Dustin Carrión-Ojeda

According to our database, Dustin Carrión-Ojeda authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RADENN: A Domain-Specific Language for the Rapid Development of Neural Networks.

Israel Pineda, Dustin Carrión-Ojeda, Rigoberto Fonseca-Delgado

IEEE Access, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results.

Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

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

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

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

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, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin

Proceedings of the NeurIPS 2022 Competition Track, 2021

2019

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

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019