5 citations · 16 across the 15 of their papers we have counts for
17 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…
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…
From Field Data to Global Food Systems Intelligence: A Semantic Graph Framework for Sustainable Wheat Production
Nirmal Gelal, Aastha Gautam, Soheil Abadifard +15
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…
Accelerating Knowledge Graph and Ontology Engineering with Large Language Models
Cogan Shimizu, Pascal Hitzler
Large Language Models bear the promise of significant acceleration of key Knowledge Graph and Ontology Engineering tasks, including ontology modeling, extension, modification, popu…
Ontology Population using LLMs
Sanaz Saki Norouzi, Adrita Barua, Antrea Christou +4
Knowledge graphs (KGs) are increasingly utilized for data integration, representation, and visualization. While KG population is critical, it is often costly, especially when data…
Knowledge in Triples for LLMs: Enhancing Table QA Accuracy with Semantic Extraction
Hossein Sholehrasa, Sanaz Saki Norouzi, Pascal Hitzler +1
Integrating structured knowledge from tabular formats poses significant challenges within natural language processing (NLP), mainly when dealing with complex, semi-structured table…
The S2 Hierarchical Discrete Global Grid as a Nexus for Data Representation, Integration, and Querying Across Geospatial Knowledge Graphs
Shirly Stephen, Mitchell Faulk, Krzysztof Janowicz +10
Geospatial Knowledge Graphs (GeoKGs) have become integral to the growing field of Geospatial Artificial Intelligence. Initiatives like the U.S. National Science Foundation's Open K…
The KnowWhereGraph Ontology
Cogan Shimizu, Shirly Stephe, Adrita Barua +21
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate…
ConceptLens: from Pixels to Understanding
Abhilekha Dalal, Pascal Hitzler
ConceptLens is an innovative tool designed to illuminate the intricate workings of deep neural networks (DNNs) by visualizing hidden neuron activations. By integrating deep learnin…
They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models
Mohammad Saeid Mahdavinejad, Peyman Adibi, Amirhassan Monadjemi +1
Depression is a common mental health issue that requires prompt diagnosis and treatment. Despite the promise of social media data for depression detection, the opacity of employed…
Error-margin Analysis for Hidden Neuron Activation Labels
Abhilekha Dalal, Rushrukh Rayan, Pascal Hitzler
Understanding how high-level concepts are represented within artificial neural networks is a fundamental challenge in the field of artificial intelligence. While existing literatur…
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
Abhilekha Dalal, Rushrukh Rayan, Adrita Barua +3
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would help answer the question of what a deep learning syst…
Towards Complex Ontology Alignment using Large Language Models
Reihaneh Amini, Sanaz Saki Norouzi, Pascal Hitzler +1
Ontology alignment, a critical process in the Semantic Web for detecting relationships between different ontologies, has traditionally focused on identifying so-called "simple" 1-t…
Commonsense Ontology Micropatterns
Andrew Eells, Brandon Dave, Pascal Hitzler +1
The previously introduced Modular Ontology Modeling methodology (MOMo) attempts to mimic the human analogical process by using modular patterns to assemble more complex concepts. T…
On the Psychology of GPT-4: Moderately anxious, slightly masculine, honest, and humble
Adrita Barua, Gary Brase, Ke Dong +2
We subject GPT-4 to a number of rigorous psychometric tests and analyze the results. We find that, compared to the average human, GPT-4 tends to show more honesty and humility, and…