{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T18:22:28Z","timestamp":1768414948091,"version":"3.49.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs). PDs exhibit, however, complex structure and are difficult to integrate in today's machine learning workflows. This paper introduces persistence bag-of-words: a novel and stable vectorized representation of PDs that enables the seamless integration with machine learning. Comprehensive experiments show that the new representation achieves state-of-the-art performance and beyond in much less time than alternative approaches.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/624","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:46:05Z","timestamp":1564285565000},"page":"4489-4495","source":"Crossref","is-referenced-by-count":6,"title":["Persistence Bag-of-Words for Topological Data Analysis"],"prefix":"10.24963","author":[{"given":"Bartosz","family":"Zieli\u0144ski","sequence":"first","affiliation":[{"name":"The Institute of Computer Science and Computer Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micha\u0142","family":"Lipi\u0144ski","sequence":"additional","affiliation":[{"name":"The Institute of Computer Science and Computer Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mateusz","family":"Juda","sequence":"additional","affiliation":[{"name":"The Institute of Computer Science and Computer Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Zeppelzauer","sequence":"additional","affiliation":[{"name":"Media Computing Group, Institute of Creative Media Technologies, St. P\u00f6lten University of Applied Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pawe\u0142","family":"D\u0142otko","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Swansea Academy of Advanced Computing, Swansea University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","theme":"Artificial Intelligence","location":"Macao, China","acronym":"IJCAI-2019","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2019,8,10]]},"end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:50:32Z","timestamp":1564285832000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/624"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/624","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}