Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
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Updated
Jan 31, 2023 - Python
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
Robust regression algorithm that can be used for explaining black box models (R implementation)
Robust regression algorithm that can be used for explaining black box models (Python implementation)
A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017
Codebase for CIKM '24 paper -- PARs: Predicate-based Association Rules for Efficient and Accurate (Model-Agnostic) Anomaly Explanation
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
Post-host prototype-based explanations with rules for time-series classifiers
A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers
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