Ashley S. Dale
Orcid: 0000-0001-8233-5258
According to our database1,
Ashley S. Dale authored at least 9 papers
between 2018 and 2026.
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Bibliography
2026
2025
Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores.
CoRR, December, 2025
When Active Learning Fails, Uncalibrated Out of Distribution Uncertainty Quantification Might Be the Problem.
CoRR, November, 2025
2024
Direct Adversarial Latent Estimation to Evaluate Decision Boundary Complexity in Black Box Models.
IEEE Trans. Artif. Intell., December, 2024
Towards Predicting the Success of Transfer-based Attacks by Quantifying Shared Feature Representations.
CoRR, 2024
2023
All patched up: effective integration of real and synthetic features into a single image for object detection.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023
2022
CNN-based network has Network Anisotropy -work harder to learn rotated feature than non-rotated feature.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022
2018
Engineering and Informatics Student Multidisciplinary Learning using 3D Visualization and 3D Display of Radio Frequency (RF) Concepts.
Proceedings of the IEEE Frontiers in Education Conference, 2018