Publications

All Publications

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Date	Title / Venue
Nov, 2024	Maritime Tracking Data Analysis and Integration with AISdb Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot SoftwareX
Sep, 2024	Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns M. Alam, Gabriel Spadon, Mohammad Etemad, Luis Torgo, E. Milios Ocean Engineering
Jul, 2024	Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models Ruixin Song, Gabriel Spadon, Ronald Pelot, Stan Matwin, Amilcar Soares Scientific Reports
Jan, 2024	ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira, Hanna Kavalionak, Gabriel Spadon, Amilcar Soares arXiv preprint arXiv:2407.09571
Jan, 2024	Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting Gabriel Spadon, Jay Kumar, Derek Eden, Josh van Berkel, Tom Foster, Amilcar Soares, Ronan Fablet, Stan Matwin, Ronald Pelot Ocean Engineering
Nov, 2023	A Data Augmentation Algorithm for Trajectory Data Yaksh J. Haranwala, Gabriel Spadon, Chiara Renso, Amilcar Soares Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging Issues and Ethical Perspectives 2023
Jan, 2023	Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning Gabriel Spadon, Martha D. Ferreira, Amilcar Soares, Stan Matwin IEEE Access
Sep, 2022	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 IEEE Transactions on Pattern Analysis and Machine Intelligence
Aug, 2022	A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels Martha Dais Ferreira, Gabriel Spadon, Amilcar Soares, Stan Matwin Sensors
Jul, 2022	CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy Jose F. Rodrigues, Sebastien Bailly, Jean-Louis Pepin, Lorraine Goeuriot, Gabriel Spadon, Sihem Amer-Yahia Applied Sciences
Aug, 2021	Neural Networks for Seismic Data Inversion Cassio M. Oishi, Fabio Vinícius Goes Amaral, Hugo L. França, William Hideki Nakata, Diego Alecsander de Aguiar, Gilmar Francisco de Oliveira Santos, Débora de Oliveira Medeiros, Gabriel Spadon, José Fernando Rodrigues Jr, José Mario Martínez, Lúcio Tunes Santos, D. S. Soares Filho Mathematics in Industry Reports
Jun, 2021	Aircraft Fuselage Corrosion Detection Using Artificial Intelligence Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amilcar Soares, Jose F. Rodrigues, Jerzy Komorowski, Stan Matwin Sensors
Mar, 2021	SHARq: sharing recursive queries in relational databases Lucas C Scabora, Gabriel Spadon, Mirela T Cazzolato, Daniel S Kaster, Agma JM Traina, Jose F Rodrigues-Jr, Caetano Traina-Jr Proceedings of the 36th Annual ACM Symposium on Applied Computing
Feb, 2021	LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks Jose F. Rodrigues-Jr, Marco A. Gutierrez, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia Information Sciences
Jan, 2021	DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage Bruno Brandoli, Gabriel Spadon, Travis Esau, Patrick Hennessy, Andre C. P. L. Carvalho, Sihem Amer-Yahia, Jose F. Rodrigues-Jr Computers and Electronics in Agriculture
Jan, 2021	From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics Gabriel Spadon
Jul, 2020	Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network Jose F Rodrigues, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
Mar, 2020	Enhancing recursive graph querying on RDBMS with data clustering approaches Lucas C. Scabora, Gabriel Spadon, Paulo H. Oliveira, Jose F. Rodrigues-Jr, Caetano Traina-Jr Proceedings of the 35th Annual ACM Symposium on Applied Computing
Aug, 2019	Reconstructing commuters network using machine learning and urban indicators Gabriel Spadon, A. Carvalho, Jose F. Rodrigues-Jr, L. G. Alves Scientific reports
Jan, 2019	Detecting multi-scale distance-based inconsistencies in cities through complex-networks Gabriel Spadon, Bruno Brandoli, Danilo M. Eler, Jose F. Rodrigues-Jr Journal of Computational Science
Jan, 2019	Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls José F. Rodrigues, Gabriel Spadon, Bruno Brandoli, S. Amer-Yahia arXiv preprint arXiv:1909.04605
Oct, 2018	A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques Lucas D Ferreira, Gabriel Spadon, André CPLF Carvalho, Jose F Rodrigues 2018 IEEE Frontiers in Education Conference (FIE)
Aug, 2018	Caracterização Topológica de Redes Viárias por Meio da Análise de Vetores de Características e Técnicas de Agrupamento Gabriel Spadon, Lucas C. Scabora, Marcos R. Nesso-Jr, Caetano Traina-Jr, Jose F. Rodrigues-Jr Anais do XXXIII Simpósio Brasileiro de Banco de Dados (SBBD 2018)
Jul, 2018	Recognition of Endangered Pantanal Animal Species using Deep Learning Methods Mauro dos Santos de Arruda, Gabriel Spadon, Jose F Rodrigues, Wesley Nunes Gonçalves, Bruno Brandoli Machado 2018 International Joint Conference on Neural Networks (IJCNN)
Jun, 2018	Cutting-edge Relational Graph Data Management with Edge-k: From One to Multiple Edges in the Same Row L. C. Scabora, Paulo H. Oliveira, Gabriel Spadon, D. S. Kaster, José F. Rodrigues, A. Traina, C. Júnior Journal of Information and Data Management
Jun, 2018	RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation Marcos R. Nesso, Mirela T. Cazzolato, Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Jessica A. de Souza, Willian D. Oliveira, Daniel Y. T. Chino, Jose F. Rodrigues, Agma J. M. Traina, Caetano Traina 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)
May, 2018	Hadoop Cluster Deployment: A Methodological Approach Ronaldo Celso Messias Correia, Gabriel Spadon, Pedro Henrique De Andrade Gomes, Danilo Medeiros Eler, Rogério Eduardo Garcia, Celso Olivete Junior Information
Apr, 2018	A smartphone application to measure the quality of pest control spraying machines via image analysis Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley N. Goncalves, Andre C. P. L. F. Carvalho, Jose F. Rodrigues-Jr Proceedings of the 33rd Annual ACM Symposium on Applied Computing
Jan, 2018	A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks Gabriel Spadon, Bruno B. Machado, Danilo M. Eler, Jose F. Rodrigues Computational Science - ICCS 2018
Jan, 2018	Computer-assisted City Touring for Explorers Gabriel Spadon, José F. Rodrigues Proceedings of the Poster Track of the Workshop on Big Social Data and Urban Computing co-located with BiDU 2018 at VLDB 2018, Rio de Janeiro, Brazil, August 31, 2018
Jan, 2018	Internet-Based Education: A New Milestone for Formal Language and Automata Courses João E. M. Rocha, Celso Olivete, Pedro H. A. Gomes, Rogério E. Garcia, Ronaldo C. M. Correia, Gabriel Spadon de Souza, Danilo M. Eler Information Technology - New Generations
Jan, 2018	Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis Gabriel Spadon, Gabriel Gimenes, Jose F. Rodrigues Computational Science - ICCS 2018

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Selected Publications

Ship trajectory prediction with clustering for heterogeneous and multi-modal data

Vessel trajectories forecasting with probabilistic feature fusion in the Gulf of St. Lawrence

Global maritime traffic network forecasting with gravity-inspired deep learning models

All Publications