Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Olteanu Madalina"'
Publikováno v:
Neurocomputing, 2023, 555, pp.126634
The impact of outliers and anomalies on model estimation and data processing is of paramount importance, as evidenced by the extensive body of research spanning various fields over several decades: thousands of research papers have been published on
Externí odkaz:
http://arxiv.org/abs/2312.07101
Publikováno v:
30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Oct 2022, Bruges, Belgium
This paper presents an introduction to the state-of-the-art in anomaly and change-point detection. On the one hand, the main concepts needed to understand the vast scientific literature on those subjects are introduced. On the other, a selection of i
Externí odkaz:
http://arxiv.org/abs/2212.13520
Monitoring pesticide concentration is very important for public authorities given the major concerns for environmental safety and the likelihood for increased public health risks. An important aspect of this process consists in locating abnormal sign
Externí odkaz:
http://arxiv.org/abs/2212.10269
Autor:
Leblois Raphael, Olteanu Madalina, Bleakley Kevin, Schaeffer Brigitte, David Olivier, Austerlitz Frederic, Veuille Michel, Laredo Catherine
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 14, p S10 (2009)
Abstract Background DNA barcoding aims to assign individuals to given species according to their sequence at a small locus, generally part of the CO1 mitochondrial gene. Amongst other issues, this raises the question of how to deal with within-specie
Externí odkaz:
https://doaj.org/article/2412062ef7524c1abf5d8c7deb6578ef
Publikováno v:
Rojas I., Joya G., Catala A. (eds). Advances in Computational Intelligence, part 1, IWANN 2019, vol 11506, Springer, Cham, pp.162-173, 2019, Lecture Notes in Computer Science
The anomaly detection problem for univariate or multivariate time series is a critical question in many practical applications as industrial processes control, biological measures, engine monitoring, supervision of all kinds of behavior. In this pape
Externí odkaz:
http://arxiv.org/abs/2010.07420
Akademický článek
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We develop a "multifocal" approach to reveal spatial dissimilarities in cities, from the most local scale to the metropolitan one. Think for instance of a statistical variable that may be measured at different scales, eg ethnic group proportions, soc
Externí odkaz:
http://arxiv.org/abs/1801.00336
We introduce a multidimensional, neural-network approach to reveal and measure urban segregation phenomena, based on the Self-Organizing Map algorithm (SOM). The multidimensionality of SOM allows one to apprehend a large number of variables simultane
Externí odkaz:
http://arxiv.org/abs/1705.03213
Akademický článek
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Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2019 Nov 01. 116(45), 22437-22437.
Externí odkaz:
https://www.jstor.org/stable/26860578