
Double/Debiased Machine Learning for Treatment and Causal Parameters
Most modern supervised statistical/machine learning (ML) methods are exp...
research
∙
11/11/2013
