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- short-paperOctober 2020
Automatic Gaussian Process Model Retrieval for Big Data
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementPages 1965–1968https://doi.org/10.1145/3340531.3412182Gaussian Process Models (GPMs) are widely regarded as a prominent tool for capturing the inherent characteristics of data. These bayesian machine learning models allow for data analysis tasks such as regression and classification. Usually a process of ...
- research-articleJanuary 2019
Inferring Work Task Automatability from AI Expert Evidence
AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and SocietyPages 485–491https://doi.org/10.1145/3306618.3314247Despite growing alarm about machine learning technologies automating jobs, there is little good evidence on what activities can be automated using such technologies. We contribute the first dataset of its kind by surveying over 150 top academics and ...