Robust Human Activity Recognition using smartwatches and smartphones. - Rubén San-Segundo-Hernández; Henrik Blunck; José Moreno-Pimentel; Allan Stisen; Manuel Gil-Martín (Eng. Appl. Artif. Intell., 2018)

Classification of epileptic EEG recordings using signal transforms and convolutional neural networks. - Rubén San-Segundo-Hernández; Manuel Gil-Martín; Luis Fernando D'Haro-Enríquez; José Manuel Pardo (Comput. Biol. Medicine, 2019)

Estimating gravity component from accelerometers. - Manuel Gil-Martín; Rubén San Segundo; Syaheerah Lebai Lutfi; Alejandro Coucheiro-Limeres (IEEE Instrum. Meas. Mag., 2019)

Human activity recognition adapted to the type of movement. - Manuel Gil-Martín; Rubén San Segundo; Fernando Fernández Martínez; Ricardo de Córdoba (Comput. Electr. Eng., 2020)

Improving physical activity recognition using a new deep learning architecture and post-processing techniques. - Manuel Gil-Martín; Rubén San Segundo; Fernando Fernández Martínez; Javier Ferreiros López (Eng. Appl. Artif. Intell., 2020)

Robust Biometrics from Motion Wearable Sensors Using a D-vector Approach. - Manuel Gil-Martín; Rubén San Segundo; Ricardo de Córdoba; José Manuel Pardo (Neural Process. Lett., 2020)

Time Analysis in Human Activity Recognition. - Manuel Gil-Martín; Rubén San Segundo; Fernando Fernández Martínez; Javier Ferreiros López (Neural Process. Lett., 2021)

Scoring Performance on the Y-Balance Test Using a Deep Learning Approach. - Manuel Gil-Martín; William Johnston; Rubén San Segundo; Brian Caulfield 001 (Sensors, 2021)

Measuring trust at zero-acquaintance using acted-emotional videos. - Cristina Luna Jiménez; Syaheerah Lebai Lutfi; Manuel Gil-Martín; Ricardo Kleinlein; Juan Manuel Montero; Fernando Fernández Martínez (IberSPEECH, 2022)

Robust Motion Biomarker for Alcohol Consumption. - Manuel Gil-Martín; Rubén San Segundo; Luis Fernando D'Haro; Juan Manuel Montero (IEEE Instrum. Meas. Mag., 2022)

Video Memorability Prediction From Jointly-learnt Semantic and Visual Features. - Iván Martín-Fernández; Ricardo Kleinlein; Cristina Luna Jiménez; Manuel Gil-Martín; Fernando Fernández Martínez (CBMI, 2023)

Interpreting Sign Language Recognition using Transformers and MediaPipe Landmarks. - Cristina Luna Jiménez; Manuel Gil-Martín; Ricardo Kleinlein; Rubén San Segundo; Fernando Fernández Martínez (ICMI, 2023)

Exploring Video Transformers and Automatic Segment Selection for Memorability Prediction. - Iván Martín-Fernández; Sergio Esteban Romero; Jaime Bellver-Soler; Manuel Gil-Martín; Fernando Fernández Martínez (MediaEval, 2023)

Multimodal and Multilingual Olfactory Matching based on Contrastive Learning. - Sergio Esteban Romero; Iván Martín-Fernández; Jaime Bellver-Soler; Manuel Gil-Martín; Fernando Fernández Martínez (MediaEval, 2023)

Signal and Visual Approaches for Parkinson's Disease Detection from Spiral Drawings. - Manuel Gil-Martín; Cristina Luna Jiménez; Fernando Fernández Martínez; Rubén San Segundo (NLDL, 2023)

Sign Language Dataset for Automatic Motion Generation. - María Villa-Monedero; Manuel Gil-Martín; Daniel Sáez-Trigueros; Andrzej Pomirski; Rubén San Segundo (J. Imaging, 2023)

Reducing the Impact of Sensor Orientation Variability in Human Activity Recognition Using a Consistent Reference System. - Manuel Gil-Martín; Javier López-Iniesta; Fernando Fernández Martínez; Rubén San Segundo (Sensors, 2023)

Sign Language Motion Generation from Sign Characteristics. - Manuel Gil-Martín; María Villa-Monedero; Andrzej Pomirski; Daniel Sáez-Trigueros; Rubén San Segundo (Sensors, 2023)

A Comprehensive Analysis of Parkinson's Disease Detection Through Inertial Signal Processing. - Manuel Gil-Martín; Sergio Esteban Romero; Fernando Fernández Martínez; Rubén San Segundo (ICAART (3), 2024)

Parkinson's Disease Detection Through Inertial Signals and Posture Insights. - Manuel Gil-Martín; Sergio Esteban Romero; Fernando Fernández Martínez; Rubén San Segundo (ICAART (3), 2024)

Larger Encoders, Smaller Regressors: Exploring Label Dimensionality Reduction and Multimodal Large Language Models as Feature Extractors for Predicting Social Perception. - Iván Martín-Fernández; Sergio Esteban Romero; Jaime Bellver-Soler; Fernando Fernández Martínez; Manuel Gil-Martín (MuSe@ACM Multimedia, 2024)

LLM-Driven Multimodal Fusion for Human Perception Analysis. - Sergio Esteban Romero; Iván Martín-Fernández; Manuel Gil-Martín; David Griol Barres; Zoraida Callejas Carrión; Fernando Fernández Martínez (MuSe@ACM Multimedia, 2024)

THAU-UPM at EmoSPeech-IberLEF2024: Efficient Adaptation of Mono-modal and Multi-modal Large Language Models for Automatic Speech Emotion Recognition. - Sergio Esteban Romero; Jaime Bellver-Soler; Iván Martín-Fernández; Manuel Gil-Martín; Luis Fernando D'Haro; Fernando Fernández Martínez (IberLEF@SEPLN, 2024)

Evaluating emotional and subjective responses in synthetic art-related dialogues: A multi-stage framework with large language models. - Cristina Luna Jiménez; Manuel Gil-Martín; Luis Fernando D'Haro; Fernando Fernández Martínez; Rubén San-Segundo-Hernández (Expert Syst. Appl., 2024)

Hand Gesture Recognition Using MediaPipe Landmarks and Deep Learning Networks. - Manuel Gil-Martín; Marco Raoul Marini; Iván Martín-Fernández; Sergio Esteban Romero; Luigi Cinque (ICAART (3), 2025)

Towards Multi-View Hand Pose Recognition Using a Fusion of Image Embeddings and Leap 2 Landmarks. - Sergio Esteban Romero; Romeo Lanzino; Marco Raoul Marini; Manuel Gil-Martín (ICAART (3), 2025)

LLM-Driven Multimodal Video-Text Fusion for Isolated Sign Language Recognition. - Sergio Esteban Romero; Cristina Luna Jiménez; Manuel Gil-Martín; Fernando Fernández Martínez; Elisabeth André (IVA (Adjunct), 2025)

Synthesizing Olfactory Understanding: Multimodal Language Models for Image-Text Smell Matching. - Sergio Esteban Romero; Iván Martín-Fernández; Manuel Gil-Martín; Fernando Fernández Martínez (Symmetry, 2025)

Hybrid Artificial Intelligence Strategies for Drone Navigation. - Rubén San Segundo; Lucía Angulo; Manuel Gil-Martín; David Carramiñana; Ana M. Bernardos (CoRR, 2025)