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S. Appavu alias Balamurugan
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2020 – today
- 2024
- [j32]P. K. A. Chitra, S. Appavu alias Balamurugan, S. Geetha, Seifedine Kadry, Jungeun Kim, Keejun Han:
A Novel Framework for Learning and Classifying the Imbalanced Multi-Label Data. Comput. Syst. Sci. Eng. 48(5): 1367-1385 (2024) - [j31]P. Prabharani, S. Appavu alias Balamurugan, S. Sasikala:
AoDrA-Net: an approach to recommend crop for sustainable agriculture. Int. J. Bio Inspired Comput. 24(2): 109-121 (2024) - [j30]A. S. Karthik Kannan, S. Appavu alias Balamurugan, Millie Pant:
A condensed hybrid feature selector for enhancing classifier performance using TOPSIS and improved Rao optimisation. Int. J. Bus. Intell. Data Min. 25(2): 210-238 (2024) - 2022
- [j29]R. T. Subhalakshmi
, S. Appavu alias Balamurugan
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images. Concurr. Eng. Res. Appl. 30(1): 116-127 (2022) - [c8]K. Gopinath, S. Appavu alias Balamurugan:
Human Resource Analytics: Leveraging Machine Learning for Employee Attrition Prediction. TDIT (1) 2022: 137-158 - 2021
- [j28]A. S. Karthik Kannan
A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making. IEEE Access 9: 56228-56239 (2021) - [j27]S. Appavu alias Balamurugan
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): 859-868 (2021) - [j26]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): 1796-1808 (2021) - [j25]S. Appavu alias Balamurugan
A predictive risk level classification of diabetic patients using deep learning modified neural network. J. Ambient Intell. Humaniz. Comput. 12(7): 7703-7713 (2021) - [j24]J. Senthil Kumar
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): 2519-2528 (2021) - [j23]R. T. Subhalakshmi
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): 2618-2625 (2021) - [j22]J. Senthil Kumar
Analysis of Deep Learning Techniques for Tuberculosis Disease. SN Comput. Sci. 2(4): 302 (2021) - [j21]A. S. Karthik Kannan
A Novel Software Package Selection Method Using Teaching-Learning Based Optimization and Multiple Criteria Decision Making. IEEE Trans. Engineering Management 68(4): 941-954 (2021) - 2020
- [j20]S. Appavu alias Balamurugan
IDsMA: An integrated digital signature and mutual authentication mechanism for securing the cognitive radio networks. Int. J. Commun. Syst. 33(6) (2020)
2010 – 2019
- 2019
- [j19]S. Appavu alias Balamurugan
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): 449-477 (2019) - 2018
- [j18]N. Kalpana, S. Appavu alias Balamurugan:
FIRA: focused information retrieval algorithm. Int. J. Bus. Intell. Data Min. 13(1/2/3): 75-94 (2018) - [j17]S. Appavu alias Balamurugan
An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(5): 695-715 (2018) - 2017
- [j16]S. Sasikala, S. Appavu alias Balamurugan
A novel adaptive feature selector for supervised classification. Inf. Process. Lett. 117: 25-34 (2017) - 2016
- [j15]S. Sasikala, S. Appavu alias Balamurugan
A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine. Appl. Soft Comput. 49: 407-422 (2016) - [j14]S. Gilbert Nancy, S. Appavu:
Optimal feature selection for classification using rough set-based CGA-NN classifier. Int. J. Bus. Intell. Data Min. 11(4): 357-378 (2016) - 2015
- [j13]Danasingh Asir Antony Gnana Singh
An unsupervised feature selection algorithm with feature ranking for maximizing performance of the classifiers. Int. J. Autom. Comput. 12(5): 511-517 (2015) - 2013
- [j12]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): 233-245 (2013) - [c7]S. Sasikala, S. Appavu alias Balamurugan
RF-SEA-Based Feature Selection for Data Classification in Medical Domain. ICACNI 2013: 599-608 - [c6]A. B. Arockia Christopher
Prediction of Warning Level in Aircraft Accidents using Classification Techniques: An Empirical Study. ICACNI 2013: 1217-1223 - [c5]P. K. A. Chitra, S. Appavu alias Balamurugan:
Performance Analysis of Transformation Methods in Multi-Label Classification. ICACNI 2013: 1233-1239 - [c4]T. M. Usha
Predictive Data Mining Techniques for Forecasting Tamil Nadu Electricity Board (TNEB) Load Demand: An Empirical Study. ICACNI 2013: 1241-1247 - [c3]S. Sasikala, S. Appavu alias Balamurugan
Performance Tuning of PCA by CFS-Shapley Ensemble and Its Application to Medical Diagnosis. PReMI 2013: 53-59 - 2012
- [j11]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): 442-448 (2012) - 2011
- [j10]S. Appavu alias Balamurugan
NB+: An improved Naïve Bayesian algorithm. Knowl. Based Syst. 24(5): 563-569 (2011) - 2010
- [j9]S. Appavu alias Balamurugan
Improving decision tree performance by exception handling. Int. J. Autom. Comput. 7(3): 372-380 (2010)
2000 – 2009
- 2009
- [j8]S. Appavu alias Balamurugan
Effective solution for unhandled exception in decision tree induction algorithms. Expert Syst. Appl. 36(10): 12113-12119 (2009) - [j7]S. Appavu alias Balamurugan
Effective and efficient feature selection for large-scale data using Bayes' theorem. Int. J. Autom. Comput. 6(1): 62 (2009) - [j6]Subramanian Appavu
Knowledge-based system for text classification using ID6NB algorithm. Knowl. Based Syst. 22(1): 1-7 (2009) - [j5]Subramanian Appavu
Data mining based intelligent analysis of threatening e-mail. Knowl. Based Syst. 22(5): 392-393 (2009) - 2008
- [j4]S. Appavu alias Balamurugan, Ramasamy Rajaram:
Learning to classify threatening e-mail. Int. J. Artif. Intell. Soft Comput. 1(1): 39-51 (2008) - [j3]S. Appavu alias Balamurugan
Classification Methods in the Detection of New Suspicious Emails. J. Inf. Knowl. Manag. 7(3): 209-217 (2008) - [c2]Subramanian Appavu
Learning to Classify Threaten E-mail. Asia International Conference on Modelling and Simulation 2008: 522-527 - 2007
- [j2]S. Appavu alias Balamurugan, Ramasamy Rajaram:
Suspicious E-mail Detection via Decision Tree: A Data Mining Approach. J. Comput. Inf. Technol. 15(2): 161-169 (2007) - [j1]Subramanian Appavu
Detection of e-mail concerning criminal activities using association rule-based decision tree. Int. J. Electron. Secur. Digit. Forensics 1(2): 131-145 (2007) - [c1]Subramanian Appavu
Association Rule Mining for Suspicious Email Detection: A Data Mining Approach. ISI 2007: 316-323
Coauthor Index
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last updated on 2024-10-15 00:23 CEST by the dblp team
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