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Dr.P.Shunmugapriya
Dr.P.Shunmugapriya
Guest Faculty(Temporary Basis), Pondicherry University, Pondicherry.
Verifierad e-postadress på pec.edu
Titel
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A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid)
PSS Kanmani
Swarm and Evolutionary Computation, 2017
2502017
Optimization of stacking ensemble configurations through artificial bee colony algorithm
P Shunmugapriya, S Kanmani
Swarm and Evolutionary Computation 12, 24-32, 2013
762013
Artificial bee colony approach for optimizing feature selection
S Palanisamy, S Kanmani
International Journal of Computer Science Issues (IJCSI) 9 (3), 432, 2012
622012
Classifier ensemble design using artificial bee colony based feature selection
S Palanisamy, S Kanmani
International Journal of Computer Science Issues (IJCSI) 9 (3), 522, 2012
152012
A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid). Swarm Evol Comput 36: 27–36
P Shunmugapriya, S Kanmani
142017
Feature selection optimization through enhanced artificial bee colony algorithm
P Shunmugapriya, S Kanmani, R Supraja, K Saranya
2013 International Conference on Recent Trends in Information Technology …, 2013
112013
Investigation on the effects of ACO parameters for feature selection and classification
P Shunmugapriya, S Kanmani, S Devipriya, J Archana, J Pushpa
Third International conference on advances in communication, network and …, 2012
92012
Artificial bee colony approach for optimizing feature selection
S Shunmugapriya, A Palanisamy
International Journal of Computer Science Issues 9 (3), 432-438, 2012
92012
Effects of Introducing Similarity Measures into Artificial Bee Colony Approach for Optimization of Vehicle Routing Problem
K Shunmugapriya, P. , Kanmani, S. , Fredieric, P. , Vignesh, U. , Justin, J ...
World Academy of Science, Engineering and Technology, International Science …, 2016
2*2016
A hybrid algorithm using ant and bee colony optimization for feature selection and classification (ac-abc hybrid). Swarm Evolution. Comput. 36, 27–36 (2017)
P Shunmugapriya, S Kanmani
2
Classifier ensembles using boosting with mixed learner models (BMLM)
P Shunmugapriya, S Kanmani, BS Prasath, B Vikas, NSP Naidu, ...
2011 International Conference on Recent Trends in Information Technology …, 2011
12011
Stacking of Hyperparameter Tuned Models for Tagging Coding Problems
SK TS, SL Pandian, P Shunmugapriya
arXiv preprint arXiv:2306.10077, 2023
2023
Stacking of Hyperparameter Tuned Models for Tagging Coding Problems
S Krishnan TS, S Lakshmana Pandian, P Shunmugapriya
arXiv e-prints, arXiv: 2306.10077, 2023
2023
Generic Approach to Visualization of Time Series Data
SK Suresh
arXiv preprint arXiv:2207.13664, 2022
2022
Machine Learning Optimization Algorithms 1: Gradient Descent
SP Sathya Krishnan Suresh
https://medium.com/mlearning-ai/machine-learning-optimization-algorithms-1 …, 2022
2022
Classification algorithms 1: Logistic Regression Part-1
SKTS Shunmugapriya P
https://medium.com/mlearning-ai/classification-algorithms-1-logistic …, 2022
2022
Understanding Adaline
SKTS Shunmugapriya P
https://medium.com/mlearning-ai/understanding-adaline-da79ab8bbc5a, 2022
2022
Understanding Perceptron
SP Sathya Krishnan Suresh
https://medium.com/mlearning-ai/understanding-perceptron-8e82a5a97ea, 2022
2022
Enhanced ABC Algorithm for Optimization of Multiple Traveling Salesman Problem
P Shunmugapriya, S Kanmani, R Hemalatha, D Lahari, E Mahalakshmi
International Journal of Control Theory and Applications 9 (3), 1647-1656, 2016
2016
Optimization of Multi Depot Vehicle Routing Problem through ABC and Enhanced ABC Algortihm
JRJKV P.Shunmugapriya, S.Kanmani, P.Jude Frederic, U.Vignesh
International Journal of Applied Engineering Research 11 (4), 749 - 759, 2016
2016
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Artiklar 1–20