Libros sobre el tema "Classification of biomedical time series"
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Melin, Patricia, Martha Ramirez y Oscar Castillo. Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71101-5.
Texto completoAbel, Jaison R. A time series and cross-sectional classification of state regulatory policy adopted for local exchange carriers: Divestiture to present, 1984-1998. Columbus, Ohio: National Regulatory Research Institute, 1998.
Buscar texto completoTime Series Clustering and Classification. Chapman and Hall/CRC, 2019.
Buscar texto completoMaharaj, Elizabeth Ann, Pierpaolo D'Urso y Jorge Caiado. Time Series Clustering and Classification. Taylor & Francis Group, 2019.
Buscar texto completoMaharaj, Elizabeth Ann, Pierpaolo D'Urso y Jorge Caiado. Time Series Clustering and Classification. Taylor & Francis Group, 2019.
Buscar texto completoMaharaj, Elizabeth Ann, Pierpaolo D'Urso y Jorge Caiado. Time Series Clustering and Classification. Taylor & Francis Group, 2019.
Buscar texto completoMaharaj, Elizabeth Ann, Pierpaolo D'Urso y Jorge Caiado. Time Series Clustering and Classification. Taylor & Francis Group, 2019.
Buscar texto completoMaharaj, Elizabeth Ann, Jorge Caiado y Pierpaolo DUrso. Time Series Clustering and Classification. Taylor & Francis Group, 2021.
Buscar texto completoBuza, Krisztian. Fusion Methods for Time-Series Classification. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2011.
Buscar texto completoVolna, Eva, Martin Kotyrba y Michal Janosek. Pattern Recognition and Classification in Time Series Data. IGI Global, 2016.
Buscar texto completoMcDowall, David, Richard McCleary y Bradley J. Bartos. Interrupted Time Series Analysis. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190943943.001.0001.
Texto completoLi, édéric. Deep Learning for Time-Series Classification Enhanced by Transfer Learning Based on Sensor Modality Discrimination. Logos Verlag Berlin, 2021.
Buscar texto completoMcCleary, Richard, David McDowall y Bradley Bartos. Design and Analysis of Time Series Experiments. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.001.0001.
Texto completoNguyen, Huy Hoang y Paul N. Adams. Building Statistical Models in Python: Develop Useful Models for Regression, Classification, Time Series, and Survival Analysis. de Gruyter GmbH, Walter, 2023.
Buscar texto completoWhitenack, Daniel. Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language. Packt Publishing - ebooks Account, 2017.
Buscar texto completoHall, Richard, Bonnie Antoun, H. Jerry Qi, Hongbing Lu, Jevan Furmanski, Alireza Amirkhizi, G. P. Tandon y Charles Lu. Challenges In Mechanics of Time-Dependent Materials and Processes in Conventional and Multifunctional Materials, Volume 2: Proceedings of the 2013 ... Society for Experimental Mechanics Series). Springer, 2013.
Buscar texto completoFerraty, Frédéric y Yves Romain, eds. The Oxford Handbook of Functional Data Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.001.0001.
Texto completoVan Dyk, Jacob. The Modern Technology of Radiation Oncology, Vol 4. Medical Physics Publishing, 2020. http://dx.doi.org/10.54947/9781951134020.
Texto completoJockers, Matthew L. Style. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0006.
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