Result 1 to 20 of 34 total
Supporting diagnostics of coronary artery disease with neural networks. (English)
Dobnikar, Andrej (ed.) et al., Adaptive and natural computing algorithms. 10th international conference, ICANNGA 2011, Ljubljana, Slovenia, April 14‒16, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-20281-0/pbk). Lecture Notes in Computer Science 6593, 80-89 (2011).
1
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease. (English)
Artif. Intell. Med. 52, No. 2, 77-90 (2011).
2
Supporting diagnostics of coronary artery disease with neural networks (English)
ICANNGA (1), 80-89 (2011).
3
Separating interleaved HTTP sessions using a stochastic model. (English)
Informatica, Ljubl. 34, No. 2, 199-205 (2010).
4
Separation of interleaved web sessions with heuristic search (English)
ICDM, 411-420 (2010).
5
Improving probabilistic interpretation of medical diagnoses with multi-resolution image parameterization: A case study. (English)
Combi, Carlo (ed.) et al., Artificial intelligence in medicine. 12th conference on artificial intelligence in medicine, AIME 2009, Verona, Italy, July 18‒22, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02975-2/pbk). Lecture Notes in Computer Science 5651. Lecture Notes in Artificial Intelligence, 136-145 (2009).
6
Supporting diagnostics of coronary artery disease with multi-resolution image parameterization and data mining. (English)
Gagalowicz, André (ed.) et al., Computer vision/computer graphics collaboration techniques. 4th international conference, MIRAGE 2009, Rocquencourt, France, May 4‒6, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-01810-7/pbk). Lecture Notes in Computer Science 5496, 356-367 (2009).
7
Supporting diagnostics of coronary artery disease with multi-resolution image parameterization and data mining (English)
MIRAGE, 356-367 (2009).
8
Improving probabilistic interpretation of medical diagnoses with multi-resolution image parameterization: A case study (English)
AIME, 136-145 (2009).
9
Transductive reliability estimation for kernel based classifiers. (English)
Berthold, Michael R. (ed.) et al., Advances in intelligent data analysis VII. 7th international symposium on intelligent data analysis, IDA 2007, Ljubljana, Slovenia, September 6‒8, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-74824-3/pbk). Lecture Notes in Computer Science 4723, 37-47 (2007).
10
Multi-resolution image parametrization in stepwise diagnostics of coronary artery disease (English)
AIME, 119-129 (2007).
11
Transductive reliability estimation for kernel based classifiers (English)
IDA, 37-47 (2007).
12
Quality assessment of individual classifications in machine learning and data mining. (English)
Knowl. Inf. Syst. 9, No. 3, 364-384 (2006).
13
Quality assessment of individual classifications in machine learning and data mining. (English)
Knowl. Inf. Syst. 9, No. 3, 364-384 (2006).
14
Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics. (English)
Comput. Methods Progr. Biomed. 80, No. 1, 47-55 (2005).
15
Automatic segmentation of whole-body bone scintigrams as a preprocessing step for computer assisted diagnostics (English)
AIME, 363-372 (2005).
16
Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. med. 29: 81-$106(2003)]$. (English)
Artif. Intell. Med. 30, No. 2, 199 (2004).
17
Transduction and typicalness for quality assessment of individual classifications in machine learning and data mining (English)
ICDM, 146-153 (2004).
18
Estimating confidence values of individual predictions by their typicalness and reliability (English)
ECAI, 1045-1046 (2004).
19
Transductive reliability estimation for medical diagnosis. (English)
Artif. Intell. Med. 29, No. 1-2, 81-106 (2003).
20
Result 1 to 20 of 34 total
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