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Konstantinos Sechidis

Showing results (1-10 of 14) with videos related to

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Machine Learning|January 28, 2020
Simple strategies for semi-supervised feature selectionKonstantinos Sechidis, Gavin Brown
Statistics in Medicine|July 30, 2021
Using knockoffs for controlled predictive biomarker identificationKonstantinos Sechidis, Matthias Kormaksson, David Ohlssen
Studies in Health Technology and Informatics|April 21, 2017
Disentangling Prognostic and Predictive Biomarkers Through Mutual InformationKonstantinos Sechidis, Emily Turner, Paul Metcalfe, et al.
Statistics in Medicine|January 22, 2026
Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE ModelingDavid Svensson, Erik Hermansson, Nikolaos Nikolaou, et al.
Clinical Pharmacology and Therapeutics|February 29, 2024
All that Glitters Is not Gold: Type-I Error Controlled Variable Selection from Clinical Trial DataManuela R Zimmermann, Mark Baillie, Matthias Kormaksson, et al.
Statistics in Medicine|January 22, 2026
Comparing Methods to Assess Treatment Effect Heterogeneity in General Parametric Regression ModelsYao Chen, Sophie Sun, Konstantinos Sechidis, et al.
Statistics in Medicine|November 27, 2025
Using Individualized Treatment Effects to Assess Treatment Effect HeterogeneityKonstantinos Sechidis, Cong Zhang, Sophie Sun, et al.
Artificial Intelligence in Medicine|May 18, 2021
A machine learning perspective on the emotional content of Parkinsonian speechKonstantinos Sechidis, Riccardo Fusaroli, Juan Rafael Orozco-Arroyave, et al.
Acta Psychiatrica Scandinavica|December 1, 2021
A generalizable speech emotion recognition model reveals depression and remissionLasse Hansen, Yan-Ping Zhang, Detlef Wolf, et al.
Bioinformatics (Oxford, England)|July 28, 2018
Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D Metcalfe, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Machine Learning|January 28, 2020
Simple strategies for semi-supervised feature selectionKonstantinos Sechidis, Gavin Brown
Statistics in Medicine|July 30, 2021
Using knockoffs for controlled predictive biomarker identificationKonstantinos Sechidis, Matthias Kormaksson, David Ohlssen
Studies in Health Technology and Informatics|April 21, 2017
Disentangling Prognostic and Predictive Biomarkers Through Mutual InformationKonstantinos Sechidis, Emily Turner, Paul Metcalfe, et al.
Statistics in Medicine|January 22, 2026
Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE ModelingDavid Svensson, Erik Hermansson, Nikolaos Nikolaou, et al.
Clinical Pharmacology and Therapeutics|February 29, 2024
All that Glitters Is not Gold: Type-I Error Controlled Variable Selection from Clinical Trial DataManuela R Zimmermann, Mark Baillie, Matthias Kormaksson, et al.
Statistics in Medicine|January 22, 2026
Comparing Methods to Assess Treatment Effect Heterogeneity in General Parametric Regression ModelsYao Chen, Sophie Sun, Konstantinos Sechidis, et al.
Statistics in Medicine|November 27, 2025
Using Individualized Treatment Effects to Assess Treatment Effect HeterogeneityKonstantinos Sechidis, Cong Zhang, Sophie Sun, et al.
Artificial Intelligence in Medicine|May 18, 2021
A machine learning perspective on the emotional content of Parkinsonian speechKonstantinos Sechidis, Riccardo Fusaroli, Juan Rafael Orozco-Arroyave, et al.
Acta Psychiatrica Scandinavica|December 1, 2021
A generalizable speech emotion recognition model reveals depression and remissionLasse Hansen, Yan-Ping Zhang, Detlef Wolf, et al.
Bioinformatics (Oxford, England)|July 28, 2018
Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D Metcalfe, et al.
Pageof 2