Bagesh Kumar

According to our database, Bagesh Kumar authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Lost in Translation? A Comparative Study on the Cross-Lingual Transfer of Composite Harms.

Vaibhav Shukla, Hardik Sharma, Adith N. Reganti, Soham Wasmatkar, Bagesh Kumar, Vrijendra Singh

CoRR, February, 2026

2024

Talk to Your Brain: Artificial Personalized Intelligence for Emotionally Adaptive AI Interactions.

Sandeep Varma, Shivam, Sarun Natarajan, Biswarup Ray, Bagesh Kumar, Om Dabral

Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024

Enhancing Visual Question Answering with Beam Search in Transformer Models.

Pratiksh Kumar, Rishik Gupta, Vanshika Mishra, Prakhar Shukla, Bagesh Kumar, Pratham Bhatia, Abhinav Upadhyay

Proceedings of the Computational Intelligence in Communications and Business Analytics, 2024

2023

Enhanced Heart Disease Classification Using Parallelization and Integrated Machine-Learning Techniques.

Subham Panda, Rishik Gupta, Chandan Kumar, Rashi Mishra, Saransh Gupta, Akash Bhardwaj, Pratiksh Kumar, Prakhar Shukla, Bagesh Kumar

Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

A Natural Language Processing-Based Multimodal Deep Learning Approach for News Category Tagging.

Bagesh Kumar, Alankar Singh, Vaidik Sharma, Yuvraj Shivam, Krishna Mohan, Prakhar Shukla, Tanay Falor, Abhishek Kumar

Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022

Generating Textual Description Using Modified Beam Search.

Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density.

Pratyush Pareek, Aaryan Bhardwaj, Sanskar Patro, Anirudh Arora, Muskan Deep Kaur Maini, Bagesh Kumar, O. P. Vyas

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

Optimized Forex Trading using Ensemble of Deep Q-Learning Agents.

Bagesh Kumar, Aadharsh Roshan, Ayush Baranwal, Sankalp Rajendran, Sahil Sharma, Amritansh Mishra, O. P. Vyas

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques.

Bagesh Kumar, Amritansh Mishra, Aayush Talesara, Shubham Kumar, Sourav Dey, O. P. Vyas, Ranjana Vyas

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM.

Bagesh Kumar, Amritansh Mishra, Subham Raj, Aditya Kumar, Om Suhas Vibhandik, Aayush Talesara, Shubham Kumar, O. P. Vyas

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021

A fast learning algorithm for One-Class Slab Support Vector Machines.

Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, O. P. Vyas

Knowl. Based Syst., 2021

Classification of Indoor-Outdoor Scene Using Deep Learning Techniques.

Bagesh Kumar, Harshit Gupta, Shriyash Pravin Ingale, O. P. Vyas

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2021

2020

Sequential Minimal Optimization for One-Class Slab Support Vector Machine.

Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, Aashutosh Khandelwal, Harsh Jain, O. P. Vyas

CoRR, 2020