PloS one

Sensors (Basel, Switzerland)

International journal of medical informatics

Neuropsychiatric disease and treatment

Computational Intelligence and Neuroscience

evolutionary bioinformatics online

annual review of genomics and human genetics

[1] Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.

[2] Distinguishing Species Using GC Contents in Mixed DNA or RNA Sequences.

[3] Automatic epilepsy detection using fractal dimensions segmentation and GP-SVM classification.

[4] Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model.

[5] Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control.

[6] Higher Order Feature Extraction and Selection for Robust Human Gesture Recognition using CSI of COTS Wi-Fi Devices.

[7] Effective Fingerprint Quality Estimation for Diverse Capture Sensors

[8] Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM

[9] Emphasis Learning, Features Repetition in Width Instead of Length to Improve Classification Performance: Case Study—Alzheimer’s Disease Diagnosis

[10] Recognition and Repetition Counting for Local Muscular Endurance Exercises in Exercise-Based Rehabilitation: A Comparative Study Using Artificial Intelligence Models.

[11] A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).

[12] A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea

[13] object classification using airborne multispectral lidar data

[14] evaluation of pattern recognition and feature extraction methods in adhd prediction.

[15] a comparative analysis among computational intelligence techniques for dissolved oxygen prediction in delaware river

[16] estimation of cross-lingual news similarities using text-mining methods

[17] mapping the expansion of boom crops in mainland southeast asia using dense time stacks of landsat data

[18] regions of interest computed by svm wrapped method for alzheimer’s disease examination from segmented mri

[19] discrimination of corsican honey by ft-raman spectroscopy and chemometrics

[20] classification of autistic individuals and controls using cross-task characterization of fmri activity

[21] Prediction of CO <inf>2</inf> adsorption on different activated carbons by hybrid group method of data-handling networks and LSSVM

[22] Advanced Support Vector Machine- (ASVM-) Based Detection for Distributed Denial of Service (DDoS) Attack on Software Defined Networking (SDN)

[23] A SVM algorithm for falling detection in an IoTs-based system

[24] Face recognition via skin fusion using SVM- LBP

[25] Comparative Analysis of ANN and SVM Models Combined with Wavelet Preprocess for Groundwater Depth Prediction

[26] The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.

[27] Deep learning and SVM classification for plant recognition in content-based large scale image retrieval

[28] Multi optimized SVM classifiers for motor imagery left and right hand movement identification.

[29] Sensor Drift Compensation Based on the Improved LSTM and SVM Multi-Class Ensemble Learning Models.

[30] Improving the SVM gender classification accuracy using clustering and incremental learning

[31] Comparison of the SVM classification results between original and DWT denoised respiratory signals considering to the transients noise

[32] Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.

[33] Automatic classification of monocots and dicots using SVM classifier

[34] Collecting Child Psychiatry Documents of Clinical Trials from PubMed by the SVM Text Classification Method with the MATF Weighting Scheme

[35] Brain Tumour Detection and Classification Using K-Means Clustering and SVM Classifier

[36] Application of ARIMA and SVM mixed model in agricultural management under the background of intellectual agriculture

[37] Sistem Pengenalan Wajah 3D Menggunakan ICP dan SVM

[38] Transient signal identification of HVDC transmission lines based on wavelet entropy and SVM

[39] Sentiment Analysis in E-commerce Using SVM on Roman Urdu Text

[40] Classification of spot-welded joint strength using ultrasonic signal time-frequency features and PSO-SVM method.

[41] Automatic epilepsy detection using fractal dimensions segmentation and GP-SVM classification.

[42] Sarcasm detection using naïve bayes SVM hybrid

[43] A Weld Joint Type Identification Method for Visual Sensor Based on Image Features and SVM.

[44] A novel transmission line protection using DOST and SVM

[45] Automatic recognition of corn straw coverage based on fast Fourier transform and SVM

[46] Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis.

[47] Current mode controlled fuzzy logic based inter leaved cuk converter SVM inverter fed induction motor drive system

[48] Ab-initio conformational epitope structure prediction using genetic algorithm and SVM for vaccine design.

[49] SVMTriP: a method to predict antigenic epitopes using support vector machine to integrate tri-peptide similarity and propensity.

[50] Prediction of CTL epitopes using QM, SVM and ANN techniques.

[51] Improving the Shilling Attack Detection in Recommender Systems Using an SVM Gaussian Mixture Model

[52] Comparative Analysis of SVM and ANN Classifiers using Multilevel Fusion of Multi-Sensor Data in Urban Land Classification

[53] Learning Biased SVM with Weighted Within-Class Scatter for Imbalanced Classification

[54] Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment

[55] Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion

[56] Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion.

[57] Correction to: Enhancing SVM for survival data using local invariances and weighting.

[58] A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).

[59] A novel F-SVM based on FOA for improving SVM performance

[60] Chaotic salp swarm optimization using svm for class imbalance problems

[61] Marathi handwritten character recognition using svm and knn classifier

[62] Database intrusion detection technology based on vgg-svm

[63] Facial expression recognition using histogram of oriented gradients with svm-rfe selected features

[64] Early recognition of herb sickness using svm

[65] Design of management learning system based on svm algorithm

[66] Application of svm algorithm in teaching process evaluation

[67] The detection of Parkinson disease using the genetic algorithm and SVM classifier

[68] Blended Environment of Naive Bayes and Support Vector Machine (SVM) for Designing Simulation Based E-Learning Respiratory System

[69] SVM-Based Hybrid Robust PIO Fault Diagnosis for Bearing

[70] Heart disorder prognosis employing knn, ann, id3 and svm

[71] Using VADER sentiment and SVM for predicting customer response sentiment

[72] Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications

[73] Integration of new moving object segmentation and classification techniques using optimal salp swarm-based feature fusion with linear multi k-SVM classifier

[74] Web intrusion detection system combined with feature analysis and SVM optimization

[75] Behavior assessment, regression analysis and support vector machine (SVM) modeling of waste tire rubberized concrete

[76] A multiclass SVM classifier with teaching learning based feature subset selection for enzyme subclass classification

[77] SVM-Boosting based on Markov resampling: Theory and algorithm

[78] A Simplified SVM-Based Fault-Tolerant Strategy for Cascaded H-Bridge Multilevel Converters

[79] Classification of Complex Power Quality Disturbances Using Optimized S-Transform and Kernel SVM

[80] Detection of cervical cancer cells based on strong feature CNN-SVM network

[81] On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction

[82] Hybrid SVM-CIPSO methods for optimal operation of reservoir considering unknown future condition

[83] Feature selected cost-sensitive twin SVM for imbalanced data

[84] Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries

[85] Demand forecasting with color parameter in retail apparel industry using artificial neural networks (ANN) and support vector machines (SVM) methods

[86] CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes

[87] Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM)

[88] Least-Square Support Vector Machine (LS-SVM) Parameters Optimization using Hybrid Cuckoo Search and Harmony Search Algorithm for Pre Collision Warning on Driver Assistance System (DAS)

[89] Detection of Oil and Filter Feasibility in Ship Gearbox with SVM (Support Vector Machine) Method Based on Microcontroller

[90] Determination of Granting Appropriateness Credit at "daruzzakah Rensing" Cooperative Using the Support Vector Machine (SVM) Algorithm

[91] Rice disease classification based on leaf image using multilevel Support Vector Machine (SVM)

[92] Multi-class document classification using support vector machine (SVM) based on improved naïve bayes vectorization technique

[93] Classification of Hyperspectral Images using Edge Preserving Filter and Nonlinear Support Vector Machine (SVM)

[94] Sentiment analysis of Indonesian presisential election 2019 on the twitter with lexicon-based and support vector machine (SVM)

[95] Comparison between SVM and MLP neural network model for myoelectric signal classification

[96] Support vector machine (SVM) marketing strategy analysis method based on time series

[97] An efficient detection of structural similarity in mammograms using support vector machine (SVM) classifier

[98] Experimental study of hydrogen enriched compressed natural gas (HCNG) engine and application of support vector machine (SVM) on prediction of engine performance at specific condition

[99] SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso

[100] Application of support vector machine (SVM) in the sentiment analysis of twitter dataset

[101] Extracting soil salinization information with a fractional-order filtering algorithm and grid-search support vector machine (GS-SVM) model