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06/10/2023
Interpretable Differencing of Machine Learning Models
Understanding the differences between machine learning (ML) models is of...
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02/19/2023
AutoDOViz: Human-Centered Automation for Decision Optimization
We present AutoDOViz, an interactive user interface for automated decisi...
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11/02/2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Interpretable and explainable machine learning has seen a recent surge o...
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03/28/2022
User Driven Model Adjustment via Boolean Rule Explanations
AI solutions are heavily dependant on the quality and accuracy of the in...
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01/04/2022
FROTE: Feedback Rule-Driven Oversampling for Editing Models
Machine learning models may involve decision boundaries that change over...
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10/03/2019
IRF: Interactive Recommendation through Dialogue
Recent research focuses beyond recommendation accuracy, towards human fa...
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04/16/2019
