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Creators/Authors contains: "Zalatan, Benjamin"

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Learning to predict rare events: the case of abnormal grain growth

https://doi.org/10.1038/s41524-025-01530-8

Zhou, Houliang; Zalatan, Benjamin; Stanescu, Joan; Harmer, Martin_P; Rickman, Jeffrey_M; He, Lifang; Marvel, Christopher_J; Chen, Brian_Y (March 2025, npj Computational Materials)
Physics-informed Machine Learning for Deep Ice Layer Tracing in SAR images

https://doi.org/10.1109/IGARSS53475.2024.10641831

Rahnemoonfar, Maryam; Zalatan, Benjamin (July 2024, IEEE)

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Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks

https://doi.org/10.1109/ICIP49359.2023.10222391

Zalatan, Benjamin; Rahnemoonfar, Maryam (October 2023, IEEE)

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Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach

https://doi.org/10.1109/IGARSS52108.2023.10283236

Zalatan, Benjamin; Rahnemoonfar, Maryam (July 2023, IEEE)

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Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar

https://doi.org/10.1109/RadarConf2351548.2023.10149562

Zalatan, Benjamin; Rahnemoonfar, Maryam (January 2023, 2023 IEEE Radar Conference (RadarConf23))

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Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer’s Disease Prediction

https://doi.org/10.1109/BIBM55620.2022.9995078

Yu, Jun; Zalatan, Benjamin; Chen, Yong; Shen, Li; He, Lifang (December 2022, IEEE)

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