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ACM KDD Workshop on Knowledge-infused Mining and Learning

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Proceedings of KDD KiML’20: https://aiisc.ai/KiML2020/Workshop_Proceedings.pdf
#KIML2020 #KDD2020

This workshop focused on Qualitative and Quantitative approaches to understanding data in the social good sphere using prior knowledge, to address challenges like:
(A) Modeling human behavior during the crisis,
(B) Developing models for extracting relevant information in the absence of ground truth
(C) Mining intrinsic features and relationships in clinical, healthcare, or crisis data
(D) Interpretability and Accountability of the model outcomes.

Some of the topics relating to methods and applications discussed during the workshop, spans:

Topic Modeling, Spatiotemporal-thematic Analysis, Transfer Learning, Healthcare, Crisis Management, Generative Adversarial Networks, Knowledge Intensive Learning, Socio-behavioral theories, COVID19, Applied Computing, Feature Elicitations, Interpretability, Cross-linguality, Social Computing

Details on the Workshop: https://aiisc.ai/KiML2020/
Workshop Accepted Papers: https://aiisc.ai/KiML2020/acceptedpapers.html
Keynote Speakers: https://aiisc.ai/KiML2020/speakers.html

Publié dans : Ingénierie
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ACM KDD Workshop on Knowledge-infused Mining and Learning

  1. 1. Spread the word! Tweet, post on LinkedIn your insights, screenshots, and questions #KiML2020 #KDD2020 #KnowledgeinfusedLearning http://kiml2020.aiisc.ai/
  2. 2. 2 2020:https://www.preventionweb.net/events/view/72107 ?id=72107
  3. 3. WELCOME 3 This workshop focuses on Qualitative and Quantitative approaches to understanding data in the social good sphere using prior knowledge, to address challenges like: ❏ Modeling human behavior during the crisis ❏ Developing models for extracting relevant information in the absence of ground truth ❏ Mining intrinsic features and relationships in clinical, healthcare, or crisis data ❏ Interpretability and Accountability of the model outcomes
  4. 4. 4 Organizers Manas Gaur @manasgaur90 AI Institute, UofSC Alex Jaimes @tinybigdata Dataminr Inc Fatma Özcan IBM Research Srinivasan Parthasarathy Ohio State Sameena Shah @sameenashah_AI JP Morgan AI Amit Sheth @amit_p AI Institute, UofSC Biplav Srivastava @biplav_s AI Institute, UofSC #KiML2020
  5. 5. Workshop Stats 46% Full Papers: 3 Accepted: 2 5 Short Papers: 7 Accepted: 4 Position Papers: 3 Accepted: 1 Invited Papers: 1 #KiML2020
  6. 6. Workshop Schedule (EDT) 6 11:00 AM Keynote 1: Dr. Manuela Veloso 11:35 AM Keynote 2: Dr. Sriraam Natarajan 12:10 PM 12:15 PM Paper Sessions 1:00 PM 1:05 PM Keynote 3: Dr. Jose Luis Ambite 1:40 PM Keynote 4: Dr. Pieter De Leenheer 2:15 PM 1:40 PM Paper Sessions 2:50 PM #KiML2020
  7. 7. Dr. Manuela Veloso ❏ Head of J.P. Morgan AI Research & Herbert A. Simon University Professor and Head of ML Department, Carnegie Mellon University ❏ Past President of AAAI ❏ Research Focus: ❏ Financial Services ❏ Data Mining and Cryptography ❏ Robotics and Machine Learning ❏ Explainability and Human-AI Interaction ❏ Awards: ❏ Co-Founder, Trustee, and Past President of RoboCup ❏ Allen Newell Medal for Excellence in Research ❏ Einstein Chair of the Chinese Academy of Science ❏ Fellow of ACM, AAAS, AAAI and IEEE 7 #KiML2020
  8. 8. Dr. Sriraam Natarajan ❏ Associate Professor & Director of the Center for ML at The University of Texas at Dallas ❏ Research Focus: ❏ Artificial Intelligence ❏ Statistical Relational Learning ❏ Reinforcement Learning ❏ Graphical Models ❏ Biomedical Applications ❏ Awards: ❏ US Army Research Office: Young Investigator Award ❏ Amazon, Intel, Xerox, and Verisk Faculty Research Award ❏ Co-Chair of SDM 2020 and Editorial Board Member of JAIR and DAMI journals. 8 #KiML2020
  9. 9. Coffee Break!! Tweet your impressions with #KiML2020 #KDD2020 #KnowledgeinfusedLearning #KiML2020
  10. 10. WS : Paper Session 1 10 12:15 PM Textual Evidence for the Perfunctoriness of Independent Medical Reviews Adrian Brasoveanu, Megan Moodie and Rakshit Agrawal 12:30 PM Knowledge Intensive Learning of Generative Adversarial Networks Devendra Dhami, Mayukh Das and Sriraam Natarajan 12:40 PM Cost Aware Feature Elicitation Srijita Das, Rishabh Iyer and Sriraam Natarajan 12:50 PM Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets Jitin Krishnan, Hemant Purohit, Huzefa Rangwala #KiML2020
  11. 11. Coffee Break!! Tweet your impressions with #KiML2020 #KDD2020 #KnowledgeinfusedLearning #KiML2020
  12. 12. Dr. Jose Luis Ambite ❏ Associate Research Professor, University of Southern California ❏ Research Team Leader, Information Sciences Institute, University of Southern California ❏ Research Focus: ❏ Information Integration ❏ Knowledge Representation, Semantic Web ❏ Scientific Workflows, Biomedical Data Science ❏ NIH-funded Projects: ❏ NIMH Repository and Genetics Resource ❏ SchizConnect ❏ Population Architecture using Genomics and Epidemiology ❏ Education Resource Discovery Index 12 #KiML2020
  13. 13. Dr. Pieter De Leenheer 13 ❏ Senior Research Fellow at Harvard Business School & Adjunct Faculty at Columbia University ❏ Co-Founder of Collibra Inc. ❏ Research Focus ❏ Community-based Ontology Management ❏ Management Aspect of: ❏ Data Innovation ❏ Data Accountability ❏ Data Citizenship ❏ Advisor to European Commission and several startups (such as Gluetech.com, Yesse.tech) #KiML2020
  14. 14. Coffee Break!! Tweet your impressions with #KiML2020 #KDD2020 #KnowledgeinfusedLearning #KiML2020
  15. 15. WS : Paper Session 2 (EDT) 15 2:20 PM A New Delay Differential Equation Model for COVID-19 B Shayak, Mohit Manoj Sharma 2:30 PM Public Health Implications of a delay differential equation model for COVID19 Mohit Manoj Sharma and B Shayak 2:40 PM Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak Amanuel Alambo, Manas Gaur and Krishnaprasad Thirunarayan 2:50 PM Q/A Session #KiML2020
  16. 16. 16 Closing ❏ Papers online at : https://aiisc.ai/KiML2020/acceptedpapers.html ❏ Proceedings online at: https://aiisc.ai/KiML2020/Workshop_Proceedings.pdf (the proceedings will be indexed with CEUR-WS) ❏ Connect with the authors and keynotes: https://aiisc.ai/KiML2020/program.html #KiML2020
  17. 17. 17 Program Committee❏ Nitin Agarwal (University of Arkansas) ❏ Amanuel Alambo (Wright State University) ❏ Shreyansh Bhatt (Amazon) ❏ Vasilis Efthymiou (IBM Research) ❏ Utkarshani Jaimini (AI Institute, University of South Carolina) ❏ Ugur Kurșuncu (AI Institute, University of South Carolina) ❏ Sarasi Lalithsena (IBM Watson) ❏ Chuan Lei (IBM Research) ❏ Quanzhi Li (Alibaba Group) ❏ Xiaomo Liu (S&P Global Ratings) ❏ Yong Liu (Outreach.io) ❏ Raghava Mutharaju (IIIT Delhi) ❏ Arindam Pal (Data61, CSIRO) ❏ Sujan Perera (Amazon) ❏ Hemant Purohit (George Mason University) ❏ Kaushik Roy (AI Institute, University of South Carolina) ❏ Valerie Shalin (Wright State University) ❏ Kai Shu (Arizona State University) ❏ Nikhita Vedula (Ohio State University) ❏ Ruwan Wickramarachchi (AI Institute, University of South Carolina) ❏ Ke Zhang (Dataminr Inc.) ❏ Jinjin Zhao (Amazon) #KiML2020
  18. 18. Feedback to Organizer ❏ Manas Gaur (mgaur@email.sc.edu) ❏ Alejandro (Alex) Jaimes (ajaimes@dataminr.com) ❏ Fatma Özcan (fozcan@us.ibm.com) ❏ Srinivasan Parthasarathy (srini@cse.ohio-state.edu) ❏ Sameena Shah (sameena.shah@jpmchase.com) ❏ Amit Sheth (amit@sc.edu) ❏ Biplav Srivastava (biplav.s@sc.edu) 18 #KiML2020
  19. 19. 19 Thanks!Any questions? #KiML2020

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