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| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| 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 | 274 | 194 | ||
| Learning by stochastic serializations | | 2019 | 262 | 64 | |||
| Structured nonlinear variable selection | Conference on Uncertainty in Artificial Intelligence, UAI2018 | | 2018 | 236 | 62 | ||
| 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 | 327 | 184 | ||
| 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 | 539 | 112 | ||
| Factorizing LambdaMART for cold start recommendations | Machine Learning | | 2016 | 332 | 105 | ||
| Information geometry and minimum description length networks | Proceedings of the 32 nd International Conference on Machine Learning | | 2015 | 655 | 224 | ||
| The Data Mining OPtimization Ontology | Journal of web semantics | | 2015 | 556 | 806 | ||
| 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 | 655 | 0 | ||
| Feature weighting using margin and radius based error bound optimization in SVMs | Machine Learning and Knowledge Discovery in Databases. Proceedings, Part 1 | | 2009 | 551 | 279 | ||
| Margin and radius based multiple Kernel Learning | Machine Learning and Knowledge Discovery in Databases | | 2009 | 675 | 351 | ||
| Sample preparation and bioinformatics in MALDI profiling of urinary proteins | Journal of Chromatography. B | | 2007 | 314 | 1 | ||
| Stability of feature selection algorithms: a study on high-dimensional spaces | Knowledge and Information Systems | | 2007 | 463 | 359 | ||
| Processing and classification of protein mass spectra | Mass Spectrometry Reviews | | 2006 | 299 | 437 | ||
| Feature Extraction from Mass Spectra for Classification of Pathological States | Knowledge Discovery in Databases: PKDD 2005 | | 2005 | 7 | 0 | ||
| Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents | Proteomics | | 2004 | 677 | 1 | ||
| Algorithm selection via meta-learning | | 2002 | 969 | 501 |
