Suykens JA - Search Results

1

Sleep apnea classification using least-squares support vector machines on single lead ECG.

Varon C, Testelmans D, Buyse B, Suykens JA, Van Huffel S. Varon C, et al. Among authors: suykens ja. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5029-32. doi: 10.1109/EMBC.2013.6610678. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24110865

2

Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis.

Varon C, Testelmans D, Buyse B, Suykens JA, Van Huffel S. Varon C, et al. Among authors: suykens ja. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3151-4. doi: 10.1109/EMBC.2012.6346633. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366594

3

Application of kernel principal component analysis for single-lead-ECG-derived respiration.

Widjaja D, Varon C, Dorado AC, Suykens JA, Van Huffel S. Widjaja D, et al. Among authors: suykens ja. IEEE Trans Biomed Eng. 2012 Apr;59(4):1169-76. doi: 10.1109/TBME.2012.2186448. IEEE Trans Biomed Eng. 2012. PMID: 22438200

4

A tutorial on support vector machine-based methods for classification problems in chemometrics.

Luts J, Ojeda F, Van de Plas R, De Moor B, Van Huffel S, Suykens JA. Luts J, et al. Among authors: suykens ja. Anal Chim Acta. 2010 Apr 30;665(2):129-45. doi: 10.1016/j.aca.2010.03.030. Epub 2010 Mar 24. Anal Chim Acta. 2010. PMID: 20417323

5

Explaining Support Vector Machines: A Color Based Nomogram.

Van Belle V, Van Calster B, Van Huffel S, Suykens JA, Lisboa P. Van Belle V, et al. Among authors: suykens ja. PLoS One. 2016 Oct 10;11(10):e0164568. doi: 10.1371/journal.pone.0164568. eCollection 2016. PLoS One. 2016. PMID: 27723811 Free PMC article.

6

Functional form estimation using oblique projection matrices for LS-SVM regression models.

Caicedo A, Varon C, Van Huffel S, Suykens JAK. Caicedo A, et al. PLoS One. 2019 Jun 7;14(6):e0217967. doi: 10.1371/journal.pone.0217967. eCollection 2019. PLoS One. 2019. PMID: 31173619 Free PMC article.

7

Additive survival least-squares support vector machines.

Van Belle V, Pelckmans K, Suykens JA, Van Huffel S. Van Belle V, et al. Among authors: suykens ja. Stat Med. 2010 Jan 30;29(2):296-308. doi: 10.1002/sim.3743. Stat Med. 2010. PMID: 20024943

8

Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis.

Lu C, Devos A, Suykens JA, Arús C, Van Huffel S. Lu C, et al. Among authors: suykens ja. IEEE Trans Inf Technol Biomed. 2007 May;11(3):338-47. doi: 10.1109/titb.2006.889702. IEEE Trans Inf Technol Biomed. 2007. PMID: 17521084

9

Support vector methods for survival analysis: a comparison between ranking and regression approaches.

Van Belle V, Pelckmans K, Van Huffel S, Suykens JA. Van Belle V, et al. Among authors: suykens ja. Artif Intell Med. 2011 Oct;53(2):107-18. doi: 10.1016/j.artmed.2011.06.006. Epub 2011 Aug 6. Artif Intell Med. 2011. PMID: 21821401

10

Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.

Lu C, Van Gestel T, Suykens JA, Van Huffel S, Vergote I, Timmerman D. Lu C, et al. Among authors: suykens ja. Artif Intell Med. 2003 Jul;28(3):281-306. doi: 10.1016/s0933-3657(03)00051-4. Artif Intell Med. 2003. PMID: 12927337

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