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1st DaSH@KDD 2020: Virtual Event
- Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic:
1st Workshop on Data Science with Human in the Loop, DaSH@KDD 2020, San Diego, California, USA, August 24, 2020. 2020
Human-in-the-Loop Techniques
- Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller:
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation. - Kun Qian, Lucian Popa, Yunyao Li:
An Intuitive User Interface for Human-in-the-loop Entity Name Parsing and Entity Variant Generation. - Eric Bunch, Qian You, Glenn Fung:
Human-In-The-Loop Topic Discovery with Embedded Text Representations. - Teja Kanchinadam, Keith Westpfahl, Qian You, Glenn Fung:
Rationale-based Human-in-the-Loop via Supervised Attention.
Model Analysis and Applications
- Maeda F. Hanafi, Azza Abouzied, Marina Danilevsky, Yunyao Li:
WhyFlow: Explaining Errors in Data Flows Interactively. - Nikolaos Lagos, José Miguel Pérez-Álvarez, Michel Langlais, Adrian Mos:
Towards a What-If System for Point-Of-Interest Categorisation. - Subhajit Das, Florina Dutt:
InMacs: Interactive modeling and comparison of sentiments from sequence data. - Hamsa Shwetha Venkataram, Ian Colwell, Steven Liu, Philip Southam, Chris Mattmann, Tom Söderström:
Names Don't Fly: Smart Filters for Profanity Detection and Classification in User-Generated Content.
Impact of Data Science and Automation
- Josh Andres, Christine T. Wolf, Michael J. Muller, Justin D. Weisz
, Narendra Nath Joshi, Aabhas Sharma, Krissy Brimijoin, Michael Desmond, Zahra Ashktorab, Qian Pan, Evelyn Duesterwald, Casey Dugan:
Cultivating Human Expertise Through AI-Assisted Data Science. - Justin D. Weisz, Michael J. Muller:
The Next Decade of Data Science. - Diarmuid Cahalane, Patrick Connolly, Andrew Dalton, Bogdan Saceleanu, Medb Corcoran:
Data Scientists and Designers Can Create The Jobs of The Future. - Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan:
IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models.
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