Teaching-learning methodology for formal languages and automata theory. - Gabriel Spadon de Souza; Celso Olivete Junior; Ronaldo Celso Messias Correia; Rogério Eduardo Garcia (FIE, 2015)

Combined Methodology for Theoretical Computing. - Gabriel Spadon de Souza; Pedro Henrique de Andrade Gomes; Ronaldo Celso Messias Correia; Celso Olivete Junior; Danilo Medeiros Eler; Rogério Eduardo Garcia (FIE, 2016)

Complex Network Tools to Understand the Behavior of Criminality in Urban Areas. - 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. (CoRR, 2016)

Teaching software quality via source code inspection tool. - Pedro Henrique de Andrade Gomes; Rogério Eduardo Garcia; Gabriel Spadon de Souza; Danilo Medeiros Eler; Celso Olivete Junior; Ronaldo Celso Messias Correia (FIE, 2017)

Identifying Urban Inconsistencies via Street Networks. - Gabriel Spadon; Gabriel P. Gimenes; José F. Rodrigues Jr. (ICCS, 2017)

Behavioral Characterization of Criminality Spread in Cities. - 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. (ICCS, 2017)

RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. - 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 (CBMS, 2018)

A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques. - Lucas D. Ferreira; Gabriel Spadon; André C. P. L. F. de Carvalho; José F. Rodrigues Jr. (FIE, 2018)

Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis. - Gabriel Spadon; Gabriel P. Gimenes; José F. Rodrigues Jr. (ICCS (1), 2018)

A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks. - Gabriel Spadon; Bruno Brandoli Machado; Danilo Medeiros Eler; José F. Rodrigues Jr. (ICCS (1), 2018)

Recognition of Endangered Pantanal Animal Species using Deep Learning Methods. - Mauro dos Santos de Arruda; Gabriel Spadon; José F. Rodrigues Jr.; Wesley Nunes Gonçalves; Bruno Brandoli Machado (IJCNN, 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 Nunes Gonçalves; André C. P. L. F. de Carvalho; José F. Rodrigues Jr. (SAC, 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.; José F. Rodrigues Jr. (SBBD, 2018)

Computer-assisted City Touring for Explorers. - Gabriel Spadon; José Fernandes Rodrigues Jr. (BiDu-Posters@VLDB, 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 (Inf., 2018)

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

Reconstructing commuters network using machine learning and urban indicators. - Gabriel Spadon; André C. P. L. F. de Carvalho; José F. Rodrigues Jr.; Luiz G. A. Alves (CoRR, 2019)

Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls. - José F. Rodrigues Jr.; Gabriel Spadon; Bruno Brandoli; Sihem Amer-Yahia (CoRR, 2019)

Detecting multi-scale distance-based inconsistencies in cities through complex-networks. - Gabriel Spadon; Bruno Brandoli; Danilo Medeiros Eler; José F. Rodrigues Jr. (J. Comput. Sci., 2019)

Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network. - José F. Rodrigues Jr.; Gabriel Spadon; Bruno Brandoli; Sihem Amer-Yahia (CBMS, 2020)

Enhancing recursive graph querying on RDBMS with data clustering approaches. - Lucas C. Scabora; Gabriel Spadon; Paulo H. Oliveira; José F. Rodrigues Jr.; Caetano Traina Jr. (SAC, 2020)

DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. - Bruno Brandoli; Gabriel Spadon; Travis J. Esau; Patrick Hennessy; André C. P. L. F. de Carvalho; José F. Rodrigues Jr.; Sihem Amer-Yahia (CoRR, 2020)

SHARq: sharing recursive queries in relational databases. - Lucas C. Scabora; Gabriel Spadon; Mirela T. Cazzolato; Daniel S. Kaster; Agma J. M. Traina; José F. Rodrigues Jr.; Caetano Traina Jr. (SAC, 2021)

DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. - Bruno Brandoli; Gabriel Spadon; Travis J. Esau; Patrick Hennessy; André C. P. L. F. de Carvalho; Sihem Amer-Yahia; José F. Rodrigues Jr. (Comput. Electron. Agric., 2021)

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. - José F. Rodrigues Jr.; Marco A. Gutierrez 001; Gabriel Spadon; Bruno Brandoli; Sihem Amer-Yahia (Inf. Sci., 2021)

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. - Bruno Brandoli; André R. de Geus; Jefferson R. Souza; Gabriel Spadon; Amílcar Soares Júnior 001; José F. Rodrigues Jr.; Jerzy Komorowski; Stan Matwin (Sensors, 2021)

Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. - Gabriel Spadon; Martha Dais Ferreira; Amílcar Soares 001; Stan Matwin (CoRR, 2022)

From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics. - Gabriel Spadon; José F. Rodrigues Jr. (CoRR, 2022)

A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. - Martha Dais Ferreira; Gabriel Spadon; Amílcar Soares 001; Stan Matwin (CoRR, 2022)

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. - Gabriel Spadon; Shenda Hong; Bruno Brandoli; Stan Matwin; José F. Rodrigues Jr.; Jimeng Sun 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. - Martha Dais Ferreira; Gabriel Spadon; Amílcar Soares 001; Stan Matwin (Sensors, 2022)

A Data Augmentation Algorithm for Trajectory Data. - Yaksh J. Haranwala; Gabriel Spadon; Chiara Renso; Amílcar Soares 001 (EMODE@SIGSPATIAL, 2023)

Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. - Gabriel Spadon; Martha Dais Ferreira; Amílcar Soares 001; Stan Matwin (IEEE Access, 2023)

Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. - Gabriel Spadon; Jay Kumar; Matthew Smith; Sarah Vela; Romina Gehrmann; Derek Eden; Joshua van Berkel; Amílcar Soares 001; Ronan Fablet; Ronald Pelot; Stan Matwin (CoRR, 2023)

Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge. - Ruixin Song; Gabriel Spadon; Ronald Pelot; Stan Matwin; Amílcar Soares 001 (CoRR, 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; Amílcar Soares Júnior 001 (CoRR, 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, 2024)

AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data. - Joao Pedro Silva; Erikson Júlio De Aguiar; Gabriel Spadon; Agma J. M. Traina; Jose F. Rodrigues (CBMS, 2025)

Learning Spatio-Temporal Vessel Behavior using AIS Trajectory Data and Markovian Models in the Gulf of St. Lawrence. - Gabriel Spadon; Ruixin Song; Vaishnav Vaidheeswaran; Md Mahbub Alam; Floris Goerlandt; Ronald Pelot (CoRR, 2025)

Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences. - Md Mahbub Alam; Amílcar Soares 001; José F. Rodrigues Jr.; Gabriel Spadon (CoRR, 2025)