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Chapter 9 - An intelligent deep learning approach for colon cancer diagnosis

by Kumar, Pemmada Suresh, Anisha Kumari, K., Ghosh, Uttam
Published in Computational Intelligence in Cancer Diagnosis (2023)

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Introduction to Dual Decomposition for Inference

by David Sontag, Amir Globerson, Tommi Jaakkola
Published in Optimization for Machine Learning (30.09.2011)

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Chapter 6. Functional Brain Image Preprocessing For Computer Aided Diagnosis Systems

by Alvarez, I, Segovia, F, Ramirez, J, Salas-Gonzalez, D, Lopez, M, M. Gorriz, J, Chaves, R
Published in Recent Advances in Biomedical Signal Processing (01.09.2011)

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11th revision of the International Classification of Diseases chronic primary pain diagnoses in children and adolescents: representation of pediatric patients in the new classification system

by Rau, Lisa-Marie, Korwisi, Beatrice, Barke, Antonia, Frosch, Michael, Zernikow, Boris, Wager, Julia
Published in Pain (Amsterdam) (01.02.2025)

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Computational Collective Intelligence. Technologies and Applications: Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part I

by Pan, Jeng-Shyang, Chen, Shyi-Ming, Nguyen, Ngoc Thanh
Year of Publication 2010

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eBook

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Applied Spatial Statistics and Econometrics: Data Analysis in R

by Kopczewska, Katarzyna
Year of Publication 2021

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eBook Book

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Time-domain system identification applied to non-invasive determination of cardiopulmonary quantities

by Bache, Richard Angus
Year of Publication 1981

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Dissertation

Chapter 9 - An intelligent deep learning approach for colon cancer diagnosis

Introduction to Dual Decomposition for Inference

Chapter 6. Functional Brain Image Preprocessing For Computer Aided Diagnosis Systems

11th revision of the International Classification of Diseases chronic primary pain diagnoses in children and adolescents: representation of pediatric patients in the new classification system

Computational Collective Intelligence. Technologies and Applications: Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part I

Applied Spatial Statistics and Econometrics: Data Analysis in R

Time-domain system identification applied to non-invasive determination of cardiopulmonary quantities

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