Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Olivier Verscheure"'
Publikováno v:
Revue Médicale Suisse. 17:524-528
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a97b256aa50fcb1769af2e2ea019cc1e
https://doi.org/10.53738/revmed.2021.17.730.0524
https://doi.org/10.53738/revmed.2021.17.730.0524
Publikováno v:
Revue medicale suisse. 17(730)
A consortium of Swiss universities has set up a dashboard providing daily 7-day epidemic forecasting for 209 countries and territories around the world. Relayed on social networks, international media, and the sites of major public health agencies, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::24beab4bb7e2290051337e4347101eaf
https://pubmed.ncbi.nlm.nih.gov/33755361
https://pubmed.ncbi.nlm.nih.gov/33755361
Our abilities to collect, store and analyse scientific data have sky-rocketed in the past decades, but at the same time, a disconnect between data scientists, domain experts and data providers has begun to emerge. Data scientists are developing more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eab18d6bf69f797ba152c8a96fd85ce
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 21:245-258
Multimedia stream mining applications require the identification of several different attributes in data content, and hence rely on a set of cascaded statistical classifiers to filter and process the data dynamically. In this paper, we introduce a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2bffbff7917ec35c8c1c16a41c687f4
https://doi.org/10.1109/tcsvt.2010.2057012
https://doi.org/10.1109/tcsvt.2010.2057012
Autor:
Deepak Turaga, Henrique Andrade, Buğra Gedik, Chitra Venkatramani, Olivier Verscheure, Jeffrey David Harris, John Cox, William Szewczyk, Paul Jones
Publikováno v:
Software: Practice and Experience. 40:1073-1104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d185c859ab76082d8fcbe85466396ebf
https://doi.org/10.1002/spe.993
https://doi.org/10.1002/spe.993
Publikováno v:
The VLDB Journal. 18:77-98
This paper answers the following question; given a multiplicity of evolving 1-way conversations, can a machine or an algorithm discern the conversational pairs in an online fashion, without understanding the content of the communications? Our analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::577952865d38a9eafa2c133519903c4b
https://doi.org/10.1007/s00778-007-0087-5
https://doi.org/10.1007/s00778-007-0087-5
Publikováno v:
IEEE Signal Processing Letters. 15:761-764
Stream mining applications require the identification of several different attributes in data content and hence rely on a distributed set of cascaded statistical classifiers to filter and process the data dynamically. In this letter, we introduce a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a872369684fc74d4198922572d8cc67d
https://doi.org/10.1109/lsp.2008.2001566
https://doi.org/10.1109/lsp.2008.2001566
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 1:548-563
Networks of classifiers are capturing the attention of system and algorithmic researchers because they offer improved accuracy over single model classifiers, can be distributed over a network of servers for improved scalability, and can be adapted to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f18b1cab36432f11cb25974382d0176
https://doi.org/10.1109/jstsp.2007.909368
https://doi.org/10.1109/jstsp.2007.909368
Autor:
Ioannis Katakis, Olivier Verscheure, Dimitrios Gunopulos, Vana Kalogeraki, Katharina Morik, Gennady Andrienko, Yannis Ioannidis
Publikováno v:
Information Systems. 57:75-76
Modern cities are flooded with data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens׳ quality of life. From a data science perspective, data emerging from sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae92bb57d59ab7afcb5c07ea60e8c721
https://doi.org/10.1016/j.is.2016.01.001
https://doi.org/10.1016/j.is.2016.01.001
Autor:
Eric Bouillet, Olivier Verscheure, Alice Marascu, Pascal Pompey, Philippe Cudré-Mauroux, Martin Grund, Michael Wurst
Publikováno v:
BigData Conference
Large-scale critical infrastructures such as transportation, energy, or water distribution networks are increasingly equipped with smart sensor technologies. Low-latency analytics on the resulting times series would open the door to many exciting opp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::975ee09ece0ed67c6f83ea4306131c93
https://doi.org/10.1109/bigdata.2014.7004244
https://doi.org/10.1109/bigdata.2014.7004244