Ariel Ruiz-Garcia

According to our database, Ariel Ruiz-Garcia authored at least 19 papers between 2016 and 2023.

Collaborative distances:

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

2023

LatinX in AI research.

Juan M. Banda, Ariel Ruiz-Garcia, Laura N. Montoya, Ivan Arraut

Neural Comput. Appl., September, 2023

2021

Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health.

Vasile Palade, Stefan Wermter, Ariel Ruiz-Garcia, Antônio de Pádua Braga, Clive Cheong Took

IEEE Trans. Neural Networks Learn. Syst., 2021

Deep neural network representation and Generative Adversarial Learning.

Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo P. Mandic

Neural Networks, 2021

2020

Generative Adversarial Stacked Autoencoders.

Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade, Luke Hicks

CoRR, 2020

Self-Supervised Transformers for Activity Classification using Ambient Sensors.

Luke Hicks, Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky

CoRR, 2020

Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots.

Nicola Webb, Ariel Ruiz-Garcia, Mark Elshaw, Vasile Palade

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition.

Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Deep Q-Learning for Illumination and Rotation Invariant Face Detection.

Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature.

Ibrahim Almakky, Vasile Palade, Ariel Ruiz-Garcia

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Deep learning for facial emotion recognition

Ariel Ruiz-Garcia

PhD thesis, 2018

A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Neural Comput. Appl., 2018

Sokoto Coventry Fingerprint Dataset.

Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne E. James

CoRR, 2018

Deep Learning for Illumination Invariant Facial Expression Recognition.

Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Ibrahim Almakky

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Real Time Facial Expression Recognition in Social Robots.

Ariel Ruiz-Garcia, Nicola Webb, Vasile Palade, Mark Eastwood, Mark Elshaw

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Detailed Identification of Fingerprints Using Convolutional Neural Networks.

Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne E. James

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks.

Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne E. James

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Stacked deep convolutional auto-encoders for emotion recognition from facial expressions.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Deep Learning for Emotion Recognition in Faces.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Emotion Recognition Using Facial Expression Images for a Robotic Companion.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Proceedings of the Engineering Applications of Neural Networks, 2016