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Dr. Sai Prasad Potharaju
Dr. Sai Prasad Potharaju
Associate Professor, Department of CSE,School of Computing, MIT ADT University, Pune, India
Verified email at mituniversity.edu.in
Title
Cited by
Cited by
Year
Distributed feature selection (DFS) strategy for microarray gene expression data to improve the classification performance
SP Potharaju, M Sreedevi
Clinical Epidemiology and Global Health 7 (2), 171-176, 2019
512019
Ensembled Rule Based Classification Algorithms for predicting Imbalanced Kidney Disease Data
SP Potharaju, S M
JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY REVIEW 9 (5), 201-207, 2017
322017
Data mining approach for accelerating the classification accuracy of cardiotocography
SP Potharaju, M Sreedevi, VK Ande, RK Tirandasu
Clinical Epidemiology and Global Health 7 (2), 160-164, 2019
302019
An ensemble feature selection framework of sonar targets using symmetrical uncertainty and multi-layer perceptron (su-mlp)
SP Potharaju, M Sreedevi, SS Amiripalli
Cognitive Informatics and Soft Computing: Proceeding of CISC 2017, 247-256, 2019
272019
A novel cluster of quarter feature selection based on symmetrical uncertainty
SP Potharaju, M Sreedevı
Gazi University Journal of Science 31 (2), 456-470, 2018
252018
An Improved Prediction of Kidney Disease using SMOTE
SP Potharaju, S M
Indian Journal of Science and Technology 9 (31), 2016
232016
A Novel Clustering Based Candidate Feature Selection Framework Using Correlation Coefficient for Improving Classification Performance.
SP Potharaju, M Sreedevi
Journal of Engineering Science & Technology Review 10 (6), 2017
192017
A Novel M-Cluster of Feature Selection Approach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
P Sai Prasad, M Sreedevi
Journal of Engineering Science and Technology Review 10 (6), 154-162, 2017
152017
Price prediction for pre-owned cars using ensemble machine learning techniques
M Rajesh
Recent Trends Intensive Comput 39, 178, 2021
142021
A novel trimet graph optimization (TGO) topology for wireless networks
SS Amiripalli, V Bobba, SP Potharaju
Cognitive Informatics and Soft Computing: Proceeding of CISC 2017, 75-82, 2019
122019
A Novel Subset Feature Selection Framework for Increasing the Classification Performance of SONAR Targets
SP Potharaju, M Sreedevi
Procedia Computer Science 125, 902-909, 2018
122018
Correlation coefficient based candidate feature selection framework using graph construction
SP Potharaju, M Sreedevı
Gazi University Journal of Science 31 (3), 775-787, 2018
92018
An unsupervised approach for selection of candidate feature set using filter based techniques
SP Potharaju
Gazi University Journal of Science 31 (3), 789-799, 2018
92018
A novel LtR and RtL framework for subset feature selection (reduction) for improving the classification accuracy
SP Potharaju, M Sreedevi
Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2019
52019
A Novel Cluster of Feature Selection Method Based on Information Gain
SP Potharaju, S M
International Journal of Control Theory and Applications 10 (14), 9-16, 2017
42017
An Image Encryption Technique Based on Logistic Sine Map and an Encrypted Image Retrieval Using DCT Frequency
M Rajesh
Recent Trends in Intensive Computing 39, 1, 2021
12021
Design and implementation of feature selection approaches using filter based ranking methods
SP Potharaju
Vaddeswaram, 2021
12021
A Real Time Intelligent Image Based Document Classification Using CNN and SVM
SP Potharaju, SN Tambe, SB Tambe
2023
SU-CCE: A Novel Feature Selection Approach for Reducing High Dimensionality
M Rajesh
Recent Trends in Intensive Computing 39, 195, 2021
2021
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