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ORCIDVenkatanareshbabu Kuppili
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2020 – today
- 2025
[j37]Chinnamuthu Subramani
, Ravi Prasad K. Jagannath, Venkatanareshbabu Kuppili:
Enhancing deep stochastic configuration networks: Efficient training via low-rank matrix approximation. Inf. Sci. 690: 121519 (2025)- 2024
- [j36]Akshata K. Naik, Venkatanareshbabu Kuppili:
An embedded feature selection method based on generalized classifier neural network for cancer classification. Comput. Biol. Medicine 168: 107677 (2024) - 2023
- [c15]Rahul S. Sharma, Venkatanareshbabu Kuppili:
A Novel Approach for Texture Defect Detection using Statistical Features and a Bio-Inspired Algorithm. GECCO Companion 2023: 103-106 - [p1]Badri Narayan Subudhi, Thangaraj Veerakumar, Sai Rakshit Harathas, Rohan Prabhudesai, Venkatanareshbabu Kuppili, Vinit Jakhetiya:
Deep Learning in Autoencoder Framework and Shape Prior for Hand Gesture Recognition. Smart Computer Vision 2023: 223-242 - 2022
- [j35]Akshata K. Naik, Venkatanareshbabu Kuppili:
Dynamic relevance and interdependent feature selection for continuous data. Expert Syst. Appl. 191: 116302 (2022) - 2021
- [j34]Annushree Bablani, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Ramesh Dharavath:
Lie Detection Using Fuzzy Ensemble Approach With Novel Defuzzification Method for Classification of EEG Signals. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j33]Damodar Reddy Edla, Shubham Dodia, Annushree Bablani, Venkatanareshbabu Kuppili:
An Efficient Deep Learning Paradigm for Deceit Identification Test on EEG Signals. ACM Trans. Manag. Inf. Syst. 12(3): 25:1-25:20 (2021) - [j32]Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili, Damodar Reddy Edla:
Energy-Efficient Load Balancing Strategy for Wireless Sensor Networks using Quasi-oppositional based Jaya Optimization. Wirel. Pers. Commun. 118(4): 2319-2343 (2021) - [j31]Amrita Naik, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
Lung Nodule Classification on Computed Tomography Images Using Fractalnet. Wirel. Pers. Commun. 119(2): 1209-1229 (2021) - 2020
- [j30]Akshata K. Naik, Venkatanareshbabu Kuppili, Damodar Reddy Edla:
A new hybrid stability measure for feature selection. Appl. Intell. 50(10): 3471-3486 (2020) - [j29]Simi Venuji Renuka, Damodar Reddy Edla, Justin Joseph, Venkatanareshbabu Kuppili:
Parameter-free fuzzy histogram equalisation with illumination preserving characteristics dedicated for contrast enhancement of magnetic resonance images. Appl. Soft Comput. 93: 106364 (2020) - [j28]Venkatanareshbabu Kuppili, Diwakar Tripathi, Damodar Reddy Edla:
Credit score classification using spiking extreme learning machine. Comput. Intell. 36(2): 402-426 (2020) - [j27]Diwakar Tripathi, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Annushree Bablani:
Evolutionary Extreme Learning Machine with novel activation function for credit scoring. Eng. Appl. Artif. Intell. 96: 103980 (2020) - [j26]Diwakar Tripathi, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Ramesh Dharavath:
Binary BAT algorithm and RBFN based hybrid credit scoring model. Multim. Tools Appl. 79(43-44): 31889-31912 (2020) - [j25]Shraddha M. Naik, Ravi Prasad K. Jagannath, Venkatanareshbabu Kuppili:
Bat algorithm-based weighted Laplacian probabilistic neural network. Neural Comput. Appl. 32(4): 1157-1171 (2020) - [j24]Akshata K. Naik, Venkatanareshbabu Kuppili, Damodar Reddy Edla:
Efficient feature selection using one-pass generalized classifier neural network and binary bat algorithm with a novel fitness function. Soft Comput. 24(6): 4575-4587 (2020) - [j23]Venkatanareshbabu Kuppili, Mainak Biswas, Damodar Reddy Edla, K. J. Ravi Prasad, Jasjit S. Suri:
A Mechanics-Based Similarity Measure for Text Classification in Machine Learning Paradigm. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 180-200 (2020) - [j22]Kalidasan Kannadasan, Damodar Reddy Edla, Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili:
M-Curves path planning model for mobile anchor node and localization of sensor nodes using Dolphin Swarm Algorithm. Wirel. Networks 26(4): 2769-2783 (2020) - [j21]Damodar Reddy Edla, Diwakar Tripathi, Venkatanareshbabu Kuppili, Ramesh Dharavath:
Multilevel Automated Security System for Prevention of Accidents at Unmanned Railway Level Crossings. Wirel. Pers. Commun. 111(3): 1707-1721 (2020) - [j20]Aman Kurapa, Darshita Rathore, Damodar Reddy Edla, Annushree Bablani, Venkatanareshbabu Kuppili:
A Hybrid Approach for Extracting EMG signals by Filtering EEG Data for IoT Applications for Immobile Persons. Wirel. Pers. Commun. 114(4): 3081-3101 (2020) - [c14]Amrita Naik, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
A combination of FractalNet and CNN for Lung Nodule Classification. ICCCNT 2020: 1-7
2010 – 2019
- 2019
- [j19]Amruta Lipare, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
Energy efficient load balancing approach for avoiding energy hole problem in WSN using Grey Wolf Optimizer with novel fitness function. Appl. Soft Comput. 84 (2019) - [j18]Diwakar Tripathi, Damodar Reddy Edla, Ramalingaswamy Cheruku, Venkatanareshbabu Kuppili:
A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification. Comput. Intell. 35(2): 371-394 (2019) - [j17]Simi Venuji Renuka, Damodar Reddy Edla, Justin Joseph, Venkatanareshbabu Kuppili:
Analysis of controversies in the formulation and evaluation of restoration algorithms for MR Images. Expert Syst. Appl. 135: 39-59 (2019) - [j16]Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
An optimized and efficient radial basis neural network using cluster validity index for diabetes classification. Int. Arab J. Inf. Technol. 16(5): 816-826 (2019) - [j15]Venkatanareshbabu Kuppili, Mainak Biswas, Damodar Reddy Edla:
PLDL: a novel method for label distribution learning. Int. Arab J. Inf. Technol. 16(6): 1021-1027 (2019) - [j14]Mainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, Damodar Reddy Edla, Harman S. Suri, Aditya Sharma, Elisa Cuadrado Godia, John R. Laird, Andrew Nicolaides, Jasjit S. Suri:
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk. Medical Biol. Eng. Comput. 57(2): 543-564 (2019) - [j13]Kaveri Chatra, Venkatanareshbabu Kuppili, Damodar Reddy Edla, Ajeet Kumar Verma:
Cancer data classification using binary bat optimization and extreme learning machine with a novel fitness function. Medical Biol. Eng. Comput. 57(12): 2673-2682 (2019) - [j12]Annushree Bablani, Damodar Reddy Edla, Diwakar Tripathi, Venkatanareshbabu Kuppili:
An efficient Concealed Information Test: EEG feature extraction and ensemble classification for lie identification. Mach. Vis. Appl. 30(5): 813-832 (2019) - [j11]Venkatanareshbabu Kuppili, S. Nisheel, Rathinasamy Sakthivel, Muralitharan Krishnan:
Novel elegant fuzzy genetic algorithms in classification problems. Soft Comput. 23(14): 5583-5603 (2019) - [j10]Kaveri Chatra, Venkatanareshbabu Kuppili, Damodar Reddy Edla:
Texture Image Classification Using Deep Neural Network and Binary Dragon Fly Optimization with a Novel Fitness Function. Wirel. Pers. Commun. 108(3): 1513-1528 (2019) - [c13]Madhav Khatri, Venkatanareshbabu Kuppili, Damodar Reddy Edla:
Generalized Compensative Intuitionistic Fuzzy Information with Choquet Integrals. ICCCNT 2019: 1-7 - [c12]Simi Venuji Renuka, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
Dependency of Optimum Value of Regularization Parameter in Total Variation Filter on Noise Statistics - A MR Phantom Study. ICCCNT 2019: 1-4 - [c11]Ajeet Kumar Verma, Venkatanareshbabu Kuppili:
Data-oriented Neural Time Series with Long Short-Term Memories (LSTM) for Malaria Incidence Prediction in Goa, India. ICCCNT 2019: 1-6 - [c10]Simi Venuji Renuka, Damodar Reddy Edla, Justin Joseph, Venkatanareshbabu Kuppili:
Prospect of Stein's Unbiased Risk Estimate as Objective Function for Parameter Optimization in Image Denoising Algorithms - A Case Study on Gaussian Smoothing Kernel. ICDSE 2019: 149-153 - 2018
- [j9]Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Dharavath Ramesh:
RST-BatMiner: A fuzzy rule miner integrating rough set feature selection and Bat optimization for detection of diabetes disease. Appl. Soft Comput. 67: 764-780 (2018) - [j8]Mainak Biswas, Venkatanareshbabu Kuppili, Tadashi Araki, Damodar Reddy Edla, Elisa Cuadrado Godia, Luca Saba, Harman S. Suri, Tomaz Omerzu, John R. Laird, Narendra N. Khanna, Andrew Nicolaides, Jasjit S. Suri:
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort. Comput. Biol. Medicine 98: 100-117 (2018) - [j7]Mainak Biswas, Venkatanareshbabu Kuppili, Damodar Reddy Edla, Harman S. Suri, Luca Saba, Rui Tato Marinho, J. Miguel Sanches, Jasjit S. Suri:
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm. Comput. Methods Programs Biomed. 155: 165-177 (2018) - [j6]Venkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, Harman S. Suri, Luca Saba, Damodar Reddy Edla, Rui Tato Marinho, J. Miguel Sanches, Jasjit S. Suri:
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. J. Medical Syst. 42(1): 18:1 (2018) - [c9]Annushree Bablani, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
Deceit Identification Test on EEG Data Using Deep Belief Network. ICCCNT 2018: 1-6 - [c8]Shraddha M. Naik, Ravi Prasad K. Jagannath, Venkatanareshbabu Kuppili:
Optimized Laplacian Generalized Classifier Neural Network. ICCCNT 2018: 1-5 - [c7]Raj B. Prudhvi, Kumar V. Sai, Y. Abhishek, Kuppili Venkata Naresh Babu:
Feature Selection Using Binary PSOGSA and Radial Basis Network with a Novel Fitness Function. ICCCNT 2018: 1-6 - [c6]Venkatanareshbabu Kuppili, Damodar Reddy Edla, Annushree Bablani:
Novel fitness function for 3D image reconstruction using bat algorithm based autoencoder. Web3D 2018: 28:1-28:2 - 2017
- [j5]Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
SM-RuleMiner: Spider monkey based rule miner using novel fitness function for diabetes classification. Comput. Biol. Medicine 81: 79-92 (2017) - [j4]Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
Diabetes Classification using Radial Basis Function Network by Combining Cluster Validity Index and BAT Optimization with Novel Fitness Function. Int. J. Comput. Intell. Syst. 10(1): 247-265 (2017) - [j3]Rathinasamy Sakthivel, Srimanta Santra, B. Kaviarasan, Venkatanareshbabu Kuppili:
Dissipative analysis for network-based singular systems with non-fragile controller and event-triggered sampling scheme. J. Frankl. Inst. 354(12): 4739-4761 (2017) - [j2]Venkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, Harman S. Suri, Luca Saba, Damodar Reddy Edla, Rui Tato Marinho, João Miguel Sanches, Jasjit S. Suri:
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. J. Medical Syst. 41(10): 152:1-152:20 (2017) - [c5]Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Dharavath Ramesh:
PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data. ICANN (2) 2017: 411-419 - 2014
- [j1]B. Chandra, Kuppili Venkata Naresh Babu:
Classification of gene expression data using Spiking Wavelet Radial Basis Neural Network. Expert Syst. Appl. 41(4): 1326-1330 (2014) - 2013
- [c4]B. Chandra, Kuppili Venkata Naresh Babu:
A new spiking neuron model. IJCNN 2013: 1-5 - 2012
- [c3]B. Chandra, Kuppili Venkata Naresh Babu:
A Single Neuron Model for Pattern Classification. ICONIP (4) 2012: 619-625 - 2011
- [c2]B. Chandra, Kuppili Venkata Naresh Babu:
An improved architecture for Probabilistic Neural Networks. IJCNN 2011: 919-924 - [c1]B. Chandra, Venkatanareshbabu Kuppili:
Heterogeneous node split measure for decision tree construction. SMC 2011: 872-877
Coauthor Index
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