most citedClassification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks

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cs.LG2022

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…

cs.LG20221 cited

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…

cs.LG2022

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…

cs.LG20223 cited

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…

cs.LG2022

Efficient Deep Learning Methods for Identification of Defective Casting Products

Bharath Kumar Bolla, Mohan Kingam, Sabeesh Ethiraj

Quality inspection has become crucial in any large-scale manufacturing industry recently. In order to reduce human error, it has become imperative to use efficient and low computat…