27 citations · 30 across the 8 of their papers we have counts for
10 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…
Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI
Sai Teja Erukude, Lior Shamir
While Digital sky surveys provide excellent throughput of image data and can cover a large footprint, their imaging power is normally inferior to that of space-based telescopes. Sp…
GRAZE: Grounded Refinement and Motion-Aware Zero-Shot Event Localization
Syed Ahsan Masud Zaidi, Lior Shamir, William Hsu +2
American football practice generates video at scale, yet the interaction of interest occupies only a brief window of each long, untrimmed clip. Reliable biomechanical analysis, the…
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…
CornViT: A Multi-Stage Convolutional Vision Transformer Framework for Hierarchical Corn Kernel Analysis
Sai Teja Erukude, Jane Mascarenhas, Lior Shamir
Accurate grading of corn kernels is critical for seed certification, directional seeding, and breeding, yet it is still predominantly performed by manual inspection. This work intr…
An open dataset of neural networks for hypernetwork research
David Kurtenbach, Lior Shamir
Despite the transformative potential of AI, the concept of neural networks that can produce other neural networks by generating model weights (hypernetworks) has been largely under…
Galaxy image simplification using Generative AI
Sai Teja Erukude, Lior Shamir
Modern digital sky surveys have been acquiring images of billions of galaxies. While these images often provide sufficient details to analyze the shape of the galaxies, accurate an…
The distribution of galaxy rotation in JWST Advanced Deep Extragalactic Survey
Lior Shamir
JWST provides a view of the Universe never seen before, and specifically fine details of galaxies in deep space. JWST Advanced Deep Extragalactic Survey (JADES) is a deep field sur…
Analysis and prevention of AI-based phishing email attacks
Chibuike Samuel Eze, Lior Shamir
Phishing email attacks are among the most common and most harmful cybersecurity attacks. With the emergence of generative AI, phishing attacks can be based on emails generated auto…
Ideas for Advancing Code Sharing (A Different Kind of Hack Day)
Peter Teuben, Alice Allen, Bruce Berriman +8
How do we as a community encourage the reuse of software for telescope operations, data processing, and calibration? How can we support making codes used in research available for…