Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends. Mahmoud, S., Gil, J. M., Praher, P., Freudenthaler, B., & Girkinger, A. In Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings, pages 184–191, 2021. Paper doi bibtex @inproceedings{DBLP:conf/dexaw/MahmoudGPFG21,
author = {Salma Mahmoud and
Jorge Mart{\'{\i}}nez Gil and
Patrick Praher and
Bernhard Freudenthaler and
Alexander Girkinger},
title = {Deep Learning Rule for Efficient Changepoint Detection in the Presence
of Non-Linear Trends},
booktitle = {Database and Expert Systems Applications - {DEXA} 2021 Workshops -
BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event,
September 27-30, 2021, Proceedings},
pages = {184--191},
year = {2021},
crossref = {DBLP:conf/dexaw/2021},
url = {https://doi.org/10.1007/978-3-030-87101-7\_18},
doi = {10.1007/978-3-030-87101-7\_18},
timestamp = {Mon, 26 Jun 2023 20:42:59 +0200},
biburl = {https://dblp.org/rec/conf/dexaw/MahmoudGPFG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Downloads: 0
{"_id":"FeiA7jpT6uqNnT9X7","bibbaseid":"mahmoud-gil-praher-freudenthaler-girkinger-deeplearningruleforefficientchangepointdetectioninthepresenceofnonlineartrends-2021","author_short":["Mahmoud, S.","Gil, J. M.","Praher, P.","Freudenthaler, B.","Girkinger, A."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Salma"],"propositions":[],"lastnames":["Mahmoud"],"suffixes":[]},{"firstnames":["Jorge","Martínez"],"propositions":[],"lastnames":["Gil"],"suffixes":[]},{"firstnames":["Patrick"],"propositions":[],"lastnames":["Praher"],"suffixes":[]},{"firstnames":["Bernhard"],"propositions":[],"lastnames":["Freudenthaler"],"suffixes":[]},{"firstnames":["Alexander"],"propositions":[],"lastnames":["Girkinger"],"suffixes":[]}],"title":"Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends","booktitle":"Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings","pages":"184–191","year":"2021","crossref":"DBLP:conf/dexaw/2021","url":"https://doi.org/10.1007/978-3-030-87101-7\\_18","doi":"10.1007/978-3-030-87101-7_18","timestamp":"Mon, 26 Jun 2023 20:42:59 +0200","biburl":"https://dblp.org/rec/conf/dexaw/MahmoudGPFG21.bib","bibsource":"dblp computer science bibliography, https://dblp.org","bibtex":"@inproceedings{DBLP:conf/dexaw/MahmoudGPFG21,\n author = {Salma Mahmoud and\n Jorge Mart{\\'{\\i}}nez Gil and\n Patrick Praher and\n Bernhard Freudenthaler and\n Alexander Girkinger},\n title = {Deep Learning Rule for Efficient Changepoint Detection in the Presence\n of Non-Linear Trends},\n booktitle = {Database and Expert Systems Applications - {DEXA} 2021 Workshops -\n BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event,\n September 27-30, 2021, Proceedings},\n pages = {184--191},\n year = {2021},\n crossref = {DBLP:conf/dexaw/2021},\n url = {https://doi.org/10.1007/978-3-030-87101-7\\_18},\n doi = {10.1007/978-3-030-87101-7\\_18},\n timestamp = {Mon, 26 Jun 2023 20:42:59 +0200},\n biburl = {https://dblp.org/rec/conf/dexaw/MahmoudGPFG21.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n","author_short":["Mahmoud, S.","Gil, J. M.","Praher, P.","Freudenthaler, B.","Girkinger, A."],"key":"DBLP:conf/dexaw/MahmoudGPFG21","id":"DBLP:conf/dexaw/MahmoudGPFG21","bibbaseid":"mahmoud-gil-praher-freudenthaler-girkinger-deeplearningruleforefficientchangepointdetectioninthepresenceofnonlineartrends-2021","role":"author","urls":{"Paper":"https://doi.org/10.1007/978-3-030-87101-7\\_18"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://dblp.org/pers/tb2/g/Gil:Jorge_Mart=iacute=nez.bib","dataSources":["g7pAtJrn6FWZ8cSm4","QGxcr4McbQHzSo2xx"],"keywords":[],"search_terms":["deep","learning","rule","efficient","changepoint","detection","presence","non","linear","trends","mahmoud","gil","praher","freudenthaler","girkinger"],"title":"Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends","year":2021}