Bharath Kumar Bolla

According to our database, Bharath Kumar Bolla authored at least 13 papers between 2022 and 2023.

Collaborative distances:

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

2023

Comparative Study of Predicting Stock Index Using Deep Learning Models.

Harshal Patel, Bharath Kumar Bolla, Sabeesh Ethiraj, Dinesh Reddy

CoRR, 2023

Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings.

Nagarjuna Chereddy, Bharath Kumar Bolla

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

Aspect category learning and sentimental analysis using weakly supervised learning.

Kalpa Subbaih, Bharath Kumar Bolla

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Detection of Objectionable Song Lyrics Using Weakly Supervised Learning and Natural Language Processing Techniques.

Bharath Kumar Bolla, Soumya Ranjan Pattnaik, Sambit Patra

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2022

Efficient Neural Net Approaches in Metal Casting Defect Detection.

Rohit Lal, Bharath Kumar Bolla, Sabeesh Ethiraj

CoRR, 2022

Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust Models.

Sabeesh Ethiraj, Bharath Kumar Bolla

CoRR, 2022

Classification of Quasars, Galaxies, and Stars in the Mapping of the Universe Multi-modal Deep Learning.

Sabeesh Ethiraj, Bharath Kumar Bolla

CoRR, 2022

Do Deep Learning Models and News Headlines Outperform Conventional Prediction Techniques on Forex Data?

Sucharita Atha, Bharath Kumar Bolla

CoRR, 2022

Topic Modelling on Consumer Financial Protection Bureau Data: An Approach Using BERT Based Embeddings.

Vasudeva Raju Sangaraju, Bharath Kumar Bolla, Deepak Kumar Nayak, Jyothsna Kh

CoRR, 2022

Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks.

Sabeesh Ethiraj, Bharath Kumar Bolla

CoRR, 2022

Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks.

Prathima Dileep, Bharath Kumar Bolla, Sabeesh Ethiraj

CoRR, 2022

Efficient Deep Learning Methods for Identification of Defective Casting Products.

Bharath Kumar Bolla, Mohan Kingam, Sabeesh Ethiraj

CoRR, 2022

Augmentations: An Insight into Their Effectiveness on Convolution Neural Networks.

Sabeesh Ethiraj, Bharath Kumar Bolla

Proceedings of the Advances in Computing and Data Sciences - 6th International Conference, 2022