Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Markus Anderle"'
Autor:
Markus Anderle, Chenxi Li, Harshavardhan Utharavalli, Caiming Xiong, Jia Li, Simo Arajarvi, Latrice Barnett, Wenzhuo Yang, Steven C. H. Hoi
Publikováno v:
CIKM
This paper introduces an enterprise app recommendation problem with a new "to-business'' use case, which aims to assist a sales team acting as the bridge connecting the applications and developers with the customers who apply these apps to solve thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1c538e65a15b3115413690a71b0710
https://doi.org/10.1145/3459637.3481940
https://doi.org/10.1145/3459637.3481940
Publikováno v:
International Journal of Mass Spectrometry. 238:163-171
A liquid chromatography-mass spectrometry (LC-MS) proteomics and metabolomics platform is presented for quantitative differential expression analysis. Proteome profiles obtained from 1.5 μL of human serum show ∼5000 de-isotoped and quantifiable mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a90c18e095109e45f15dd2b2ee8ac95f
https://doi.org/10.1016/j.ijms.2004.03.017
https://doi.org/10.1016/j.ijms.2004.03.017
Publikováno v:
Bioinformatics. 20:3575-3582
Summary: Using replicated human serum samples, we applied an error model for proteomic differential expression profiling for a high-resolution liquid chromatography-mass spectrometry (LC-MS) platform. The detailed noise analysis presented here uses a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35b5d3abf3b2a42b4422630f6e46a3a1
https://doi.org/10.1093/bioinformatics/bth446
https://doi.org/10.1093/bioinformatics/bth446
Autor:
Andrea M. Perrone, Christopher H. Becker, Weixun Wang, Harini Govindarajan, Aaron B. Kantor, Markus Anderle, Hua Lin
Publikováno v:
Clinical Immunology. 111:186-195
There is a well-recognized but unmet need for biological markers to characterize disease type, status, progression, and response to therapy in autoimmune diseases. We are developing and applying an integrated bioanalytical platform and clinical resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f514c5e47b6dd54b789e974eb9fc1d3
https://doi.org/10.1016/j.clim.2003.12.011
https://doi.org/10.1016/j.clim.2003.12.011
Autor:
Scott M. Norton, Praveen Kumar, Thomas A. Shaler, Lander R. Hill, Haihong Zhou, Markus Anderle, Weixun Wang, Sushmita Mimi Roy, Christopher H. Becker, Hua Lin
Publikováno v:
Analytical Chemistry. 75:4818-4826
A new method is presented for quantifying proteomic and metabolomic profile data by liquid chromatography-mass spectrometry (LC-MS) with electrospray ionization. This biotechnology provides differential expression measurements and enables the discove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a44ddfd62571db203d327120c26f9cf9
https://doi.org/10.1021/ac026468x
https://doi.org/10.1021/ac026468x
Publikováno v:
Signal Processing. 82:1505-1508
It is shown that the independent components required to separate linearly mixed sources may be obtained by solving the generalized singular vector equation associated with a maximum signal fraction approach. This perspective permits the identificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9d02b8b970137b8074bbf7ef601aa99
https://doi.org/10.1016/s0165-1684(02)00342-0
https://doi.org/10.1016/s0165-1684(02)00342-0
Publikováno v:
Intelligent Data Analysis. 6:85-104
We present a graphical method for evaluating the quality of a feature extraction mapping. Based on the Bilipschitz criterion, this Bilipschitz Criterion Plot (BCP) can be used to evaluate dimension reducing mappings for relative quality and to estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00eb12addcaaa88b70ae1834b2dbcff0
https://doi.org/10.3233/ida-2002-6106
https://doi.org/10.3233/ida-2002-6106
Publikováno v:
KDD
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of fraud detection due to the high cost of fraud, and being able to autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aac407c4142ca441af32f81028f0061
https://doi.org/10.1145/1557019.1557155
https://doi.org/10.1145/1557019.1557155
Publikováno v:
ICDM
In recent years, there have been several large accounting frauds where a company's financial results have been intentionally misrepresented by billions of dollars. In response, regulatory bodies have mandated that auditors perform analytics on detail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794710be07f430b9d2a4e69c45af6059
https://doi.org/10.1109/icdm.2006.93
https://doi.org/10.1109/icdm.2006.93
Autor:
Markus Anderle, Michael Kirby
Publikováno v:
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
A model validation test based on simple linear autocorrelation is proposed as an objective method to determine the optimal number of units in the hidden layer of a radial basis function network. The data to be fitted is assumed to consist of a signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::480f7b0eab3cfbe9e8b307d1069f4fed
https://doi.org/10.1109/ijcnn.2001.938462
https://doi.org/10.1109/ijcnn.2001.938462