research
∙
10/02/2022
Robust Bayesian optimization with reinforcement learned acquisition functions
In Bayesian optimization (BO) for expensive black-box optimization tasks...
share
research
∙
12/09/2021
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction
Protein-protein interactions (PPIs) are essentials for many biological p...
research
∙
11/18/2021
Docking-based Virtual Screening with Multi-Task Learning
Machine learning shows great potential in virtual screening for drug dis...
research
∙
09/24/2021
Dimension Reduction for Data with Heterogeneous Missingness
Dimension reduction plays a pivotal role in analysing high-dimensional d...
research
∙
02/24/2021
Similarity measure for sparse time course data based on Gaussian processes
We propose a similarity measure for sparsely sampled time course data in...
research
∙
04/06/2020
A new approach for generation of generalized basic probability assignment in the evidence theory
The process of information fusion needs to deal with a large number of u...
research
∙
09/06/2019
