A method for studying how much time of EEG recording is needed to have a good user identification. - Dustin Carrión-Ojeda; Héctor Mejía-Vallejo; Rigoberto Fonseca-Delgado; Pilar Gómez-Gil; Manuel Ramírez-Cortés (LA-CCI, 2019)

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. - Dustin Carrión-Ojeda; Mahbubul Alam; Sergio Escalera; Ahmed K. Farahat; Dipanjan Ghosh; Maria Teresa Gonzalez Diaz; Chetan Gupta 001; Isabelle Guyon; Joël Roman Ky; Xian Yeow Lee; Xin Liu; Felix Mohr; et al. (NeurIPS (Competition and Demos), 2021)

Performance Evaluation of Dissemination Protocols Over Vehicular Networks for an Automatic Speed Fine System. - Dustin Carrión-Ojeda; Cristhian Iza; Mónica Aguilar-Igartua (IEEE Access, 2021)

Analysis of factors that influence the performance of biometric systems based on EEG signals. - Dustin Carrión-Ojeda; Rigoberto Fonseca-Delgado; Israel Pineda (Expert Syst. Appl., 2021)

EBAPy: A Python framework for analyzing the factors that have an influence in the performance of EEG-based applications. - Dustin Carrión-Ojeda; Paola Martínez-Arias; Rigoberto Fonseca-Delgado; Israel Pineda (Softw. Impacts, 2021)

NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results. - Dustin Carrión-Ojeda; Hong Chen 011; Adrian El Baz; Sergio Escalera; Chaoyu Guan; Isabelle Guyon; Ihsan Ullah; Xin Wang 019; Wenwu Zhu 001 (Meta-Knowledge Transfer @ ECML/PKDD, 2022)

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. - Ihsan Ullah; Dustin Carrión-Ojeda; Sergio Escalera; Isabelle Guyon; Mike Huisman; Felix Mohr; Jan N. van Rijn; Haozhe Sun; Joaquin Vanschoren; Phan Anh Vu (NeurIPS, 2022)

RADENN: A Domain-Specific Language for the Rapid Development of Neural Networks. - Israel Pineda; Dustin Carrión-Ojeda; Rigoberto Fonseca-Delgado (IEEE Access, 2023)

Evaluation of features and channels of electroencephalographic signals for biometric systems. - Dustin Carrión-Ojeda; Paola Martínez-Arias; Rigoberto Fonseca-Delgado; Israel Pineda; Héctor Mejía-Vallejo (EURASIP J. Adv. Signal Process., 2024)

Continual Learning Should Move Beyond Incremental Classification. - Rupert Mitchell; Antonio Alliegro; Raffaello Camoriano; Dustin Carrión-Ojeda; Antonio Carta; Georgia Chalvatzaki; Nikhil Churamani; Carlo D'Eramo; Samin Hamidi; Robin Hesse; Fabian Hinder; Roshni Kamath; et al. (CoRR, 2025)

Knowledge Distillation for Multimodal Egocentric Action Recognition Robust to Missing Modalities. - Maria Santos-Villafranca; Dustin Carrión-Ojeda; Alejandro Pérez-Yus; Jesus Bermudez-Cameo; Josechu J. Guerrero; Simone Schaub-Meyer (CoRR, 2025)

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation. - Dustin Carrión-Ojeda; Stefan Roth 001; Simone Schaub-Meyer (CoRR, 2025)