[{"user_id":"103844","_id":"57325","language":[{"iso":"eng"}],"article_number":"109205","publication":"Fuzzy Sets and Systems","type":"journal_article","status":"public","volume":500,"author":[{"first_name":"Daniel","last_name":"Leite","full_name":"Leite, Daniel"},{"first_name":"Gabriella","full_name":"Casalino, Gabriella","last_name":"Casalino"},{"last_name":"Kaczmarek-Majer","full_name":"Kaczmarek-Majer, Katarzyna","first_name":"Katarzyna"},{"first_name":"Giovanna","full_name":"Castellano, Giovanna","last_name":"Castellano"}],"date_created":"2024-11-22T13:19:39Z","publisher":"Elsevier BV","date_updated":"2024-12-07T16:59:09Z","doi":"10.1016/j.fss.2024.109205","title":"Incremental learning and granular computing from evolving data streams: An application to speech-based bipolar disorder diagnosis","publication_identifier":{"issn":["0165-0114"]},"publication_status":"published","intvolume":"       500","citation":{"ama":"Leite D, Casalino G, Kaczmarek-Majer K, Castellano G. Incremental learning and granular computing from evolving data streams: An application to speech-based bipolar disorder diagnosis. <i>Fuzzy Sets and Systems</i>. 2024;500. doi:<a href=\"https://doi.org/10.1016/j.fss.2024.109205\">10.1016/j.fss.2024.109205</a>","chicago":"Leite, Daniel, Gabriella Casalino, Katarzyna Kaczmarek-Majer, and Giovanna Castellano. “Incremental Learning and Granular Computing from Evolving Data Streams: An Application to Speech-Based Bipolar Disorder Diagnosis.” <i>Fuzzy Sets and Systems</i> 500 (2024). <a href=\"https://doi.org/10.1016/j.fss.2024.109205\">https://doi.org/10.1016/j.fss.2024.109205</a>.","ieee":"D. Leite, G. Casalino, K. Kaczmarek-Majer, and G. Castellano, “Incremental learning and granular computing from evolving data streams: An application to speech-based bipolar disorder diagnosis,” <i>Fuzzy Sets and Systems</i>, vol. 500, Art. no. 109205, 2024, doi: <a href=\"https://doi.org/10.1016/j.fss.2024.109205\">10.1016/j.fss.2024.109205</a>.","bibtex":"@article{Leite_Casalino_Kaczmarek-Majer_Castellano_2024, title={Incremental learning and granular computing from evolving data streams: An application to speech-based bipolar disorder diagnosis}, volume={500}, DOI={<a href=\"https://doi.org/10.1016/j.fss.2024.109205\">10.1016/j.fss.2024.109205</a>}, number={109205}, journal={Fuzzy Sets and Systems}, publisher={Elsevier BV}, author={Leite, Daniel and Casalino, Gabriella and Kaczmarek-Majer, Katarzyna and Castellano, Giovanna}, year={2024} }","short":"D. Leite, G. Casalino, K. Kaczmarek-Majer, G. Castellano, Fuzzy Sets and Systems 500 (2024).","mla":"Leite, Daniel, et al. “Incremental Learning and Granular Computing from Evolving Data Streams: An Application to Speech-Based Bipolar Disorder Diagnosis.” <i>Fuzzy Sets and Systems</i>, vol. 500, 109205, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.fss.2024.109205\">10.1016/j.fss.2024.109205</a>.","apa":"Leite, D., Casalino, G., Kaczmarek-Majer, K., &#38; Castellano, G. (2024). Incremental learning and granular computing from evolving data streams: An application to speech-based bipolar disorder diagnosis. <i>Fuzzy Sets and Systems</i>, <i>500</i>, Article 109205. <a href=\"https://doi.org/10.1016/j.fss.2024.109205\">https://doi.org/10.1016/j.fss.2024.109205</a>"},"year":"2024"}]