Deepak Gupta
Orcid: 0000-0002-6375-8615Affiliations:
- National Institute of Technology Arunachal Pradesh, Department of Computer Science and Engineering, Yupia, India
According to our database1,
Deepak Gupta
authored at least 58 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Deep feature extraction from EEG signals using xception model for emotion classification.
Multim. Tools Appl., March, 2024
Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM).
Multim. Tools Appl., 2024
Int. J. Bus. Intell. Data Min., 2024
2023
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning.
Knowl. Inf. Syst., December, 2023
Mode decomposition based large margin distribution machines for sediment load prediction.
Expert Syst. Appl., December, 2023
1-Norm twin random vector functional link networks based on Universum data for leaf disease detection.
Appl. Soft Comput., November, 2023
Comput. Appl. Math., September, 2023
Leaf disease detection using machine learning and deep learning: Review and challenges.
Appl. Soft Comput., September, 2023
Appl. Intell., June, 2023
Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study.
Neural Comput. Appl., April, 2023
Multim. Tools Appl., April, 2023
Neural Process. Lett., 2023
2022
Neural Process. Lett., 2022
Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis.
Neural Comput. Appl., 2022
Fuzzy Sets Syst., 2022
Affinity and transformed class probability-based fuzzy least squares support vector machines.
Fuzzy Sets Syst., 2022
Random vector functional link with ε-insensitive Huber loss function for biomedical data classification.
Comput. Methods Programs Biomed., 2022
2021
Neural Process. Lett., 2021
Neural Comput. Appl., 2021
Computational approach to clinical diagnosis of diabetes disease: a comparative study.
Multim. Tools Appl., 2021
Multim. Tools Appl., 2021
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification.
Int. J. Mach. Learn. Cybern., 2021
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021
Universum based Lagrangian twin bounded support vector machine to classify EEG signals.
Comput. Methods Programs Biomed., 2021
An intuitionistic fuzzy kernel ridge regression classifier for binary classification.
Appl. Soft Comput., 2021
On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function.
Appl. Soft Comput., 2021
Appl. Intell., 2021
Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems.
Ann. Math. Artif. Intell., 2021
Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Functional iterative approaches for solving support vector classification problems based on generalized Huber loss.
Neural Comput. Appl., 2020
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks.
Appl. Soft Comput., 2020
Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC).
Appl. Intell., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
A fuzzy twin support vector machine based on information entropy for class imbalance learning.
Neural Comput. Appl., 2019
Appl. Soft Comput., 2019
Unconstrained convex minimization based implicit Lagrangian twin random vector Functional-link networks for binary classification (ULTRVFLC).
Appl. Soft Comput., 2019
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function.
Appl. Intell., 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
2018
Entropy based fuzzy least squares twin support vector machine for class imbalance learning.
Appl. Intell., 2018
Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Online video streaming for human tracking based on weighted resampling particle filter.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
2017
Training primal K-nearest neighbor based weighted twin support vector regression via unconstrained convex minimization.
Appl. Intell., 2017
A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization.
Appl. Intell., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
On optimization based extreme learning machine in primal for regression and classification by functional iterative method.
Int. J. Mach. Learn. Cybern., 2016
2014
Neural Networks, 2014
Training Lagrangian twin support vector regression via unconstrained convex minimization.
Knowl. Based Syst., 2014
1-Norm extreme learning machine for regression and multiclass classification using Newton method.
Neurocomputing, 2014
Int. J. Comput. Intell. Syst., 2014
2013
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013