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Multi-labeler classification using kernel representations and mixture of classifiers

Imbajoa-Ruiz D.E.; Gustin I.D.; Bolaños-Ledezma M.; Arciniegas-Mejía A.F.; Guasmayan-Guasmayan F.A.; Bravo-Montenegro M.J.; Castro-Ospina A.E.; Peluffo-Ordóñez D.H. (2017)

Two novel clustering performance measures based on coherence and relative assignments of clusters

Areiza-Laverde H.J.; Castro-Ospina A.E.; Rosero-Montalvo P.; Peluffo-Ordóñez D.H.; Rodríguez-Sotelo J.L.; Becerra-Botero M.A. (2017)

Analysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers

Ortega-Adarme M.; Moreno-Revelo M.; Peluffo-Ordoñez D.H.; Marín Castrillon D.; Castro-Ospina A.E.; Becerra M.A. (2017)