Hangjun Che
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View article: CAME-AB: Cross-Modality Attention with Mixture-of-Experts for Antibody Binding Site Prediction
CAME-AB: Cross-Modality Attention with Mixture-of-Experts for Antibody Binding Site Prediction Open
Antibody binding site prediction plays a pivotal role in computational immunology and therapeutic antibody design. Existing sequence or structure methods rely on single-view features and fail to identify antibody-specific binding sites on …
View article: Unsupervised feature selection based on generalized regression model with linear discriminant constraints
Unsupervised feature selection based on generalized regression model with linear discriminant constraints Open
Unsupervised feature selection (UFS) methods play a crucial role in improving the efficiency of extracting relevant information and reducing computational complexity in the context of big data analysis. Despite notable advancements in the …
View article: Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization
Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization Open
Non-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. Non-negative Matrix Tri-Factorization (NMTF) is a generalization of NMF that incorporates a third non-negative factorization matrix, and has shown impress…
View article: Data-driven stock forecasting models based on neural networks: A review
Data-driven stock forecasting models based on neural networks: A review Open
As a core branch of financial forecasting, stock forecasting plays a crucial role for financial analysts, investors, and policymakers in managing risks and optimizing investment strategies, significantly enhancing the efficiency and effect…
View article: Robust Low-Rank Graph Multi-View Clustering via Cauchy Norm Minimization
Robust Low-Rank Graph Multi-View Clustering via Cauchy Norm Minimization Open
Graph-based multi-view clustering methods aim to explore the partition patterns by utilizing a similarity graph. However, many existing methods construct a consensus similarity graph based on the original multi-view space, which may result…
View article: Segmentation of Brain Tissues from MRI Images Using Multitask Fuzzy Clustering Algorithm
Segmentation of Brain Tissues from MRI Images Using Multitask Fuzzy Clustering Algorithm Open
In recent years, brain magnetic resonance imaging (MRI) image segmentation has drawn considerable attention. MRI image segmentation result provides a basis for medical diagnosis. The segmentation result influences the clinical treatment di…
View article: An Improved Superpixel-based Fuzzy C-Means Method for Complex Picture Segmentation Tasks
An Improved Superpixel-based Fuzzy C-Means Method for Complex Picture Segmentation Tasks Open
Fuzzy c-means (FCM) has attracted wide attentions on picture segmentation as its fuzzy attribute matches the histogram distribution of a picture. However, the fuzzy c-means for the segmentation of a picture with massy noises is barely inve…
View article: A metaheuristic-based framework for index tracking with practical constraints
A metaheuristic-based framework for index tracking with practical constraints Open
Recently, numerous investors have shifted from active strategies to passive strategies because the passive strategy approach affords stable returns over the long term. Index tracking is a popular passive strategy. Over the preceding year, …