Deepak Gupta

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 56

Top Topics

Biomedical Data

Convex Minimization

Ridge Regression

Top Venues

Appl. Soft Comput.

Neural Comput. Appl.

Multim. Tools Appl.

Publications

Neha Joshi, Deepak Gupta
Application Layer Load Balancing in Software Defined Networking Using Priority Based Round Robin Scheduling Algorithm. Wirel. Pers. Commun. 136 (2) (2024)
Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika
An efficient angle-based twin random vector functional link classifier. Appl. Soft Comput. 164 (2024)
Barenya Bikash Hazarika, Deepak Gupta, Bikram Kumar
EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine. Cogn. Comput. 16 (4) (2024)
Deepak Gupta, Barenya Bikash Hazarika, Parashjyoti Borah
Fuzzy twin kernel ridge regression classifiers for liver disorder detection. Int. J. Bus. Intell. Data Min. 24 (2) (2024)
Deepak Gupta, Umesh Gupta, Hemanga Jyoti Sarma
Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM). Multim. Tools Appl. 83 (8) (2024)
Arpan Phukan, Deepak Gupta
Deep feature extraction from EEG signals using xception model for emotion classification. Multim. Tools Appl. 83 (11) (2024)
Rana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta, Salim Heddam, Özgür Kisi
Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study. Neural Comput. Appl. 35 (12) (2023)
Barenya Bikash Hazarika, Deepak Gupta
Improved twin bounded large margin distribution machines for binary classification. Multim. Tools Appl. 82 (9) (2023)
Chittabarni Sarkar, Deepak Gupta, Umesh Gupta, Barenya Bikash Hazarika
Leaf disease detection using machine learning and deep learning: Review and challenges. Appl. Soft Comput. 145 (2023)
Barenya Bikash Hazarika, Deepak Gupta
Mode decomposition based large margin distribution machines for sediment load prediction. Expert Syst. Appl. 232 (2023)
Chittabarni Sarkar, Deepak Gupta, Barenya Bikash Hazarika
1-Norm twin random vector functional link networks based on Universum data for leaf disease detection. Appl. Soft Comput. 148 (2023)
Umesh Gupta, Deepak Gupta
Least squares structural twin bounded support vector machine on class scatter. Appl. Intell. 53 (12) (2023)
Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika
An Intuitionistic Fuzzy Random Vector Functional Link Classifier. Neural Process. Lett. 55 (4) (2023)
Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning. Knowl. Inf. Syst. 65 (12) (2023)
Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
Robust support vector quantile regression with truncated pinball loss (RSVQR). Comput. Appl. Math. 42 (6) (2023)
Deepak Gupta, Parashjyoti Borah, Usha Mary Sharma, Mukesh Prasad
Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis. Neural Comput. Appl. 34 (14) (2022)
Umesh Gupta, Deepak Gupta
Bipolar fuzzy based least squares twin bounded support vector machine. Fuzzy Sets Syst. 449 (2022)
Barenya Bikash Hazarika, Deepak Gupta
Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. Comput. Methods Programs Biomed. 215 (2022)
Parashjyoti Borah, Deepak Gupta
Affinity and transformed class probability-based fuzzy least squares support vector machines. Fuzzy Sets Syst. 443 (Part) (2022)
Barenya Bikash Hazarika, Deepak Gupta
Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning. Neural Process. Lett. 54 (2) (2022)
Barenya Bikash Hazarika, Deepak Gupta
Density-weighted support vector machines for binary class imbalance learning. Neural Comput. Appl. 33 (9) (2021)
Umesh Gupta, Deepak Gupta
Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29 (5) (2021)
Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
An intuitionistic fuzzy kernel ridge regression classifier for binary classification. Appl. Soft Comput. 112 (2021)
Shreya Pare, Mukesh Prasad, Deepak Puthal, Deepak Gupta, Anand Malik, Amit Saxena
Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm. FUZZ-IEEE (2021)
Umesh Gupta, Deepak Gupta
On Regularization Based Twin Support Vector Regression with Huber Loss. Neural Process. Lett. 53 (1) (2021)
Debjyoti Das Adhikary, Deepak Gupta
Applying over 100 classifiers for churn prediction in telecom companies. Multim. Tools Appl. 80 (28-29) (2021)
Deepak Gupta, Bharat Richhariya
Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems. Ann. Math. Artif. Intell. 89 (3-4) (2021)
Parashjyoti Borah, Deepak Gupta
Robust twin bounded support vector machines for outliers and imbalanced data. Appl. Intell. 51 (8) (2021)
Deepak Gupta, Ambika Choudhury, Umesh Gupta, Priyanka Singh, Mukesh Prasad
Computational approach to clinical diagnosis of diabetes disease: a comparative study. Multim. Tools Appl. 80 (20) (2021)
Umesh Gupta, Deepak Gupta
Least squares large margin distribution machine for regression. Appl. Intell. 51 (10) (2021)
Deepak Gupta, Umesh Gupta
On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function. Appl. Soft Comput. 102 (2021)
Bikram Kumar, Deepak Gupta
Universum based Lagrangian twin bounded support vector machine to classify EEG signals. Comput. Methods Programs Biomed. 208 (2021)
Umesh Gupta, Deepak Gupta
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification. Int. J. Mach. Learn. Cybern. 12 (5) (2021)
Parashjyoti Borah, Deepak Gupta
Functional iterative approaches for solving support vector classification problems based on generalized Huber loss. Neural Comput. Appl. 32 (13) (2020)
Barenya Bikash Hazarika, Deepak Gupta
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. Appl. Soft Comput. 96 (2020)
Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad
A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms 13 (9) (2020)
Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin
Robust regularized extreme learning machine with asymmetric Huber loss function. Neural Comput. Appl. 32 (16) (2020)
Parashjyoti Borah, Deepak Gupta
Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC). Appl. Intell. 50 (4) (2020)
Deepak Gupta, Kamalini Acharjee, Bharat Richhariya
Lagrangian twin parametric insensitive support vector regression (LTPISVR). Neural Comput. Appl. 32 (10) (2020)
Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. IJCNN (2020)
Deepak Gupta, Hemanga Jyoti Sarma, Kshitij Mishra, Mukesh Prasad
Regularized Universum twin support vector machine for classification of EEG Signal. SMC (2019)
Deepak Gupta, Bharat Richhariya, Parashjyoti Borah
A fuzzy twin support vector machine based on information entropy for class imbalance learning. Neural Comput. Appl. 31 (11) (2019)
Umesh Gupta, Deepak Gupta
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function. Appl. Intell. 49 (10) (2019)
Parashjyoti Borah, Deepak Gupta
Unconstrained convex minimization based implicit Lagrangian twin random vector Functional-link networks for binary classification (ULTRVFLC). Appl. Soft Comput. 81 (2019)
Bharat Richhariya, Deepak Gupta
Facial expression recognition using iterative universum twin support vector machine. Appl. Soft Comput. 76 (2019)
Mukesh Prasad, Liang-Cheng Chang, Deepak Gupta, Mahardhika Pratama, Suresh Sundaram, Chin-Teng Lin
Online video streaming for human tracking based on weighted resampling particle filter. INNS Conference on Big Data (2018)
Mukesh Prasad, Shantanu Rajora, Deepak Gupta, Yousef-Awwad Daraghmi, Eman Daraghmi, Pranay Yadav, Prayag Tiwari, Amit Saxena
Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System. SSCI (2018)
Parashjyoti Borah, Deepak Gupta, Mukesh Prasad
Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine. SSCI (2018)
Umesh Gupta, Deepak Gupta, Mukesh Prasad
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine. SSCI (2018)
Deepak Gupta, Bharat Richhariya
Entropy based fuzzy least squares twin support vector machine for class imbalance learning. Appl. Intell. 48 (11) (2018)
Deepak Gupta
Training primal K-nearest neighbor based weighted twin support vector regression via unconstrained convex minimization. Appl. Intell. 47 (3) (2017)
S. Balasundaram, Deepak Gupta, Subhash Chandra Prasad
A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. Appl. Intell. 46 (1) (2017)
Deepak Gupta, Parashjyoti Borah, Mukesh Prasad
A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM). SSCI (2017)
Kuang-Pen Chou, Mukesh Prasad, Deepak Gupta, Sharmi Sankar, Ting-Wei Xu, Suresh Sundaram, Chin-Teng Lin, Wen-Chieh Lin
Block-based feature extraction model for early fire detection. SSCI (2017)
S. Balasundaram, Deepak Gupta
On optimization based extreme learning machine in primal for regression and classification by functional iterative method. Int. J. Mach. Learn. Cybern. 7 (5) (2016)
S. Balasundaram, Deepak Gupta
Knowledge-based extreme learning machines. Neural Comput. Appl. 27 (6) (2016)
S. Balasundaram, Deepak Gupta, Kapil
1-Norm extreme learning machine for regression and multiclass classification using Newton method. Neurocomputing 128 (2014)
S. Balasundaram, Deepak Gupta
Training Lagrangian twin support vector regression via unconstrained convex minimization. Knowl. Based Syst. 59 (2014)
S. Balasundaram, Deepak Gupta
On implicit Lagrangian twin support vector regression by Newton method. Int. J. Comput. Intell. Syst. 7 (1) (2014)
S. Balasundaram, Deepak Gupta, Kapil
Lagrangian support vector regression via unconstrained convex minimization. Neural Networks 51 (2014)
Deepak Gupta, Kewal Krishan Nailwal, Sameer Sharma
A Heuristic for Permutation Flowshop Scheduling to Minimize Makespan. SocProS (2) (2013)