3 papers
cs.CV2026
Do CNNs Internally Represent Real and Fake Images Differently? A Hidden-Layer Analysis
Moumita Sen Sarma, Pascal Hitzler, Eugene Y. Vasserman
Fake/synthetic images are increasingly prevalent, but it remains unclear whether Convolutional Neural Networks (CNNs) process real and fake images in the same internal manner. This…
cs.CV2026
A Case Study on Concept Induction for Neuron-Level Interpretability in CNN
Moumita Sen Sarma, Samatha Ereshi Akkamahadevi, Pascal Hitzler
Deep Neural Networks (DNNs) have advanced applications in domains such as healthcare, autonomous systems, and scene understanding, yet the internal semantics of their hidden neuron…
cs.AI2025
From Field Data to Global Food Systems Intelligence: A Semantic Graph Framework for Sustainable Wheat Production
Nirmal Gelal, Aastha Gautam, Soheil Abadifard +17
In response to the growing need for structured, interoperable agricultural data, this paper presents the Sustainable Wheat Production Datahub, a modular, graph-based framework that…