S. Appavu alias Balamurugan

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 15

Top Topics

Diabetic Patients

Decision Making

Feature Selection

Top Venues

Int. J. Comput. Intell. Syst.

Int. J. Bus. Intell. Data Min.

J. Medical Imaging Health Informatics

Int. J. Autom. Comput.

Publications

K. Gopinath, S. Appavu alias Balamurugan
Human Resource Analytics: Leveraging Machine Learning for Employee Attrition Prediction. TDIT (1) (2022)
R. T. Subhalakshmi, S. Appavu alias Balamurugan, S. Sasikala
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images. Concurr. Eng. Res. Appl. 30 (1) (2022)
S. Appavu alias Balamurugan, M. Salomi
A predictive risk level classification of diabetic patients using deep learning modified neural network. J. Ambient Intell. Humaniz. Comput. 12 (7) (2021)
J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala
A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based Segmentation. J. Medical Imaging Health Informatics 11 (10) (2021)
A. S. Karthik Kannan, S. Appavu alias Balamurugan, S. Sasikala
A Novel Software Package Selection Method Using Teaching-Learning Based Optimization and Multiple Criteria Decision Making. IEEE Trans. Engineering Management 68 (4) (2021)
E. S. Vinoth Kumar, S. Appavu alias Balamurugan, S. Sasikala
Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making. Int. J. Comput. Intell. Syst. 14 (1) (2021)
A. S. Karthik Kannan, S. Appavu alias Balamurugan, S. Sasikala
A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making. IEEE Access 9 (2021)
J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala
Analysis of Deep Learning Techniques for Tuberculosis Disease. SN Comput. Sci. 2 (4) (2021)
R. T. Subhalakshmi, S. Appavu alias Balamurugan, S. Sasikala
Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier. J. Medical Imaging Health Informatics 11 (10) (2021)
S. Appavu alias Balamurugan, K. R. Saranya, S. Sasikala, G. Chinthana
Statistical and Machine Learning Approaches for Clinical Decision on Drug Usage in Diabetes with Reference to Competence and Safeness. Int. J. Comput. Intell. Syst. 14 (1) (2021)
S. Appavu alias Balamurugan, P. K. A. Chitra, S. Geetha
Multi label learning approaches for multi species avifaunal occurrence modelling: a case study of south eastern Tamil Nadu. Int. J. Bus. Intell. Data Min. 15 (4) (2019)
S. Appavu alias Balamurugan, S. Gilbert Nancy
An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26 (5) (2018)
N. Kalpana, S. Appavu alias Balamurugan
FIRA: focused information retrieval algorithm. Int. J. Bus. Intell. Data Min. 13 (1/2/3) (2018)
S. Sasikala, S. Appavu alias Balamurugan, S. Geetha
A novel adaptive feature selector for supervised classification. Inf. Process. Lett. 117 (2017)
S. Sasikala, S. Appavu alias Balamurugan, S. Geetha
A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine. Appl. Soft Comput. 49 (2016)
Danasingh Asir Antony Gnana Singh, S. Appavu alias Balamurugan, Epiphany Jebamalar Leavline
An unsupervised feature selection algorithm with feature ranking for maximizing performance of the classifiers. Int. J. Autom. Comput. 12 (5) (2015)
T. M. Usha, S. Appavu alias Balamurugan
Predictive Data Mining Techniques for Forecasting Tamil Nadu Electricity Board (TNEB) Load Demand: An Empirical Study. ICACNI (2013)
S. Sasikala, S. Appavu alias Balamurugan, S. Geetha
Performance Tuning of PCA by CFS-Shapley Ensemble and Its Application to Medical Diagnosis. PReMI (2013)
S. Sasikala, S. Appavu alias Balamurugan, S. Geetha
RF-SEA-Based Feature Selection for Data Classification in Medical Domain. ICACNI (2013)
A. B. Arockia Christopher, S. Appavu alias Balamurugan
Prediction of Warning Level in Aircraft Accidents using Classification Techniques: An Empirical Study. ICACNI (2013)
P. K. A. Chitra, S. Appavu alias Balamurugan
Performance Analysis of Transformation Methods in Multi-Label Classification. ICACNI (2013)
J. Alamelu Mangai, V. Santhosh Kumar, S. Appavu alias Balamurugan
A novel approach for effective web page classification. Int. J. Data Min. Model. Manag. 5 (3) (2013)
J. Alamelu Mangai, V. Santhosh Kumar, S. Appavu alias Balamurugan
A novel feature selection framework for automatic web page classification. Int. J. Autom. Comput. 9 (4) (2012)
S. Appavu alias Balamurugan, Ramasamy Rajaram, S. Pramala, S. Rajalakshmi, C. Jeyendran, J. Dinesh Surya Prakash
: An improved Naïve Bayesian algorithm. Knowl. Based Syst. 24 (5) (2011)
S. Appavu alias Balamurugan, S. Pramala, B. Rajalakshmi, Ramasamy Rajaram
Improving decision tree performance by exception handling. Int. J. Autom. Comput. 7 (3) (2010)
S. Appavu alias Balamurugan, Ramasamy Rajaram
Effective solution for unhandled exception in decision tree induction algorithms. Expert Syst. Appl. 36 (10) (2009)
S. Appavu alias Balamurugan, Ramasamy Rajaram
Effective and efficient feature selection for large-scale data using Bayes' theorem. Int. J. Autom. Comput. 6 (1) (2009)
S. Appavu alias Balamurugan, Ramasamy Rajaram
Learning to classify threatening e-mail. Int. J. Artif. Intell. Soft Comput. 1 (1) (2008)
S. Appavu alias Balamurugan, G. Athiappan, M. Muthu Pandian, Ramasamy Rajaram
Classification Methods in the Detection of New Suspicious Emails. J. Inf. Knowl. Manag. 7 (3) (2008)
S. Appavu alias Balamurugan, Ramasamy Rajaram
Suspicious E-mail Detection via Decision Tree: A Data Mining Approach. J. Comput. Inf. Technol. 15 (2) (2007)