Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/FA7A92E8-8C81-4CE7-B0C8-B835AE977FF8 | - |
| Identifier | https://doi.org/10.1109/IEMBS.2006.260778 | - |
| Language | en | - |
| Extent | 4 pages | en |
| Title | Classifier fusion approaches for diagnostic cancer models | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | Dimou Ioannis | en |
| Creator | Δημου Ιωαννης | el |
| Creator | G.C. Manikis | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Classifier ensembles have produced promising results, improving accuracy, confidence and most importantly feature space coverage in many practical applications. The recent trend is to move from heuristic combinations of classifiers to more statistically sound integrated schemes to produce quantifiable results as far as error bounds and overall generalization capability are concerned. In this study, we are evaluating the use of an ensemble of 8 classifiers based on 15 different fusion strategies on two medical problems. We measure the base classifiers correlation using 11 commonly accepted metrics and provide the grounds for choosing an improved hyper-classifier | en |
| Type of Item | Αφίσα σε Συνέδριο | el |
| Type of Item | Conference Poster | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-23 | - |
| Date of Publication | 2006 | - |
| Subject | Clinical laboratory technicians | en |
| Subject | Medical laboratory technicians | en |
| Subject | medical technologists | en |
| Subject | clinical laboratory technicians | en |
| Subject | medical laboratory technicians | en |
| Bibliographic Citation | I.N. Dimou, G.C. Manikis, M.E. Zervakis," Classifier fusion approaches for diagnostic cancer models ,"in 2006 28th Annual Intern. Conf. of the IEEEE eng in Medicine and Biol. Society, EMBS,pp.5334 - 5337.doi:10.1109/IEMBS.2006.260778 | en |
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