论文信息 - Feature Selection for Privileged Modalities in Disease Classification - 字舞流文

Feature Selection for Privileged Modalities in Disease Classification

Kayvan Najarian | Jonathan Gryak | Jonas Bianchi | Erika Benavides | Fabiana Soki | Marilia Yatabe | Antonio Ruellas | Reza Soroushmehr | Winston Zhang | Najla Al Turkestani | Celia Le | Romain Deleat-Besson | Lucia H. S. Cevidanes | Lucia Cevidanes | Joao Gonçalves | Juan Prieto | Beatriz Paniagua | K. Najarian | J. Gryak | E. Benavides | J. Gonçalves | A. Ruellas | M. Yatabe | J. Bianchi | F. Soki | Reza Soroushmehr | Beatriz Paniagua | Celia Le | Romain Deleat-Besson | Winston Zhang | J. Prieto

[1] Martin Styner,et al. Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning , 2020, Scientific Reports.

[2] Peng-Bo Zhang,et al. A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+ , 2017, Neural Networks.

[3] Beatriz Paniagua,et al. Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles. , 2019, Dento maxillo facial radiology.

[4] Jun Shi,et al. Learning using privileged information improves neuroimaging-based CAD of Alzheimer’s disease: a comparative study , 2019, Medical & Biological Engineering & Computing.

[5] Aysegul Gunduz,et al. A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform , 2019, Appl. Soft Comput..

[6] Josien P. W. Pluim,et al. Not‐so‐supervised: A survey of semi‐supervised, multi‐instance, and transfer learning in medical image analysis , 2018, Medical Image Anal..

[7] Christian Jutten,et al. Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects , 2015, Proceedings of the IEEE.

[8] Fabien Subtil,et al. The precision--recall curve overcame the optimism of the receiver operating characteristic curve in rare diseases. , 2015, Journal of clinical epidemiology.

[9] J. Marron,et al. 3D osteoarthritic changes in TMJ condylar morphology correlates with specific systemic and local biomarkers of disease. , 2014, Osteoarthritis and cartilage.

[10] Lin Chen,et al. Incorporating Privileged Genetic Information for Fundus Image Based Glaucoma Detection , 2014, MICCAI.

[11] Ferat Sahin,et al. A survey on feature selection methods , 2014, Comput. Electr. Eng..

[12] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.

[13] Vladimir Vapnik,et al. A new learning paradigm: Learning using privileged information , 2009, Neural Networks.

[14] Jacek M. Zurada,et al. Normalized Mutual Information Feature Selection , 2009, IEEE Transactions on Neural Networks.

[15] Felix Naumann,et al. Data fusion , 2009, CSUR.

[16] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17] Dejan J. Sobajic,et al. Learning and generalization characteristics of the random vector Functional-link net , 1994, Neurocomputing.