%0 Journal Article %1 journals/eaai/LeeHLLH21 %A Lee, Yu-Ju %A Hall, David %A Liu, Quan %A Liao, Wen-Wei %A Huang, Ming-Chun %D 2021 %J Eng. Appl. Artif. Intell. %K dblp %P 104233 %T Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques. %U http://dblp.uni-trier.de/db/journals/eaai/eaai101.html#LeeHLLH21 %V 101

@article{journals/eaai/LeeHLLH21, added-at = {2021-04-28T00:00:00.000+0200}, author = {Lee, Yu-Ju and Hall, David and Liu, Quan and Liao, Wen-Wei and Huang, Ming-Chun}, biburl = {https://www.bibsonomy.org/bibtex/233e6c416e8322f236e11360eab9b3e99/dblp}, ee = {https://doi.org/10.1016/j.engappai.2021.104233}, interhash = {9909abaa2b24ccc1126ad5e6583023c9}, intrahash = {33e6c416e8322f236e11360eab9b3e99}, journal = {Eng. Appl. Artif. Intell.}, keywords = {dblp}, pages = 104233, timestamp = {2024-04-09T02:57:40.000+0200}, title = {Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques.}, url = {http://dblp.uni-trier.de/db/journals/eaai/eaai101.html#LeeHLLH21}, volume = 101, year = 2021 }