Research works discussed and/or presented in symposia thereby reported in the proceedings of a reputed conference, meeting, convention, workshop, etc. for generating new knowledge.
Submissions from 2024
Configuring Safe Spiking Neural Controllers for Cyber-Physical Systems through Formal Verification, Arkaprava Gupta, Sumana Ghosh, Ansuman Banerjee, and Swarup Kumar Mohalik
Criticality-aware Deconfounded Classification of Long-tailed Multi-label 12-lead Electrocardiogram, Trisrota Deb, Ishan Sahu, Arijit Ukil, Arpan Pal, Sundeep Khandelwal, and Utpal Garain
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer, Surochita Pal Das and Sushmita Mitra
Deep Learning as tool to distinguish words for sharp and round objects in natural languages, Keerthi S. Chandran, Sreeja Pal, and Kuntal Ghosh
Demystifying Galaxy Classification: An Elegant and Powerful Hybrid Approach, Ankita Sarkar, Sarbani Palit, and Ujjwal Bhattacharya
Designing Full-Rate Sponge Based AEAD Modes, Bishwajit Chakraborty, Nilanjan Datta, and Mridul Nandi
Determinants vs. Algebraic Branching Programs, Abhranil Chatterjee, Mrinal Kumar, and Ben Lee Volk
Deterministic Way of Designing Sensing Matrix, Rekha, Santosh Singh, and S. K. Neogy
Diabetic Retinopathy Detection Using Amalgamated Deep Learning Algorithm, E. M.N. Sharmila, R. Suchitra, and M. Krishnamurthy
Digital Twin Technology for River Basin Management: A Framework for Proactive Flood Mitigation and Water Resource Optimization, Subhra Mullick, Pushan Kumar Dutta, Pronaya Bhattacharya, and El Sayed M. El-Kenawy
Distributed Graph Computations via Mobile Robots, Prabhat Kumar Chand and Anisur Rahaman Molla
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes, Alloy Das, Sanket Biswas, Umapada Pal, and Josep Lladós
DOST—Domain Obedient Self-supervision for Trustworthy Multi Label Classification with Noisy Labels, Soumadeep Saha, Utpal Garain, Arijit Ukil, Arpan Pal, and Sundeep Khandelwal
DRL-based Multi-Stream Scheduling of Inference Pipelines on Edge Devices, Danny Pereria, Sumana Ghosh, and Soumyajit Dey
Efficient Grading of Prostate Cancer WSI with Deep Learning, Riddhasree Bhattacharyya, Paromita Roy, Sugata Banerji, and Sushmita Mitra
Enhancing Martian Mineral Identification Using an Artificial Neural Network With Extracted Spectral Features In CRISM MTRDR Data, Priyanka Kumari, Sampriti Soor, Amba Shetty, and B. S. Daya Sagar
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers, Arindam Majee, Avisek Gupta, Sourav Raha, and Swagatam Das
Equivalence Testing: The Power of Bounded Adaptivity, Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar, and Kuldeep S. Meel
Exploring Green AI for Audio Deepfake Detection, Subhajit Saha, Md Sahidullah, and Swagatam Das
Fault Testing in AI-Accelerators: A Review, Bhargab B. Bhattacharya, Debesh K. Das, Subhajit Chatterjee, and Hafizur Rahaman
Free Lunch: Frame-level Contrastive Learning with Text Perceiver for Robust Scene Text Recognition in Lightweight Models, Hongjian Zhan, Yangfu Li, Yu Jie Xiong, Umapada Pal, and Yue Lu
Geometric Covering Number: Covering Points with Curves, Arijit Bishnu, Mathew Francis, and Pritam Majumder
Geometric covering via extraction Theorem, Sayan Bandyapadhyay, Anil Maheshwari, Sasanka Roy, Michiel Smid, and Kasturi Varadarajan
GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation, Ayan Banerjee, Sanket Biswas, Josep Lladós, and Umapada Pal