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Sadhu Ramakrishnan Balasundaram

Observed names: Balasundaram S R, Balasundaram S. R., Balasundaram Sadhu Ramakrishnan, S Balasundaram, S. BALASUNDARAM, S. Balasundaram, S. R. Balasundaram, S.R. Balasundaram
Observed institutions: National Institute of Technology Tiruchirappalli, Jawaharlal Nehru University, Brown University, Department of Science and Technology, Indian Institute of Technology Delhi, Maulana Azad National Institute of Technology
ORCID: 0000-0002-6590-5076
Observed ORCID: 0000-0002-6590-5076
OpenAlex ID: A5029024321
1-Norm extreme learning machine for regression and multiclass classification using Newton method
2013 · S. Balasundaram, Deepak Gupta, et al. · Neurocomputing · 65
On Lagrangian twin support vector regression
2012 · S. Balasundaram, M. Tanveer · Neural Computing and Applications · 64
Data Analysis in Context-Based Statistical Modeling in Predictive Analytics
2020 · Selvan C., S. R. Balasundaram · Advances in data mining and database management book series · 53
On optimization based extreme learning machine in primal for regression and classification by functional iterative method
2014 · S. Balasundaram, Deepak Gupta · International Journal of Machine Learning and Cybernetics · 50
Training Lagrangian twin support vector regression via unconstrained convex minimization
2014 · S. Balasundaram, Deepak Gupta · Knowledge-Based Systems · 45
Improving readability through extractive summarization for learners with reading difficulties
2013 · K. Nandhini, S.R. Balasundaram · Egyptian Informatics Journal · 42
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Robust Support Vector Regression in Primal with Asymmetric Huber Loss
2018 · S. Balasundaram, Yogendra Meena · Neural Processing Letters · 40
On Lagrangian support vector regression
2010 · S. Balasundaram, Kapil · Expert Systems with Applications · 35
A mixed finite element method for fourth order elliptic equations with variable coefficients
1984 · S. Balasundaram, P.K. Bhattacharyya · Computers & Mathematics with Applications · 31
Automatic text summarization by local scoring and ranking for improving coherence
2017 · P. Krishnaveni, S. R. Balasundaram · International Conference on Computing Methodologies and Communication (ICCMC) · 29
Use of Genetic Algorithm for Cohesive Summary Extraction to Assist Reading Difficulties
2013 · K. Nandhini, S. R. Balasundaram · Applied Computational Intelligence and Soft Computing · 27
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A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization
2016 · S. Balasundaram, Deepak Gupta, et al. · Applied Intelligence · 26
Extracting easy to understand summary using differential evolution algorithm
2013 · K. Nandhini, S.R. Balasundaram · Swarm and Evolutionary Computation · 23
Automatic generation of multiple choice questions for e-assessment
2017 · A. Santhanavijayan, S.R. Balasundaram, et al. · International Journal of Signal and Imaging Systems Engineering · 21
On existence of solution of the Dirichlet problem of fourth order partial differential equations with variable coefficients
1983 · S. Balasundaram, P. K. Bhattacharyya · Quarterly of Applied Mathematics · 19
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Automatic generation of multiple choice questions for e-assessment
2017 · A. Santhanavijayan, S.R. Balasundaram, et al. · International Journal of Signal and Imaging Systems Engineering · 18
On proximal bilateral-weighted fuzzy support vector machine classifiers
2012 · S. Balasundaram, M. Tanveer · International Journal of Advanced Intelligence Paradigms · 18
Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives
2011 · S. Balasundaram, Kapil · Neurocomputing · 18
Ontology Mapping for Retrieval Augmented Modelling to Reduce Factual Hallucinations in Pretrained Language Model-Based Auto-Generated Questions
2025 · R. Tharaniya Sairaj, S.R. Balasundaram · Applied Ontology · 16
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Two-factor-based RSA key generation from fingerprint biometrics and password for secure communication
2022 · K. Suresh, Rajarshi Pal, et al. · Complex & Intelligent Systems · 16
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Exploring the Effectiveness of Deep Learning Architectures for Colorectal Polyp Detection: Performance Analysis and Insights
2024 · T. P. Raseena, Jitendra Kumar, et al. · SN Computer Science · 15
Effective Web-Service Discovery Using K-Means Clustering
2013 · A. Santhana Vijayan, S. R. Balasundaram · Lecture notes in computer science · 15
Training primal twin support vector regression via unconstrained convex minimization
2015 · S. Balasundaram, Yogendra Meena · Applied Intelligence · 14
The role of mulsemedia in digital content ecosystem design
2010 · Rajkumar Kannan, S. R. Balasundaram, et al. · International Conference on Management of Emergent Digital EcoSystems (MEDES) · 14
A Mixed Finite Element Method for Fourth Order Partial Differential Equations
1986 · S. Balasundaram, P. K. Bhattacharyya · ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik · 14
Works count: 126
Citation count: 1,078
H-index: 17
I10-index: 32
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