Gabriel Spadon
Orcid: 0000-0001-8437-4349
According to our database1,
Gabriel Spadon
authored at least 35 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge.
CoRR, 2024
2023
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting.
CoRR, 2023
Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning.
IEEE Access, 2023
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023, 2023
2022
A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels.
Sensors, 2022
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages.
CoRR, 2022
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics.
CoRR, 2022
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks.
CoRR, 2022
2021
LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks.
Inf. Sci., 2021
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage.
Comput. Electron. Agric., 2021
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
2020
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods.
CoRR, 2020
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
Detecting multi-scale distance-based inconsistencies in cities through complex-networks.
J. Comput. Sci., 2019
CoRR, 2019
CoRR, 2019
2018
Cutting-edge Relational Graph Data Management with Edge-k: From One to Multiple Edges in the Same Row.
J. Inf. Data Manag., 2018
Proceedings of the Poster Track of the Workshop on Big Social Data and Urban Computing co-located with BiDU 2018 at VLDB 2018, 2018
Caracterização Topológica de Redes Viárias por Meio da Análise de Vetores de Características e Técnicas de Agrupamento.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018
A smartphone application to measure the quality of pest control spraying machines via image analysis.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks.
Proceedings of the Computational Science - ICCS 2018, 2018
Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis.
Proceedings of the Computational Science - ICCS 2018, 2018
A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques.
Proceedings of the IEEE Frontiers in Education Conference, 2018
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
2017
Proceedings of the International Conference on Computational Science, 2017
Proceedings of the International Conference on Computational Science, 2017
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017
2016
CoRR, 2016
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016
2015
Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015