A Heuristic for Permutation Flowshop Scheduling to Minimize Makespan. - Deepak Gupta 004; Kewal Krishan Nailwal; Sameer Sharma (SocProS (2), 2013)

On implicit Lagrangian twin support vector regression by Newton method. - S. Balasundaram; Deepak Gupta 004 (Int. J. Comput. Intell. Syst., 2014)

1-Norm extreme learning machine for regression and multiclass classification using Newton method. - S. Balasundaram; Deepak Gupta 004; Kapil 001 (Neurocomputing, 2014)

Training Lagrangian twin support vector regression via unconstrained convex minimization. - S. Balasundaram; Deepak Gupta 004 (Knowl. Based Syst., 2014)

Lagrangian support vector regression via unconstrained convex minimization. - S. Balasundaram; Deepak Gupta 004; Kapil 001 (Neural Networks, 2014)

On optimization based extreme learning machine in primal for regression and classification by functional iterative method. - S. Balasundaram; Deepak Gupta 004 (Int. J. Mach. Learn. Cybern., 2016)

Knowledge-based extreme learning machines. - S. Balasundaram; Deepak Gupta 004 (Neural Comput. Appl., 2016)

Block-based feature extraction model for early fire detection. - Kuang-Pen Chou; Mukesh Prasad; Deepak Gupta 004; Sharmi Sankar; Ting-Wei Xu; Suresh Sundaram 002; Chin-Teng Lin; Wen-Chieh Lin (SSCI, 2017)

A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM). - Deepak Gupta 004; Parashjyoti Borah; Mukesh Prasad (SSCI, 2017)

A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. - S. Balasundaram; Deepak Gupta 004; Subhash Chandra Prasad (Appl. Intell., 2017)

Training primal K-nearest neighbor based weighted twin support vector regression via unconstrained convex minimization. - Deepak Gupta 004 (Appl. Intell., 2017)

Online video streaming for human tracking based on weighted resampling particle filter. - Mukesh Prasad; Liang-Cheng Chang; Deepak Gupta 004; Mahardhika Pratama; Suresh Sundaram 002; Chin-Teng Lin (INNS Conference on Big Data, 2018)

Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine. - Parashjyoti Borah; Deepak Gupta 004; Mukesh Prasad (SSCI, 2018)

Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine. - Umesh Gupta; Deepak Gupta 004; Mukesh Prasad (SSCI, 2018)

Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System. - Mukesh Prasad; Shantanu Rajora; Deepak Gupta 004; Yousef-Awwad Daraghmi; Eman Yasser Daraghmi; Pranay Yadav; Prayag Tiwari; Amit Saxena 001 (SSCI, 2018)

Entropy based fuzzy least squares twin support vector machine for class imbalance learning. - Deepak Gupta 004; Bharat Richhariya (Appl. Intell., 2018)

Regularized Universum twin support vector machine for classification of EEG Signal. - Deepak Gupta 004; Hemanga Jyoti Sarma; Kshitij Mishra; Mukesh Prasad (SMC, 2019)

An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function. - Umesh Gupta; Deepak Gupta 004 (Appl. Intell., 2019)

Unconstrained convex minimization based implicit Lagrangian twin random vector Functional-link networks for binary classification (ULTRVFLC). - Parashjyoti Borah; Deepak Gupta 004 (Appl. Soft Comput., 2019)

Facial expression recognition using iterative universum twin support vector machine. - Bharat Richhariya; Deepak Gupta 004 (Appl. Soft Comput., 2019)

A fuzzy twin support vector machine based on information entropy for class imbalance learning. - Deepak Gupta 004; Bharat Richhariya; Parashjyoti Borah (Neural Comput. Appl., 2019)

End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. - Ahlam Alnefaie; Deepak Gupta 004; Monowar H. Bhuyan; Imran Razzak; Prashant Gupta; Mukesh Prasad (IJCNN, 2020)

A Two-Phase Approach for Semi-Supervised Feature Selection. - Amit Saxena 001; Shreya Pare; Mahendra Singh Meena; Deepak Gupta 004; Akshansh Gupta; Imran Razzak; Chin-Teng Lin; Mukesh Prasad (Algorithms, 2020)

Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC). - Parashjyoti Borah; Deepak Gupta 004 (Appl. Intell., 2020)

Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. - Barenya Bikash Hazarika; Deepak Gupta 004 (Appl. Soft Comput., 2020)

Functional iterative approaches for solving support vector classification problems based on generalized Huber loss. - Parashjyoti Borah; Deepak Gupta 004 (Neural Comput. Appl., 2020)

Lagrangian twin parametric insensitive support vector regression (LTPISVR). - Deepak Gupta 004; Kamalini Acharjee; Bharat Richhariya (Neural Comput. Appl., 2020)

Robust regularized extreme learning machine with asymmetric Huber loss function. - Deepak Gupta 004; Barenya Bikash Hazarika; Mohanadhas Berlin (Neural Comput. Appl., 2020)

Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm. - Shreya Pare; Mukesh Prasad; Deepak Puthal; Deepak Gupta 004; Anand Malik; Amit Saxena 001 (FUZZ-IEEE, 2021)

Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems. - Deepak Gupta 004; Bharat Richhariya (Ann. Math. Artif. Intell., 2021)

Robust twin bounded support vector machines for outliers and imbalanced data. - Parashjyoti Borah; Deepak Gupta 004 (Appl. Intell., 2021)

Least squares large margin distribution machine for regression. - Umesh Gupta; Deepak Gupta 004 (Appl. Intell., 2021)

On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function. - Deepak Gupta 004; Umesh Gupta (Appl. Soft Comput., 2021)

An intuitionistic fuzzy kernel ridge regression classifier for binary classification. - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Appl. Soft Comput., 2021)

Universum based Lagrangian twin bounded support vector machine to classify EEG signals. - Bikram Kumar; Deepak Gupta 004 (Comput. Methods Programs Biomed., 2021)

Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine. - Umesh Gupta; Deepak Gupta 004 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021)

Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification. - Umesh Gupta; Deepak Gupta 004 (Int. J. Mach. Learn. Cybern., 2021)

Applying over 100 classifiers for churn prediction in telecom companies. - Debjyoti Das Adhikary; Deepak Gupta 004 (Multim. Tools Appl., 2021)

Computational approach to clinical diagnosis of diabetes disease: a comparative study. - Deepak Gupta 004; Ambika Choudhury; Umesh Gupta; Priyanka Singh; Mukesh Prasad (Multim. Tools Appl., 2021)

Density-weighted support vector machines for binary class imbalance learning. - Barenya Bikash Hazarika; Deepak Gupta 004 (Neural Comput. Appl., 2021)

On Regularization Based Twin Support Vector Regression with Huber Loss. - Umesh Gupta; Deepak Gupta 004 (Neural Process. Lett., 2021)

Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. - Barenya Bikash Hazarika; Deepak Gupta 004 (Comput. Methods Programs Biomed., 2022)

Affinity and transformed class probability-based fuzzy least squares support vector machines. - Parashjyoti Borah; Deepak Gupta 004 (Fuzzy Sets Syst., 2022)

Bipolar fuzzy based least squares twin bounded support vector machine. - Umesh Gupta; Deepak Gupta 004 (Fuzzy Sets Syst., 2022)

Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis. - Deepak Gupta 004; Parashjyoti Borah; Usha Mary Sharma; Mukesh Prasad (Neural Comput. Appl., 2022)

Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning. - Barenya Bikash Hazarika; Deepak Gupta 004 (Neural Process. Lett., 2022)

An Intuitionistic Fuzzy Random Vector Functional Link Classifier. - Upendra Mishra; Deepak Gupta 004; Barenya Bikash Hazarika (Neural Process. Lett., 2023)

Improved twin bounded large margin distribution machines for binary classification. - Barenya Bikash Hazarika; Deepak Gupta 004 (Multim. Tools Appl., 2023)

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study. - Rana Muhammad Adnan; Barenya Bikash Hazarika; Deepak Gupta 004; Salim Heddam; Özgür Kisi (Neural Comput. Appl., 2023)

Least squares structural twin bounded support vector machine on class scatter. - Umesh Gupta; Deepak Gupta 004 (Appl. Intell., 2023)

Leaf disease detection using machine learning and deep learning: Review and challenges. - Chittabarni Sarkar; Deepak Gupta 004; Umesh Gupta; Barenya Bikash Hazarika (Appl. Soft Comput., 2023)

Robust support vector quantile regression with truncated pinball loss (RSVQR). - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Comput. Appl. Math., 2023)

1-Norm twin random vector functional link networks based on Universum data for leaf disease detection. - Chittabarni Sarkar; Deepak Gupta 004; Barenya Bikash Hazarika (Appl. Soft Comput., 2023)

Mode decomposition based large margin distribution machines for sediment load prediction. - Barenya Bikash Hazarika; Deepak Gupta 004 (Expert Syst. Appl., 2023)

Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning. - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Knowl. Inf. Syst., 2023)

An efficient angle-based twin random vector functional link classifier. - Upendra Mishra; Deepak Gupta 004; Barenya Bikash Hazarika (Appl. Soft Comput., 2024)

Wavelet kernel large margin distribution machine-based regression for modelling the river suspended sediment load. - Deepak Gupta 004; Barenya Bikash Hazarika; Mohanadhas Berlin (Comput. Electr. Eng., 2024)

Fuzzy twin kernel ridge regression classifiers for liver disorder detection. - Deepak Gupta 004; Barenya Bikash Hazarika; Parashjyoti Borah (Int. J. Bus. Intell. Data Min., 2024)

Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM). - Deepak Gupta 004; Umesh Gupta; Hemanga Jyoti Sarma (Multim. Tools Appl., 2024)

Deep feature extraction from EEG signals using xception model for emotion classification. - Arpan Phukan; Deepak Gupta 004 (Multim. Tools Appl., 2024)

Application Layer Load Balancing in Software Defined Networking Using Priority Based Round Robin Scheduling Algorithm. - Neha Joshi; Deepak Gupta 004 (Wirel. Pers. Commun., 2024)

EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine. - Barenya Bikash Hazarika; Deepak Gupta 004; Bikram Kumar (Cogn. Comput., 2024)

Class-specific intuitionistic fuzzy kernel ridge regression classifier. - Barenya Bikash Hazarika; Deepak Gupta 004 (Appl. Soft Comput., 2025)

ConCave-Convex procedure for support vector machines with Huber loss for text classification. - Parashjyoti Borah; Deepak Gupta 004; Barenya Bikash Hazarika (Comput. Electr. Eng., 2025)

A hybrid approach for plant leaf detection using ResNet50- intuitionistic fuzzy RVFL (ResNet50-IFRVFLC) classifier. - Upendra Mishra; Deepak Gupta 004; Achyuth Sarkar; Barenya Bikash Hazarika (Comput. Electr. Eng., 2025)

Entropy-based fuzzy 1norm twin random vector functional link networks for binary class imbalance learning. - Chittabarni Sarkar; Deepak Gupta 004; Barenya Bikash Hazarika; Rajat Subhra Goswami (Eng. Appl. Artif. Intell., 2025)

An efficient implicit Lagrangian twin bounded support vector machine. - Umesh Gupta; Deepak Gupta 004 (Int. J. Adv. Intell. Paradigms, 2025)

An Unconstrained Primal Based Twin Parametric Insensitive Support Vector Regression. - Deepak Gupta 004; Bharat Richhariya; Parashjyoti Borah (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2025)