5 citations · 5 across the 7 of their papers we have counts for
9 papers
Evaluating Contextual Bias in CNN Image Classification: Evidence from Agricultural Benchmark Datasets
Abhilekha Dalal, Michael Okonoda, Eder Martinez +1
Convolutional neural networks (CNNs) are typically evaluated using held-out classification accuracy, an approach that presupposes predictions are based primarily on the intended ob…
Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
Michael Okonoda, Eder Martinez, Abhilekha Dalal +1
Convolutional Neural Networks have shown promising effectiveness in identifying different types of cancer from radiographs. However, the opaque nature of CNNs makes it difficult to…
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…
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…
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…
Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning
Abhilekha Dalal, Md Kamruzzaman Sarker, Adrita Barua +2
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would provide insights into the question of what a deep lea…
Explaining Deep Learning Hidden Neuron Activations using Concept Induction
Abhilekha Dalal, Md Kamruzzaman Sarker, Adrita Barua +1
One of the current key challenges in Explainable AI is in correctly interpreting activations of hidden neurons. It seems evident that accurate interpretations thereof would provide…