On the public citation graph
Radial Basis Function Network-Based Transform for a Nonlinear Support Vector Machine as Optimized by a Particle Swarm Optimization Algorithm with Application to QSAR Studies
0 signed · 72 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jcc.20094openalex-snapshot
Hybridized particle swarm algorithm for adaptive structure training of multilayer feed‐forward neural network: QSAR studies of bioactivity of organic compounds
inferredcites →https://doi.org/10.1002/qsar.200530204openalex-snapshot
Quantitative Structure–Activity Relationship Studies for the Binding Affinities of Imidazobenzodiazepines for the α6 Benzodiazepine Receptor Isoform Utilizing Optimized Blockwise Variable Combination by Particle Swarm Optimization for Partial Least Squares Modeling
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/s11721-007-0002-0openalex-snapshot
Particle swarm optimization
inferredcites →https://doi.org/10.1016/j.aca.2006.12.004openalex-snapshot
Self-modeling curve resolution (SMCR) by particle swarm optimization (PSO)
inferredcites →https://doi.org/10.1016/j.bmc.2003.11.009openalex-snapshot
QSAR modeling of HIV-1 reverse transcriptase inhibitor 2-amino-6-arylsulfonylbenzonitriles and congeners using molecular connectivity and E-state parameters
inferredcites →https://doi.org/10.1016/j.ejps.2006.04.002openalex-snapshot
Boosting support vector regression in QSAR studies of bioactivities of chemical compounds
inferredcites →https://doi.org/10.1021/ac035522mopenalex-snapshot
Multivariate Calibration with Least-Squares Support Vector Machines
inferredcites →https://doi.org/10.1021/ci0340916openalex-snapshot
Drug Discovery Using Support Vector Machines. The Case Studies of Drug-likeness, Agrochemical-likeness, and Enzyme Inhibition Predictions
inferredcites →https://doi.org/10.1021/ci049642mopenalex-snapshot
Piecewise Hypersphere Modeling by Particle Swarm Optimization in QSAR Studies of Bioactivities of Chemical Compounds
inferredcites →https://doi.org/10.1021/ci049820bopenalex-snapshot
QSAR Models for the Prediction of Binding Affinities to Human Serum Albumin Using the Heuristic Method and a Support Vector Machine
inferredcites →https://doi.org/10.1021/ci049965iopenalex-snapshot
Comparative Study of QSAR/QSPR Correlations Using Support Vector Machines, Radial Basis Function Neural Networks, and Multiple Linear Regression
inferredcites →https://doi.org/10.1021/ci0504317openalex-snapshot
Combinatorial QSAR Modeling of P-Glycoprotein Substrates
inferredcites →https://doi.org/10.1021/ie980278oopenalex-snapshot
Improving the Prediction Capability of Radial Basis Function Networks
inferredcites →https://doi.org/10.1021/jm0004906openalex-snapshot
2-Amino-6-arylsulfonylbenzonitriles as Non-nucleoside Reverse Transcriptase Inhibitors of HIV-1
inferredcites →https://doi.org/10.1021/jm9804681openalex-snapshot
Structure−Activity Relationships for 1-Phenylbenzimidazoles as Selective ATP Site Inhibitors of the Platelet-Derived Growth Factor Receptor
inferredcites →https://doi.org/10.1021/jm980658bopenalex-snapshot
Structure−Activity Relationships for 5-Substituted 1-Phenylbenzimidazoles as Selective Inhibitors of the Platelet-Derived Growth Factor Receptor
inferredcites →https://doi.org/10.1039/a805562iopenalex-snapshot
Neural networks in multivariate calibration
inferredcites →https://doi.org/10.1080/00401706.1999.10485951openalex-snapshot
Statistical Learning Theory
inferredcites →https://doi.org/10.1093/bioinformatics/btg102openalex-snapshot
Classification of multiple cancer types by multicategory support vector machines using gene expression data
inferredcites →https://doi.org/10.1093/bioinformatics/btg331openalex-snapshot
Classification of protein quaternary structure with support vector machine
inferredcites →https://doi.org/10.1109/4235.985692openalex-snapshot
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
inferredcites →https://doi.org/10.1109/cec.2001.934259openalex-snapshot
Proceedings Congress on Evolutionary Computation 2001
inferredcites →https://doi.org/10.1109/cec.2001.934377openalex-snapshot
Fuzzy adaptive particle swarm optimization
inferredcites →https://doi.org/10.1109/icec.1998.699146openalex-snapshot
A modified particle swarm optimizer
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cem.2508openalex-snapshot
Prediction of liquid‐crystalline property using support vector machine classification
inferred← citeshttps://doi.org/10.1002/chem.202301840openalex-snapshot
Exploring Hydrogen Storage Capacity in Metal‐Organic Frameworks: A Bayesian Optimization Approach
inferred← citeshttps://doi.org/10.1002/minf.201600153openalex-snapshot
Predicting the Enzymatic Hydrolysis Half‐lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination
inferred← citeshttps://doi.org/10.1002/pen.23470openalex-snapshot
Prediction of the Q–e parameters from transition state structures
inferred← citeshttps://doi.org/10.1002/qsar.200860065openalex-snapshot
Estimation of Soil Organic Carbon Normalized Sorption Coefficient (Koc) Using Least Squares‐Support Vector Machine
inferred← citeshttps://doi.org/10.1007/978-0-387-30440-3_133openalex-snapshot
Drug Design with Artificial Intelligence Methods
inferred← citeshttps://doi.org/10.1007/978-3-642-27296-7_104openalex-snapshot
An Approach on Feature Selection of Cascaded Support Vector Machines with Particle Swarm Optimization Algorithm
inferred← citeshttps://doi.org/10.1007/s10822-008-9240-5openalex-snapshot
On the interpretation and interpretability of quantitative structure–activity relationship models
inferred← citeshttps://doi.org/10.1007/s11030-010-9232-yopenalex-snapshot
Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling
inferred← citeshttps://doi.org/10.1007/springerreference_60305openalex-snapshot
Drug Design with Artificial Intelligence Methods
inferred← citeshttps://doi.org/10.1016/j.aca.2015.10.029openalex-snapshot
Determination of benzo[a]pyrene in cigarette mainstream smoke by using mid-infrared spectroscopy associated with a novel chemometric algorithm
inferred← citeshttps://doi.org/10.1016/j.chemolab.2013.10.011openalex-snapshot
QSAR analysis of the effects of OATP1B1 transporter by structurally diverse natural products using a particle swarm optimization-combined multiple linear regression approach
inferred← citeshttps://doi.org/10.1016/j.chemolab.2014.05.002openalex-snapshot
Recognition of candidate aptamer sequences for human hepatocellular carcinoma in SELEX screening using structure–activity relationships
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.06.016openalex-snapshot
Chemometrics tools in QSAR/QSPR studies: A historical perspective
inferred← citeshttps://doi.org/10.1016/j.compag.2013.03.009openalex-snapshot
Prediction of dissolved oxygen content in river crab culture based on least squares support vector regression optimized by improved particle swarm optimization
inferred← citeshttps://doi.org/10.1016/j.corsci.2014.02.023openalex-snapshot
Quantitative structure–activity relationship model for amino acids as corrosion inhibitors based on the support vector machine and molecular design
inferred← citeshttps://doi.org/10.1016/j.corsci.2015.06.003openalex-snapshot
The discussion of descriptors for the QSAR model and molecular dynamics simulation of benzimidazole derivatives as corrosion inhibitors
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2016.03.002openalex-snapshot
Developing a support vector machine based QSPR model for prediction of half-life of some herbicides
inferred← citeshttps://doi.org/10.1016/j.ejmech.2008.10.021openalex-snapshot
QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods
inferred← citeshttps://doi.org/10.1016/j.molstruc.2015.05.039openalex-snapshot
Combining radial basis function neural network with genetic algorithm to QSPR modeling of adsorption on multi-walled carbon nanotubes surface
inferred← citeshttps://doi.org/10.1016/j.neucom.2008.04.027openalex-snapshot
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization
inferred← citeshttps://doi.org/10.1016/j.nexres.2025.100148openalex-snapshot
Quinoxaline derivatives as corrosion inhibitors: Development of predictive machine using partial least squares and random forest (PLS/RF) models based on quantitative structure-activity relationship (QSAR)
inferred← citeshttps://doi.org/10.1016/j.talanta.2009.03.044openalex-snapshot
Variable selection using probability density function similarity for support vector machine classification of high-dimensional microarray data
inferred← citeshttps://doi.org/10.1016/j.talanta.2010.11.039openalex-snapshot
Adaptive variable-weighted support vector machine as optimized by particle swarm optimization algorithm with application of QSAR studies
inferred← citeshttps://doi.org/10.1016/j.talanta.2011.06.076openalex-snapshot
Unimodal transform of variables selected by interval segmentation purity for classification tree modeling of high-dimensional microarray data
inferred← citeshttps://doi.org/10.1016/j.talanta.2015.10.047openalex-snapshot
Multiplex protein pattern unmixing using a non-linear variable-weighted support vector machine as optimized by a particle swarm optimization algorithm
inferred← citeshttps://doi.org/10.1016/s1452-3981(23)13182-8openalex-snapshot
Experimental, Quantum Chemical and Molecular Dynamics Studies of Imidazoline Molecules Against the Corrosion of Steel and Quantitative Structure- Activity Relationship Analysis Using the Support Vector Machine (SVM) Method
inferred← citeshttps://doi.org/10.1021/ci100072zopenalex-snapshot
Pharmaceutical Perspectives of Nonlinear QSAR Strategies
inferred← citeshttps://doi.org/10.1021/ci900032qopenalex-snapshot
New Variable Selection Method Using Interval Segmentation Purity with Application to Blockwise Kernel Transform Support Vector Machine Classification of High-Dimensional Microarray Data
inferred← citeshttps://doi.org/10.1039/c1an15369bopenalex-snapshot
Swarm intelligence metaheuristics for enhanced data analysis and optimization
inferred← citeshttps://doi.org/10.1039/d4ra05875eopenalex-snapshot
Application of machine learning in developing a quantitative structure–property relationship model for predicting the thermal decomposition temperature of nitrogen-rich energetic ionic salts
inferred← citeshttps://doi.org/10.1080/1062936x.2014.942357openalex-snapshot
A novel approach to generate robust classification models to predict developmental toxicity from imbalanced datasets
inferred← citeshttps://doi.org/10.1109/access.2019.2897644openalex-snapshot
A Novel Hybrid Model Based on TVIW-PSO-GSA Algorithm and Support Vector Machine for Classification Problems
inferred← citeshttps://doi.org/10.1109/iccit.2007.25openalex-snapshot
SVM-FastICA Based Detection Ensemble System of EEG
inferred← citeshttps://doi.org/10.1109/iccit.2007.367openalex-snapshot
A Divide-and-Conquer Approach to Detecting Latent Community of Practice from Virtual Organizations
inferred← citeshttps://doi.org/10.1109/iccit.2007.4420588openalex-snapshot
SVM-FastICA Based Detection Ensemble System of EEG
inferred← citeshttps://doi.org/10.1142/s0219633614500126openalex-snapshot
Quantum chemical and molecular dynamics studies of imidazoline derivatives as corrosion inhibitor and quantitative structure–activity relationship (QSAR) analysis using the support vector machine (SVM) method
inferred← citeshttps://doi.org/10.13031/trans.12466openalex-snapshot
Handling Water Reflections for Computer Vision in Aquaculture
inferred← citeshttps://doi.org/10.1515/bmt-2015-0230openalex-snapshot
Pattern recognition of enrichment levels of SELEX-based candidate aptamers for human C-reactive protein
inferred← citeshttps://doi.org/10.1515/cppm-2025-0299openalex-snapshot
Efficacy of ultrasonic treatment for diazinon removal in aqueous solution: optimization by RSM and modeling by artificial neural networks (ANN) and support vector machine (SVM)
inferred← citeshttps://doi.org/10.17675/2305-6894-2023-12-4-36openalex-snapshot
Insights into corrosion inhibition development through QSAR and machine learning: Application to benzimidazole derivatives
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3662137/v1openalex-snapshot
Development of a model based on Support Vector Machines to predict the degradation of pesticides in biobeds systems
inferred← citeshttps://doi.org/10.2477/jccj.h1921openalex-snapshot
Prediction of Carcinogenicity of Noncongeneric Chemical Substances by a Support Vector Machine
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.121-126.1952openalex-snapshot
Automatic Red Blood Cell Classification for MICAD Based on PSO-CSVM
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amr.225-226.51openalex-snapshot
Emotion Fusion Recognition for Intelligent Surveillance with PSO-CSVM
inferred← citeshttps://doi.org/10.5772/18245openalex-snapshot
Bi-Modality Anxiety Emotion Recognition with PSO-CSVM
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.