Manuel Gil-Martín

According to our database, Manuel Gil-Martín authored at least 24 papers between 2018 and 2024.

Collaborative distances:

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

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

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

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 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

Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, 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

Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, 2024

Parkinson's Disease Detection Through Inertial Signals and Posture Insights.

Manuel Gil-Martín, Sergio Esteban Romero, Fernando Fernández Martínez, Rubén San Segundo

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Comprehensive Analysis of Parkinson's Disease Detection Through Inertial Signal Processing.

Manuel Gil-Martín, Sergio Esteban Romero, Fernando Fernández Martínez, Rubén San Segundo

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Sign Language Motion Generation from Sign Characteristics.

Manuel Gil-Martín, María Villa-Monedero, Andrzej Pomirski, Daniel Sáez-Trigueros, Rubén San Segundo

Sensors, December, 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, July, 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

Signal and Visual Approaches for Parkinson's Disease Detection from Spiral Drawings.

Manuel Gil-Martín, Cristina Luna Jiménez, Fernando Fernández Martínez, Rubén San Segundo

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 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

Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 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

Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

Interpreting Sign Language Recognition using Transformers and MediaPipe Landmarks.

Cristina Luna Jiménez, Manuel Gil-Martín, Ricardo Kleinlein, Rubén San Segundo, Fernando Fernández Martínez

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Video Memorability Prediction From Jointly-learnt Semantic and Visual Features.

Iván Martín-Fernández, Ricardo Kleinlein, Cristina Luna Jiménez, Manuel Gil-Martín, Fernando Fernández Martínez

Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

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

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

Proceedings of the 6th International Conference, 2022

2021

Scoring Performance on the Y-Balance Test Using a Deep Learning Approach.

Manuel Gil-Martín, William Johnston, Rubén San Segundo, Brian Caulfield

Sensors, 2021

Time Analysis in Human Activity Recognition.

Manuel Gil-Martín, Rubén San Segundo, Fernando Fernández Martínez, Javier Ferreiros López

Neural Process. Lett., 2021

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

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

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

2019

Estimating gravity component from accelerometers.

Manuel Gil-Martín, Rubén San Segundo, Syaheerah Lebai Lutfi, Alejandro Coucheiro-Limeres

IEEE Instrum. Meas. Mag., 2019

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

2018

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