Deepak Gupta 0004 - researchr alias

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Viewing Publication 1 - 47 from 47

2025

An Unconstrained Primal Based Twin Parametric Insensitive Support Vector RegressionDeepak Gupta 0004, Bharat Richhariya, Parashjyoti Borah. ijufks, 33(2):173-192, March 2025. [doi]

ConCave-Convex procedure for support vector machines with Huber loss for text classificationParashjyoti Borah, Deepak Gupta 0004, Barenya Bikash Hazarika. cee, 122:109925, 2025. [doi]

An efficient implicit Lagrangian twin bounded support vector machineUmesh Gupta, Deepak Gupta 0004. ijaip, 30(1):36-68, 2025. [doi]

A hybrid approach for plant leaf detection using ResNet50- intuitionistic fuzzy RVFL (ResNet50-IFRVFLC) classifierUpendra Mishra, Deepak Gupta 0004, Achyuth Sarkar, Barenya Bikash Hazarika. cee, 123:110135, 2025. [doi]

Entropy-based fuzzy 1norm twin random vector functional link networks for binary class imbalance learningChittabarni Sarkar, Deepak Gupta 0004, Barenya Bikash Hazarika, Rajat Subhra Goswami. eaai, 145:110201, 2025. [doi]

2024

Fuzzy twin kernel ridge regression classifiers for liver disorder detectionDeepak Gupta 0004, Barenya Bikash Hazarika, Parashjyoti Borah. ijbidm, 24(2):131-145, 2024. [doi]

Wavelet kernel large margin distribution machine-based regression for modelling the river suspended sediment loadDeepak Gupta 0004, Barenya Bikash Hazarika, Mohanadhas Berlin. cee, 120:109783, 2024. [doi]

Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM)Deepak Gupta 0004, Umesh Gupta, Hemanga Jyoti Sarma. mta, 83(8):22119-22151, 2024. [doi]

EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector MachineBarenya Bikash Hazarika, Deepak Gupta 0004, Bikram Kumar. cogcom, 16(4):2047-2062, July 2024. [doi]

Application Layer Load Balancing in Software Defined Networking Using Priority Based Round Robin Scheduling AlgorithmNeha Joshi, Deepak Gupta 0004. wpc, 136(2):759-772, May 2024. [doi]

An efficient angle-based twin random vector functional link classifierUpendra Mishra, Deepak Gupta 0004, Barenya Bikash Hazarika. asc, 164:112005, 2024. [doi]

Deep feature extraction from EEG signals using xception model for emotion classificationArpan Phukan, Deepak Gupta 0004. mta, 83(11):33445-33463, March 2024. [doi]

2023

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case studyRana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta 0004, Salim Heddam, Özgür Kisi. nca, 35(12):9053-9070, April 2023. [doi]

Least squares structural twin bounded support vector machine on class scatterUmesh Gupta, Deepak Gupta 0004. apin, 53(12):15321-15351, June 2023. [doi]

Robust support vector quantile regression with truncated pinball loss (RSVQR)Barenya Bikash Hazarika, Deepak Gupta 0004, Parashjyoti Borah. cam, 42(6):283, September 2023. [doi]

Fuzzy twin support vector machine based on affinity and class probability for class imbalance learningBarenya Bikash Hazarika, Deepak Gupta 0004, Parashjyoti Borah. kais, 65(12):5259-5288, December 2023. [doi]

Improved twin bounded large margin distribution machines for binary classificationBarenya Bikash Hazarika, Deepak Gupta 0004. mta, 82(9):13341-13368, April 2023. [doi]

Mode decomposition based large margin distribution machines for sediment load predictionBarenya Bikash Hazarika, Deepak Gupta 0004. eswa, 232:120844, December 2023. [doi]

An Intuitionistic Fuzzy Random Vector Functional Link ClassifierUpendra Mishra, Deepak Gupta 0004, Barenya Bikash Hazarika. npl, 55(4):4325-4346, 2023. [doi]

1-Norm twin random vector functional link networks based on Universum data for leaf disease detectionChittabarni Sarkar, Deepak Gupta 0004, Barenya Bikash Hazarika. asc, 148:110850, November 2023. [doi]

Leaf disease detection using machine learning and deep learning: Review and challengesChittabarni Sarkar, Deepak Gupta 0004, Umesh Gupta, Barenya Bikash Hazarika. asc, 145:110534, September 2023. [doi]

2022

Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysisDeepak Gupta 0004, Parashjyoti Borah, Usha Mary Sharma, Mukesh Prasad. nca, 34(14):11335-11345, 2022. [doi]

Affinity and transformed class probability-based fuzzy least squares support vector machinesParashjyoti Borah, Deepak Gupta 0004. fss, 443(Part):203-235, 2022. [doi]

Bipolar fuzzy based least squares twin bounded support vector machineUmesh Gupta, Deepak Gupta 0004. fss, 449:120-161, 2022. [doi]

Density Weighted Twin Support Vector Machines for Binary Class Imbalance LearningBarenya Bikash Hazarika, Deepak Gupta 0004. npl, 54(2):1091-1130, 2022. [doi]

Random vector functional link with ε-insensitive Huber loss function for biomedical data classificationBarenya Bikash Hazarika, Deepak Gupta 0004. cmpb, 215:106622, 2022. [doi]

2021

Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problemsDeepak Gupta 0004, Bharat Richhariya. AMAI, 89(3-4):301-332, 2021. [doi]

On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss functionDeepak Gupta 0004, Umesh Gupta. asc, 102:107099, 2021. [doi]

Computational approach to clinical diagnosis of diabetes disease: a comparative studyDeepak Gupta 0004, Ambika Choudhury, Umesh Gupta, Priyanka Singh, Mukesh Prasad. mta, 80(20):30091-30116, 2021. [doi]

Applying over 100 classifiers for churn prediction in telecom companiesDebjyoti Das Adhikary, Deepak Gupta 0004. mta, 80(28-29):35123-35144, 2021. [doi]

Robust twin bounded support vector machines for outliers and imbalanced dataParashjyoti Borah, Deepak Gupta 0004. apin, 51(8):5314-5343, 2021. [doi]

Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector MachineUmesh Gupta, Deepak Gupta 0004. ijufks, 29(5):677-707, 2021. [doi]

Least squares large margin distribution machine for regressionUmesh Gupta, Deepak Gupta 0004. apin, 51(10):7058-7093, 2021. [doi]

Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classificationUmesh Gupta, Deepak Gupta 0004. mlc, 12(5):1311-1342, 2021. [doi]

On Regularization Based Twin Support Vector Regression with Huber LossUmesh Gupta, Deepak Gupta 0004. npl, 53(1):459-515, 2021. [doi]

An intuitionistic fuzzy kernel ridge regression classifier for binary classificationBarenya Bikash Hazarika, Deepak Gupta 0004, Parashjyoti Borah. asc, 112:107816, 2021. [doi]

Density-weighted support vector machines for binary class imbalance learningBarenya Bikash Hazarika, Deepak Gupta 0004. nca, 33(9):4243-4261, 2021. [doi]

Universum based Lagrangian twin bounded support vector machine to classify EEG signalsBikram Kumar, Deepak Gupta 0004. cmpb, 208:106244, 2021. [doi]

Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search AlgorithmShreya Pare, Mukesh Prasad, Deepak Puthal, Deepak Gupta 0004, Anand Malik, Amit Saxena 0001. fuzzIEEE 2021: 1-7 [doi]

2020

A Two-Phase Approach for Semi-Supervised Feature SelectionAmit Saxena 0001, Shreya Pare, Mahendra Singh Meena, Deepak Gupta 0004, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad. algorithms, 13(9):215, 2020. [doi]

Lagrangian twin parametric insensitive support vector regression (LTPISVR)Deepak Gupta 0004, Kamalini Acharjee, Bharat Richhariya. nca, 32(10):5989-6007, 2020. [doi]

Robust regularized extreme learning machine with asymmetric Huber loss functionDeepak Gupta 0004, Barenya Bikash Hazarika, Mohanadhas Berlin. nca, 32(16):12971-12998, 2020. [doi]

Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC)Parashjyoti Borah, Deepak Gupta 0004. apin, 50(4):1327-1344, 2020. [doi]

Functional iterative approaches for solving support vector classification problems based on generalized Huber lossParashjyoti Borah, Deepak Gupta 0004. nca, 32(13):9245-9265, 2020. [doi]

Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networksBarenya Bikash Hazarika, Deepak Gupta 0004. asc, 96:106626, 2020. [doi]

2019

A fuzzy twin support vector machine based on information entropy for class imbalance learningDeepak Gupta 0004, Bharat Richhariya, Parashjyoti Borah. nca, 31(11):7153-7164, 2019. [doi]

2013

A Heuristic for Permutation Flowshop Scheduling to Minimize MakespanDeepak Gupta 0004, Kewal Krishan Nailwal, Sameer Sharma. socpros 2014: 423-432 [doi]

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