Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics. - Bruno Moreno; Amílcar Soares Júnior 001; Valéria Cesário Times; Patrícia C. A. R. Tedesco; Stan Matwin (Canadian AI, 2014)

GRASP-UTS: an algorithm for unsupervised trajectory segmentation. - Amílcar Soares Júnior 001; Bruno Neiva Moreno; Valéria Cesário Times; Stan Matwin; Lucídio dos Anjos Formiga Cabral (Int. J. Geogr. Inf. Sci., 2015)

ANALYTiC: An Active Learning System for Trajectory Classification. - Amílcar Soares Júnior 001; Chiara Renso; Stan Matwin (IEEE Computer Graphics and Applications, 2017)

Predicting Crime Using Spatial Features. - Fateha Khanam Bappee; Amílcar Soares Júnior 001; Stan Matwin (Canadian AI, 2018)

Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (Canadian AI, 2018)

A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. - Amílcar Soares Júnior 001; Valéria Cesário Times; Chiara Renso; Stan Matwin; Lucídio A. F. Cabral (MDM, 2018)

On feature selection and evaluation of transportation mode prediction strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (CoRR, 2018)

A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Arazoo Hoseyni; Jordan Rose; Stan Matwin (EDBT/ICDT Workshops, 2019)

On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin; Luís Torgo (EDBT/ICDT Workshops, 2019)

VISTA: A visual analytics platform for semantic annotation of trajectories. - Amílcar Soares Júnior 001; Jordan Rose; Mohammad Etemad; Chiara Renso; Stan Matwin (EDBT, 2019)

A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. - Iraklis Varlamis; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (EDBT/ICDT Workshops, 2019)

CRISIS: Integrating AIS and Ocean Data Streams Using Semantic Web Standards for Event Detection. - Amílcar Soares 001; Renata Dividino; Fernando Henrique Oliveira Abreu; Matthew Brousseau; Anthony W. Isenor; Sean Webb; Stan Matwin (ICMCIS, 2019)

Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. - Pedram Adibi; Fabio Pranovi; Alessandra Raffaetà; Elisabetta Russo; Claudio Silvestri; Marta Simeoni; Amílcar Soares Júnior 001; Stan Matwin (MASTER@PKDD/ECML, 2019)

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. - Lucas May Petry; Amílcar Soares Júnior 001; Vania Bogorny; Stan Matwin (CoRR, 2019)

Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. - Mohammad Etemad; Zahra Etemad; Amílcar Soares Júnior 001; Vania Bogorny; Stan Matwin; Luís Torgo (Canadian AI, 2020)

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. - Mohammad Etemad; Nader Zare; Mahtab Sarvmaili; Amílcar Soares Júnior 001; Bruno Brandoli Machado; Stan Matwin (Canadian AI, 2020)

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. - Lucas May Petry; Amílcar Soares Júnior 001; Vania Bogorny; Bruno Brandoli; Stan Matwin (Canadian AI, 2020)

Uncovering vessel movement patterns from AIS data with graph evolution analysis. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares Júnior 001; Mohammad Etemad; Bruno Brandoli Machado; Stan Matwin (EDBT/ICDT Workshops, 2020)

Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. - Fateha Khanam Bappee; Lucas May Petry; Amílcar Soares Júnior 001; Stan Matwin (CoRR, 2020)

A Survey on Big Data for Trajectory Analytics. - Damião Ribeiro de Almeida; Cláudio de Souza Baptista; Fabio Gomes de Andrade; Amílcar Soares Júnior 001 (ISPRS Int. J. Geo Inf., 2020)

A modularized framework for explaining hierarchical attention networks on text classifiers. - Mahtab Sarvmaili; Amílcar Soares 001; Riccardo Guidotti; Anna Monreale; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2021)

Local Anomaly Detection In Maritime Traffic Using Visual Analytics. - Fernando Henrique Oliveira Abreu; Amílcar Soares 001; Fernando V. Paulovich; Stan Matwin (EDBT/ICDT Workshops, 2021)

Transitive Halifax: An Activity-Based Search Engine for Bus Routes. - Jinkun Chen; Vinicius Monteiro de Lira; Fernando V. Paulovich; Amílcar Soares 001 (MDM, 2021)

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. - Nader Zare; Omid Amini; Aref Sayareh; Mahtab Sarvmaili; Arad Firouzkouhi; Stan Matwin; Amílcar Soares 001 (RoboCup, 2021)

Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. - Nader Zare; Mahtab Sarvmaili; Aref Sayareh; Omid Amini; Stan Matwin; Amílcar Soares 001 (RoboCup, 2021)

Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks. - Mário Cardoso; André Cavalheiro; Alexandre Borges; Ana Filipa Duarte; Amílcar Soares 001; Maria João Pereira 001; Nuno Jardim Nunes; Leonardo Azevedo 002; Arlindo L. Oliveira (CoRR, 2021)

Continuous Control with Deep Reinforcement Learning for Autonomous Vessels. - Nader Zare; Bruno Brandoli; Mahtab Sarvmaili; Amílcar Soares 001; Stan Matwin (CoRR, 2021)

Survey of Generative Methods for Social Media Analysis. - Stan Matwin; Aristides Milios; Pawel Pralat; Amílcar Soares 001; François Théberge (CoRR, 2021)

SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. - Mohammad Etemad; Amílcar Soares Júnior 001; Elham Etemad; Jordan Rose; Luís Torgo; Stan Matwin (GeoInformatica, 2021)

Building navigation networks from multi-vessel trajectory data. - Iraklis Varlamis; Ioannis Kontopoulos; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (GeoInformatica, 2021)

A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. - Fernando Henrique Oliveira Abreu; Amílcar Soares Júnior 001; Fernando V. Paulovich; Stan Matwin (ISPRS Int. J. Geo Inf., 2021)

Examining the impact of cross-domain learning on crime prediction. - Fateha Khanam Bappee; Amílcar Soares 001; Lucas May Petry; Stan Matwin (J. Big Data, 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)

A Modularized Framework for Explaining Black Box Classifiers for Text Data. - Mahtab Sarvmaili; Riccardo Guidotti; Anna Monreale; Amílcar Soares 001; Zahra Sadeghi; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2022)

On Requirements for Field of Light Displays to Pass the Visual Turing Test. - Matthew Hamilton; Nicholas Wells; Amílcar Soares 001 (ISM, 2022)

A Dashboard Tool for Mobility Data Mining Preprocessing Tasks. - Yaksh J. Haranwala; Salman Haidri; Terrence S. Tricco; Vinicius Prado da Fonseca; Amílcar Soares 001 (MDM, 2022)

Cyrus2D Base: Source Code Base for RoboCup 2D Soccer Simulation League. - Nader Zare; Omid Amini; Aref Sayareh; Mahtab Sarvmaili; Arad Firouzkouhi; Saba Ramezani Rad; Stan Matwin; Amílcar Soares 001 (RoboCup, 2022)

A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares 001; Mohammad Etemad; Bruno Brandoli; Stan Matwin (SEBD, 2022)

Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks. - Humberto Navarro de Carvalho; Lucas Pontes Castro; Thaís Gaudencio do Rêgo; Telmo de Menezes e Silva Filho; Yuri de A. M. Barbosa; Leonardo Vidal Batista; Amílcar Soares 001; Vinicius Prado da Fonseca (SysCon, 2022)

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)

CYRUS Soccer Simulation 2D Team Description Paper 2022. - Nader Zare; Arad Firouzkouhi; Omid Amini; Mahtab Sarvmaili; Aref Sayareh; Saba Ramezani Rad; Stan Matwin; Amílcar Soares 001 (CoRR, 2022)

CYRUS Soccer Simulation 2D Team Description Paper 2021. - Nader Zare; Aref Sayareh; Mahtab Sarvmaili; Omid Amini; Amílcar Soares 001; Stan Matwin (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)

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. - Bruno Brandoli; Alessandra Raffaetà; Marta Simeoni; Pedram Adibi; Fateha Khanam Bappee; Fabio Pranovi; Giulia Rovinelli; Elisabetta Russo; Claudio Silvestri; Amílcar Soares 001; Stan Matwin (GeoInformatica, 2022)

Understanding evolution of maritime networks from automatic identification system data. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares 001; Mohammad Etemad; Bruno Brandoli; Stan Matwin (GeoInformatica, 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 Study on the Geometric and Kinematic Descriptors of Trajectories in the Classification of Ship Types. - Yashar Tavakoli; Lourdes Peña Castillo; Amílcar Soares 001 (Sensors, 2022)

PTRAIL - A python package for parallel trajectory data preprocessing. - Salman Haidri; Yaksh J. Haranwala; Vania Bogorny; Chiara Renso; Vinicius Prado da Fonseca; Amílcar Soares 001 (SoftwareX, 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)

Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation. - Nader Zare; Aref Sayareh; Omid Amini; Mahtab Sarvmaili; Arad Firouzkouhi; Stan Matwin; Amílcar Soares 001 (CoRR, 2023)

Denoising Opponents Position in Partial Observation Environment. - Aref Sayareh; Aria Sardari; Vahid Khoddami; Nader Zare; Vinicius Prado da Fonseca; Amílcar Soares 001 (CoRR, 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)

Generative Methods for Social Media Analysis - Stan Matwin; Aristides Milios; Pawel Pralat; Amílcar Soares 001; François Théberge (Springer, 2023)

Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories. - Martha Dais Ferreira; Jessica N. A. Campbell; Evan Purney; Amílcar Soares 001; Stan Matwin (Int. J. Geogr. Inf. Sci., 2023)

Smart investigation of artificial intelligence in renewable energy system technologies by natural language processing: Insightful pattern for decision-makers. - Kamran Niroomand; Noori M. Cata Saady; Carlos Bazan; Sohrab Zendehboudi; Amílcar Soares 001; Talib M. Albayati (Eng. Appl. Artif. Intell., 2023)

Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation. - Nader Zare; Aref Sayareh; Alireza Sadraii; Arad Firouzkouhi; Amílcar Soares 001 (RoboCup, 2024)

Unbalanced Fault Classification Using Active Learning in Synthetic Fiber Manufacturing Process. - Shemonto Das; Vimal Simha; Joshua Swamidas; Amílcar Soares 001; Vinicius Prado da Fonseca (SysCon, 2024)

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)

A Comprehensive Data Pipeline for Comparing the Effects of Momentum on Sports Leagues. - Jordan Truman Paul Noel; Vinicius Prado da Fonseca; Amílcar Soares 001 (Data, 2024)

Active learning strategies for robotic tactile texture recognition tasks. - Shemonto Das; Vinicius Prado da Fonseca; Amílcar Soares 001 (Frontiers Robotics AI, 2024)

The Use of Momentum-Inspired Features in Pre-Game Prediction Models for the Sport of Ice Hockey. - Jordan Truman Paul Noel; Vinicius Prado da Fonseca; Amílcar Soares 001 (Int. J. Comput. Sci. Sport, 2024)

Visualizing Feature Importance of Time Series Data in Discrete-Event Simulations using Shapley Additive Explanations. - Samuele Giussani; Rafael Messias Martins; Amílcar Soares 001; Mauro Caporuscio; Diego Perez-Palacin (SIGSIM-PADS, 2025)

A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data. - Yashat Tavakoli; Amílcar Soares 001; Lourdes Pena (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)