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04/17/2023
Sparse Positive-Definite Estimation for Large Covariance Matrices with Repeated Measurements
In many fields of biomedical sciences, it is common that random variable...
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11/14/2022
An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM
The Coronavirus Disease 2019 (COVID-19) has posed a severe threat to glo...
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08/23/2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Over recent years, there has been a rapid development of deep learning (...
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07/22/2022
Towards Fairness-Aware Multi-Objective Optimization
Recent years have seen the rapid development of fairness-aware machine l...
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09/14/2021
How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search
In the deployment of deep neural models, how to effectively and automati...
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02/28/2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Due to limited computational cost and energy consumption, most neural ne...
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10/16/2019
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
Active learning (AL) integrates data labeling and model training to mini...
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10/08/2019
Controlling Costs: Feature Selection on a Budget
The traditional framework for feature selection treats all features as c...
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07/19/2019
Reluctant Interaction Modeling
Including pairwise interactions between the predictors of a regression m...
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12/06/2017
Estimating the error variance in a high-dimensional linear model
The lasso has been studied extensively as a tool for estimating the coef...
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04/25/2016