activity
20172022
most citedA modular framework for extreme weather generation

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20221 cited

Causal Modeling of Soil Processes for Improved Generalization

Somya Sharma, Swati Sharma, Andy Neal +5

Measuring and monitoring soil organic carbon is critical for agricultural productivity and for addressing critical environmental problems. Soil organic carbon not only enriches nut…

cs.LG20221 cited

Wildfire risk forecast: An optimizable fire danger index

Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson

Wildfire events have caused severe losses in many places around the world and are expected to increase with climate change. Throughout the years many technologies have been develop…

cs.LG2021

Decadal Forecasts with ResDMD: a Residual DMD Neural Network

Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson +1

Operational forecasting centers are investing in decadal (1-10 year) forecast systems to support long-term decision making for a more climate-resilient society. One method that has…

cs.LG20217 cited

A modular framework for extreme weather generation

Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman +4

Extreme weather events have an enormous impact on society and are expected to become more frequent and severe with climate change. In this context, resilience planning becomes cruc…

cs.DC20172 cited

Run Time Prediction for Big Data Iterative ML Algorithms: a KMeans case study

Eduardo Rodrigues, Ricardo Morla

Data science and machine learning algorithms running on big data infrastructure are increasingly important in activities ranging from business intelligence and analytics to cyberse…