11 citations · 28 across the 12 of their papers we have counts for
14 papers
Right Answer, Wrong Reason: Accuracy, Consistency, and Consensus Are Misleading Indicators of LLM Faithfulness in Clinical Decision Support
Bharath Kumar Bolla, Chaitali Deb Purkayastha, Vishnu Surya Reddy Nandi
Clinical Large Language Models (LLMs) achieve strong medical-exam accuracy; however, a correct answer does not guarantee that the explanation names the concepts that actually drove…
Beyond Accuracy: Counterfactual Fragility and Demographic Bias in Clinical Evaluation of LLMs
Chaitai Deb Purkayastha, Chaitali Deb Purkayastha, Bharath Kumar Bolla +1
Clinical LLM evaluation often emphasizes answer accuracy; however, accuracy alone does not test counterfactual consistency or demographic robustness. We evaluated six LLMs on 150 M…
Aspect category learning and sentimental analysis using weakly supervised learning
Kalpa Subbaih, Bharath Kumar Bolla
The surge of e-commerce reviews has presented a challenge in manually annotating the vast volume of reviews to comprehend their underlying aspects and sentiments. This research foc…
Comparative Study of Predicting Stock Index Using Deep Learning Models
Harshal Patel, Bharath Kumar Bolla, Sabeesh E +1
Time series forecasting has seen many methods attempted over the past few decades, including traditional technical analysis, algorithmic statistical models, and more recent machine…
Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings
Nagarjuna Chereddy, Bharath Kumar Bolla
The present study aimed to address the issue of imbalanced data in classification tasks and evaluated the suitability of SMOTE, ADASYN, and GAN techniques in generating synthetic d…
Efficient Neural Net Approaches in Metal Casting Defect Detection
Rohit Lal, Bharath Kumar Bolla, Sabeesh Ethiraj
One of the most pressing challenges prevalent in the steel manufacturing industry is the identification of surface defects. Early identification of casting defects can help boost p…
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…
Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks
Prathima Dileep, Bharath Kumar Bolla, Sabeesh Ethiraj
Facial landmark detection is a widely researched field of deep learning as this has a wide range of applications in many fields. These key points are distinguishing characteristic…
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…