382 citations · 1.2k across the 41 of their papers we have counts for
5 papers · 1 filter
Reconciling Security and Utility in Next-Generation Epidemic Risk Mitigation Systems
Pierfrancesco Ingo, Nichole Boufford, Ming Cheng Jiang +8
Epidemics like the recent COVID-19 require proactive contact tracing and epidemiological analysis to predict and subsequently contain infection transmissions. The proactive measure…
Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively
Utkarsh Upadhyay, Graham Lancashire, Christoph Moser +1
Machine learning has typically focused on developing models and algorithms that would ultimately replace humans at tasks where intelligence is required. In this work, rather than r…
Classification Under Human Assistance
Abir De, Nastaran Okati, Ali Zarezade +1
Most supervised learning models are trained for full automation. However, their predictions are sometimes worse than those by human experts on some specific instances. Motivated by…
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots
Lars Lorch, Heiner Kremer, William Trouleau +4
Multiple lines of evidence strongly suggest that infection hotspots, where a single individual infects many others, play a key role in the transmission dynamics of COVID-19. Howeve…
Decisions, Counterfactual Explanations and Strategic Behavior
Stratis Tsirtsis, Manuel Gomez-Rodriguez
As data-driven predictive models are increasingly used to inform decisions, it has been argued that decision makers should provide explanations that help individuals understand wha…