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07/29/2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Explanations have gained an increasing level of interest in the AI and M...
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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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06/15/2020
User Profiling from Reviews for Accurate Time-Based Recommendations
Recommender systems are a valuable way to engage users in a system, incr...
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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
An Evaluation Framework for Interactive Recommender System
Traditional recommender systems present a relatively static list of reco...
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02/02/2019
Generating Dialogue Agents via Automated Planning
Dialogue systems have many applications such as customer support or ques...
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06/01/2017