| Large-scale Nonlinear Variable Selection via Kernel Random Features | Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Proceedings. Part II |  | | 2019 | 327 | 470 |
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| Learning by stochastic serializations | | | | 2019 | 309 | 142 |
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| Structured nonlinear variable selection | Conference on Uncertainty in Artificial Intelligence, UAI2018 | | | 2018 | 305 | 136 |
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| Forecasting and Granger Modelling with Non-linear Dynamical Dependencies | Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2017, Proceedings, Part II | | | 2017 | 369 | 249 |
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| Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks | Proceedings of the Ninth Asian Conference on Machine Learning (ACML 2017) | | | 2017 | 596 | 145 |
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| Factorizing LambdaMART for cold start recommendations | Machine Learning | | | 2016 | 392 | 248 |
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| Information geometry and minimum description length networks | Proceedings of the 32 nd International Conference on Machine Learning | | | 2015 | 729 | 712 |
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| The Data Mining OPtimization Ontology | Journal of web semantics | | | 2015 | 638 | 1,229 |
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| Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana | Chemometrics and intelligent laboratory systems |  | | 2010 | 708 | 0 |
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| Feature weighting using margin and radius based error bound optimization in SVMs | Machine Learning and Knowledge Discovery in Databases. Proceedings, Part 1 | | | 2009 | 597 | 627 |
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| Margin and radius based multiple Kernel Learning | Machine Learning and Knowledge Discovery in Databases | | | 2009 | 732 | 547 |
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| Sample preparation and bioinformatics in MALDI profiling of urinary proteins | Journal of Chromatography. B | | | 2007 | 371 | 1 |
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| Stability of feature selection algorithms: a study on high-dimensional spaces | Knowledge and Information Systems | | | 2007 | 554 | 718 |
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| Processing and classification of protein mass spectra | Mass Spectrometry Reviews | | | 2006 | 346 | 1,163 |
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| Feature Extraction from Mass Spectra for Classification of Pathological States | Knowledge Discovery in Databases: PKDD 2005 | | | 2005 | 40 | 0 |
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| Data mining for mass-spectra based diagnosis and biomarker discovery | Drug discovery today. Biosilico | | | 2004 | 35 | 0 |
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| Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents | Proteomics | | | 2004 | 719 | 1 |
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| Algorithm selection via meta-learning | | | | 2002 | 1,191 | 542 |
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