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of 382
pro vyhledávání: '"Tsamardinos, Ioannis"'
Any supervised machine learning analysis is required to provide an estimate of the out-of-sample predictive performance. However, it is imperative to also provide a quantification of the uncertainty of this performance in the form of a confidence or
Externí odkaz:
http://arxiv.org/abs/2406.08099
We introduce the concept of Automated Causal Discovery (AutoCD), defined as any system that aims to fully automate the application of causal discovery and causal reasoning methods. AutoCD's goal is to deliver all causal information that an expert hum
Externí odkaz:
http://arxiv.org/abs/2402.14481
Autor:
Karstoft, Karen-Inge, Tsamardinos, Ioannis, Eskelund, Kasper, Andersen, Søren Bo, Nissen, Lars Ravnborg
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 7, p e17119 (2020)
BackgroundPosttraumatic stress disorder (PTSD) is a relatively common consequence of deployment to war zones. Early postdeployment screening with the aim of identifying those at risk for PTSD in the years following deployment will help deliver interv
Externí odkaz:
https://doaj.org/article/a02b3ca47010454c884291f5388f623f
AutoML platforms have numerous options for the algorithms to try for each step of the analysis, i.e., different possible algorithms for imputation, transformations, feature selection, and modelling. Finding the optimal combination of algorithms and h
Externí odkaz:
http://arxiv.org/abs/2312.06305
Autor:
Ntroumpogiannis, Antonios, Giannoulis, Michail, Myrtakis, Nikolaos, Christophides, Vassilis, Simon, Eric, Tsamardinos, Ioannis
Real-time detection of anomalies in streaming data is receiving increasing attention as it allows us to raise alerts, predict faults, and detect intrusions or threats across industries. Yet, little attention has been given to compare the effectivenes
Externí odkaz:
http://arxiv.org/abs/2209.05899
Numerous algorithms have been proposed for detecting anomalies (outliers, novelties) in an unsupervised manner. Unfortunately, it is not trivial, in general, to understand why a given sample (record) is labelled as an anomaly and thus diagnose its ro
Externí odkaz:
http://arxiv.org/abs/2110.09467
Autor:
Nguyen, Olav Toai Duc, Fotopoulos, Ioannis, Markaki, Maria, Tsamardinos, Ioannis, Lagani, Vincenzo, Røe, Oluf Dimitri
Publikováno v:
In JTO Clinical and Research Reports April 2024 5(4)
Inferring the driving equations of a dynamical system from population or time-course data is important in several scientific fields such as biochemistry, epidemiology, financial mathematics and many others. Despite the existence of algorithms that le
Externí odkaz:
http://arxiv.org/abs/2012.05055
Feature selection for predictive analytics is the problem of identifying a minimal-size subset of features that is maximally predictive of an outcome of interest. To apply to molecular data, feature selection algorithms need to be scalable to tens of
Externí odkaz:
http://arxiv.org/abs/2004.00281
Autor:
Thomaidis, Georgios V., Papadimitriou, Konstantinos, Michos, Sotirios, Chartampilas, Evangelos, Tsamardinos, Ioannis
Publikováno v:
In IBRO Neuroscience Reports December 2023 15:77-89