Stebėti
Annushree Bablani
Annushree Bablani
Assistant Professor
Patvirtintas el. paštas iiits.in
Pavadinimas
Cituota
Cituota
Metai
Machine learning algorithms for social media analysis: A survey
TK Balaji, CSR Annavarapu, A Bablani
Computer Science Review 40, 100395, 2021
2602021
Classification of EEG data using k-nearest neighbor approach for concealed information test
A Bablani, DR Edla, S Dodia
Procedia computer science 143, 242-249, 2018
1072018
Survey on brain-computer interface: An emerging computational intelligence paradigm
A Bablani, DR Edla, D Tripathi, R Cheruku
ACM computing surveys (CSUR) 52 (1), 1-32, 2019
852019
Brain computer interface: A comprehensive survey
N Tiwari, DR Edla, S Dodia, A Bablani
Biologically inspired cognitive architectures 26, 118-129, 2018
732018
Evolutionary extreme learning machine with novel activation function for credit scoring
D Tripathi, DR Edla, V Kuppili, A Bablani
Engineering Applications of Artificial Intelligence 96, 103980, 2020
662020
Credit scoring model based on weighted voting and cluster based feature selection
D Tripathi, DR Edla, V Kuppili, A Bablani, R Dharavath
Procedia computer science 132, 22-31, 2018
592018
An efficient EEG based deceit identification test using wavelet packet transform and linear discriminant analysis
S Dodia, DR Edla, A Bablani, D Ramesh, V Kuppili
Journal of neuroscience methods 314, 31-40, 2019
472019
EEG data classification for mental state analysis using wavelet packet transform and Gaussian process classifier
R Desai, P Porob, P Rebelo, DR Edla, A Bablani
Wireless Personal Communications 115 (3), 2149-2169, 2020
342020
An efficient concealed information test: EEG feature extraction and ensemble classification for lie identification
A Bablani, DR Edla, D Tripathi, V Kuppili
Machine Vision and Applications 30, 813-832, 2019
342019
Experimental analysis of machine learning methods for credit score classification
D Tripathi, DR Edla, A Bablani, AK Shukla, BR Reddy
Progress in Artificial Intelligence 10 (3), 217-243, 2021
322021
Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness function
S Dodia, DR Edla, A Bablani, R Cheruku
Computational Intelligence 36 (2), 637-658, 2020
272020
Intelligent-ANFIS model for predicting measurement of surface roughness and geometric tolerances in three-axis CNC milling
K Kannadasan, DR Edla, MH Yadav, A Bablani
IEEE Transactions on Instrumentation and Measurement 69 (10), 7683-7694, 2020
232020
Lie detection using fuzzy ensemble approach with novel defuzzification method for classification of EEG signals
A Bablani, DR Edla, V Kupilli, R Dharavath
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
212021
A synergistic concealed information test with novel approach for EEG channel selection and SVM parameter optimization
A Bablani, DR Edla, D Tripathi, S Dodia, S Chintala
IEEE Transactions on Information Forensics and Security 14 (11), 3057-3068, 2019
212019
A multi stage EEG data classification using k-means and feed forward neural network
A Bablani, DR Edla, V Kuppili, D Ramesh
Clinical Epidemiology and Global Health 8 (3), 718-724, 2020
202020
An efficient deep learning paradigm for deceit identification test on EEG signals
DR Edla, S Dodia, A Bablani, V Kuppili
ACM Transactions on Management Information Systems (TMIS) 12 (3), 1-20, 2021
182021
Relative performance evaluation of ensemble classification with feature reduction in credit scoring datasets
D Tripathi, R Cheruku, A Bablani
Advances in Machine Learning and Data Science: Recent Achievements and …, 2018
172018
Deceit identification test on EEG data using deep belief network
A Bablani, DR Edla, V Kuppili
2018 9th International Conference on Computing, Communication and Networking …, 2018
162018
A hybrid approach for extracting EMG signals by filtering EEG data for IoT applications for immobile persons
A Kurapa, D Rathore, DR Edla, A Bablani, V Kuppili
Wireless Personal Communications 114, 3081-3101, 2020
132020
Subject based deceit identification using empirical mode decomposition
A Bablani, DR Edla, D Tripathi, K Venkatanareshbabu
Procedia computer science 132, 32-39, 2018
122018
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Straipsniai 1–20