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Computerized Consensus Diagnosis: A Classification Strategy for the Robust Analysis of MR spectra. I. Application to 1H Spectra of Thyroid Neoplasms

, , , , , , , , , , , and . Magnetic Resonance Medicine, 33 (2): 257--263 (February 1995)

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Identification of signatures in biomedical spectra using domain knowledge., , , and . Artif. Intell. Medicine, 35 (3): 215-226 (2005)On Classification Models of Gene Expression Microarrays: The Simpler the Better., and . IJCNN, page 3572-3579. IEEE, (2006)Snakes simplified., , and . Pattern Recognit., 33 (10): 1651-1664 (2000)Liknon Feature Selection for Microarrays., and . WILF, volume 4578 of Lecture Notes in Computer Science, page 580-587. Springer, (2007)Reducing the Overconfidence of Base Classifiers when Combining Their Decisions., , and . Multiple Classifier Systems, volume 2709 of Lecture Notes in Computer Science, page 65-73. Springer, (2003)Control of Sparseness for Feature Selection., , , and . SSPR/SPR, volume 3138 of Lecture Notes in Computer Science, page 707-715. Springer, (2004)Neural network classification of infrared spectra of control and Alzheimer's diseased tissue., , , , , , and . Artif. Intell. Medicine, 7 (1): 67-79 (1995)Application of Several Methods of Classification Fusion to Magnetic Resonance Spectra., and . Connect. Sci., 8 (3): 427-442 (1996)Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra., , and . ICPR (2), page 319-322. IEEE Computer Society, (2004)On Understanding and Assessing Feature Selection Bias., , and . AIME, volume 3581 of Lecture Notes in Computer Science, page 468-472. Springer, (2005)