Application-Driven Innovation in Machine Learning

26 March 2024

Papers citing "Application-Driven Innovation in Machine Learning"

7 / 7 papers shown

Title
Position: We need responsible, application-driven (RAD) AI research Sarah Hartman Cheng Soon Ong Julia Powles Petra Kuhnert 21 0 0 07 May 2025
Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology A. H. H. Chan Otto Brookes Urs Waldmann Hemal Naik I. Couzin ... Lukas Boesch M. Arandjelovic H. Kühl T. Burghardt Fumihiro Kano 28 0 0 05 May 2025
Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives Hyunho Lee Wenwen Li AI4CE 33 0 0 03 Apr 2025
Improving satellite imagery segmentation using multiple Sentinel-2 revisits Kartik Jindgar Grace W. Lindsay 17 0 0 25 Sep 2024
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries Gabriel Tseng Ruben Cartuyvels Ivan Zvonkov Mirali Purohit David Rolnick Hannah Kerner 66 42 0 27 Apr 2023
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015