Biomedical Data Mining and Machine Learning for Disease Diagnosis and Health Informatics

Computational Methods for Physiological Signal Processing and Data Analysis

Classification of Dysphonic Voices in Parkinson's Disease with Semi-Supervised Competitive Learning Algorithm

Biological Signal Processing and Analysis for Healthcare Monitoring

Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images

Semi-Supervised Learning Based on Competitive Prototype Seeds Selection for Phonation Detection of Patients with Parkinson's Disease

Design and Performance Analysis of Multilevel Code-Shifted M-Ary Differential Chaos Shift Keying System

Separation and identification of rhythm components of local field potential signals in awake mice using ensemble empirical mode decomposition

Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters

Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods

Quantification of knee vibroarthrographic signal irregularity associated with patellofemoral joint cartilage pathology based on entropy and envelope amplitude measures

Analysis and Classification of Stride Patterns Associated with Children Development Using Gait Signal Dynamics Parameters and Ensemble Learning Algorithms

An Empirical Study of Features Fusion Techniques for Protein-Protein Interaction Prediction

Forward autoregressive modeling for stride process analysis in patients with idiopathic Parkinson's disease

Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method

Classification of knee joint vibroarthrographic signals using k-nearest neighbor algorithm

nDNA-prot: Identification of DNA-binding proteins based on unbalanced classification

Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis

Effective Dysphonia Detection Using Feature Dimension Reduction and Kernel Density Estimation for Patients with Parkinson's Disease

miRClassify: An advanced web server for miRNA family classification and annotation

LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

Briefing in family characteristics of microRNAs and their applications in cancer research

Adaptive Linear and Normalized Combination of Radial Basis Function Networks for Function Approximation and Regression

Fractal analysis of knee-joint vibroarthrographic signals via power spectral analysis

An Approach for Identifying Cytokines Based on a Novel Ensemble Classifier

Knee Joint Vibration Signal Analysis with Matching Pursuit Decomposition and Dynamic Weighted Classifier Fusion

Statistical Analysis of Gait Maturation in Children Using Nonparametric Probability Density Function Modeling

Classification of Knee Joint Vibration Signals Using Bivariate Feature Distribution Estimation and Maximal Posterior Probability Decision Criterion

Chondromalacia patellae detection by analysis of intrinsic mode functions in knee joint vibration signals

Effective Collaborative Learning in Biomedical Education Using a Web-Based Infrastructure

A gait cadence measurement method based on match filter and turns detection for human locomotion monitoring

Adaptive Noise Removal of Knee Joint Vibration Signals Using a Signal Power Error Minimization Method

Detrending Knee Joint Vibration Signals with a Cascade Moving Average Filter

Analysis of altered gait cycle duration in amyotrophic lateral sclerosis based on nonparametric probability density function estimation

Large-area and uniform surface modification of polymers by barrier discharge plasmas

Statistical Analysis of Gait Maturation in Children Based on Probability Density Functions

An artificial-neural-network-based multiple classifier system for knee-joint vibration signal classification

Statistical Analysis of Gait Rhythm in Patients With Parkinson‘s Disease

A PDF-based classification of gait cadence patterns in patients with amyotrophic lateral sclerosis