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Frontiers in Big Data|March 11, 2021
Robust Machine Learning for Colorectal Cancer Risk Prediction and StratificationBradley J Nartowt, Gregory R Hart, Wazir Muhammad, et al.Frontiers in Big Data|March 11, 2021
Leveraging Big Data and Analytics to Improve Food, Energy, and Water System SustainabilityJoshua Pitts, Sucharita Gopal, Yaxiong Ma, et al.Frontiers in Big Data|March 11, 2021
Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social ScienceJason Radford, Kenneth JosephFrontiers in Big Data|March 11, 2021
Reducing Annotation Burden Through Multimodal LearningKevin Lopez, Samah J Fodeh, Ahmed Allam, et al.Frontiers in Big Data|March 11, 2021
Statistical Disease Progression Modeling in Alzheimer DiseaseLars Lau RaketFrontiers in Big Data|March 11, 2021
Considerations for a More Ethical Approach to Data in AI: On Data Representation and InfrastructureAlice Baird, Björn SchullerFrontiers in Big Data|March 11, 2021
Novel Criteria for When and How to Exit a COVID-19 Pandemic LockdownChenyu Li, Paola Romagnani, Hans-Joachim AndersFrontiers in Big Data|March 11, 2021
LocationSpark: In-memory Distributed Spatial Query Processing and OptimizationMingjie Tang, Yongyang Yu, Ahmed R Mahmood, et al.Frontiers in Big Data|March 11, 2021
Perspective: Acknowledging Data Work in the Social Media Research LifecycleKatharina E Kinder-Kurlanda, Katrin WellerFrontiers in Big Data|March 11, 2021
Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal ModelsNikolaus Poechhacker, Severin KaciankaPageof 72