Thomas Y. Chen

According to our database, Thomas Y. Chen authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Science Platforms for Heliophysics Data Analysis.

Monica G. Bobra, Will T. Barnes, Thomas Y. Chen, Mark C. M. Cheung, Laura A. Hayes, Jack Ireland, Miho Janvier, Michael S. F. Kirk, James Mason, Stuart Mumford, Paul J. Wright

CoRR, 2023

2022

Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory.

John C. Dorelli, Christopher M. Bard, Thomas Y. Chen, Daniel da Silva, Luiz Fernando Guides dos Santos, Jack Ireland, Michael Kirk, Ryan McGranaghan, Ayris Narock, Teresa Nieves-Chinchilla, Marilia Samara, Menelaos Sarantos, Pete Schuck, Barbara J. Thompson

CoRR, 2022

Interpretable Uncertainty Quantification in AI for HEP.

Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra

CoRR, 2022

Data Science and Machine Learning in Education.

Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis

CoRR, 2022

MonarchNet: Differentiating Monarch Butterflies from Butterflies Species with Similar Phenotypes.

Thomas Y. Chen

CoRR, 2022

Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery.

Thomas Y. Chen

CoRR, 2022

Multi-temporal deep learning-based social media analysis for disaster relief.

Thomas Y. Chen

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

2021

PreDefense: Defending Underserved AI Students and Researchers from Predatory Conferences.

Thomas Y. Chen

Proceedings of the Artificial Intelligence Diversity, Belonging, Equity, and Inclusion, 2021