Ivar V. Belizario, Douglas Teodoro, Luís G. M. Andrade, Gabriel Spadon, Jose F. Rodrigues-Jr (2026) Aprendizado por Reforço para Alocação de Rins: Uma Abordagem Baseada em Policy Gradient com Dados Reais do Sistema Brasileiro de Transplantes Simpósio Brasileiro de Banco de Dados (SBBD)

Vaishnav Vaidheeswaran, Dilith Jayakody, Biruk Ambaw, Jaswanth Kumar, Md Mahbub Alam, Gabriel Spadon (2026) Does Latent Context Help? A Controlled Evaluation of Inverse Reinforcement Learning in Arctic Shipping arXiv preprint arXiv:2608.06105

Parth Doshi, Priyanka Aravindan, Vaishnav Vaidheeswaran, Md Mahbub Alam, Gabriel Spadon (2026) Transferable Dual-Stream Representations for Mesoscale-Preserving Sea Surface Temperature Downscaling arXiv preprint arXiv:2608.04230

H. Martin Gillis, Isaac Xu, Gabriel Spadon, Thomas Trappenberg (2026) Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification arXiv preprint arXiv:2607.23856

Wayne Renaud, Priyanka Aravindan, Gabriel Spadon (2026) From Continuous Deployment to Queryable Dataset: Terabyte-Scale AIS-Aligned Passive Acoustic Labelling arXiv preprint arXiv:2607.13840

Ruixin Song, Md Mahbub Alam, Zahra Sadeghi, Amilcar Soares, Jose F. Rodrigues-Jr, Gabriel Spadon (2026) MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories arXiv preprint arXiv:2606.17978

Alexandra Mayette, Alexandra Krystal Cole, Shiva Jian-Javdan, Gabriel Spadon, Ronald P Pelot, Sean W Brillant (2026) Assessment of vessel strike risk and performance of the Canadian protection measures for North Atlantic right whales in the Gulf of St. Lawrence Endangered Species Research

Martim R. Teixeira, Gabriel Spadon, Claudio D. G. Linhares, Amilcar Soares (2026) LOMAD: Local Anomaly Detection in Maritime Trajectories Using LSTM Prediction and Visual Analytics 2026 27th IEEE International Conference on Mobile Data Management (MDM)

Joao Pedro da Silva, Joao Porto de Albuquerque, Julio Cesar Pedrassoli, Gabriel Spadon, Jose F. Rodrigues-Jr (2026) The State of Brazilian Favelas: Infrastructural Regimes and Urban Inequality Research Square

Gabriel Spadon, Ruixin Song, Vaishnav Vaidheeswaran, Md Mahbub Alam, Floris Goerlandt, Ronald Pelot (2025) Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence 2025 IEEE International Conference on Big Data (BigData)

Gabriel Spadon, Vaishnav Vaidheeswaran, Claudio DiBacco (2025) A Theoretical Framework for Environmental Similarity and Vessel Mobility as Coupled Predictors of Marine Invasive Species Pathways arXiv preprint arXiv:2511.03499

Gabriel Spadon, Oladapo Oyebode, Camilo M. Botero, Tushar Sharma, Floris Goerlandt, Ronald Pelot (2025) Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia's Eastern Shore Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Intelligence for Smart and Connected Communities

Md Mahbub Alam, Jose F. Rodrigues-Jr, Gabriel Spadon (2025) Multi-vessel Interaction-Aware Trajectory Prediction and Collision Risk Assessment arXiv preprint arXiv:2509.01836

Joao Pedro Silva, Erikson J. de Aguiar, Gabriel Spadon, Agma J. M. Traina, Jose F. Rodrigues-Jr (2025) AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)

Vaishnav Vaidheeswaran, Dilith Jayakody, Samruddhi Mulay, Anand Lo, Md Mahbub Alam, Gabriel Spadon (2025) Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation 2025 IEEE International Conference on Big Data (BigData)

Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira, Hanna Kavalionak, Amilcar Soares, Gabriel Spadon (2025) ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency Proceedings of the 19th International Symposium on Spatial and Temporal Data

Md Mahbub Alam, Amilcar Soares, José Fernando Rodrigues-Jr, Gabriel Spadon (2025) Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences Proceedings of the 19th International Symposium on Spatial and Temporal Data

Md Mahbub Alam, Gabriel Spadon, Mohammad Etemad, Luis Torgo, Evangelos Milios (2024) Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns Ocean Engineering

Ruixin Song, Gabriel Spadon, Ronald Pelot, Stan Matwin, Amilcar Soares (2024) Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models Scientific Reports

Gabriel Spadon, Ruixin Song, Ronald Pelot, Stan Matwin, Amilcar Soares (2024) Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge Research Square

Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot (2024) Maritime tracking data analysis and integration with AISdb SoftwareX

Gabriel Spadon, Jay Kumar, Derek Eden, Josh van Berkel, Tom Foster, Amilcar Soares, Ronan Fablet, Stan Matwin, Ronald Pelot (2024) Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting Ocean Engineering

Yaksh J. Haranwala, Gabriel Spadon, Chiara Renso, Amilcar Soares (2023) A Data Augmentation Algorithm for Trajectory Data Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023

Gabriel Spadon, Martha D. Ferreira, Amilcar Soares, Stan Matwin (2023) Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning IEEE Access

Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun (2022) Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning IEEE Transactions on Pattern Analysis and Machine Intelligence

Martha D. Ferreira, Gabriel Spadon, Amilcar Soares, Stan Matwin (2022) A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels Sensors

Jose F. Rodrigues-Jr, Sebastien Bailly, Jean-Louis Pepin, Lorraine Goeuriot, Gabriel Spadon, Sihem Amer-Yahia (2022) CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy Applied Sciences

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, Jose F. Rodrigues-Jr, José Mario Martínez, Lúcio Tunes Santos, D. S. Soares Filho (2021) Neural Networks for Seismic Data Inversion Mathematics in Industry Reports

Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amilcar Soares, Jose F. Rodrigues-Jr, Jerzy Komorowski, Stan Matwin (2021) Aircraft Fuselage Corrosion Detection Using Artificial Intelligence Sensors

Lucas C. Scabora, Gabriel Spadon, Mirela T. Cazzolato, Daniel S. Kaster, Agma J. M. Traina, Jose F. Rodrigues-Jr, Caetano Traina-Jr (2021) SHARq: sharing recursive queries in relational databases Proceedings of the 36th Annual ACM Symposium on Applied Computing

Jose F. Rodrigues-Jr, Marco A. Gutierrez, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia (2021) LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks Information Sciences

Bruno Brandoli, Gabriel Spadon, Travis Esau, Patrick Hennessy, Andre C. P. L. Carvalho, Sihem Amer-Yahia, Jose F. Rodrigues-Jr (2021) DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage Computers and Electronics in Agriculture

Jose F. Rodrigues-Jr, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia (2020) Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)

Lucas C. Scabora, Gabriel Spadon, Paulo H. Oliveira, Jose F. Rodrigues-Jr, Caetano Traina-Jr (2020) Enhancing recursive graph querying on RDBMS with data clustering approaches Proceedings of the 35th Annual ACM Symposium on Applied Computing

Jose F. Rodrigues-Jr, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia (2019) Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls arXiv preprint arXiv:1909.04605

Gabriel Spadon, Andre C. P. L. Carvalho, Jose F. Rodrigues-Jr, L. G. Alves (2019) Reconstructing commuters network using machine learning and urban indicators Scientific Reports

Gabriel Spadon, Bruno Brandoli, Danilo M. Eler, Jose F. Rodrigues-Jr (2019) Detecting multi-scale distance-based inconsistencies in cities through complex-networks Journal of Computational Science

Lucas D. Ferreira, Gabriel Spadon, Andre C. P. L. Carvalho, Jose F. Rodrigues-Jr (2018) A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques 2018 IEEE Frontiers in Education Conference (FIE)

Gabriel Spadon, Lucas C. Scabora, Marcos R. Nesso-Jr, Caetano Traina-Jr, Jose F. Rodrigues-Jr (2018) Caracterização Topológica de Redes Viárias por Meio da Análise de Vetores de Características e Técnicas de Agrupamento Anais do XXXIII Simpósio Brasileiro de Banco de Dados (SBBD 2018)

Mauro dos Santos de Arruda, Gabriel Spadon, Jose F. Rodrigues-Jr, Wesley Nunes Gonçalves, Bruno Brandoli (2018) Recognition of Endangered Pantanal Animal Species using Deep Learning Methods 2018 International Joint Conference on Neural Networks (IJCNN)

Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Daniel S. Kaster, Jose F. Rodrigues-Jr, Agma J. M. Traina, C. Júnior (2018) Cutting-edge Relational Graph Data Management with Edge-k: From One to Multiple Edges in the Same Row Journal of Information and Data Management

Marcos R. Nesso-Jr, 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-Jr, Agma J. M. Traina, Caetano Traina-Jr (2018) RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)

Ronaldo C. M. Correia, Gabriel Spadon, Pedro H. A. Gomes, Danilo M. Eler, Rogério E. Garcia, Celso Olivete Junior (2018) Hadoop Cluster Deployment: A Methodological Approach Information

Bruno Brandoli, Gabriel Spadon, Mauro dos Santos de Arruda, Wesley Nunes Gonçalves, Andre C. P. L. Carvalho, Jose F. Rodrigues-Jr (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

Gabriel Spadon, Bruno Brandoli, Danilo M. Eler, Jose F. Rodrigues-Jr (2018) A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks Computational Science - ICCS 2018

Gabriel Spadon, Jose F. Rodrigues-Jr (2018) Computer-assisted City Touring for Explorers Proceedings of the Poster Track of the Workshop on Big Social Data and Urban Computing co-located with BiDU'18 at VLDB'18, Rio de Janeiro, Brazil, August 31, 2018

João E. M. Rocha, Celso Olivete Junior, Pedro H. A. Gomes, Rogério E. Garcia, Ronaldo C. M. Correia, Gabriel Spadon, Danilo M. Eler (2018) Internet-Based Education: A New Milestone for Formal Language and Automata Courses Information Technology - New Generations (ITNG'18)

Gabriel Spadon, Gabriel Gimenes, Jose F. Rodrigues-Jr (2018) Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis Computational Science - ICCS 2018