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Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
Automated Machine Learning (AutoML) is a rapidly growing set of technolo...
04/09/2021 ∙ by Shweta Narkar, et al. ∙
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Perfection Not Required? Human-AI Partnerships in Code Translation
Generative models have become adept at producing artifacts such as image...
04/08/2021 ∙ by Justin D. Weisz, et al. ∙
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Themisto: Towards Automated Documentation Generation in Computational Notebooks
Computational notebooks allow data scientists to express their ideas thr...
02/24/2021 ∙ by April Yi Wang, et al. ∙
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Expanding Explainability: Towards Social Transparency in AI systems
As AI-powered systems increasingly mediate consequential decision-making...
01/12/2021 ∙ by Upol Ehsan, et al. ∙
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Quality Estimation Interpretability for Code Translation
Recently, the automated translation of source code from one programming ...
12/04/2020 ∙ by Mayank Agarwal, et al. ∙
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Do's and Don'ts for Human and Digital Worker Integration
Robotic process automation (RPA) and its next evolutionary stage, intell...
10/15/2020 ∙ by Vinod Muthusamy, et al. ∙
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AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates
Artificial Intelligence (AI) can now automate the algorithm selection, f...
12/13/2019 ∙ by Daniel Karl I. Weidele, et al. ∙
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In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes
Many decision-making processes have begun to incorporate an AI element, ...
12/05/2019 ∙ by Maryam Ashoori, et al. ∙
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Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
The rapid advancement of artificial intelligence (AI) is changing our li...
09/05/2019 ∙ by Dakuo Wang, et al. ∙
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CardKit: A Card-Based Programming Framework for Drones
Drones are being used in many industries for a variety of applications, ...
04/23/2018 ∙ by Saad Ismail, et al. ∙
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