Bagesh Kumar - researchr alias

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Viewing Publication 1 - 6 from 6

2022

Optimized Forex Trading using Ensemble of Deep Q-Learning AgentsBagesh Kumar, Aadharsh Roshan, Ayush Baranwal, Sankalp Rajendran, Sahil Sharma, Amritansh Mishra, O. P. Vyas 0001. ic3 2022: 417-428 [doi]

Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning TechniquesBagesh Kumar, Amritansh Mishra, Aayush Talesara, Shubham Kumar, Sourav Dey, O. P. Vyas 0001, Ranjana Vyas. ic3 2022: 242-249 [doi]

An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVMBagesh Kumar, Amritansh Mishra, Subham Raj, Aditya Kumar, Om Suhas Vibhandik, Aayush Talesara, Shubham Kumar, O. P. Vyas 0001. ic3 2022: 429-439 [doi]

Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data DensityPratyush Pareek, Aaryan Bhardwaj, Sanskar Patro, Anirudh Arora, Muskan Deep Kaur Maini, Bagesh Kumar, O. P. Vyas 0001. ic3 2022: 467-475 [doi]

Generating Textual Description Using Modified Beam SearchDivyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas 0001, Suhaib Khan, S. Shourya. iconip 2023: 136-147 [doi]

2021

A fast learning algorithm for One-Class Slab Support Vector MachinesBagesh Kumar, Ayush Sinha, Sourin Chakrabarti, O. P. Vyas 0001. kbs, 228:107267, 2021. [doi]

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