Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings
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[1] K. Deakins. Bronchopulmonary dysplasia. , 2009, Respiratory care.
[2] Waldemar W. Koczkodaj,et al. Classifying visual objects with the consistency-driven pairwise comparisons method , 2009 .
[3] Lotfi A. Zadeh,et al. Is Probability Theory Sufficient for Dealing with Uncertainty in AI: A Negative View , 1985, UAI.
[4] O. Mangasarian. Linear and Nonlinear Separation of Patterns by Linear Programming , 1965 .
[5] M. Walsh,et al. Impact of a Physiologic Definition on Bronchopulmonary Dysplasia Rates , 2004, Pediatrics.
[6] C. Grandi,et al. Bronchopulmonary dysplasia: incidence, risk factors and resource utilization in a population of South American very low birth weight infants. , 2006, Jornal de pediatria.
[7] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[8] Diego A. Alvarez,et al. Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room , 2005, Critical care.
[9] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[10] Jerne Nk. Towards a network theory of the immune system. , 1974 .
[11] Matthias Schroder,et al. Logistic Regression: A Self-Learning Text , 2003 .
[12] J. Torday,et al. Prevention and Treatment of Bronchopulmonary Dysplasia: Contemporary Status and Future Outlook , 2008, Lung.
[13] Fernando José Von Zuben,et al. Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..
[14] Edward H. Shortliffe,et al. From certainty factors to belief networks , 1992, Artif. Intell. Medicine.
[15] Tom Fawcett,et al. ROC Graphs: Notes and Practical Considerations for Data Mining Researchers , 2003 .
[16] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[17] Wieslaw Wajs,et al. Bronchopulmonary Dysplasia Prediction using Logistic Regression , 2006, Sixth International Conference on Intelligent Systems Design and Applications.
[18] David G. Kleinbaum,et al. Logistic Regression. A Self- Learning Text , 1994 .
[19] Fernando José Von Zuben,et al. An Evolutionary Immune Network for Data Clustering , 2000, SBRN.
[20] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[21] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[22] Alexander J. Smola,et al. Advances in Large Margin Classifiers , 2000 .