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09/20/2023
A Region-Shrinking-Based Acceleration for Classification-Based Derivative-Free Optimization
Derivative-free optimization algorithms play an important role in scient...
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08/09/2023
Classification of lung cancer subtypes on CT images with synthetic pathological priors
The accurate diagnosis on pathological subtypes for lung cancer is of si...
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12/23/2022
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing
Knowledge tracing (KT) aims to leverage students' learning histories to ...
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11/07/2022
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
Recently, discrete latent variable models have received a surge of inter...
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09/06/2022
The HoloLens in Medicine: A systematic Review and Taxonomy
The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-...
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10/14/2021
Neural Attention-Aware Hierarchical Topic Model
Neural topic models (NTMs) apply deep neural networks to topic modelling...
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10/14/2021
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
This paper proposes a transformer over transformer framework, called Tra...
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10/04/2021
Leveraging Information Bottleneck for Scientific Document Summarization
This paper presents an unsupervised extractive approach to summarize sci...
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08/11/2021
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
Medical images, especially volumetric images, are of high resolution and...
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08/06/2021
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo
The aortic vessel tree is composed of the aorta and its branching arteri...
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07/27/2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning aims to learn machine learning models from multiple d...
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02/28/2021
Topic Modelling Meets Deep Neural Networks: A Survey
Topic modelling has been a successful technique for text analysis for al...
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11/12/2020
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning
Supervised learning, characterized by both discriminative and generative...
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07/17/2020
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
Obtaining training data for multi-document summarization (MDS) is time c...
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06/15/2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
prevention of stroke with its associated risk factors has been one of th...
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02/21/2020
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering
Matrix factorization (MF) has been widely applied to collaborative filte...
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10/12/2019
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
Non-negative tensor factorization models enable predictive analysis on c...
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12/05/2018
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control
Online crowdsourcing provides a scalable and inexpensive means to collec...
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10/08/2018
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
This paper focuses on density-based clustering, particularly the Density...
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02/12/2018