Enrique Hortal

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Biologically Plausible

Emotion Recognition

Top Venues

Publications

Bulat Khaertdinov, Pedro Jeuris, Annanda Sousa, Enrique Hortal
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations. CoRR (2024)
Ryan Sijstermans, Chang Sun, Enrique Hortal
Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models. IWINAC (2) (2024)
Elif Yozkan, Enrique Hortal, Joël M. H. Karel, Marcus L. F. Janssen, Catherine J. Vossen, Erik D. Gommer
Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals. IWINAC (2024)
Suraj Pai, Ibrahim Hadzic, Chinmay Rao, Ivan Zhovannik, Andre Dekker, Alberto Traverso, Stylianos Asteriadis, Enrique Hortal
Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation. Sensors 23 (3) (2023)
Seyed Muhammad Hossein Mousavi, Bulat Khaertdinov, Pedro Jeuris, Enrique Hortal, Davide Andreoletti, Silvia Giordano
Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities. WAMWB@MobileHCI (2023)
Kathrin Hartmann, Enrique Hortal
COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models. AIME (2023)
Jesús García Fernández, Enrique Hortal, Siamak Mehrkanoon
Towards biologically plausible learning in neural networks. SSCI (2021)
Enrique Hortal, Rodrigo Brechard Alarcia
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks. CoRR (2021)
Sudhanva Bhat, Enrique Hortal
GAN-Based Data Augmentation For Improving The Classification Of EEG Signals. PETRA (2021)
Christos Athanasiadis, Enrique Hortal, Stelios Asteriadis
Temporal conditional Wasserstein GANs for audio-visual affect-related ties. ACII (Workshops and Demos) (2021)
Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis
Audio-visual domain adaptation using conditional semi-supervised Generative Adversarial Networks. Neurocomputing 397 (2020)
Christos Athanasiadis, Matteo Amestoy, Enrique Hortal, Stylianos Asteriadis
3Learning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning. IEEE Multim. 27 (1) (2020)
Penelope J. 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
An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities. Br. J. Educ. Technol. 51 (5) (2020)
Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis
Audio-Based Emotion Recognition Enhancement Through Progressive Gans. ICIP (2020)
Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis
Bridging face and sound modalities through domain adaptation metric learning. ESANN (2019)
Nicholas Vretos, Petros Daras, Stylianos Asteriadis, Enrique Hortal, Esam Ghaleb, Evaggelos Spyrou, Helen C. Leligou, Panagiotis Karkazis, Panagiotis Trakadas, Kostantinos Assimakopoulos
Exploiting sensing devices availability in AR/VR deployments to foster engagement. Virtual Real. 23 (4) (2019)
Dorothea Tsatsou, Andrew Pomazanskyi, Enrique Hortal, Evaggelos Spyrou, Helen C. Leligou, Stylianos Asteriadis, Nicholas Vretos, Petros Daras
Adaptive Learning Based on Affect Sensing. AIED (2) (2018)
Esam Ghaleb, Mirela Popa, Enrique Hortal, Stylianos Asteriadis, Gerhard Weiss
Towards Affect Recognition through Interactions with Learning Materials. ICMLA (2018)
Christos Athanasiadis, Enrique Hortal, Dimitrios Koutsoukos, Carmen Zarco Lens, Stylianos Asteriadis
Personalized, Affect and Performance-driven Computer-based Learning. CSEDU (1) (2017)
Justus Schwan, Esam Ghaleb, Enrique Hortal, Stylianos Asteriadis
High-performance and lightweight real-time deep face emotion recognition. SMAP (2017)
Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín, Eduardo Fernández
EEG-Based Detection of Starting and Stopping During Gait Cycle. Int. J. Neural Syst. 26 (7) (2016)
Marisol Rodriguez-Ugarte, Enrique Hortal, Álvaro Costa, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín
Detection of intention of pedaling start cycle through EEG signals. EMBC (2016)
Javier Castillo-Garcia, Enrique Hortal, Teodiano Freire Bastos Filho, Eduardo Iáñez, Eduardo Caicedo, José Maria Azorín
Active learning for adaptive brain machine interface based on Software Agent. MED (2015)
Álvaro Costa, Rocio Salazar-Varas, Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín
Studying Cognitive Attention Mechanisms during Walking from EEG Signals. SMC (2015)
Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, Eduardo Fernández, José Maria Azorín
Using EEG Signals to Detect the Intention of Walking Initiation and Stop. IWINAC (1) (2015)
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
Starting and finishing gait detection using a BMI for spinal cord injury rehabilitation. IROS (2015)
Andrés Úbeda, Enrique Hortal, Javier Alarcon, Rocio Salazar-Varas, Antonio Sánchez, José Maria Azorín
Online detection of horizontal hand movements from low frequency EEG components. NER (2015)
Enrique Hortal, Daniel Planelles, Álvaro Costa, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín, Eduardo Fernández
SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks. Neurocomputing 151 (2015)
Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, Carlos Pérez-Vidal, José Maria Azorín
Combining a Brain-Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm. Robotics Auton. Syst. 72 (2015)
Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín
Control of a 2 DoF robot using a Brain-Machine Interface. Comput. Methods Programs Biomed. 116 (2) (2014)
Daniel Planelles, Enrique Hortal, Álvaro Costa, Eduardo Iáñez, José Maria Azorín
First steps in the development of an EEG-based system to detect intention of gait initiation. SysCon (2014)
Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, Daniel Planelles, Álvaro Costa, José Maria Azorín
Selection of the best mental tasks for a SVM-based BCI system. SMC (2014)
Daniel Planelles, Enrique Hortal, Álvaro Costa, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín
Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals. Sensors 14 (10) (2014)
Daniel Planelles, Enrique Hortal, Eduardo Iáñez, Álvaro Costa, Andrés Úbeda, José Maria Azorín
Preliminary Study to Detect Gait Initiation Intention Through a BCI System. NEUROTECHNIX (2014)
Andrés Úbeda, Daniel Planelles, Álvaro Costa, Enrique Hortal, Eduardo Iáñez, José Maria Azorín
Decoding knee angles from EEG signals for different walking speeds. SMC (2014)
Enrique Hortal, Daniel Planelles, Andrés Úbeda, Álvaro Costa, José Maria Azorín
Brain-Machine Interface system to differentiate between five mental tasks. SysCon (2014)
Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín
Mental tasks selection method for a SVM-based BCI system. SysCon (2013)
Andrés Úbeda, Eduardo Iáñez, Enrique Hortal, José Maria Azorín
Linear decoding of 2D hand movements for target selection tasks using a non-invasive BCI system. SysCon (2013)
Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín, Eduardo Fernández
Training Study Approaches for a SVM-Based BCI: Adaptation to the Model vs Adaptation to the User. IWINAC (1) (2013)
Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín, Eduardo Fernández
Empirical Analysis of the Integration of a BCI and an EOG Interface to Control a Robot Arm. IWINAC (1) (2013)