research
∙
09/09/2023
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
Educational Data Mining (EDM) has emerged as a vital field of research, ...
share
research
∙
03/02/2023
Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties
This paper is proposed to efficiently provide a convex approximation for...
research
∙
02/22/2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Artificial intelligence (AI)-empowered industrial fault diagnostics is i...
research
∙
08/10/2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Large-scale neural networks possess considerable expressive power. They ...
research
∙
05/16/2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
The probability prediction of multivariate time series is a notoriously ...
research
∙
09/22/2021
A Survey on Reinforcement Learning for Recommender Systems
Recommender systems have been widely applied in different real-life scen...
research
∙
09/10/2021
Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty
Collision avoidance is an essential concern for the autonomous operation...
research
∙
02/04/2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
The behaviors of deep neural networks (DNNs) are notoriously resistant t...
research
∙
01/28/2017