Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning von de Souza, Erico N, Boerder, Kristina, Matwin, Stan, Worm, Boris

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

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A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data von Esmin, Ahmed A. A., Coelho, Rodrigo A., Matwin, Stan

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A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels von Ferreira, Martha Dais, Spadon, Gabriel, Soares, Amilcar, Matwin, Stan

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Anomaly detection for maritime navigation based on probability density function of error of reconstruction von Sadeghi, Zahra, Matwin, Stan

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Causal generative explainers using counterfactual inference: a case study on the Morpho-MNIST dataset von Taylor-Melanson, Will, Sadeghi, Zahra, Matwin, Stan

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Exploring autoregression patterns for automatic vessel type classification von Ferreira, Martha Dais, Sadeghi, Zahra, Matwin, Stan

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Building navigation networks from multi-vessel trajectory data von Varlamis, Iraklis, Kontopoulos, Ioannis, Tserpes, Konstantinos, Etemad, Mohammad, Soares, Amilcar, Matwin, Stan

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Local differentially private federated learning with homomorphic encryption von Zhao, Jianzhe, Huang, Chenxi, Wang, Wenji, Xie, Rulin, Dong, Rongrong, Matwin, Stan

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A novel machine learning approach to analyzing geospatial vessel patterns using AIS data von Ferreira, Martha Dais, Campbell, Jessica N.A., Matwin, Stan

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Examining the impact of cross-domain learning on crime prediction von Bappee, Fateha Khanam, Soares, Amilcar, Petry, Lucas May, Matwin, Stan

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Discovery Science: 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings von Appice, Annalisa, Tsoumakas, Grigorios, Manolopoulos, Yannis, Matwin, Stan

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

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SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels von Etemad, Mohammad, Soares, Amilcar, Etemad, Elham, Rose, Jordan, Torgo, Luis, Matwin, Stan

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Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques von Jelodar, Hamed, Orji, Rita, Matwin, Stan, Weerasinghe, Swarna, Oyebode, Oladapo, Wang, Yongli

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

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Dynamics of emotion trends in Canadian Twitter users during COVID-19 confinement in relation to caseloads: Artificial intelligence-based emotion detection approach von Weerasinghe, Swarna, Oyebode, Oladapo, Orji, Rita, Matwin, Stan

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Risk-Aware Individual Trajectory Data Publishing With Differential Privacy von Zhao, Jianzhe, Mei, Jie, Matwin, Stan, Su, Yukai, Yang, Yuancheng

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Multiple-Aspect Analysis of Semantic Trajectories: First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Procee... von Tserpes, Konstantinos, Renso, Chiara, Matwin, Stan

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

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