Výsledky vyhledávání - "Variational Encoder-Decoder"

The Concordance Index Decomposition: A Measure for a Deeper Understanding of Survival Prediction Models

Autoři: Alabdallah, Abdallah Ohlsson, Mattias Pashami, Sepideh a další

Zdroj: Artificial Intelligence in Medicine. 148:1-10

Témata: Survival Analysis, Evaluation Metric, Concordance Index, Variational Encoder-Decoder

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52259
https://doi.org/10.1016/j.artmed.2024.102781

Domain knowledge-driven variational recurrent networks for drought monitoring

Autoři: Zhang, Mengxue Fernández-Torres, Miguel-Ángel Camps-Valls, Gustau a další

Přispěvatelé: Zhang, Mengxue Fernández-Torres, Miguel-Ángel Camps-Valls, Gustau a další

Zdroj: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
Remote Sensing of Environment

Témata: Hybrid modelling, Telecomunicaciones, Medio Ambiente, Drought monitoring, Domain knowledge, Long short-term memory (LSTM), Variational encoder-decoder (VED)

Přístupová URL adresa: https://hdl.handle.net/10016/46971

The Concordance Index Decomposition - A Measure for a Deeper Understanding of Survival Prediction Models

Autoři: Abdallah Alabdallah Mattias Ohlsson Sepideh Pashami a další

Zdroj: SSRN Electronic Journal.

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Neural Networks, Bioinformatics, Performance, Machine Learning (stat.ML), Signal encoding, 01 natural sciences, Machine Learning (cs.LG), Machine Learning, Methodology (stat.ME), Computer, 03 medical and health sciences, Concordance Index, 0302 clinical medicine, Evaluation metrics, Statistics - Machine Learning, 0101 mathematics, Evaluation metric, Statistics - Methodology, Variational encoder–decoder, Survival prediction, Matematik, Learning systems, Fine-grained analysis, Deep learning, Encoder-decoder, Survival analysis, Survival Analysis, Prediction modelling, Neural Networks, Computer, Weighted harmonic means, artificial neural network, Mathematics, Forecasting

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38325926
http://arxiv.org/abs/2203.00144
http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-71927

The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models

Autoři: Alabdallah, A. Ohlsson, Mathias Pashami, Sepideh a další

Témata: Concordance Index, Evaluation metric, Survival analysis, Variational encoder–decoder, Machine Learning, Neural Networks, Computer, Bioinformatics, Forecasting, Learning systems, Signal encoding, Encoder-decoder, Evaluation metrics, Fine-grained analysis, Performance, Prediction modelling, Survival prediction, Weighted harmonic means, artificial neural network, Deep learning, Mathematics, Matematik, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-71927
Artificial Intelligence in Medicine, 0933-3657, 2024, 148