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Support Vector Machine in Chemistry

https://doi.org/10.1142/5589
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Support vector classification for structure-activity-relationship of 1-(1H-1,2,4-triazole-1-yl)-2-(2,4-difluorophenyl)-3-substituted-2-propanols
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Geographical Authentication of Tequila According to its Mineral Content by Means of Support Vector Machines
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Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
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A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine
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Development of support vector regression (SVR)-based model for prediction of circulation rate in a vertical tube thermosiphon reboiler
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Support vector regression applied to materials optimization of sialon ceramics
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Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysis
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Quantitative structure–activity relations based on quantum theory and wavelet transformations
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Novel application of support vector machines to model the two phase boiling heat transfer coefficient in a vertical tube thermosiphon reboiler
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Two semi-empirical approaches for the prediction of oxide ionic conductivities in ABO3 perovskites
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Modelling the fresh properties of self-compacting concrete using support vector machine approach
inferred← citeshttps://doi.org/10.1016/j.cor.2012.05.015openalex-snapshot
Supervised classification and mathematical optimization
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Variable selection in kernel Fisher discriminant analysis by means of recursive feature elimination
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Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity
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Support vector machines: Development of QSAR models for predicting anti-HIV-1 activity of TIBO derivatives
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Prediction of selectivity coefficients of univalent anions for anion-selective electrode using support vector machine
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Prediction of building energy consumption using an improved real coded genetic algorithm based least squares support vector machine approach
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Classification of Spanish DO white wines according to their elemental profile by means of support vector machines
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Predicting thermal–hydraulic performances in compact heat exchangers by support vector regression
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Modeling mercury speciation in combustion flue gases using support vector machine: Prediction and evaluation
inferred← citeshttps://doi.org/10.1016/j.jmgm.2008.04.005openalex-snapshot
Prediction of bond dissociation enthalpy of antioxidant phenols by support vector machine
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2013.10.016openalex-snapshot
Effects of nanoparticle additives on the properties of agarose polymer electrolytes
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Support vector machines for modelling phosphocalcic hydroxyapatite by precipitation from a calcium carbonate solution and phosphoric acid solution
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Elasticity estimation and forecasting: An analysis of residential electricity demand in Brazil
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A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction
inferred← citeshttps://doi.org/10.1016/j.msec.2021.112553openalex-snapshot
Machine learning to empower electrohydrodynamic processing
inferred← citeshttps://doi.org/10.1016/j.physa.2007.03.050openalex-snapshot
Price forecast in the competitive electricity market by support vector machine
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Mahalanobis distance based similarity regression learning of NIRS for quality assurance of tobacco product with different variable selection methods
inferred← citeshttps://doi.org/10.1016/j.solidstatesciences.2005.10.011openalex-snapshot
Using support vector regression for the prediction of the band gap and melting point of binary and ternary compound semiconductors
inferred← citeshttps://doi.org/10.1016/j.tca.2008.03.014openalex-snapshot
The phase diagram of the RbF–RbI system
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Prediction of the eutectic mixture formation of monovalent cation ternary salt mixture based on theoretical modeling and differential scanning calorimeter method
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Phase diagram of the CsBr-CaBr2 system
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Machine Learning and Energy Minimization Approaches for Crystal Structure Predictions: A Review and New Horizons
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Screening for New Antidepressant Leads of Multiple Activities by Support Vector Machines
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Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
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Prediction of Coal Ash Fusion Temperature by Least-Squares Support Vector Machine Model
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X-ray Spectroscopy and Chemometric Methods for Real-Time Characterization of Petroleum for the Refining Process through True Boiling Point Curve and American Petroleum Institute Gravity
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Accurate Quantitative Structure−Property Relationship Model To Predict the Solubility of C 60 in Various Solvents Based on a Novel Approach Using a Least-Squares Support Vector Machine
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On the Covalent Character of Rare Gas Bonding Interactions: A New Kind of Weak Interaction
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He@Mo6Cl8F6: A Stable Complex of Helium
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Diverse structures of metal–organic frameworks based on different metal ions: luminescence and gas adsorption properties
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Characterization of Tobacco Leaves by Near-Infrared Reflectance Spectroscopy and Electronic Nose with Support Vector Machine
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Demand forecasting of perishable farm products using support vector machine
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QSPR based on support vector machines to predict the glass transition temperature of compounds used in manufacturing OLEDs
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Chemometric modeling to predict aquatic toxicity of benzene derivatives in Pimephales Promelas
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L2P-Norm Distance Twin Support Vector Machine
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Multi-Objective Optimization of Manufacturing Process in Carbon Fiber Industry Using Artificial Intelligence Techniques
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Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids
inferred← citeshttps://doi.org/10.1109/bibe.2007.4375675openalex-snapshot
Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification
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Remote sensing retrieval of suspended solids in Longquan Lake based on GA-SVM model
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Automatic Detection of Toxic South African Tweets Using Support Vector Machines with N-Gram Features
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Inductive Intrusion Detection in Flow-Based Network Data Using One-Class Support Vector Machines
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Support vector machine for SAR/QSAR of phenethyl-amines
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Utilizing State‐of‐the‐Art Machine Learning Models for Reliable Hydropower Capacity Estimation
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Supervised extensions of chemography approaches: case studies of chemical liabilities assessment
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Double-head transformer neural network for molecular property prediction
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A Survey of QSAR Studies
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Diesel Oil Quality Parameter Determinations Using Support Vector Regression and near Infrared Spectroscopy for Hydrotreating Feedstock Monitoring
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Classification of Jet Fuel Properties by Near-Infrared Spectroscopy Using Fuzzy Rule-Building Expert Systems and Support Vector Machines
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Predicting the Shear Strength of Fiber Reinforced Concrete Corbels Via Support Vector Machines
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A practical overview of quantitative structure-activity relationship
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Classification of Hepatitis Patients Using Logistic Regression and Support Vector Machines Methods
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Unravelling the heterogeneity of farms irrigation practices on Mediterranean perennial agricultural systems for the optimization of water resource management
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Approach to novel functional foods for stress control: 1. Toward structure-activity relationship and data mining of food compounds by chemoinformatics
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Arsenate removal from aqueous solution using chitosan-coated bentonite, chitosan-coated kaolinite and chitosan-coated sand: parametric, isotherm and thermodynamic studies
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QSAR Study of PARP Inhibitors by GA-MLR, GA-SVM and GA-ANN Approaches
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Toxicity Information and Its QSAR Prediction of Chemical Substances
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Adjustable speed drive bearing fault detection via support vector machine incorporating feature selection using genetic algorithm
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The Importance of Rare-Earth Additions in Zr-Based AB2 Metal Hydride Alloys
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Machine Learning and Quantum Calculation for Predicting Yield in Cu-Catalyzed P–H Reactions
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SUPPORT VECTOR MACHINES IN STRUCTURAL ENGINEERING: A REVIEW
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Application of Machine Training Methods to Design of New Inorganic Compounds
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Comparative Analysis of Statistical, Machine Learning, and Grey Methods for Short-Term Electricity Load Forecasting
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Comparative Analysis of Statistical, Machine Learning, and Grey Methods for Short-Term Electricity Load Forecasting
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Support Vector Regression Methodology for Performance Prediction of an Automotive Torque Converter with Turbine Parametric Model
inferred← citeshttps://doi.org/10.48550/arxiv.2007.11902openalex-snapshot
A binary-response regression model based on support vector machines
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