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ORCIDGabriel Spadon
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2020 – today
- 2024
[j10]Gabriel Spadon
, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot:
Maritime tracking data analysis and integration with AISdb. SoftwareX 28: 101952 (2024)- [i15]Ruixin Song, Gabriel Spadon, Ronald Pelot, Stan Matwin, Amílcar Soares:
Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge. CoRR abs/2401.13098 (2024) - [i14]Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot:
Maritime Tracking Data Analysis and Integration with AISdb. CoRR abs/2407.08082 (2024) - [i13]Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira, Hanna Kavalionak, Gabriel Spadon, Amílcar Soares Júnior:
ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency. CoRR abs/2407.09571 (2024) - 2023
- [j9]Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin:
Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access 11: 18821-18837 (2023) - [c17]Yaksh J. Haranwala, Gabriel Spadon, Chiara Renso, Amílcar Soares:
A Data Augmentation Algorithm for Trajectory Data. EMODE@SIGSPATIAL 2023: 25-29 - [i12]Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin:
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR abs/2310.18948 (2023) - 2022
- [j8]Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5368-5384 (2022) - [j7]Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin:
A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. Sensors 22(16): 6063 (2022) - [i11]Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin:
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. CoRR abs/2202.13867 (2022) - [i10]Gabriel Spadon, José F. Rodrigues Jr.:
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics. CoRR abs/2206.01176 (2022) - [i9]Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin:
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. CoRR abs/2207.05514 (2022) - 2021
- [j6]Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, Sihem Amer-Yahia, José F. Rodrigues Jr.:
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. Comput. Electron. Agric. 180: 105906 (2021) - [j5]José F. Rodrigues Jr., Marco A. Gutierrez, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. Inf. Sci. 545: 813-827 (2021) - [j4]Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amílcar Soares Júnior, José F. Rodrigues Jr., Jerzy Komorowski, Stan Matwin:
Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors 21(12): 4026 (2021) - [c16]Lucas C. Scabora, Gabriel Spadon, Mirela T. Cazzolato, Daniel S. Kaster, Agma J. M. Traina, José F. Rodrigues Jr., Caetano Traina Jr.:
SHARq: sharing recursive queries in relational databases. SAC 2021: 336-339 - 2020
- [c15]José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network. CBMS 2020: 569-572 - [c14]Lucas C. Scabora, Gabriel Spadon, Paulo H. Oliveira, José F. Rodrigues Jr., Caetano Traina Jr.:
Enhancing recursive graph querying on RDBMS with data clustering approaches. SAC 2020: 404-411 - [i8]Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. CoRR abs/2008.12833 (2020) - [i7]Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia:
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. CoRR abs/2009.00453 (2020)
2010 – 2019
- 2019
- [j3]Gabriel Spadon, Bruno Brandoli, Danilo Medeiros Eler, José F. Rodrigues Jr.:
Detecting multi-scale distance-based inconsistencies in cities through complex-networks. J. Comput. Sci. 30: 209-222 (2019) - [i6]Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Luiz G. A. Alves:
Reconstructing commuters network using machine learning and urban indicators. CoRR abs/1908.03512 (2019) - [i5]José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls. CoRR abs/1909.04605 (2019) - 2018
- [j2]Ronaldo Celso Messias Correia, Gabriel Spadon, Pedro Henrique de Andrade Gomes, Danilo Medeiros Eler, Rogério Eduardo Garcia, Celso Olivete Junior:
Hadoop Cluster Deployment: A Methodological Approach. Inf. 9(6): 131 (2018) - [j1]Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Daniel S. Kaster, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina Júnior:
Cutting-edge Relational Graph Data Management with Edge-k: From One to Multiple Edges in the Same Row. J. Inf. Data Manag. 9(1): 20-35 (2018) - [c13]Marcos Roberto Nesso Junior, Mirela T. Cazzolato, Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Jéssica Andressa de Souza, Willian D. Oliveira, Daniel Y. T. Chino, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina:
RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. CBMS 2018: 71-76 - [c12]Lucas D. Ferreira, Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.:
A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques. FIE 2018: 1-8 - [c11]Gabriel Spadon, Gabriel P. Gimenes, José F. Rodrigues Jr.:
Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis. ICCS (1) 2018: 274-287 - [c10]Gabriel Spadon, Bruno Brandoli Machado, Danilo Medeiros Eler, José F. Rodrigues Jr.:
A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks. ICCS (1) 2018: 288-301 - [c9]Mauro dos Santos de Arruda, Gabriel Spadon, José F. Rodrigues Jr., Wesley Nunes Gonçalves, Bruno Brandoli Machado:
Recognition of Endangered Pantanal Animal Species using Deep Learning Methods. IJCNN 2018: 1-8 - [c8]Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.:
A smartphone application to measure the quality of pest control spraying machines via image analysis. SAC 2018: 956-963 - [c7]Gabriel Spadon, Lucas C. Scabora, Marcos R. Nesso Jr., Caetano Traina Jr., José F. Rodrigues Jr.:
Caracterização Topológica de Redes Viárias por Meio da Análise de Vetores de Características e Técnicas de Agrupamento. SBBD 2018: 157-168 - [c6]Gabriel Spadon, José Fernandes Rodrigues Jr.:
Computer-assisted City Touring for Explorers. BiDu-Posters@VLDB 2018 - [i4]Gabriel Spadon, Bruno Brandoli Machado, Danilo Medeiros Eler, José Fernando Rodrigues Jr.:
A distance-based tool-set to track inconsistent urban structures through complex-networks. CoRR abs/1803.09136 (2018) - [i3]Gabriel Spadon, Gabriel P. Gimenes, José F. Rodrigues Jr.:
Topological street-network characterization through feature-vector and cluster analysis. CoRR abs/1806.07952 (2018) - 2017
- [c5]Pedro Henrique de Andrade Gomes, Rogério Eduardo Garcia, Gabriel Spadon de Souza, Danilo Medeiros Eler, Celso Olivete Junior, Ronaldo Celso Messias Correia:
Teaching software quality via source code inspection tool. FIE 2017: 1-8 - [c4]Gabriel Spadon, Gabriel P. Gimenes, José F. Rodrigues Jr.:
Identifying Urban Inconsistencies via Street Networks. ICCS 2017: 18-27 - [c3]Gabriel Spadon, Lucas C. Scabora, Paulo H. Oliveira, Marcus V. S. Araujo, Bruno Brandoli Machado, Elaine P. M. de Sousa, Caetano Traina Jr., José F. Rodrigues Jr.:
Behavioral Characterization of Criminality Spread in Cities. ICCS 2017: 2537-2541 - [i2]Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.:
A smartphone application to measure the quality of pest control spraying machines via image analysis. CoRR abs/1711.07828 (2017) - 2016
- [c2]Gabriel Spadon de Souza, Pedro Henrique de Andrade Gomes, Ronaldo Celso Messias Correia, Celso Olivete Junior, Danilo Medeiros Eler, Rogério Eduardo Garcia:
Combined Methodology for Theoretical Computing. FIE 2016: 1-7 - [i1]Gabriel Spadon, Lucas C. Scabora, Marcus V. S. Araujo, Paulo H. Oliveira, Bruno Brandoli Machado, Elaine P. M. de Sousa, Caetano Traina Jr., José F. Rodrigues Jr.:
Complex Network Tools to Understand the Behavior of Criminality in Urban Areas. CoRR abs/1612.06115 (2016) - 2015
- [c1]Gabriel Spadon de Souza, Celso Olivete Junior, Ronaldo Celso Messias Correia, Rogério Eduardo Garcia:
Teaching-learning methodology for formal languages and automata theory. FIE 2015: 1-7
Coauthor Index
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last updated on 2024-12-23 19:34 CET by the dblp team
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