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Genetic Algorithms for Support Vector Machine Model Selection

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Unsupervised Streaming Feature Selection in Social Media

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A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models

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Hippocampal Shape Analysis of Alzheimer Disease Based on Machine Learning Methods

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A Framework for the Recognition of High-Level Surgical Tasks From Video Images for Cataract Surgeries

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Characterization of Post-traumatic Stress Disorder Using Resting-State fMRI with a Multi-level Parametric Classification Approach

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Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

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A pitfall and solution in multi-class feature selection for text classification

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Feature Selection Based on the SVM Weight Vector for Classification of Dementia

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Resting-State Multi-Spectrum Functional Connectivity Networks for Identification of MCI Patients

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Discovering public sentiment in social media for predicting stock movement of publicly listed companies

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Dendrite Net: A White-Box Module for Classification, Regression, and System Identification

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Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces

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Accurate identification of alternatively spliced exons using support vector machine

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Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil

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Feature Selection and Extraction

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Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data

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Detecting mental fatigue from eye-tracking data gathered while watching video: Evaluation in younger and older adults

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Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models

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A Minimal Set of Electrodes for Motor Imagery BCI to Control an Assistive Device in Chronic Stroke Subjects: A Multi-Session Study

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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms

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Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets

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Continental-Scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)

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Sleep–wake stages classification and sleep efficiency estimation using single-lead electrocardiogram

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Stability of Feature Selection Algorithms

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Health Big Data Analytics: A Technology Survey

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SVM Feature Selection Based Rotation Forest Ensemble Classifiers to Improve Computer-Aided Diagnosis of Parkinson Disease

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Feature Selection with Annealing for Computer Vision and Big Data Learning

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Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data

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Facial expressions contribute more than body movements to conversational outcomes in avatar-mediated virtual environments

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Applications of machine learning in pipeline integrity management: A state-of-the-art review

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Green learning: Introduction, examples and outlook

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A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue

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Classification of a large microarray data set: Algorithm comparison and analysis of drug signaturesPreprint

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Different multivariate techniques for automated classification of MRI data in Alzheimer’s disease and mild cognitive impairment

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An Automated Machine Learning Approach for Smart Waste Management Systems

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Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies

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Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment

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A comparative investigation of modern feature selection and classification approaches for the analysis of mass spectrometry data

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AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks

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Gene expression profiling of CD34+ cells identifies a molecular signature of chronic myeloid leukemia blast crisis

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Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No “Face” Identification Area

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Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at Plot Scale

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Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier

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Breast Cancer Statistics and Prediction Methodology: A Systematic Review and Analysis

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Biomarker discovery in microarray gene expression data with Gaussian processes

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Heterogeneous data fusion for alzheimer's disease study

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Structure damage detection based on random forest recursive feature elimination

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Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway

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Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification

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Group ICA for identifying biomarkers in schizophrenia: ‘Adaptive’ networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression

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F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation

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A hybrid ensemble-filter wrapper feature selection approach for medical data classification

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Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran

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FEATURE SELECTION USING PSO-SVM

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A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification

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Quantitative Structure-Activity Relationship (QSAR): Modeling Approaches to Biological Applications

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Multi-objective evolutionary feature selection for online sales forecasting

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iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition

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Current approaches for choosing feature selection and learning algorithms in quantitative structure–activity relationships (QSAR)

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Observed, Executed, and Imagined Action Representations can be Decoded From Ventral and Dorsal Areas

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Phase II Genomics Study of Ixabepilone as Neoadjuvant Treatment for Breast Cancer

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Integrated framework for profit-based feature selection and SVM classification in credit scoring

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Machine Learning in Internet Search Query Selection for Tourism Forecasting

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Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records

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Sequence features that drive human promoter function and tissue specificityPreprint

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Automatic speech emotion recognition using an optimal combination of features based on EMD-TKEO

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Submitted to Machine Learning. Summary

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