{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-multi-task-deep-learning-architecture-for","title":"A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams","arxiv_id":"1806.03972","date":"2018-06-06","proceeding":null,"authors":["Duong Nguyen","Rodolphe Vadaine","Guillaume Hajduch","René Garello","Ronan Fablet"],"abstract":"In a world of global trading, maritime safety, security and efficiency are\ncrucial issues. We propose a multi-task deep learning framework for vessel\nmonitoring using Automatic Identification System (AIS) data streams. We combine\nrecurrent neural networks with latent variable modeling and an embedding of AIS\nmessages to a new representation space to jointly address key issues to be\ndealt with when considering AIS data streams: massive amount of streaming data,\nnoisy data and irregular timesampling. We demonstrate the relevance of the\nproposed deep learning framework on real AIS datasets for a three-task setting,\nnamely trajectory reconstruction, anomaly detection and vessel type\nidentification.","url_abs":"http://arxiv.org/abs/1806.03972v3","url_pdf":"http://arxiv.org/pdf/1806.03972v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-multi-task-deep-learning-architecture-for","repo_url":"https://github.com/dnguyengithub/MultitaskAIS","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"anomaly-detection","task_name":"Anomaly Detection"},{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}