Lista de obras -

Addressing the challenge of defining valid proteomic biomarkers and classifiers

artículo científico publicado en 2010

Approaches to dimensionality reduction in proteomic biomarker studies

artículo científico publicado en 2008

Biomedical ontology alignment: an approach based on representation learning

Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features

artículo científico publicado en 2015

Data mining for mass-spectra based diagnosis and biomarker discovery

Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data

artículo científico publicado en 2020

Feature Extraction from Mass Spectra for Classification of Pathological States

Feature Selection with the logRatio Kernel

Goal-directed Generation of Discrete Structures with Conditional Generative Models ⬇️

Machine learning approaches to lung cancer prediction from mass spectra.

artículo científico publicado en 2003

Metric Learning with Multiple Kernels ⬇️

artículo científico publicado en 2011

Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents

artículo científico publicado en 2004

On Data and Algorithms: Understanding Inductive Performance

scholarly article by Alexandros Kalousis et al published March 2004 in Machine Learning

Parametric Local Metric Learning for Nearest Neighbor Classification ⬇️

artículo científico publicado en 2012

Processing and classification of protein mass spectra

artículo científico publicado en 2006

Sample preparation and bioinformatics in MALDI profiling of urinary proteins

artículo científico publicado en 2007

Space-Time Local Embeddings ⬇️