Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alabdallah, Abdallah"'
Autor:
Alabdallah, Abdallah, Hamed, Omar, Ohlsson, Mattias, Rögnvaldsson, Thorsteinn, Pashami, Sepideh
The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks sacrificing its explaina
Externí odkaz:
http://arxiv.org/abs/2407.13849
Autor:
Alabdallah, Abdallah
Survival analysis is an essential statistics and machine learning field in various critical applications like medical research and predictive maintenance. In these domains understanding models' predictions is paramount. While machine learning techniq
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52269
Federated Learning (FL) allows several clients to construct a common global machine-learning model without having to share their data. FL, however, faces the challenge of statistical heterogeneity between the client's data, which degrades performance
Externí odkaz:
http://arxiv.org/abs/2308.13265
Autor:
Pashami, Sepideh, Nowaczyk, Slawomir, Fan, Yuantao, Jakubowski, Jakub, Paiva, Nuno, Davari, Narjes, Bobek, Szymon, Jamshidi, Samaneh, Sarmadi, Hamid, Alabdallah, Abdallah, Ribeiro, Rita P., Veloso, Bruno, Sayed-Mouchaweh, Moamar, Rajaoarisoa, Lala, Nalepa, Grzegorz J., Gama, João
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including data scientists, domain experts, end-users, and more. It aids in deci
Externí odkaz:
http://arxiv.org/abs/2306.05120
Publikováno v:
Artificial Intelligence in Medicine, Volume 148, February 2024, 102781
The Concordance Index (C-index) is a commonly used metric in Survival Analysis for evaluating the performance of a prediction model. In this paper, we propose a decomposition of the C-index into a weighted harmonic mean of two quantities: one for ran
Externí odkaz:
http://arxiv.org/abs/2203.00144
Autor:
Alabdallah, Abdallah
Deep Neural Networks have long been considered black box systems, where their interpretability is a concern when applied in safety critical systems. In this work, a novel approach of interpreting the decisions of DNNs is proposed. The approach depend
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41035
Publikováno v:
In Artificial Intelligence In Medicine February 2024 148
