Kernel-Based Feature Relevance Analysis for ECG Beat Classification. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Natalia Gaviria Gómez; Germán Castellanos-Domínguez (IbPRIA, 2015)

Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis. - David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Germán Castellanos-Domínguez (Comput. Math. Methods Medicine, 2016)

MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis. - Diego Fabian Collazos-Huertas; A. Tobar-Rodriguez; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWINAC (1), 2017)

Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers. - Diego Fabian Collazos-Huertas; David Cárdenas-Peña; Germán Castellanos-Domínguez (CIARP, 2018)

Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning. - Diego Fabian Collazos-Huertas; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 2018)

Supervised kernel approach for automated learning using General Stochastic Networks. - David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Eng. Appl. Artif. Intell., 2018)

Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition. - Julian Caicedo-Acosta; David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Jorge I. Padilla-Buritica; Germán Castaño Duque; Germán Castellanos-Domínguez (IWINAC (1), 2019)

Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease. - Diego Fabian Collazos-Huertas; David Cárdenas-Peña; Germán Castellanos-Domínguez (Int. J. Neural Syst., 2019)

CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Carlos Daniel Acosta-Medina; Germán Castaño Duque; Germán Castellanos-Domínguez (Brain Informatics, 2020)

Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Biomed. Signal Process. Control., 2021)

Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires. - Diego Fabian Collazos-Huertas; Luisa Fernanda Velásquez-Martínez; Hernan Dario Perez-Nastar; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2021)

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; David Augusto Cárdenas-Peña; Germán Albeiro Castaño Duque; César Germán Castellanos-Domínguez (Sensors, 2023)