Result 1 to 20 from 39 total
Combining metaheuristic algorithms to solve a scheduling problem. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 7th international conference, HAIS 2012, Salamanca, Spain, March 28‒30, 2012. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-28930-9/pbk). Lecture Notes in Computer Science 7209. Lecture Notes in Artificial Intelligence, 381-391 (2012).
1
WeVoS-ViSOM: an ensemble summarization algorithm for enhanced data visualization. (English)
Neurocomputing 75, 171-184 (2012).
2
Hybrid classification ensemble using topology-preserving clustering. (English)
New Generation Comput. 29, No. 3, 329-344 (2011).
3
Genetic algorithms to simplify prognosis of endocarditis. (English)
Yin, Hujun (ed.) et al., Intelligent data engineering and automated learning ‒ IDEAL 2011. 12th international conference, Norwich, UK, September 7‒9, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23877-2/pbk). Lecture Notes in Computer Science 6936, 454-462 (2011).
4
Clustering ensemble for spam filtering. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 6th international conference, HAIS 2011, Wroclaw, Poland, May 23‒25, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21221-5/pbk). Lecture Notes in Computer Science 6679. Lecture Notes in Artificial Intelligence, 363-372 (2011).
5
A topology-preserving system for environmental models forecasting. (English)
Int. J. Comput. Math. 88, No. 9, 1979-1989 (2011).
6
Testing ensembles for intrusion detection: On the identification of mutated network scans. (English)
Herrero, Álvaro (ed.) et al., Computational intelligence in security for information systems. 4th international conference, CISIS 2011, held at IWANN 2011, Torremolinos-Málaga, Spain, June 8‒10, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-21322-9/pbk). Lecture Notes in Computer Science 6694, 109-117 (2011).
7
Hybrid classification ensemble using topology-preserving clustering (English)
New Generation Comput. 29, No. 3, 329-344 (2011).
8
Fusion methods for unsupervised learning ensembles (English)
Studies in Computational Intelligence 322, 1-125 (2011).
9
Nature-inspired ensembles to detect SNMP anomalous situations (English)
NaBIC, 641-645 (2011).
10
Clustering ensemble for spam filtering (English)
HAIS (2), 363-372 (2011).
11
Genetic algorithms to simplify prognosis of endocarditis (English)
IDEAL, 454-462 (2011).
12
Testing ensembles for intrusion detection: on the identification of mutated network scans (English)
CISIS, 109-117 (2011).
13
Complications detection in treatment for bacterial endocarditis (English)
DCAI, 241-248 (2011).
14
A weighted voting summarization of SOM ensembles. (English)
Data Min. Knowl. Discov. 21, No. 3, 398-426 (2010).
15
Fusion methods for unsupervised learning ensembles. (English)
Studies in Computational Intelligence 322. Berlin: Springer (ISBN 978-3-642-16204-6/hbk; 978-3-642-16205-3/ebook). xvii, 141~p. EUR~99.95/net; SFR~143.50; \sterling~90.00 (2010).
16
A forecasting solution to the oil spill problem based on a hybrid intelligent system. (English)
Inf. Sci. 180, No. 10, 2029-2043 (2010).
17
A bio-inspired fusion method for data visualization. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligence systems. 5th international conference, HAIS 2010, San Sebastián, Spain, June 23‒25, 2010. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-13802-7/pbk). Lecture Notes in Computer Science 6077. Lecture Notes in Artificial Intelligence, 501-509 (2010).
18
A weighted voting summarization of SOM ensembles (English)
Data Min. Knowl. Discov. 21, No. 3, 398-426 (2010).
19
A bio-inspired fusion method for data visualization (English)
HAIS (2), 501-509 (2010).
20
Result 1 to 20 from 39 total
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