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07/05/2022
Stochastic Variational Methods in Generalized Hidden Semi-Markov Models to Characterize Functionality in Random Heteropolymers
Recent years have seen substantial advances in the development of biofun...
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04/10/2022
A review of knowledge graph application scenarios in cyber security
Facing the dynamic complex cyber environments, internal and external cyb...
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02/27/2022
DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition
One of the most significant challenges of EEG-based emotion recognition ...
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01/01/2022
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness
It is well-known that deep neural networks (DNNs) have shown remarkable ...
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10/23/2020
Exercise Hierarchical Feature Enhanced Knowledge Tracing
Knowledge tracing is a fundamental task in the computer-aid educational ...
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10/23/2020
Exploring Common and Individual Characteristics of Students via Matrix Recovering
Balancing group teaching and individual mentoring is an important issue ...
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10/07/2020
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
Pre-trained models like BERT (Devlin et al., 2018) have dominated NLP / ...
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06/13/2020
HGKT : Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing
Knowledge tracing (KT) which aims at predicting learner's knowledge mast...
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02/08/2020
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition
Despite the recent success of deep learning in continuous sign language ...
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10/16/2018
Channel Attention and Multi-level Features Fusion for Single Image Super-Resolution
Convolutional neural networks (CNNs) have demonstrated superior performa...
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06/30/2017
Providing Effective Real-time Feedback in Simulation-based Surgical Training
Virtual reality simulation is becoming popular as a training platform in...
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03/04/2017