5 papers
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…
On the Analogy between Human Brain and LLMs: Spotting Key Neurons in Grammar Perception
Sanaz Saki Norouzi, Mohammad Masjedi, Pascal Hitzler
Artificial Neural Networks, the building blocks of AI, were inspired by the human brain's network of neurons. Over the years, these networks have evolved to replicate the complex c…
An Ontology for Representing Curriculum and Learning Material
Antrea Christou, Chris Davis Jaldi, Joseph Zalewski +3
Educational, learning, and training materials have become extremely commonplace across the Internet. Yet, they frequently remain disconnected from each other, fall into platform si…
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…
The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment
Rui Zhu, Cogan Shimizu, Shirly Stephen +25
Global challenges such as food supply chain disruptions, public health crises, and natural hazard responses require access to and integration of diverse datasets, many of which are…