11 citations · 19 across the 8 of their papers we have counts for
8 papers
Augmentations: An Insight into their Effectiveness on Convolution Neural Networks
Sabeesh Ethiraj, Bharath Kumar Bolla
Augmentations are the key factor in determining the performance of any neural network as they provide a model with a critical edge in boosting its performance. Their ability to boo…
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust Models
Sabeesh Ethiraj, Bharath Kumar Bolla
Deep Learning has revolutionized the fields of computer vision, natural language understanding, speech recognition, information retrieval and more. Many techniques have evolved ove…
Classification of Quasars, Galaxies, and Stars in the Mapping of the Universe Multi-modal Deep Learning
Sabeesh Ethiraj, Bharath Kumar Bolla
In this paper, the fourth version the Sloan Digital Sky Survey (SDSS-4), Data Release 16 dataset was used to classify the SDSS dataset into galaxies, stars, and quasars using machi…
Do Deep Learning Models and News Headlines Outperform Conventional Prediction Techniques on Forex Data?
Sucharita Atha, Bharath Kumar Bolla
Foreign Exchange (FOREX) is a decentralised global market for exchanging currencies. The Forex market is enormous, and it operates 24 hours a day. Along with country-specific facto…
Topic Modelling on Consumer Financial Protection Bureau Data: An Approach Using BERT Based Embeddings
Vasudeva Raju Sangaraju, Bharath Kumar Bolla, Deepak Kumar Nayak +1
Customers' reviews and comments are important for businesses to understand users' sentiment about the products and services. However, this data needs to be analyzed to assess the s…
Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks
Sabeesh Ethiraj, Bharath Kumar Bolla
The SDSS-IV dataset contains information about various astronomical bodies such as Galaxies, Stars, and Quasars captured by observatories. Inspired by our work on deep multimodal l…