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ORCIDKonstantinos Sechidis
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2020 – today
- 2023
[e4]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
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. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents]- [e3]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
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. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - 2021
- [j11]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: 102061 (2021) - [e2]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [j10]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: 105885 (2020) - [j9]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): 1565-1567 (2020) - [c14]Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas:
Multi-target regression via output space quantization. IJCNN 2020: 1-9 - [c13]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: 243-255 - [i3]Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas:
Multi-target regression via output space quantization. CoRR abs/2003.09896 (2020) - [i2]Nikolaos Nikolaou, Konstantinos Sechidis:
Inferring Causal Direction from Observational Data: A Complexity Approach. CoRR abs/2010.05635 (2020)
2010 – 2019
- 2019
- [j8]Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas:
Information Theoretic Multi-Target Feature Selection via Output Space Quantization. Entropy 21(9): 855 (2019) - [j7]Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Insights into distributed feature ranking. Inf. Sci. 496: 378-398 (2019) - [j6]Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown:
Efficient feature selection using shrinkage estimators. Mach. Learn. 108(8-9): 1261-1286 (2019) - [c12]Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas:
Multi-target feature selection through output space clustering. ESANN 2019 - [c11]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: 327-342 - 2018
- [j5]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): 3365-3376 (2018) - [j4]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): 4139 (2018) - [j3]Konstantinos Sechidis, Gavin Brown:
Simple strategies for semi-supervised feature selection. Mach. Learn. 107(2): 357-395 (2018) - [c10]Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown:
Toward an Understanding of Adversarial Examples in Clinical Trials. ECML/PKDD (1) 2018: 35-51 - 2017
- [j2]Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Mikel Luján, Gavin Brown:
Dealing with under-reported variables: An information theoretic solution. Int. J. Approx. Reason. 85: 159-177 (2017) - [j1]Sarah Nogueira, Konstantinos Sechidis, Gavin Brown:
On the Stability of Feature Selection Algorithms. J. Mach. Learn. Res. 18: 174:1-174:54 (2017) - [c9]Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos:
Algorithmic challenges in big data analytics. ESANN 2017 - [c8]Sarah Nogueira, Konstantinos Sechidis, Gavin Brown:
On the Use of Spearman's Rho to Measure the Stability of Feature Rankings. IbPRIA 2017: 381-391 - [c7]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: 1665-1672 - 2016
- [c6]Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown:
Estimating Mutual Information in Under-Reported Variables. Probabilistic Graphical Models 2016: 449-461 - [i1]Konstantinos Sechidis, Emily Turner, Paul D. Metcalfe, James Weatherall, Gavin Brown:
Ranking Biomarkers Through Mutual Information. CoRR abs/1612.01316 (2016) - 2015
- [c5]Konstantinos Sechidis, Gavin Brown:
Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data. ECML/PKDD (1) 2015: 351-366 - 2014
- [c4]Konstantinos Sechidis, Borja Calvo, Gavin Brown:
Statistical Hypothesis Testing in Positive Unlabelled Data. ECML/PKDD (3) 2014: 66-81 - [c3]Konstantinos Sechidis, Nikolaos Nikolaou, Gavin Brown:
Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood. S+SSPR 2014: 143-152 - 2011
- [c2]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 - [c1]Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
On the Stratification of Multi-label Data. ECML/PKDD (3) 2011: 145-158
Coauthor Index
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