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09/19/2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
Machine learning and deep learning methods have been widely explored in ...
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07/06/2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts
Information systems increasingly leverage artificial intelligence (AI) a...
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06/27/2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
While semantic segmentation has seen tremendous improvements in the past...
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04/18/2023
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making
In AI-assisted decision-making, a central promise of putting a human in ...
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04/14/2023
Learning to Defer with Limited Expert Predictions
Recent research suggests that combining AI models with a human expert ca...
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01/23/2023
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation
Climate change results in an increased probability of extreme weather ev...
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12/22/2022
Data-centric Artificial Intelligence
Data-centric artificial intelligence (data-centric AI) represents an eme...
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08/08/2022
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
In this work, we empirically examine human-AI decision-making in the pre...
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07/14/2022
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning
Business analytics and machine learning have become essential success fa...
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06/16/2022
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Machine learning (ML) models are increasingly being used in application ...
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02/08/2021