Konstantinos Sechidis

33 papers B 4Misc 1Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Breaking boundaries: Low-precision conditional mutual information for efficient feature selection.
Pattern Recognit.
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Verónica Bolón-Canedo
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2021 J jnl
A machine learning perspective on the emotional content of Parkinsonian speech.
Artif. Intell. Medicine
Konstantinos Sechidis, Riccardo Fusaroli, Juan Rafael Orozco-Arroyave, Detlef Wolf, Yan-Ping Zhang
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2020 J jnl
Correction to: Efficient feature selection using shrinkage estimators.
Mach. Learn.
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2020 J jnl
Feature selection with limited bit depth mutual information for portable embedded systems.
Knowl. Based Syst.
Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
2020 J jnl
Inferring Causal Direction from Observational Data: A Complexity Approach.
CoRR
Nikolaos Nikolaou, Konstantinos Sechidis
2020 B conf
Multi-target regression via output space quantization.
IJCNN
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
2020 J jnl
Multi-target regression via output space quantization.
CoRR
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
2020 — conf
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information.
IoT Streams/ITEM@PKDD/ECML
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
2019 J jnl
Efficient feature selection using shrinkage estimators.
Mach. Learn.
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2019 J jnl
Information Theoretic Multi-Target Feature Selection via Output Space Quantization.
Entropy
Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
2019 J jnl
Insights into distributed feature ranking.
Inf. Sci.
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
2019 B conf
Multi-target feature selection through output space clustering.
ESANN
Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
2019 — conf
On the Stability of Feature Selection in the Presence of Feature Correlations.
ECML/PKDD (1)
Konstantinos Sechidis, Konstantinos Papangelou, Sarah Nogueira, James Weatherall, Gavin Brown
2018 J jnl
Distinguishing prognostic and predictive biomarkers: an information theoretic approach.
Bioinform.
Konstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown
2018 J jnl
Distinguishing prognostic and predictive biomarkers: an information theoretic approach.
Bioinform.
Konstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown
2018 J jnl
Simple strategies for semi-supervised feature selection.
Mach. Learn.
Konstantinos Sechidis, Gavin Brown
2018 — conf
Toward an Understanding of Adversarial Examples in Clinical Trials.
ECML/PKDD (1)
Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown
2017 B conf
Algorithmic challenges in big data analytics.
ESANN
Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos
2017 J jnl
Dealing with under-reported variables: An information theoretic solution.
Int. J. Approx. Reason.
Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Mikel Luján, Gavin Brown
2017 B conf
Exploring the consequences of distributed feature selection in DNA microarray data.
IJCNN
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
2017 J jnl
On the Stability of Feature Selection Algorithms.
J. Mach. Learn. Res.
Sarah Nogueira, Konstantinos Sechidis, Gavin Brown
2017 Misc conf
On the Use of Spearman's Rho to Measure the Stability of Feature Rankings.
IbPRIA
Sarah Nogueira, Konstantinos Sechidis, Gavin Brown
2016 — conf
Estimating Mutual Information in Under-Reported Variables.
Probabilistic Graphical Models
Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown
2016 J jnl
Ranking Biomarkers Through Mutual Information.
CoRR
Konstantinos Sechidis, Emily Turner, Paul D. Metcalfe, James Weatherall, Gavin Brown
2015 — conf
Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data.
ECML/PKDD (1)
Konstantinos Sechidis, Gavin Brown
2014 — conf
Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood.
S+SSPR
Konstantinos Sechidis, Nikolaos Nikolaou, Gavin Brown
2014 — conf
Statistical Hypothesis Testing in Positive Unlabelled Data.
ECML/PKDD (3)
Konstantinos Sechidis, Borja Calvo, Gavin Brown
2011 — conf
MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks.
CLEF (Notebook Papers/Labs/Workshop)
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011 — conf
On the Stratification of Multi-label Data.
ECML/PKDD (3)
Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas