Leaf disease detection using machine learning and deep learning: Review and challenges C Sarkar, D Gupta, U Gupta, BB Hazarika Applied Soft Computing, 110534, 2023 | 39 | 2023 |
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function U Gupta, D Gupta Applied Intelligence 49 (10), 3606-3627, 2019 | 38 | 2019 |
On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function D Gupta, U Gupta Applied Soft Computing 102, 107099, 2021 | 37 | 2021 |
Computational approach to clinical diagnosis of diabetes disease: a comparative study D Gupta, A Choudhury, U Gupta, P Singh, M Prasad Multimedia Tools and Applications, 1-26, 2021 | 37 | 2021 |
Least squares large margin distribution machine for regression U Gupta, D Gupta Applied Intelligence, 1-36, 2021 | 29 | 2021 |
On regularization based twin support vector regression with Huber loss U Gupta, D Gupta Neural Processing Letters 53 (1), 459-515, 2021 | 29 | 2021 |
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification U Gupta, D Gupta International Journal of Machine Learning and Cybernetics 12 (5), 1311-1342, 2021 | 22 | 2021 |
Least squares structural twin bounded support vector machine on class scatter U Gupta, D Gupta Applied Intelligence 53 (12), 15321-15351, 2023 | 20 | 2023 |
Lagrangian twin-bounded support vector machine based on L2-norm U Gupta, D Gupta Recent Developments in Machine Learning and Data Analytics: IC3 2018, 431-444, 2019 | 20 | 2019 |
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine U Gupta, D Gupta, M Prasad 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 228-235, 2018 | 20 | 2018 |
Bipolar fuzzy based least squares twin bounded support vector machine U Gupta, D Gupta Fuzzy Sets and Systems 449, 120-161, 2022 | 18 | 2022 |
VI-NET: a hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification S Kumar, SK Gupta, M Kaur, U Gupta Journal of Visual Communication and Image Representation 89, 103644, 2022 | 18 | 2022 |
Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine U Gupta, D Gupta International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2021 | 17 | 2021 |
Analysis of Randomization-Based Approaches for Autism Spectrum Disorder U Gupta, D Gupta, U Agarwal Pattern Recognition and Data Analysis with Applications, 701-713, 2022 | 12 | 2022 |
Statistical analysis of target tracking algorithms in thermal imagery U Gupta, P Meher Cognitive Informatics and Soft Computing: Proceeding of CISC 2019, 635-646, 2020 | 11 | 2020 |
Analysis of Target Tracking Algorithm in Thermal Imagery U Gupta, M Dutta, M Vadhavaniya International Journal of Computer Applications 71 (16), 2013 | 9 | 2013 |
Automated Machine Learning Deployment Using Open-Source CI/CD Tool AS Parihar, U Gupta, U Srivastava, V Yadav, VK Trivedi Proceedings of Data Analytics and Management: ICDAM 2022, 209-222, 2023 | 8 | 2023 |
Intuitionistic Fuzzy Kernel Random Vector Functional Link Classifier BB Hazarika, D Gupta, U Gupta Machine Intelligence Techniques for Data Analysis and Signal Processing …, 2023 | 7 | 2023 |
Next-generation networks enabled technologies: Challenges and applications U Gupta, D Pantola, A Bhardwaj, SP Singh Next generation communication networks for industrial internet of things …, 2022 | 6 | 2022 |
Brain Tumor Detection Using Improved Otsu’s Thresholding Method and Supervised Learning Techniques at Early Stage M Gupta, D Srivastava, D Pantola, U Gupta Proceedings of Emerging Trends and Technologies on Intelligent Systems …, 2022 | 6 | 2022 |