| UCI machine learning repository D Dua, C Graff | 9024 | 2017 |
| UCI machine learning repository, 2017 D Dua, C Graff URL http://archive. ics. uci. edu/ml 7 (1), 62, 2017 | 2963 | 2017 |
| UCI machine learning repository. University of California, School of Information and Computer Science, Irvine, CA D Dua, C Graff | 232 | 2019 |
| Improving plankton image classification using context metadata JS Ellen, CA Graff, MD Ohman Limnology and Oceanography: Methods 17 (8), 439-461, 2019 | 98 | 2019 |
| UCI machine learning repository [http://archive. ics. uci. edu/ml]. Irvine, CA: University of California, School of Information and Computer Science D Dua, C Graff IEEE transactions on pattern analysis and machine intelligence 1 (1), 1-29, 2019 | 61 | 2019 |
| Machine learning to predict final fire size at the time of ignition SR Coffield, CA Graff, Y Chen, P Smyth, E Foufoula-Georgiou, ... International journal of wildland fire 28 (11), 861-873, 2019 | 52 | 2019 |
| Machine learning repository D Dua, C Graff University of California, Irvine, School of Information and Computer …, 2017 | 51 | 2017 |
| Forecasting daily wildfire activity using poisson regression CA Graff, SR Coffield, Y Chen, E Foufoula-Georgiou, JT Randerson, ... IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4837-4851, 2020 | 29 | 2020 |
| California wildfire spread derived using VIIRS satellite observations and an object-based tracking system Y Chen, S Hantson, N Andela, SR Coffield, CA Graff, DC Morton, LE Ott, ... Scientific data 9 (1), 249, 2022 | 25 | 2022 |
| Forecasting global fire emissions on subseasonal to seasonal (S2S) time scales Y Chen, JT Randerson, SR Coffield, E Foufoula‐Georgiou, P Smyth, ... Journal of Advances in Modeling Earth Systems 12 (9), e2019MS001955, 2020 | 13 | 2020 |
| Correlating filter diversity with convolutional neural network accuracy CA Graff, J Ellen 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 7 | 2016 |
| Projecting future wildfire risk in California from changing climate and vegetation composition S Coffield, JA Wang, V Bhoot, C Graff, E Foufoula-Georgiou, P Smyth, ... AGU Fall Meeting Abstracts 2022, B52J-0984, 2022 | | 2022 |
| Machine learning and artificial intelligence for wildfire prediction JT Randerson, EF Georgiou, P Smyth, Y Chen, S Coffield, C Graff, ... Univ. of California, Irvine, CA (United States); Univ. of California, Los …, 2021 | | 2021 |
| Developing an object-oriented near-real time fire tracking system using VIIRS active fire detections Y Chen, S Coffield, S Hantson, C Graff, N Andela, DC Morton, LE Ott, ... AGU Fall Meeting Abstracts 2020, A202-07, 2020 | | 2020 |
| Building a global forecast system for fire carbon emissions: Toward a framework that integrates remote ocean and local climate information in a time series model Y Chen, JT Randerson, E Foufoula-Georgiou, P Smyth, C Graff, ... AGU Fall Meeting Abstracts 2019, GC13B-05, 2019 | | 2019 |
