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