| Stability of feature selection algorithms: a study on high-dimensional spaces A Kalousis, J Prados, M Hilario Knowledge and information systems 12 (1), 95-116, 2007 | 544 | 2007 |
| Learning from imbalanced data in surveillance of nosocomial infection G Cohen, M Hilario, H Sax, S Hugonnet, A Geissbuhler Artificial intelligence in medicine 37 (1), 7-18, 2006 | 238 | 2006 |
| Processing and classification of protein mass spectra M Hilario, A Kalousis, C Pellegrini, M Mueller Mass spectrometry reviews 25 (3), 409-449, 2006 | 224 | 2006 |
| Approaches to dimensionality reduction in proteomic biomarker studies M Hilario, A Kalousis Briefings in bioinformatics 9 (2), 102-118, 2008 | 151 | 2008 |
| Model selection via meta-learning: a comparative study K Alexandros, H Melanie International Journal on Artificial Intelligence Tools 10 (04), 525-554, 2001 | 128 | 2001 |
| An overview of strategies for neurosymbolic integration M Hilario Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, 13-36, 1997 | 124 | 1997 |
| On data and algorithms: Understanding inductive performance A Kalousis, J Gama, M Hilario Machine learning 54 (3), 275-312, 2004 | 109 | 2004 |
| Stability of feature selection algorithms A Kalousis, J Prados, M Hilario Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005 | 101 | 2005 |
| 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 | 87 | 2015 |
| 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 | 86 | 2009 |
| 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 | 79 | 2004 |
| Machine learning approaches to lung cancer prediction from mass spectra M Hilario, A Kalousis, M Müller, C Pellegrini Proteomics 3 (9), 1716-1719, 2003 | 78 | 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 | 77 | 2011 |
| Feature selection for meta-learning A Kalousis, M Hilario Pacific-Asia Conference on Knowledge Discovery and Data Mining, 222-233, 2001 | 59 | 2001 |
| Margin and radius based multiple kernel learning H Do, A Kalousis, A Woznica, M Hilario Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009 | 55 | 2009 |
| Fusion of meta-knowledge and meta-data for case-based model selection M Hilario, A Kalousis European Conference on Principles of Data Mining and Knowledge Discovery …, 2001 | 46 | 2001 |
| Collusion in the US crop insurance program: applied data mining BB Little, WL Johnston Jr, AC Lovell, RM Rejesus, SA Steed Proceedings of the 2002 SIAM International Conference on Data Mining, 583-597, 2002 | 38* | 2002 |
| Building algorithm profiles for prior model selection in knowledge discovery systems A Kalousis, M Hilario International journal of engineering intelligent systems for electrical …, 2000 | 38* | 2000 |
| Using meta-mining to support data mining workflow planning and optimization P Nguyen, M Hilario, A Kalousis Journal of Artificial Intelligence Research 51, 605-644, 2014 | 37 | 2014 |
| Representational issues in meta-learning A Kalousis, M Hilario Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 37 | 2003 |
