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 001 (IWINAC (1), 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 001 (IWINAC (1), 2013)

Mental tasks selection method for a SVM-based BCI system. - Eduardo Iáñez; Andrés Úbeda; Enrique Hortal; José Maria Azorín (SysCon, 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 (SysCon, 2013)

Preliminary Study to Detect Gait Initiation Intention Through a BCI System. - Daniel Planelles; Enrique Hortal; Eduardo Iáñez; Álvaro Costa 001; Andrés Úbeda; José Maria Azorín (NEUROTECHNIX, 2014)

Selection of the best mental tasks for a SVM-based BCI system. - Enrique Hortal; Eduardo Iáñez; Andrés Úbeda; Daniel Planelles; Álvaro Costa 001; José Maria Azorín (SMC, 2014)

Decoding knee angles from EEG signals for different walking speeds. - Andrés Úbeda; Daniel Planelles; Álvaro Costa 001; Enrique Hortal; Eduardo Iáñez; José Maria Azorín (SMC, 2014)

Brain-Machine Interface system to differentiate between five mental tasks. - Enrique Hortal; Daniel Planelles; Andrés Úbeda; Álvaro Costa 001; José Maria Azorín (SysCon, 2014)

First steps in the development of an EEG-based system to detect intention of gait initiation. - Daniel Planelles; Enrique Hortal; Álvaro Costa 001; Eduardo Iáñez; José Maria Azorín (SysCon, 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)

Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals. - Daniel Planelles; Enrique Hortal; Álvaro Costa 001; Andrés Úbeda; Eduardo Iáñez; José Maria Azorín (Sensors, 2014)

Starting and finishing gait detection using a BMI for spinal cord injury rehabilitation. - Enrique Hortal; Ester Marquez-Sanchez; Álvaro Costa 001; Elisa Pinuela-Martin; Rocio Salazar-Varas; Soraya Pérez-Nombela; Antonio J. del Ama; Ángel Gil-Agudo; José Maria Azorín (IROS, 2015)

Using EEG Signals to Detect the Intention of Walking Initiation and Stop. - Enrique Hortal; Andrés Úbeda; Eduardo Iáñez; Eduardo Fernández 001; José Maria Azorín (IWINAC (1), 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 (MED, 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 (NER, 2015)

Studying Cognitive Attention Mechanisms during Walking from EEG Signals. - Álvaro Costa 001; Rocio Salazar-Varas; Eduardo Iáñez; Andrés Úbeda; Enrique Hortal; José Maria Azorín (SMC, 2015)

SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks. - Enrique Hortal; Daniel Planelles; Álvaro Costa 001; Eduardo Iáñez; Andrés Úbeda; José Maria Azorín; Eduardo Fernández 001 (Neurocomputing, 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)

Brain-Machine Interfaces for Assistive Robotics. - Enrique Hortal; Andrés Úbeda; Eduardo Iáñez; José Maria Azorín (Intelligent Assistive Robots, 2015)

Detection of intention of pedaling start cycle through EEG signals. - Marisol Rodriguez-Ugarte; Enrique Hortal; Álvaro Costa 001; Eduardo Iáñez; Andrés Úbeda; José Maria Azorín (EMBC, 2016)

EEG-Based Detection of Starting and Stopping During Gait Cycle. - Enrique Hortal; Andrés Úbeda; Eduardo Iáñez; José Maria Azorín; Eduardo Fernández 001 (Int. J. Neural Syst., 2016)

Personalized, Affect and Performance-driven Computer-based Learning. - Christos Athanasiadis; Enrique Hortal; Dimitrios Koutsoukos; Carmen Zarco Lens; Stylianos Asteriadis (CSEDU (1), 2017)

High-performance and lightweight real-time deep face emotion recognition. - Justus Schwan; Esam Ghaleb; Enrique Hortal; Stylianos Asteriadis (SMAP, 2017)

Adaptive Learning Based on Affect Sensing. - Dorothea Tsatsou; Andrew Pomazanskyi; Enrique Hortal; Evaggelos Spyrou; Helen C. Leligou; Stylianos Asteriadis; Nicholas Vretos; Petros Daras (AIED (2), 2018)

Towards Affect Recognition through Interactions with Learning Materials. - Esam Ghaleb; Mirela Popa; Enrique Hortal; Stylianos Asteriadis; Gerhard Weiss 001 (ICMLA, 2018)

Bridging face and sound modalities through domain adaptation metric learning. - Christos Athanasiadis; Enrique Hortal; Stylianos Asteriadis (ESANN, 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)

Audio-Based Emotion Recognition Enhancement Through Progressive Gans. - Christos Athanasiadis; Enrique Hortal; Stylianos Asteriadis (ICIP, 2020)

An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities. - Penelope Jane Standen; David J. Brown 001; 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; et al. (Br. J. Educ. Technol., 2020)

e33Learning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning. - Christos Athanasiadis; Matteo Amestoy; Enrique Hortal; Stylianos Asteriadis (IEEE Multim., 2020)

Audio-visual domain adaptation using conditional semi-supervised Generative Adversarial Networks. - Christos Athanasiadis; Enrique Hortal; Stylianos Asteriadis (Neurocomputing, 2020)

Temporal conditional Wasserstein GANs for audio-visual affect-related ties. - Christos Athanasiadis; Enrique Hortal; Stelios Asteriadis (ACII (Workshops and Demos), 2021)

GAN-Based Data Augmentation For Improving The Classification Of EEG Signals. - Sudhanva Bhat; Enrique Hortal (PETRA, 2021)

Towards biologically plausible learning in neural networks. - Jesús García Fernández; Enrique Hortal; Siamak Mehrkanoon (SSCI, 2021)

GANtron: Emotional Speech Synthesis with Generative Adversarial Networks. - Enrique Hortal; Rodrigo Brechard Alarcia (CoRR, 2021)

COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models. - Kathrin Hartmann; Enrique Hortal (AIME, 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 (WAMWB@MobileHCI, 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, 2023)

Tab-VAE: A Novel VAE for Generating Synthetic Tabular Data. - Syed Mahir Tazwar; Max Knobbout; Enrique Hortal Quesada; Mirela Popa (ICPRAM, 2024)

Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations. - Bulat Khaertdinov; Pedro Jeuris; Annanda Sousa; Enrique Hortal (INTERSPEECH, 2024)

Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models. - Ryan Sijstermans; Chang Sun 001; Enrique Hortal (IWINAC (2), 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 (IWINAC, 2024)

JOINclusion: A Mobile Game for Social Inclusion in Multicultural School Contexts. - Alessandra Colella; Annaleda Mazzucato; Dario Bacchini; Ioannis Christidis; Concetta Esposito; Enrique Hortal; Eleni Aikaterini Leligkoy; Loukas Oikonomakis; Katerina Palaiologou; Yusuf Can Semerci (MetroXRAINE, 2024)

Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics. - Jingyi He; Joël M. H. Karel; Marcus L. F. Janssen; Erik D. Gommer; Catherine J. Vossen; Enrique Hortal (Int. J. Neural Syst., 2025)