8 citations · 11 across the 4 of their papers we have counts for
14 papers
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
Aniket K. Singh, Debasis Chaudhuri, Manish P. Singh +1
With the growing demand for interpretable deep learning models, this paper introduces Integrative CAM, an advanced Class Activation Mapping (CAM) technique aimed at providing a hol…
Transfer Learning and Transformer Architecture for Financial Sentiment Analysis
Tohida Rehman, Raghubir Bose, Samiran Chattopadhyay +1
Financial sentiment analysis allows financial institutions like Banks and Insurance Companies to better manage the credit scoring of their customers in a better way. Financial doma…
Analysis of Multidomain Abstractive Summarization Using Salience Allocation
Tohida Rehman, Raghubir Bose, Soumik Dey +1
This paper explores the realm of abstractive text summarization through the lens of the SEASON (Salience Allocation as Guidance for Abstractive SummarizatiON) technique, a model de…
Automatic Recognition of Learning Resource Category in a Digital Library
Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2
Digital libraries often face the challenge of processing a large volume of diverse document types. The manual collection and tagging of metadata can be a time-consuming and error-p…
Generative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023
Srijoni Majumdar, Soumen Paul, Debjyoti Paul +5
The Information Retrieval in Software Engineering (IRSE) track aims to develop solutions for automated evaluation of code comments in a machine learning framework based on human an…
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury +2
Privacy and annotation bottlenecks are two major issues that profoundly affect the practicality of machine learning-based medical image analysis. Although significant progress has…