You Only Explain Once. - David A. Kelly; Hana Chockler; Daniel Kroening; Nathan Blake; Aditi Ramaswamy; Melane Navaratnarajah; Aaditya Shivakumar (CoRR, 2023)

MRxaI: Black-Box Explainability for Image Classifiers in a Medical Setting. - Nathan Blake; Hana Chockler; David A. Kelly; Santiago Calderon Pena; Akchunya Chanchal (CoRR, 2023)

Explaining Negative Classifications of AI Models in Tumor Diagnosis. - David A. Kelly; Hana Chockler; Nathan Blake (UAI, 2025)

3D ReX: Causal Explanations in 3D Neuroimaging Classification. - Melane Navaratnarajah; Sophie A. Martin; David A. Kelly; Nathan Blake; Hana Chockler (CoRR, 2025)

SpecReX: Explainable AI for Raman Spectroscopy. - Nathan Blake; David A. Kelly; Akchunya Chanchal; Sarah Kapllani-Mucaj; Geraint Thomas; Hana Chockler (CoRR, 2025)

I Am Big, You Are Little; I Am Right, You Are Wrong. - David A. Kelly; Akchunya Chanchal; Nathan Blake (CoRR, 2025)