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Dr. Deepak Gupta
Dr. Deepak Gupta
Assistant Professor, NIT Arunachal Pradesh
Verified email at nitap.in - Homepage
Title
Cited by
Cited by
Year
A Survey on Medical Diagnosis of Diabetes Using Machine Learning Techniques
A Choudhury, D Gupta
Recent Developments in Machine Learning and Data Analytics, 67-78, 2019
742019
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks
BB Hazarika, D Gupta
Applied Soft Computing 96, 106626, 2020
732020
1-Norm extreme learning machine for regression and multiclass classification using Newton method
S Balasundaram, D Gupta
Neurocomputing 128, 4-14, 2014
622014
A fuzzy twin support vector machine based on information entropy for class imbalance learning
D Gupta, B Richhariya, P Borah
Neural Computing and Applications, 1-12, 2018
602018
On optimization based extreme learning machine in primal for regression and classification by functional iterative method
S Balasundaram, D Gupta
International Journal of Machine Learning and Cybernetics 7 (5), 707-728, 2016
442016
Training Lagrangian twin support vector regression via unconstrained convex minimization
S Balasundaram, D Gupta
Knowledge-Based Systems 59, 85-96, 2014
442014
Entropy based fuzzy least squares twin support vector machine for class imbalance learning
D Gupta, B Richhariya
Applied Intelligence 48 (11), 4212-4231, 2018
422018
Facial expression recognition using iterative universum twin support vector machine
B Richhariya, D Gupta
Applied Soft Computing 76, 53-67, 2019
372019
Financial time series forecasting using twin support vector regression
D Gupta, M Pratama, Z Ma, J Li, M Prasad
PloS one 14 (3), e0211402, 2019
352019
Lagrangian support vector regression via unconstrained convex minimization
S Balasundaram, D Gupta
Neural Networks 51, 67-79, 2014
342014
Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction
BB Hazarika, D Gupta, M Berlin
Environmental Earth Sciences 79 (10), 1-15, 2020
322020
Training primal K-nearest neighbor based weighted twin support vector regression via unconstrained convex minimization
D Gupta
Applied Intelligence 47 (3), 962-991, 2017
282017
Robust regularized extreme learning machine with asymmetric Huber loss function
D Gupta, BB Hazarika, M Berlin
Neural Computing and Applications 32 (16), 12971-12998, 2020
232020
A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization
S Balasundaram, D Gupta, SC Prasad
Applied Intelligence 46 (1), 124-134, 2017
222017
Recommending Top N Movies Using Content-Based Filtering and Collaborative Filtering with Hadoop and Hive Framework
R Bharti, D Gupta
Recent Developments in Machine Learning and Data Analytics, 109-118, 2019
172019
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function
U Gupta, D Gupta
Applied Intelligence 49 (10), 3606-3627, 2019
162019
Universum based Lagrangian twin bounded support vector machine to classify EEG signals
B Kumar, D Gupta
Computer Methods and Programs in Biomedicine 208, 106244, 2021
152021
Functional iterative approaches for solving support vector classification problems based on generalized Huber loss
P Borah, D Gupta
Neural computing and applications 32 (13), 9245-9265, 2020
152020
A Comparative Analysis of Artificial Neural Network and Support Vector Regression for River Suspended Sediment Load Prediction
BB Hazarika, D Gupta, M Berlin
First International Conference on Sustainable Technologies for Computational …, 2020
152020
A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM)
D Gupta, P Borah, M Prasad
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
152017
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