Konstantinos Sechidis, Laura Azzimonti, Adam Pocock, Giorgio Corani, James Weatherall, Gavin Brown
(2019).
Efficient feature selection using shrinkage estimators.
Machine Learning Journal (MLJ), volume 108(8-9), pages 1261–1286.
Konstantinos Sechidis, Konstantinos Papangelou, Sarah Nogueira, James Weatherall, Gavin Brown
(2019).
On the Stability of Feature Selection in the Presence of Feature Correlations.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD). Acceptance rate 130/734 (18%).
Konstantinos Sechidis, Eleftherios Spyromitros-Xioufis, Ioannis Vlahavas
(2019).
Multi-target feature selection through output space clustering.
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).
Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown
(2018).
Toward an Understanding of Adversarial Examples in Clinical Trials.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD). Acceptance rate 92/354 (26%).
Veronica Bolon-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martinez-Rego, Amparo Alonso-Betanzos
(2017).
Algorithmic challenges in Big Data analytics.
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).
Konstantinos Sechidis, Emily Turner, Paul Metcalfe, James Weatherall, Gavin Brown
(2016).
Ranking Biomarkers Through Mutual Information.
NIPS Workshop on Machine Learning for Health (ML4HC).
Konstantinos Sechidis, Borja Calvo, Gavin Brown
(2014).
Statistical Hypothesis Testing in Positive Unlabelled Data.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD). Acceptance rate 115/483 (23.8%). AWARD Best Student Paper Award in ECML/PKDD 2014 (sponsored by Springer). AWARD Runner up Best Paper Prize of the School of Computer Science at the University of Manchester 2014 (sponsored by IBM).
Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis Vlahavas
(2011).
On the Stratification of Multi-label Data.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD). Acceptance rate 121/599 (20%).