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Juan Nathaniel
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 5
Top Topics
Origin Destination
Robust Estimation
Context Aware Preferences
Network Model
Top Venues
CoRR
IEEE BigData
IGARSS
Big Data
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Publications
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Juan Nathaniel
,
Yongquan Qu
,
Tung Nguyen
,
Sungduk Yu
,
Julius Busecke
,
Aditya Grover
,
Pierre Gentine
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction.
CoRR
(2024)
Juan Nathaniel
,
Gabrielle Nyirjesy
,
Campbell D. Watson
,
Conrad M. Albrecht
,
Levente J. Klein
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network.
IGARSS
(2023)
Ademir Ferreira da Silva
,
Juan Nathaniel
,
Ken C. L. Wong
,
Campbell D. Watson
,
Hongzhi Wang
,
Jitendra Singh
,
Alexandre Alkmim Chamon
,
Levente J. Klein
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration.
Big Data
(2022)
Juan Nathaniel
,
Levente J. Klein
,
Campbell D. Watson
,
Gabrielle Nyirjesy
,
Conrad M. Albrecht
Aboveground carbon biomass estimate with Physics-informed deep network.
CoRR
(2022)
Juan Nathaniel
,
Baihua Zheng
Context-Aware Graph Convolutional Network for Dynamic Origin-Destination Prediction.
IEEE BigData
(2021)