Deepak Gupta - RankMe

74 papers B 3Journal 64Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel twin extreme learning machine for regression problems. J. Comput. Appl. Math. Saurabh Dubey, Deepak Gupta, Mainak Mallik, Barenya Bikash Hazarika
2026	J	`jnl`	Affinity-based fuzzy twin random vector functional link network classifier. Comput. Electr. Eng. Chittabarni Sarkar, Deepak Gupta, Rajat Subhra Goswami, Barenya Bikash Hazarika
2026	J	`jnl`	Entropy based fuzzy multi-view twin random vector functional link for class imbalanced data. Eng. Appl. Artif. Intell. Jyoti Maurya, Deepak Gupta
2025	J	`jnl`	A functional iterative approach for twin bounded support vector machine with squared pinball loss (Spin-FITBSVM). Neural Networks Deepak Gupta, Barenya Bikash Hazarika, Umesh Gupta
2025	J	`jnl`	A hybrid approach for plant leaf detection using ResNet50- intuitionistic fuzzy RVFL (ResNet50-IFRVFLC) classifier. Comput. Electr. Eng. Upendra Mishra, Deepak Gupta, Achyuth Sarkar, Barenya Bikash Hazarika
2025	J	`jnl`	A robust fuzzy twin support vector machine with kernel-target alignment for binary classification. Eng. Appl. Artif. Intell. Deepak Gupta, Barenya Bikash Hazarika, Umesh Gupta, Witold Pedrycz
2025	J	`jnl`	An Unconstrained Primal Based Twin Parametric Insensitive Support Vector Regression. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Deepak Gupta, Bharat Richhariya, Parashjyoti Borah
2025	J	`jnl`	An efficient implicit Lagrangian twin bounded support vector machine. Int. J. Adv. Intell. Paradigms Umesh Gupta, Deepak Gupta
2025	J	`jnl`	Class-specific intuitionistic fuzzy kernel ridge regression classifier. Appl. Soft Comput. Barenya Bikash Hazarika, Deepak Gupta
2025	J	`jnl`	ConCave-Convex procedure for support vector machines with Huber loss for text classification. Comput. Electr. Eng. Parashjyoti Borah, Deepak Gupta, Barenya Bikash Hazarika
2025	J	`jnl`	Entropy-based fuzzy 1norm twin random vector functional link networks for binary class imbalance learning. Eng. Appl. Artif. Intell. Chittabarni Sarkar, Deepak Gupta, Barenya Bikash Hazarika, Rajat Subhra Goswami
2024	J	`jnl`	An efficient angle-based twin random vector functional link classifier. Appl. Soft Comput. Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika
2024	J	`jnl`	Application Layer Load Balancing in Software Defined Networking Using Priority Based Round Robin Scheduling Algorithm. Wirel. Pers. Commun. Neha Joshi, Deepak Gupta
2024	J	`jnl`	Deep feature extraction from EEG signals using xception model for emotion classification. Multim. Tools Appl. Arpan Phukan, Deepak Gupta
2024	J	`jnl`	EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine. Cogn. Comput. Barenya Bikash Hazarika, Deepak Gupta, Bikram Kumar
2024	J	`jnl`	Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM). Multim. Tools Appl. Deepak Gupta, Umesh Gupta, Hemanga Jyoti Sarma
2024	J	`jnl`	Fuzzy twin kernel ridge regression classifiers for liver disorder detection. Int. J. Bus. Intell. Data Min. Deepak Gupta, Barenya Bikash Hazarika, Parashjyoti Borah
2024	J	`jnl`	Wavelet kernel large margin distribution machine-based regression for modelling the river suspended sediment load. Comput. Electr. Eng. Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin
2023	J	`jnl`	1-Norm twin random vector functional link networks based on Universum data for leaf disease detection. Appl. Soft Comput. Chittabarni Sarkar, Deepak Gupta, Barenya Bikash Hazarika
2023	J	`jnl`	An Intuitionistic Fuzzy Random Vector Functional Link Classifier. Neural Process. Lett. Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika
2023	J	`jnl`	Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning. Knowl. Inf. Syst. Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
2023	J	`jnl`	Improved twin bounded large margin distribution machines for binary classification. Multim. Tools Appl. Barenya Bikash Hazarika, Deepak Gupta
2023	J	`jnl`	Leaf disease detection using machine learning and deep learning: Review and challenges. Appl. Soft Comput. Chittabarni Sarkar, Deepak Gupta, Umesh Gupta, Barenya Bikash Hazarika
2023	J	`jnl`	Least squares structural twin bounded support vector machine on class scatter. Appl. Intell. Umesh Gupta, Deepak Gupta
2023	J	`jnl`	Mode decomposition based large margin distribution machines for sediment load prediction. Expert Syst. Appl. Barenya Bikash Hazarika, Deepak Gupta
2023	J	`jnl`	Robust support vector quantile regression with truncated pinball loss (RSVQR). Comput. Appl. Math. Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
2023	J	`jnl`	Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study. Neural Comput. Appl. Rana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta, Salim Heddam, Özgür Kisi
2022	J	`jnl`	1-Norm random vector functional link networks for classification problems. Complex Intell. Syst. Barenya Bikash Hazarika, Deepak Gupta
2022	J	`jnl`	Affinity and transformed class probability-based fuzzy least squares support vector machines. Fuzzy Sets Syst. Parashjyoti Borah, Deepak Gupta
2022	J	`jnl`	Bipolar fuzzy based least squares twin bounded support vector machine. Fuzzy Sets Syst. Umesh Gupta, Deepak Gupta
2022	J	`jnl`	Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis. Neural Comput. Appl. Deepak Gupta, Parashjyoti Borah, Usha Mary Sharma, Mukesh Prasad
2022	J	`jnl`	Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning. Neural Process. Lett. Barenya Bikash Hazarika, Deepak Gupta
2022	J	`jnl`	Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. Comput. Methods Programs Biomed. Barenya Bikash Hazarika, Deepak Gupta
2021	J	`jnl`	An intuitionistic fuzzy kernel ridge regression classifier for binary classification. Appl. Soft Comput. Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
2021	J	`jnl`	Applying over 100 classifiers for churn prediction in telecom companies. Multim. Tools Appl. Debjyoti Das Adhikary, Deepak Gupta
2021	J	`jnl`	Computational approach to clinical diagnosis of diabetes disease: a comparative study. Multim. Tools Appl. Deepak Gupta, Ambika Choudhury, Umesh Gupta, Priyanka Singh, Mukesh Prasad
2021	J	`jnl`	Density-weighted support vector machines for binary class imbalance learning. Neural Comput. Appl. Barenya Bikash Hazarika, Deepak Gupta
2021	J	`jnl`	Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems. Ann. Math. Artif. Intell. Deepak Gupta, Bharat Richhariya
2021	J	`jnl`	Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Umesh Gupta, Deepak Gupta
2021	J	`jnl`	Least squares large margin distribution machine for regression. Appl. Intell. Umesh Gupta, Deepak Gupta
2021	B	`conf`	Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm. FUZZ-IEEE Shreya Pare, Mukesh Prasad, Deepak Puthal, Deepak Gupta, Anand Malik, Amit Saxena
2021	J	`jnl`	On Regularization Based Twin Support Vector Regression with Huber Loss. Neural Process. Lett. Umesh Gupta, Deepak Gupta
2021	J	`jnl`	On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function. Appl. Soft Comput. Deepak Gupta, Umesh Gupta
2021	J	`jnl`	Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification. Int. J. Mach. Learn. Cybern. Umesh Gupta, Deepak Gupta
2021	J	`jnl`	Robust twin bounded support vector machines for outliers and imbalanced data. Appl. Intell. Parashjyoti Borah, Deepak Gupta
2021	J	`jnl`	Universum based Lagrangian twin bounded support vector machine to classify EEG signals. Comput. Methods Programs Biomed. Bikram Kumar, Deepak Gupta
2020	J	`jnl`	A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad
2020	B	`conf`	End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. IJCNN Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad
2020	J	`jnl`	Functional iterative approaches for solving support vector classification problems based on generalized Huber loss. Neural Comput. Appl. Parashjyoti Borah, Deepak Gupta
2020	J	`jnl`	Lagrangian twin parametric insensitive support vector regression (LTPISVR). Neural Comput. Appl. Deepak Gupta, Kamalini Acharjee, Bharat Richhariya
2020	J	`jnl`	Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. Appl. Soft Comput. Barenya Bikash Hazarika, Deepak Gupta
2020	J	`jnl`	Robust regularized extreme learning machine with asymmetric Huber loss function. Neural Comput. Appl. Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin
2020	J	`jnl`	Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC). Appl. Intell. Parashjyoti Borah, Deepak Gupta
2019	J	`jnl`	A fuzzy twin support vector machine based on information entropy for class imbalance learning. Neural Comput. Appl. Deepak Gupta, Bharat Richhariya, Parashjyoti Borah
2019	J	`jnl`	An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function. Appl. Intell. Umesh Gupta, Deepak Gupta
2019	J	`jnl`	Facial expression recognition using iterative universum twin support vector machine. Appl. Soft Comput. Bharat Richhariya, Deepak Gupta
2019	B	`conf`	Regularized Universum twin support vector machine for classification of EEG Signal. SMC Deepak Gupta, Hemanga Jyoti Sarma, Kshitij Mishra, Mukesh Prasad
2019	J	`jnl`	Unconstrained convex minimization based implicit Lagrangian twin random vector Functional-link networks for binary classification (ULTRVFLC). Appl. Soft Comput. Parashjyoti Borah, Deepak Gupta
2018	J	`jnl`	Entropy based fuzzy least squares twin support vector machine for class imbalance learning. Appl. Intell. Deepak Gupta, Bharat Richhariya
2018	—	`conf`	Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System. SSCI Mukesh Prasad, Shantanu Rajora, Deepak Gupta, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Pranay Yadav, Prayag Tiwari, Amit Saxena
2018	—	`conf`	Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine. SSCI Parashjyoti Borah, Deepak Gupta, Mukesh Prasad
2018	—	`conf`	Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine. SSCI Umesh Gupta, Deepak Gupta, Mukesh Prasad
2018	—	`conf`	Online video streaming for human tracking based on weighted resampling particle filter. INNS Conference on Big Data Mukesh Prasad, Liang-Cheng Chang, Deepak Gupta, Mahardhika Pratama, Suresh Sundaram, Chin-Teng Lin
2017	—	`conf`	A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM). SSCI Deepak Gupta, Parashjyoti Borah, Mukesh Prasad
2017	J	`jnl`	A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. Appl. Intell. S. Balasundaram, Deepak Gupta, Subhash Chandra Prasad
2017	—	`conf`	Block-based feature extraction model for early fire detection. SSCI Kuang-Pen Chou, Mukesh Prasad, Deepak Gupta, Sharmi Sankar, Ting-Wei Xu, Suresh Sundaram, Chin-Teng Lin, Wen-Chieh Lin
2017	J	`jnl`	Training primal K-nearest neighbor based weighted twin support vector regression via unconstrained convex minimization. Appl. Intell. Deepak Gupta
2016	J	`jnl`	Knowledge-based extreme learning machines. Neural Comput. Appl. S. Balasundaram, Deepak Gupta
2016	J	`jnl`	On optimization based extreme learning machine in primal for regression and classification by functional iterative method. Int. J. Mach. Learn. Cybern. S. Balasundaram, Deepak Gupta
2014	J	`jnl`	1-Norm extreme learning machine for regression and multiclass classification using Newton method. Neurocomputing S. Balasundaram, Deepak Gupta, Kapil
2014	J	`jnl`	Lagrangian support vector regression via unconstrained convex minimization. Neural Networks S. Balasundaram, Deepak Gupta, Kapil
2014	J	`jnl`	On implicit Lagrangian twin support vector regression by Newton method. Int. J. Comput. Intell. Syst. S. Balasundaram, Deepak Gupta
2014	J	`jnl`	Training Lagrangian twin support vector regression via unconstrained convex minimization. Knowl. Based Syst. S. Balasundaram, Deepak Gupta
2013	—	`conf`	A Heuristic for Permutation Flowshop Scheduling to Minimize Makespan. SocProS (2) Deepak Gupta, Kewal Krishan Nailwal, Sameer Sharma