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Vol-2657
urn:nbn:de:0074-2657-5
Copyright © 2020 for
the individual papers by the papers' authors.
Copyright © 2020 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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KiML2020
ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact (KiML2020)
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact
co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020)
San Diego, California, USA, August 24, 2020.
Edited by
*
Artificial Intelligence Institute, University of South Carolina,
Columbia, South Carolina, United States
**
Dataminr Inc.,
New York, New York, United States
***
IBM Research,
Almaden, San Jose, California
****
Ohio State University,
Columbus, Ohio, United States
*****
JP Morgan AI Research,
New York, New York, United States
Table of Contents
Papers
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Textual Evidence for the Perfunctoriness of Independent Medical Reviews
1-9
Adrian Brasoveanu,
Megan Moodie,
Rakshit Agrawal
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Knowledge Intensive Learning of Generative Adversarial Networks
10-16
Devendra Singh Dhami,
Mayukh Das,
Sriraam Natarajan
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Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak
17-22
Amanuel Alambo,
Manas Gaur,
Krishnaprasad Thirunarayan
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Cost Aware Feature Elicitation
23-29
Srijita Das,
Rishabh Iyer,
Sriraam Natarajan
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A New Delay Differential Equation Model for COVID-19
30-34
B Shayak,
Mohit M Sharma,
Manas Gaur
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Public Health Implications of a delay differential equation model for COVID 19
35-42
Mohit M Sharma,
B Shayak
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Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets
43-50
Jitin Krishnan,
Hemant Purohit,
Huzefa Rangwala
We offer a BibTeX file for citing papers of this workshop from LaTeX.
2020-08-24: submitted by Manas Gaur,
metadata incl. bibliographic data published under Creative Commons CC0
2020-08-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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