Intelligent Computing Theories and Application

associations by structural perturbation method.- Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations.- A link and Weight-Based Ensemble Clustering for Patient Stratification.- HGMDA:HyperGraph for Predicting MiRNA-disease Association.- Discovering Driver Mutation Profiles in Cancer with A Local Centrality Score.- LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction.- Distinguishing driver missense mutations from benign polymorphisms in breast cancer.- A novel method to predict protein regions driving cancer through integration of multi-omics data.- In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information.- Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest.- Prediction of human lncRNAs based on integrated information entropy features.- A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel.- A Novel Approach to predicting miRNA-disease associations.- Hierarchical Attention Network for Predicting DNA-Protein Binding Sites.- Motif discovery via convolutional networks with k-mer embedding.- Whole-Genome Shotgun Sequence of Natronobacterium Gregoryi SP2.- The detection of gene modules with overlapping characteristic via integrating multi-omics data in six cancers.- Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations.- A prediction method of DNA-binding proteins based on evolutionary information.- Research on RNA Secondary Structure Prediction Based on Decision Tree.- Improving hot region prediction by combining gaussian naïve Bayes and DBSCAN.- An efficient LightGBM model to predict protein selfinteracting using Chebyshev moments and bi-gram.- Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-Interacting Proteins.- Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information.- Research on HP Model Optimization Method Based on Reinforcement Learning.- EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data.- Regulatory sequence architecture of stress responsive genes in (Oryza sativa).- Identifying Cancer Biomarkers from High-throughput RNA sequencing Data by Machine Learning.- Identification of prognostic and heterogeneous breast cancer biomarkers based on fusion network and multiple scoring strategies.- A Novel Differential Essential Genes Prediction Method Based on Random Forests Model.- Identification of candidate biomarkers and pathways associated with liver cancer by bioinformatics analysis.- Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model.- CNN and Metadata for classification of benign and malignant melanomas.- An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data sets.- Fully Convolutional Neural Networks for 3D Vehicle Detection based on Point Clouds.- Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier.- Graph-SLAM Based Hardware-in-the-loop-simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 open source.- Evaluating CNNs for Military Target Recognition.- Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease.- Research of Formal Analysis Based on Extended Strand Space Theories.- The Application of Artificial Intelligence in Music Education.- Single-machine green scheduling problem of multi-speed machine.- Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan.- Water Wave Optimization for the Multidimensional Knapsack Problem.- A Complex-valued Firefly Algorithm.- Gene Expression Prediction Based on Hybrid Evolutionary Algorithm.- MPdeep: the medical procession with deep learning.- Predicting potential Drug-Target Interactions with Multi-label learning and ensemble learning.- Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors.- Electrocardiogram Diagnosis Based on SMOTE ENN and Random Forest.- Complex leaves classification with features extractor.- IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering.