Greg Lipstein
Publications by Year
Research Areas
CRISPR and Genetic Engineering, Cell Image Analysis Techniques, Climate variability and models, Ionosphere and magnetosphere dynamics, Lung Cancer Diagnosis and Treatment
Most-Cited Works
- → Predicting the future is hard and other lessons from a population time series data science competition(2018)21 cited
- → MagNet—A Data‐Science Competition to Predict Disturbance Storm‐Time Index (Dst) From Solar Wind Data(2023)13 cited
- → Analysis of the first genetic engineering attribution challenge(2022)11 cited
- → Harnessing the Power of the Crowd to Increase Capacity for Data Science in the Social Sector(2016)9 cited
- The Hateful Memes Challenge: Competition Report(2020)
- → Leveraging open science machine learning challenges for data constrained planetary mission instruments(2024)1 cited
- An open machine learning challenge to map urban development and resilience in diverse African cities from aerial imagery(2019)
- → Concept to clinic: An open-innovation crowdsourcing challenge to develop AI-enabled software for lung cancer detection.(2018)