MOCSS: Multi-omics data clustering and cancer subtyping via shared and specific representation learning

Deep Learning-Based Multiomics Data Integration Methods for Biomedical Application

HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Drug-Target Binding Affinity Prediction

A benchmark study of deep learning-based multi-omics data fusion methods for cancer

DTI-HETA: prediction of drug-target interactions based on GCN and GAT on heterogeneous graph

Unsupervised continual learning of single-cell clustering based on novelty detection and memory replay

NegStacking: Drug-Target Interaction Prediction Based on Ensemble Learning and Logistic Regression

Unsupervised Ensemble Learning with Noisy Label Correction

Drug-Target Interaction Prediction Based on Adversarial Bayesian Personalized Ranking

Drug-target interaction prediction based on nonnegative and self-representative matrix factorization

AdaDT: An adaptive decision tree for addressing local class imbalance based on multiple split criteria

A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network

A Deep Learning-Based Classification Method for Different Frequency EEG Data

DTIGCCN: Prediction of drug-target interactions based on GCN and CNN

A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds

Efficient Inference and Update via WordNet-Embedded Network Tree

Prediction of DTIs for high-dimensional and class-imbalanced data based on CGAN

A Unified Framework for Decision Tree on Continuous Attributes

A Unified Framework for Decision Tree on Continuous Attributes

Deep learning-based transcriptome data classification for drug-target interaction prediction

Deep Convolution Neural Network and Autoencoders-based Unsupervised Feature Learning of EEG Signals

DTI-RCNN: New efficient hybrid neural network model to predict drug–target interactions

Drug - Target interaction prediction with a deep-learning-based model

Events detection and community partition based on probabilistic snapshot for evolutionary social network

Discovery of novel therapeutic properties of drugs from transcriptional responses based on multi-label classification

Effective and extensible feature extraction method using genetic algorithm-based frequency-domain feature search for epileptic EEG multiclassification

A Multi-Objective Optimization Method for Emergency Medical Resources Allocation

A Hybrid Multi-Objective Evolutionary Algorith Operating Room Assignment Problem

Features extraction and multi-classification of sEMG using a GPU-Accelerated GA/MLP hybrid algorithm

Automatic epileptic seizure detection in EEGs using MF-DFA, SVM based on cloud computing

A two-dimensional matrix image based feature extraction method for classification of sEMG: A comparative analysis based on SVM, KNN and RBF-NN

Implementation of parallel multi-objective artificial bee colony algorithm based on spark platform

The role of control based on three-dimensional human model

Multi-Objective Algorithm for Blood Supply via Unmanned Aerial Vehicles to the Wounded in an Emergency Situation

Social media video popularity evolution analyzing based on information spreading model

Research on statistics-based model for E-commerce user purchase prediction

A Parallel Bee Colony Algorithm for Resource Allocation Application in Cloud Computing Environment

Research and implementation of PAM algorithm with time constraints

Outlier detection using neighborhood radius based on fractal dimension

An approach to cluster mobile users based on time and location

A K-means Clustering with Optimized Initial Center Based on Hadoop Platform

Research and optimization of duplicate records detection algorithm based on clustering tree

Research and optimization of duplicate records detection algorithm based on clustering tree

Research of mobile recommendation system based on hybrid recommendation technology

Research and application of the R-schedule algorithm in temporal planning

Approximately duplicate records detection based on complete sub-graph

A heuristic approximately duplicate records detection algorithm based on attributes analysis

A hybrid distance-based outlier detection approach

An Efficient Data Cleaning Algorithm Based on Attributes Selection