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Alberto Todeschini
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Conference and Workshop Papers
- 2022
- [c1]Sean Campos, Devesh Khandelwal, Shwetha C. Nagaraj, Fred Nugen, Alberto Todeschini:
Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations. ACM Multimedia 2022: 7094-7098
Informal and Other Publications
- 2023
- [i7]Rumi Nakagawa, Mary Chau, John Calzaretta, Trevor Keenan, Puya Vahabi, Alberto Todeschini, Maoya Bassiouni, Yanghui Kang:
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT). CoRR abs/2306.13815 (2023) - 2022
- [i6]Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed, Hossein Vahabi, Nathan Nusaputra, Felipe Vergara:
HyperionSolarNet: Solar Panel Detection from Aerial Images. CoRR abs/2201.02107 (2022) - [i5]Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J. Reed, Hossein Vahabi:
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data. CoRR abs/2201.06173 (2022) - [i4]Devesh Khandelwal, Sean Campos, Shwetha Nagaraj, Fred Nugen, Alberto Todeschini:
Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations. CoRR abs/2207.13843 (2022) - [i3]Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J. Reed:
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources. CoRR abs/2208.04246 (2022) - 2021
- [i2]Chitra Agastya, Sirak Ghebremusse, Ian Anderson, Colorado Reed, Hossein Vahabi, Alberto Todeschini:
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery. CoRR abs/2108.05484 (2021) - 2020
- [i1]Weixin Wu, Sonal Thakkar, Will Hawkins, Puya Vahabi, Alberto Todeschini:
High-resolution global irrigation prediction with Sentinel-2 30m data. CoRR abs/2012.07658 (2020)
Coauthor Index
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