Stability of feature selection algorithms: a study on high-dimensional spaces A Kalousis, J Prados, M Hilario Knowledge and information systems 12, 95-116, 2007 | 713 | 2007 |
Processing and classification of protein mass spectra M Hilario, A Kalousis, C Pellegrini, M Müller Mass spectrometry reviews 25 (3), 409-449, 2006 | 247 | 2006 |
Approaches to dimensionality reduction in proteomic biomarker studies M Hilario, A Kalousis Briefings in bioinformatics 9 (2), 102-118, 2008 | 183 | 2008 |
NOEMON: Design, implementation and performance results of an intelligent assistant for classi er selection A Kalousis, T Theoharis Intelligent Data Analysis 3 (5), 319-337, 1999 | 160 | 1999 |
Parametric local metric learning for nearest neighbor classification J Wang, A Kalousis, A Woznica Advances in neural information processing systems 25, 2012 | 154 | 2012 |
Estimating the predictive accuracy of a classifier H Bensusan, A Kalousis European Conference on Machine Learning, 25-36, 2001 | 152 | 2001 |
Stability of feature selection algorithms A Kalousis, J Prados, M Hilario Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005 | 142 | 2005 |
Algorithm selection via meta-learning A Kalousis Verlag nicht ermittelbar, 2002 | 142 | 2002 |
Addressing the challenge of defining valid proteomic biomarkers and classifiers M Dakna, K Harris, A Kalousis, S Carpentier, W Kolch, JP Schanstra, ... BMC bioinformatics 11, 1-16, 2010 | 137 | 2010 |
Lifelong generative modeling J Ramapuram, M Gregorova, A Kalousis Neurocomputing 404, 381-400, 2020 | 134 | 2020 |
The data mining optimization ontology CM Keet, A Ławrynowicz, C d’Amato, A Kalousis, P Nguyen, R Palma, ... Journal of web semantics 32, 43-53, 2015 | 129 | 2015 |
On data and algorithms: Understanding inductive performance A Kalousis, J Gama, M Hilario Machine Learning 54 (3), 275-312, 2004 | 121 | 2004 |
Deepalignment: Unsupervised ontology matching with refined word vectors P Kolyvakis, A Kalousis, D Kiritsis Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018 | 118 | 2018 |
Predicting the location of mobile users: a machine learning approach T Anagnostopoulos, C Anagnostopoulos, S Hadjiefthymiades, ... Proceedings of the 2009 international conference on Pervasive services, 65-72, 2009 | 117 | 2009 |
Model selection via meta-learning: a comparative study A Kalousis, M Hilario Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE …, 2000 | 110 | 2000 |
A data mining ontology for algorithm selection and meta-mining M Hilario, A Kalousis, P Nguyen, A Woznica Proceedings of the ECML/PKDD09 Workshop on 3rd generation Data Mining (SoKD …, 2009 | 106 | 2009 |
Metric learning with multiple kernels J Wang, A Woznica, A Kalousis Advances in neural information processing systems 24, 2011 | 101 | 2011 |
Machine learning approaches to lung cancer prediction from mass spectra M Hilario, A Kalousis, M Müller, C Pellegrini Proteomics 3 (9), 1716-1719, 2003 | 94 | 2003 |
Ontology-based meta-mining of knowledge discovery workflows M Hilario, P Nguyen, H Do, A Woznica, A Kalousis Meta-Learning in Computational Intelligence, 273-315, 2011 | 91 | 2011 |
Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents J Prados, A Kalousis, JC Sanchez, L Allard, O Carrette, M Hilario Proteomics 4 (8), 2320-2332, 2004 | 89 | 2004 |