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Volumn , Issue , 2012, Pages 3345-3348

Effective multiple classifier systems for breast thermogram analysis

Author keywords

[No Author keywords available]

Indexed keywords

BILATERAL SYMMETRY; BREAST CANCER; CLASSIFICATION APPROACH; CLASSIFIER ENSEMBLES; DATA SUBSETS; EFFECTIVE APPROACHES; FEATURE SUBSPACE; IMBALANCED CLASS; INDIVIDUAL CLASSIFIERS; MEDICAL DECISION MAKING; MULTIPLE CLASSIFIER SYSTEMS; SMALL TUMORS; THERMAL INFRARED;

EID: 84874570964     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (19)
  • 1
    • 0033570831 scopus 로고    scopus 로고
    • Combined 5 x 2 cv f test for comparing supervised classification learning algorithms
    • E. Alpaydin. Combined 5 x 2 cv f test for comparing supervised classification learning algorithms. Neural Computation, 11(8):1885-1892, 1999.
    • (1999) Neural Computation , vol.11 , Issue.8 , pp. 1885-1892
    • Alpaydin, E.1
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 14
    • 59149100964 scopus 로고    scopus 로고
    • Thermography based breast cancer analysis using statistical features and fuzzy classification
    • G. Schaefer, M. Zavisek, and T. Nakashima. Thermography based breast cancer analysis using statistical features and fuzzy classification. Pattern Recognition, 42(6):1133-1137, 2009.
    • (2009) Pattern Recognition , vol.42 , Issue.6 , pp. 1133-1137
    • Schaefer, G.1    Zavisek, M.2    Nakashima, T.3
  • 18
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • L. Yu and H. Liu. Efficient feature selection via analysis of relevance and redundancy. Journal of Machine Learning Research, pages 1205-1224, 2004.
    • (2004) Journal of Machine Learning Research , pp. 1205-1224
    • Yu, L.1    Liu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.