Konstantinos Sechidis

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 23

Top Topics

Unlabelled Data

Feature Selection

Top Venues

Publications

Konstantinos Sechidis, Riccardo Fusaroli, Juan Rafael Orozco-Arroyave, Detlef Wolf, Yan-Ping Zhang
A machine learning perspective on the emotional content of Parkinsonian speech. Artif. Intell. Medicine 115 (2021)
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
Correction to: Efficient feature selection using shrinkage estimators. Mach. Learn. 109 (8) (2020)
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
Multi-target regression via output space quantization. IJCNN (2020)
Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
Feature selection with limited bit depth mutual information for portable embedded systems. Knowl. Based Syst. 197 (2020)
Nikolaos Nikolaou, Konstantinos Sechidis
Inferring Causal Direction from Observational Data: A Complexity Approach. CoRR (2020)
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
Multi-target regression via output space quantization. CoRR (2020)
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information. IoT Streams/ITEM@PKDD/ECML (2020)
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
Insights into distributed feature ranking. Inf. Sci. 496 (2019)
Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
Multi-target feature selection through output space clustering. ESANN (2019)
Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
Information Theoretic Multi-Target Feature Selection via Output Space Quantization. Entropy 21 (9) (2019)
Konstantinos Sechidis, Konstantinos Papangelou, Sarah Nogueira, James Weatherall, Gavin Brown
On the Stability of Feature Selection in the Presence of Feature Correlations. ECML/PKDD (1) (2019)
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
Efficient feature selection using shrinkage estimators. Mach. Learn. 108 (8-9) (2019)
Konstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown
Distinguishing prognostic and predictive biomarkers: an information theoretic approach. Bioinform. 34 (23) (2018)
Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown
Toward an Understanding of Adversarial Examples in Clinical Trials. ECML/PKDD (1) (2018)
Konstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown
Distinguishing prognostic and predictive biomarkers: an information theoretic approach. Bioinform. 34 (19) (2018)
Konstantinos Sechidis, Gavin Brown
Simple strategies for semi-supervised feature selection. Mach. Learn. 107 (2) (2018)
Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Mikel Luján, Gavin Brown
Dealing with under-reported variables: An information theoretic solution. Int. J. Approx. Reason. 85 (2017)
Sarah Nogueira, Konstantinos Sechidis, Gavin Brown
On the Stability of Feature Selection Algorithms. J. Mach. Learn. Res. 18 (2017)
Sarah Nogueira, Konstantinos Sechidis, Gavin Brown
On the Use of Spearman's Rho to Measure the Stability of Feature Rankings. IbPRIA (2017)
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
Exploring the consequences of distributed feature selection in DNA microarray data. IJCNN (2017)
Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos
Algorithmic challenges in big data analytics. ESANN (2017)
Konstantinos Sechidis, Emily Turner, Paul D. Metcalfe, James Weatherall, Gavin Brown
Ranking Biomarkers Through Mutual Information. CoRR (2016)
Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown
Estimating Mutual Information in Under-Reported Variables. Probabilistic Graphical Models (2016)
Konstantinos Sechidis, Gavin Brown
Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data. ECML/PKDD (1) (2015)
Konstantinos Sechidis, Nikolaos Nikolaou, Gavin Brown
Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood. S+SSPR (2014)
Konstantinos Sechidis, Borja Calvo, Gavin Brown
Statistical Hypothesis Testing in Positive Unlabelled Data. ECML/PKDD (3) (2014)
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks. CLEF (Notebook Papers/Labs/Workshop) (2011)
Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
On the Stratification of Multi-label Data. ECML/PKDD (3) (2011)