2 citations · 5 across the 4 of their papers we have counts for
4 papers
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
Prajit Sengupta, Islem Rekik
Medical image classification requires not only high predictive performance but also interpretability to ensure clinical trust and adoption. Graph Neural Networks (GNNs) offer a pow…
X-Node: Self-Explanation is All We Need
Prajit Sengupta, Islem Rekik
Graph neural networks (GNNs) have achieved state-of-the-art results in computer vision and medical image classification tasks by capturing structural dependencies across data insta…
Predictive Maintenance of Armoured Vehicles using Machine Learning Approaches
Prajit Sengupta, Anant Mehta, Prashant Singh Rana
Armoured vehicles are specialized and complex pieces of machinery designed to operate in high-stress environments, often in combat or tactical situations. This study proposes a pre…
Benchmarking the Effectiveness of Classification Algorithms and SVM Kernels for Dry Beans
Anant Mehta, Prajit Sengupta, Divisha Garg +2
Plant breeders and agricultural researchers can increase crop productivity by identifying desirable features, disease resistance, and nutritional content by analysing the Dry Bean…