{"type":"journal_article","publication":"Information Sciences","_id":"57330","year":"2023","doi":"10.1016/j.ins.2023.02.027","language":[{"iso":"eng"}],"author":[{"first_name":"Daniel","full_name":"Leite, Daniel","last_name":"Leite"},{"full_name":"Škrjanc, Igor","last_name":"Škrjanc","first_name":"Igor"},{"first_name":"Sašo","last_name":"Blažič","full_name":"Blažič, Sašo"},{"last_name":"Zdešar","full_name":"Zdešar, Andrej","first_name":"Andrej"},{"full_name":"Gomide, Fernando","last_name":"Gomide","first_name":"Fernando"}],"title":"Interval incremental learning of interval data streams and application to vehicle tracking","publication_identifier":{"issn":["0020-0255"]},"user_id":"103844","status":"public","intvolume":"       630","publication_status":"published","page":"1-22","volume":630,"citation":{"apa":"Leite, D., Škrjanc, I., Blažič, S., Zdešar, A., &#38; Gomide, F. (2023). Interval incremental learning of interval data streams and application to vehicle tracking. <i>Information Sciences</i>, <i>630</i>, 1–22. <a href=\"https://doi.org/10.1016/j.ins.2023.02.027\">https://doi.org/10.1016/j.ins.2023.02.027</a>","bibtex":"@article{Leite_Škrjanc_Blažič_Zdešar_Gomide_2023, title={Interval incremental learning of interval data streams and application to vehicle tracking}, volume={630}, DOI={<a href=\"https://doi.org/10.1016/j.ins.2023.02.027\">10.1016/j.ins.2023.02.027</a>}, journal={Information Sciences}, publisher={Elsevier BV}, author={Leite, Daniel and Škrjanc, Igor and Blažič, Sašo and Zdešar, Andrej and Gomide, Fernando}, year={2023}, pages={1–22} }","chicago":"Leite, Daniel, Igor Škrjanc, Sašo Blažič, Andrej Zdešar, and Fernando Gomide. “Interval Incremental Learning of Interval Data Streams and Application to Vehicle Tracking.” <i>Information Sciences</i> 630 (2023): 1–22. <a href=\"https://doi.org/10.1016/j.ins.2023.02.027\">https://doi.org/10.1016/j.ins.2023.02.027</a>.","ama":"Leite D, Škrjanc I, Blažič S, Zdešar A, Gomide F. Interval incremental learning of interval data streams and application to vehicle tracking. <i>Information Sciences</i>. 2023;630:1-22. doi:<a href=\"https://doi.org/10.1016/j.ins.2023.02.027\">10.1016/j.ins.2023.02.027</a>","ieee":"D. Leite, I. Škrjanc, S. Blažič, A. Zdešar, and F. Gomide, “Interval incremental learning of interval data streams and application to vehicle tracking,” <i>Information Sciences</i>, vol. 630, pp. 1–22, 2023, doi: <a href=\"https://doi.org/10.1016/j.ins.2023.02.027\">10.1016/j.ins.2023.02.027</a>.","short":"D. Leite, I. Škrjanc, S. Blažič, A. Zdešar, F. Gomide, Information Sciences 630 (2023) 1–22.","mla":"Leite, Daniel, et al. “Interval Incremental Learning of Interval Data Streams and Application to Vehicle Tracking.” <i>Information Sciences</i>, vol. 630, Elsevier BV, 2023, pp. 1–22, doi:<a href=\"https://doi.org/10.1016/j.ins.2023.02.027\">10.1016/j.ins.2023.02.027</a>."},"date_updated":"2024-12-07T17:00:15Z","publisher":"Elsevier BV","date_created":"2024-11-22T13:25:04Z"}