1 citations · 2 across the 19 of their papers we have counts for
6 papers · 1 filter
Causal Analysis of Failures of Cyber-Physical Systems with Continuous Inputs
Tom Yaacov, David A. Kelly, Khen Elimelech +1
Modern autonomous Cyber-Physical Systems (CPSs), such as self-driving cars, operate in increasingly complex environments while expected to maintain high reliability. The black-box…
Causal Explanations of Process Monitor Predictions
Tom Yaacov, Nathan Blake, Hana Chockler
Process mining is widely used to diagnose processes and identify performance and compliance issues. Specifically, Predictive Process Monitoring (PPM) techniques use AI models to pr…
Generating Medical Image Counterfactuals using Causal Explanations
David A. Kelly, Tom Yaacov, Nathan Blake +2
Deep learning models have achieved impressive performance in medical image diagnosis, yet their deployment in clinical settings remains constrained by limited explainability. Count…
Explaining Failures of Cyber-Physical Systems with Actual Causality
Khen Elimelech, Tom Yaacov, David A. Kelly +2
Modern autonomous Cyber-Physical Systems (CPSs), such as self-driving cars, face increasingly complex demands, and yet are expected to act reliably. The black-box nature often char…
If It's Good Enough for You, It's Good Enough for Me: Transferability of Audio Sufficiencies across Models
David A. Kelly, Hana Chockler
In order to gain fresh insights about the information processing characteristics of different audio classification models, we propose transferability analysis. Given a minimal, suf…
I Guess That's Why They Call it the Blues: Causal Analysis for Audio Classifiers
David A. Kelly, Hana Chockler
It is well-known that audio classifiers often rely on non-musically relevant features and spurious correlations to classify audio. Hence audio classifiers are easy to manipulate or…