Gabriel Spadon

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Activity Detection

Relational Graph

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2023)
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 (2023)
Yaksh J. Haranwala, Gabriel Spadon, Chiara Renso, Amílcar Soares
A Data Augmentation Algorithm for Trajectory Data. EMODE@SIGSPATIAL (2023)
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) (2022)
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 (2022)
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) (2022)
Gabriel Spadon, Martha D. Ferreira, Amílcar Soares, Stan Matwin
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. CoRR (2022)
Gabriel Spadon, José F. Rodrigues Jr.
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics. CoRR (2022)
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) (2021)
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)
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 (2021)
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 (2021)
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 (2020)
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 (2020)
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)
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)
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 (2019)
José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls. CoRR (2019)
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 (2019)
Gabriel Spadon, José Fernandes Rodrigues Jr.
Computer-assisted City Touring for Explorers. BiDu-Posters@VLDB (2018)
Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Daniel S. Kaster, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina Junior
Cutting-edge Relational Graph Data Management with Edge-k: From One to Multiple Edges in the Same Row. J. Inf. Data Manag. 9 (1) (2018)
Gabriel Spadon, Gabriel P. Gimenes, José F. Rodrigues Jr.
Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis. ICCS (1) (2018)
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)
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 (2018)
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)
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)
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)
Gabriel Spadon, Gabriel P. Gimenes, José F. Rodrigues Jr.
Topological street-network characterization through feature-vector and cluster analysis. CoRR (2018)
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)
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)
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) (2018)
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 (2017)
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)
Gabriel Spadon, Gabriel P. Gimenes, José F. Rodrigues Jr.
Identifying Urban Inconsistencies via Street Networks. ICCS (2017)
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 (2016)