TY - JOUR AU - Carrasco, Miguel AU - López, Julio AU - Ivorra, Benjamín Pierre Paul AU - Marechal, Matthieu AU - Ramos Del Olmo, Ángel Manuel PY - 2025 UR - https://hdl.handle.net/20.500.14352/118104 AB - This study presents a robust classification framework with embedded feature selection to tackle challenges in high-dimensional datasets. By utilizing lp-quasi-norms (p in (0,1)), the framework achieves sparse classifiers that are robust to random... LA - eng KW - Support Vector Machines KW - LP-quasi-norm KW - Direct Feature Elimination TI - Robust SVM Classification with lp-Quasi-Norm Feature Selection TY - journal article ER -