Enrique Hortal

According to our database, Enrique Hortal authored at least 42 papers between 2013 and 2024.

Collaborative distances:

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

2024

Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations.

Bulat Khaertdinov, Pedro Jeuris, Annanda Sousa, Enrique Hortal

CoRR, 2024

Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals.

Elif Yozkan, Enrique Hortal, Joël M. H. Karel, Marcus L. F. Janssen, Catherine J. Vossen, Erik D. Gommer

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models.

Ryan Sijstermans, Chang Sun, Enrique Hortal

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Tab-VAE: A Novel VAE for Generating Synthetic Tabular Data.

Syed Mahir Tazwar, Max Knobbout, Enrique Hortal Quesada, Mirela Popa

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation.

Suraj Pai, Ibrahim Hadzic, Chinmay Rao, Ivan Zhovannik, Andre Dekker, Alberto Traverso, Stylianos Asteriadis, Enrique Hortal

Sensors, February, 2023

Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities.

Seyed Muhammad Hossein Mousavi, Bulat Khaertdinov, Pedro Jeuris, Enrique Hortal, Davide Andreoletti, Silvia Giordano

Proceedings of the Workshop on Advances of Mobile and Wearable Biometrics (WAMWB 2023) co-located with ACM International Conference on Mobile Human-Computer Interaction 2023 (MobileHCI 2023) Athens, 2023

COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models.

Kathrin Hartmann, Enrique Hortal

Proceedings of the Artificial Intelligence in Medicine, 2023

2021

GANtron: Emotional Speech Synthesis with Generative Adversarial Networks.

Enrique Hortal, Rodrigo Brechard Alarcia

CoRR, 2021

Towards biologically plausible learning in neural networks.

Jesús García Fernández, Enrique Hortal, Siamak Mehrkanoon

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

GAN-Based Data Augmentation For Improving The Classification Of EEG Signals.

Sudhanva Bhat, Enrique Hortal

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Temporal conditional Wasserstein GANs for audio-visual affect-related ties.

Christos Athanasiadis, Enrique Hortal, Stelios Asteriadis

Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

Audio-visual domain adaptation using conditional semi-supervised Generative Adversarial Networks.

Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis

Neurocomputing, 2020

e³3Learning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning.

Christos Athanasiadis, Matteo Amestoy, Enrique Hortal, Stylianos Asteriadis

IEEE Multim., 2020

An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities.

Penelope Jane Standen, David J. Brown, Mohammad Taheri, Maria Jose Galvez Trigo, Helen Boulton, Andrew M. Burton, Madeline Hallewell, James G. Lathe, Nicholas Shopland, Maria A. Blanco Gonzalez, Gosia Malgosia Kwiatkowska, Elena Milli, Stefano Cobello, Annaleda Mazzucato, Marco Traversi, Enrique Hortal

Br. J. Educ. Technol., 2020

Audio-Based Emotion Recognition Enhancement Through Progressive Gans.

Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Exploiting sensing devices availability in AR/VR deployments to foster engagement.

Nicholas Vretos, Petros Daras, Stylianos Asteriadis, Enrique Hortal, Esam Ghaleb, Evaggelos Spyrou, Helen C. Leligou, Panagiotis Karkazis, Panagiotis Trakadas, Kostantinos Assimakopoulos

Virtual Real., 2019

Bridging face and sound modalities through domain adaptation metric learning.

Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Towards Affect Recognition through Interactions with Learning Materials.

Esam Ghaleb, Mirela Popa, Enrique Hortal, Stylianos Asteriadis, Gerhard Weiss

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

Adaptive Learning Based on Affect Sensing.

Dorothea Tsatsou, Andrew Pomazanskyi, Enrique Hortal, Evaggelos Spyrou, Helen C. Leligou, Stylianos Asteriadis, Nicholas Vretos, Petros Daras

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

High-performance and lightweight real-time deep face emotion recognition.

Justus Schwan, Esam Ghaleb, Enrique Hortal, Stylianos Asteriadis

Proceedings of the 12th International Workshop on Semantic and Social Media Adaptation and Personalization, 2017

Personalized, Affect and Performance-driven Computer-based Learning.

Christos Athanasiadis, Enrique Hortal, Dimitrios Koutsoukos, Carmen Zarco Lens, Stylianos Asteriadis

Proceedings of the CSEDU 2017, 2017

2016

EEG-Based Detection of Starting and Stopping During Gait Cycle.

Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín, Eduardo Fernández

Int. J. Neural Syst., 2016

Detection of intention of pedaling start cycle through EEG signals.

Marisol Rodriguez-Ugarte, Enrique Hortal, Álvaro Costa, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Brain-Machine Interfaces for Assistive Robotics.

Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín

Proceedings of the Intelligent Assistive Robots, 2015

Combining a Brain-Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm.

Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, Carlos Pérez-Vidal, José Maria Azorín

Robotics Auton. Syst., 2015

SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks.

Enrique Hortal, Daniel Planelles, Álvaro Costa, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín, Eduardo Fernández

Neurocomputing, 2015

Studying Cognitive Attention Mechanisms during Walking from EEG Signals.

Álvaro Costa, Rocio Salazar-Varas, Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Online detection of horizontal hand movements from low frequency EEG components.

Andrés Úbeda, Enrique Hortal, Javier Alarcon, Rocio Salazar-Varas, Antonio Sánchez, José Maria Azorín

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Active learning for adaptive brain machine interface based on Software Agent.

Javier Castillo-Garcia, Enrique Hortal, Teodiano Freire Bastos-Filho, Eduardo Iáñez, Eduardo Caicedo, José Maria Azorín

Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015

Using EEG Signals to Detect the Intention of Walking Initiation and Stop.

Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, Eduardo Fernández, José Maria Azorín

Proceedings of the Artificial Computation in Biology and Medicine, 2015

Starting and finishing gait detection using a BMI for spinal cord injury rehabilitation.

Enrique Hortal, Ester Marquez-Sanchez, Álvaro Costa, Elisa Pinuela-Martin, Rocio Salazar-Varas, Soraya Pérez-Nombela, Antonio J. del Ama, Ángel Gil-Agudo, José Maria Azorín

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals.

Daniel Planelles, Enrique Hortal, Álvaro Costa, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín

Sensors, 2014

Control of a 2 DoF robot using a Brain-Machine Interface.

Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín

Comput. Methods Programs Biomed., 2014

First steps in the development of an EEG-based system to detect intention of gait initiation.

Daniel Planelles, Enrique Hortal, Álvaro Costa, Eduardo Iáñez, José Maria Azorín

Proceedings of the IEEE International Systems Conference, 2014

Brain-Machine Interface system to differentiate between five mental tasks.

Enrique Hortal, Daniel Planelles, Andrés Úbeda, Álvaro Costa, José Maria Azorín

Proceedings of the IEEE International Systems Conference, 2014

Decoding knee angles from EEG signals for different walking speeds.

Andrés Úbeda, Daniel Planelles, Álvaro Costa, Enrique Hortal, Eduardo Iáñez, José Maria Azorín

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Selection of the best mental tasks for a SVM-based BCI system.

Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, Daniel Planelles, Álvaro Costa, José Maria Azorín

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Preliminary Study to Detect Gait Initiation Intention Through a BCI System.

Daniel Planelles, Enrique Hortal, Eduardo Iáñez, Álvaro Costa, Andrés Úbeda, José Maria Azorín

Proceedings of the 2nd International Congress on Neurotechnology, 2014

2013

Linear decoding of 2D hand movements for target selection tasks using a non-invasive BCI system.

Andrés Úbeda, Eduardo Iáñez, Enrique Hortal, José Maria Azorín

Proceedings of the IEEE International Systems Conference, 2013

Mental tasks selection method for a SVM-based BCI system.

Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín

Proceedings of the IEEE International Systems Conference, 2013

Empirical Analysis of the Integration of a BCI and an EOG Interface to Control a Robot Arm.

Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín, Eduardo Fernández

Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Training Study Approaches for a SVM-Based BCI: Adaptation to the Model vs Adaptation to the User.

Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín, Eduardo Fernández

Proceedings of the Natural and Artificial Models in Computation and Biology, 2013