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Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm–support vector machines: HGASVM

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Modeling Pathologic Response of Esophageal Cancer to Chemoradiation Therapy Using Spatial-Temporal 18F-FDG PET Features, Clinical Parameters, and Demographics

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Ensemble Feature Selection for Plant Phenotyping: A Journey From Hyperspectral to Multispectral Imaging

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Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods

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Coronary Heart Disease Diagnosis Through Self-Organizing Map and Fuzzy Support Vector Machine with Incremental Updates

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Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance

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Radiomics in PET Imaging

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Predicting Optical Water Quality Indicators from Remote Sensing Using Machine Learning Algorithms in Tropical Highlands of Ethiopia

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Improving the accuracy of prediction of PM10 pollution by the wavelet transformation and an ensemble of neural predictors

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An Integrated Mechanism for Feature Selection and Fuzzy Rule Extraction for Classification

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Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with Support Vector Machines

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Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review

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Stable Gene Selection from Microarray Data via Sample Weighting

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Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features

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On transfer learning for chatter detection in turning using wavelet packet transform and ensemble empirical mode decomposition

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Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning

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A Hybrid CFS Filter and RF-RFE Wrapper-Based Feature Extraction for Enhanced Agricultural Crop Yield Prediction Modeling

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Analyzing Redundancy in Pretrained Transformer Models

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A survey on multi-label feature selection from perspectives of label fusion

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Dimension Reduction-Based Penalized Logistic Regression for Cancer Classification Using Microarray Data

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Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level

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Multi-scale enhanced graph convolutional network for mild cognitive impairment detection

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Please, tell me about yourself: automatic personality assessment using short self-presentations

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Pattern Classification of Working Memory Networks Reveals Differential Effects of Methylphenidate, Atomoxetine, and Placebo in Healthy Volunteers

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Sparse methods for biomedical data

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An Adaptive Forward Collision Warning Framework Design Based on Driver Distraction

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Plant discrimination by Support Vector Machine classifier based on spectral reflectance

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Lithology prediction by support vector classifiers using inverted seismic attributes data and petrophysical logs as a new approach and investigation of training data set size effect on its performance in a heterogeneous carbonate reservoir

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Support vector machine regression for the prediction of maize hybrid performance

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Analysis of recursive gene selection approaches from microarray data

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Computer-Aided Diagnosis of Skin Lesions Using Conventional Digital Photography: A Reliability and Feasibility Study

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A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process

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AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

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Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values

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Machine learning models for chronic kidney disease diagnosis and prediction

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Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison

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Support vector machine for optical diagnosis of cancer

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Multi-label ReliefF and F-statistic feature selections for image annotation

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Breath analysis as a potential diagnostic tool for tuberculosis

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EPILAB: A software package for studies on the prediction of epileptic seizures

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Texture Analysis in Magnetic Resonance Imaging: Review and Considerations for Future Applications

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Estimation of Wheat Plant Density at Early Stages Using High Resolution Imagery

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Gene selection algorithms for microarray data based on least squares support vector machine

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Exact top-k feature selection via l 2,0 -norm constraint

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Predicting depressive symptoms using smartphone data

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Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning

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Peripheral Blood Gene Expression as a Novel Genomic Biomarker in Complicated Sarcoidosis

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Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning

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Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients

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Identifying differences in protein expression levels by spectral counting and feature selection

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Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records

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Statistical analysis of proteomics data: A review on feature selection

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Computer-Aided Grading of Gliomas Combining Automatic Segmentation and Radiomics

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Microarray cancer feature selection: Review, challenges and research directions

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Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks

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Feature selection for the SVM: An application to hypertension diagnosis

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Feature Selection and Classification of MAQC-II Breast Cancer and Multiple Myeloma Microarray Gene Expression Data

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Breast Cancer Diagnosis Using Machine Learning Algorithms - A Survey

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Paddy-Rice Phenology Classification Based on Machine-Learning Methods Using Multitemporal Co-Polar X-Band SAR Images

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Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

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Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets

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Predicting childhood obesity using electronic health records and publicly available data

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Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Profiling

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On the parameter optimization of Support Vector Machines for binary classification

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Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis

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Submitted to Machine Learning. Summary

Guyon, I., Weston, J., & Barnhill, S. D. (2008)

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