Bagesh Kumar

13 papers Journal 3Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lost in Translation? A Comparative Study on the Cross-Lingual Transfer of Composite Harms.
CoRR
Vaibhav Shukla, Hardik Sharma, Adith N. Reganti, Soham Wasmatkar, Bagesh Kumar, Vrijendra Singh
2024 — conf
Enhancing Visual Question Answering with Beam Search in Transformer Models.
CICBA (1)
Pratiksh Kumar, Rishik Gupta, Vanshika Mishra, Prakhar Shukla, Bagesh Kumar, Pratham Bhatia, Abhinav Upadhyay
2024 — conf
Talk to Your Brain: Artificial Personalized Intelligence for Emotionally Adaptive AI Interactions.
CVMI
Sandeep Varma, Shivam, Sarun Natarajan, Biswarup Ray, Bagesh Kumar, Om Dabral
2023 — conf
A Natural Language Processing-Based Multimodal Deep Learning Approach for News Category Tagging.
CVIP (3)
Bagesh Kumar, Alankar Singh, Vaidik Sharma, Yuvraj Shivam, Krishna Mohan, Prakhar Shukla, Tanay Falor, Abhishek Kumar
2023 — conf
Enhanced Heart Disease Classification Using Parallelization and Integrated Machine-Learning Techniques.
CVIP (3)
Subham Panda, Rishik Gupta, Chandan Kumar, Rashi Mishra, Saransh Gupta, Akash Bhardwaj, Pratiksh Kumar, Prakhar Shukla, Bagesh Kumar
2022 — conf
An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM.
IC3
Bagesh Kumar, Amritansh Mishra, Subham Raj, Aditya Kumar, Om Suhas Vibhandik, Aayush Talesara, Shubham Kumar, O. P. Vyas
2022 — conf
Generating Textual Description Using Modified Beam Search.
ICONIP (5)
Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya
2022 — conf
Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques.
IC3
Bagesh Kumar, Amritansh Mishra, Aayush Talesara, Shubham Kumar, Sourav Dey, O. P. Vyas, Ranjana Vyas
2022 — conf
Optimized Forex Trading using Ensemble of Deep Q-Learning Agents.
IC3
Bagesh Kumar, Aadharsh Roshan, Ayush Baranwal, Sankalp Rajendran, Sahil Sharma, Amritansh Mishra, O. P. Vyas
2022 — conf
Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density.
IC3
Pratyush Pareek, Aaryan Bhardwaj, Sanskar Patro, Anirudh Arora, Muskan Deep Kaur Maini, Bagesh Kumar, O. P. Vyas
2021 J jnl
A fast learning algorithm for One-Class Slab Support Vector Machines.
Knowl. Based Syst.
Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, O. P. Vyas
2021 — conf
Classification of Indoor-Outdoor Scene Using Deep Learning Techniques.
MIND
Bagesh Kumar, Harshit Gupta, Shriyash Pravin Ingale, O. P. Vyas
2020 J jnl
Sequential Minimal Optimization for One-Class Slab Support Vector Machine.
CoRR
Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, Aashutosh Khandelwal, Harsh Jain, O. P. Vyas