3 papers
cs.LG2026
Meta-learning to Address Data Shift in Time Series Classification
Samuel Myren, Nidhi Parikh, Natalie Klein
Across engineering and scientific domains, traditional deep learning (TDL) models perform well when training and test data share the same distribution. However, the dynamic nature…
cs.HC2025
The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems
Scott T Steinmetz, Asmeret Naugle, Paul Schutte +6
Recent proliferation of powerful AI systems has created a strong need for capabilities that help users to calibrate trust in those systems. As AI systems grow in scale, information…
cs.LG2025
Evaluation of Seismic Artificial Intelligence with Uncertainty
Samuel Myren, Nidhi Parikh, Rosalyn Rael +3
Artificial intelligence has transformed the seismic community with deep learning models (DLMs) that are trained to complete specific tasks within workflows. However, there is still…