{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T08:05:07Z","timestamp":1762761907730,"version":"3.41.2"},"reference-count":0,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:p> Sleep is a fundamental restorative process for human mental and physical health. Considering the risks that sleep disorders can present, sleep analysis is considered as a primordial task to identify the different abnormalities. Sleep scoring is the gold standard for human sleep analysis. The manual sleep scoring task is considered exhausting, subjective, time-consuming and error prone. Moreover, sleep scoring is based on fixed epoch lengths usually of 30 seconds, which leads to an information loss problem. In this paper, we propose an automatic unsupervised sleep scoring model. The aim of our work is to consider different epoch\u2019s durations to classify sleep stages. Therefore, we developed a model based on Hierarchical Multi-Agent Systems (HMASs) that presents different layers where each layer contains a number of adaptive agents working with a specific time epoch. The effectiveness of our approach was investigated using real electroencephalography (EEG) data. Good results were reached according to a comparative study realized with the often used machine learning techniques for sleep stages classification problems. <\/jats:p>","DOI":"10.1142\/s0218213022500026","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T10:11:51Z","timestamp":1653991911000},"source":"Crossref","is-referenced-by-count":3,"title":["Hierarchical Multi-agent System for Sleep Stages Classification"],"prefix":"10.1142","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0795-550X","authenticated-orcid":false,"given":"Yasmine","family":"Amor","sequence":"first","affiliation":[{"name":"Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, SMART Lab, 41 Avenue de la Libert\u00e9, Bouchoucha, Bardo, 2000, Tunis, Tunisie"}]},{"given":"Lilia","family":"Rejeb","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, SMART Lab, 41 Avenue de la Libert\u00e9, Bouchoucha, Bardo, 2000, Tunis, Tunisie"}]},{"given":"Rahma","family":"Ferjeni","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, SMART Lab, 41 Avenue de la Libert\u00e9, Bouchoucha, Bardo, 2000, Tunis, Tunisie"}]},{"given":"Lamjed","family":"Ben Said","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, SMART Lab, 41 Avenue de la Libert\u00e9, Bouchoucha, Bardo, 2000, Tunis, Tunisie"}]},{"given":"Mohamed Ridha","family":"Ben Cheikh","sequence":"additional","affiliation":[{"name":"Laboratoire des technologies de l\u2019imagerie m\u00e9dicale. Facult\u00e9 de m\u00e9decine de Monastir Universit\u00e9 de Monastir, Avenue Ibn Sina, Monastir, 5000, Tunisia"}]}],"member":"219","published-online":{"date-parts":[[2022,6,1]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213022500026","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T11:32:42Z","timestamp":1660649562000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218213022500026"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,1]]},"references-count":0,"journal-issue":{"issue":"05","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["10.1142\/S0218213022500026"],"URL":"https:\/\/doi.org\/10.1142\/s0218213022500026","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"type":"print","value":"0218-2130"},{"type":"electronic","value":"1793-6349"}],"subject":[],"published":{"date-parts":[[2022,6,1]]},"article-number":"2250002"}}