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From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*

Gabriel Spadon , Jose F. Rodrigues-Jr

* This piece refers to an extended abstract of the Ph.D. thesis under the same name defended in the Graduate Program in Computer Science and Computational Mathematics (PPG-CCMC) of the Institute of Mathematics and Statistics (ICMC) from the University of Sao Paulo (USP) - Brazil on July 12, 2021. The authors here listed refer to the Ph.D. candidate and his advisor, respectively 

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Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks

Gabriel Spadon , Martha D. Ferreira , Amilcar Soares , Stan Matwin

* Submitted on Feb. 23rd to the Journal of Computational Science 

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DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods

Bruno Brandoli , Gabriel Spadon , Travis Esau , Patrick Hennessy , Andre C. P. L. Carvalho , Jose F. Rodrigues-Jr , Sihem Amer-Yahia

* Submitted to Computers and Electronics in Agriculture. arXiv admin note: text overlap with arXiv:1711.07828 

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Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning

Gabriel Spadon , Shenda Hong , Bruno Brandoli , Stan Matwin , Jose F. Rodrigues-Jr , Jimeng Sun

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence 

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Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls

Jose F Rodrigues-Jr , Gabriel Spadon , Bruno Brandoli , Sihem Amer-Yahia

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Reconstructing commuters network using machine learning and urban indicators

Gabriel Spadon , Andre C. P. L. F. de Carvalho , Jose F. Rodrigues-Jr , Luiz G. A. Alves

* Scientific Reports, 2019 (SREP-19-20224) 
* 28 pages, 5 figures 

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A smartphone application to measure the quality of pest control spraying machines via image analysis

Bruno B. Machado , Gabriel Spadon , Mauro S. Arruda , Wesley N. Goncalves , Andre C. P. L. F. Carvalho , Jose F. Rodrigues-Jr

* Paper to be published on the 33rd ACM/SIGAPP Symposium On Applied Computing (SAC), 2018 

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