Research output per year
Research output per year
Personal profile
Research Beacons, Institutes and Platforms
- Digital Futures
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Dive into the research topics where Konstantinos Sechidis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Efficient Feature Selection Using Shrinkage Estimators
Sechidis, K., Azzimonti, L., Pocock, A., Corani, G., Weatherall, J. & Brown, G., 9 May 2019, (E-pub ahead of print) In: Machine Learning.Research output: Contribution to journal › Article › peer-review
Open Access -
On The Stability of Feature Selection in the Presence of Feature Correlations
Sechidis, K., Papangelou, K., Nogueira, S., Weatherall, J. & Brown, G., 7 Jun 2019, (Accepted/In press) European Conference on Machine Learning.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Toward an Understanding of Adversarial Examples in Clinical Trials
Papangelou, K., Sechidis, K., Weatherall, J. & Brown, G., 2019, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile278 Downloads (Pure) -
Distinguishing prognostic and predictive biomarkers: An information theoretic approach
Sechidis, K., Papangelou, K., Metcalfe, P., Svensson, D., Weatherall, J. & Brown, G., 1 Oct 2018, In: Bioinformatics. 34, 19, p. 3365-3376 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Insights into distributed feature ranking
Bolon-Canedo, V., Sechidis, K., Sanchez-Marono, N., Alonso-Betanzos, A. & Brown, G., 2018, In: Journal of Information Sciences.Research output: Contribution to journal › Article › peer-review
Open AccessFile225 Downloads (Pure)
Thesis
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Hypothesis Testing and Feature Selection in Semi-Supervised Data
Sechidis, K. (Author), Brown, G. (Supervisor) & Stevens, R. (Supervisor), 1 Aug 2016Student thesis: Phd
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