Total JCR Publications: Q1: 5; Q2: 4

2025. Q1: 1, Q2: 1

1. M. Lupión, V. González-Ruiz, J. F. Sanjuan, P.M. Ortigosa. Privacy-aware fall detection and alert management in smart environments using multimodal devices. Internet of Things, 2025, doi=https://doi.org/10.1016/j.iot.2025.101526, JCR (2023) = 6. Subject categories = Computer science, Information Systems: 29/250 (Q1).

2. M. Lupión, N.C. Cruz, F. Romero, J.F. Sanjuan, P.M. Ortigosa. A Lightweight Execution Manager for Training TensorFlow Models under the Slurm Queuing System. Acta Polythechnica Hungarica, 22(3), 63-78, 2025. JCR(2023) = 1.4. Subject categories = Engineering, Multidisciplinary: 80/181 (Q2).

2024. Q1: 1

3. M. Lupión, F. Cruciani, I. Cleland, C. Nugent, P.M. Ortigosa. Data augmentation for Human Activity Recognition with Generative Adversarial Networks. IEEE Journal of Biomedical and Health Informatics, 2024, JCR (2022) = 7.7. Subject categories = Computer science, Information Systems: 17/158 (Q1); Computer science, interdisciplinary applications: 18/110 (Q1); Mathematical & computational biology: 4/55 (D1)(Q1); Medical informatics: 3/31 (D1)(Q1). 

2023.   Q1: 2

1. M. Lupión, A. Polo-Rodríguez, J. Medina-Quero, J. F. Sanjuan, P.M. Ortigosa. 3D Human Pose Estimation from multi-view thermal vision sensors. Information Fusion, 2023, JCR (2022) = 18,3. Subject categories = Computer Science, Theory & Methods: 2/144 (D1)(Q1).

2. M. Lupión, V. González-Ruiz, J. Medina-Quero, J. F. Sanjuan and P. M. Ortigosa. THPoseLite, a Lightweight Neural Network for Detecting Pose in Thermal Images. IEEE Internet of Things Journal. 2023. JCR doi: 10.1109/JIOT.2023.3264215. JCR (2021) = 10.238. Subject Categories: Computer Science, Information Systems: 9/164 (D1)(Q1); Engineering, electrical & electronic: 18/276 (D1)(Q1); Telecommunications: 6/93 (D1)(Q1).

2022.   Q1: 1, Q2: 2

3. M. Lupión, N.C. Cruz, J.F. Sanjuan, B. Paechter and P.M. Ortigosa. Accelerating neural network architecture search using multi-GPU high-performance computing. Journal of Supercomputing, In press, 2022. JCR (2021) = 2.557. Subject categories: Computer Science, Theory & Methods: 43/110 (Q2).

4. M. Lupión, A. Polo-Rodríguez, J. Medina-Quero, J.F. Sanjuan, P.M. Ortigosa. On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors.  Expert Systems with Applications. 2022. JCR (2021) = 8,665. Subject categories = Computer Science,  Artificial Intelligence: 21/144 (Q1) ; Operations Research & Management Science: 8/87 (D1)(Q1); Engineering, Electrical & Electronics:  23/276 (D1)(Q1).

5. M. Lupión, J.F. Sanjuan, P.M. Ortigosa. Using a Multi-GPU node to accelerate the training of Pix2Pix neural networks. Journal of Supercomputing. 2022. JCR (2021) =2,557. Subject categories = Computer Science, Theory & Methods: 43/109 (Q2).

2021.   Q2: 1

1. M. Lupión, J. Medina-Quero, J.F. Sanjuan, P.M. Ortigosa,  DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensor in Real-Life Deployments - A Case Study in the Smart Lab of the University of Almería", Sensors (2021), 21(2), 405, DOI 10.3390/s2102405. JCR = 3,847. Subject categories =Instrument & instrumentation 19/64 (Q2) .

Total International Conferences: 21

2024. Total: 3

1. Lupión, M., González-Ruiz, V., Sanjuan, JF., Ortigosa, PM. Empowering the Disabled: Object Detection and Recognition for Enhanced Autonomy. UCAmI'24 Conference. 26-29 November, 2024. Belfast, United Kingdom. 

2. Lupión, M., González-Ruiz, V., Sanjuan, JF., Ortigosa, PM. Enhancing Smart Home Accessibility for the Deaf Through Transformer-Based Sign Language Production and Avatars. UCAmI'24 Conference. 26-29 November, 2024. Belfast, United Kingdom. 

3. F Romero, M Lupión, NC Cruz, LF Romero, PM Ortigosa. On the Use of GPU Computing for Accelerating EEG Preprocessing. EuroPAR'24. 26-28 August, 2024. Madrid, Spain.

4. N.C. Cruz, M. Lupión, F. Romero, E.M. Ortigosa, J.F. Sanjuan-Estrada y P.M. Ortigosa. Expanding the vision of High-Performance Computing: A case study on IoT solutions. En Proceedings of 16th International Conference on Education and New Learning Technologies (EDULEARN 2024), Ref. 844, Palma de Mallorca, España, July, 2024.

2023. Total: 7

5. Lupión, M., González-Ruiz, V., Medina-Quero, J., Sanjuan, JF., Ortigosa, PM. THPoseLite, a Lightweight Neural Network for Detecting Pose in Thermal Images. Andaluz.IA Conference. 19-20 December, 2023. Sevilla, Spain. 

6. Lupión, M.,  Romero,  F.,  Romero, LF. ,  Sanjuan JF., Ortigosa, PM.  Edge IoT System for Wearable Devices: Real-Time Data Processing, Inference, and Training for Activity Monitoring and Health Evaluation. 15th International Conference on Ubiquitous Computing and Ambient Intelligence. 28th to November 30th, 2023. Riviera Maya, Mexico. 

7. Romero,  F., Romero, LF., Lupión, M., Sanjuan JF., Ortigosa, PM.  Accelerating Epilepsy Diagnosis and Prediction on EEG Signals with GPU-Based Frequency Domain Analysis and Resampling. CMMSE 2023. July 3-8. Rota, Spain.

8. Lupión, M. López L., González-Ruiz, V., Sanjuan, JF., Ortigosa, PM. Fall Detection in Smart Environments: A Comparative Study between Thermal Cameras and IMU-based Devices. 17th International Work-Conference on Artificial Neural Networks. 19-21 june. Ponta Delgada, Azores, Portugal, 2023. 

9. Cruz, N.C., Sanjuan Estrada, J.F., Lupión, M., Garzón E.M., Ortigosa, P.M. Low-cost chip programming for teaching and learning digital skills. EDULEARN23 Proceedings, pp.  2662-2671, IATED, 3rd-5th July 2023. ISBN: 978-84-09-52151-7.

10. Sanjuan Estrada, J.F., Cruz, N.C., Lupión, M., Garzón E.M., Ortigosa, P.M. Artificial intelligence applied to teaching. EDULEARN23 Proceedings, pp.  2692-2701, IATED, 3rd-5th July 2023. ISBN: 978-84-09-52151-7.

11. Sanjuan Estrada, J.F., Cruz, N.C., Lupión, M., Garzón E.M., Ortigosa, P.M. Teamwork using Colab notebooks in the cloud. EDULEARN23 Proceedings, pp.  2710-2718, IATED, 3rd-5th July 2023. ISBN: 978-84-09-52151-7.

2022. Total: 9

1. Lupión, M., Polo-Rodríguez,  A., Ortigosa, PM.,  Medina-Quero, J. ThermalYOLO: A Person Detection Neural Network in Thermal Images for Smart Environments. 14th International Conference on Ubiquitous Computing and Ambient Intelligence. 30nd november-2 december, 2022. Córdoba, Spain. 

2. Lupión, M., Cruz, N.C., Ortigosa, P.M.  Teaching-Learning-based optimization for designing convolutional neural networks. HUGO 2022. September 6-8. Szeged, Hungary.

3. Lupión, M., González-Ruiz, V., Sanjuan, J.F. , Medina-Quero, J., Ortigosa, P.M.  Detection of unconsciousness in falls using thermal vision sensors. ICR 2022. August 29-31. Athens, Greece.

4. Lupión, M., Cruz, N.C., Paechter, B., Ortigosa, P.M.  On the use of teaching-learning based optimization to train neural networks. Europt 2022. July 29-30. Caparica, Portugal.

5. Lupión, M., Cruz, N.C., Ortigosa, P.M.  Training large convolutional neural networks through population-based meta-heuristics. OLA 2022. July 18-20. Syracuse, Italy.

6. Lupión, M., Sanjuan, J.F., Medina-Quero, J., Ortigosa, P.M.  Epilepsy seizure detection using low-cost IoT devices and a federated machine learning algorithm. ISAmI 2022. July 13-15. L’Aquila, Italy.

7. Lupión, M., Cruz, N.C., Paechter, B., Ortigosa, P.M.  On optimizing the structure of neural networks through a compact codification of their architecture. MIC 2022. July 11-14. Ortigia-Syracuse, Italy.

8. Lupión, M., Cruz, N.C., Ortigosa, P.M.  On analyzing a parallel multi-GPU framework for the architecture optimization of neural networks. CMMSE 2022. July 3-7. Rota, Spain.

9. Polo-Rodríguez, A., Lupión, M., Ortigosa, P.M., Medina-Quero, J. Estimating frontal body-landmark from thermal sensors using Residual Neural Networks. IWBBIO 2022. June 27-30. Gran Canaria, Spain.

2021. Total: 1

1. Marcos Lupión, Juan F. Sanjuan, P.M. Ortigosa Accelerating Pix2Pix training using a multi-gpu node. CMMSE 2021. July 22-27. Rota, Cádiz

2020. Total: 1

1. Lupión M., Redondo J.L., Sanjuan J.F., Ortigosa P.M.  Deployment of an IoT Platform for Activity Recognition at the UAL’s Smart Home. In: Novais P., Vercelli G., Larriba-Pey J.L., Herrera F., Chamoso P. (eds) Ambient Intelligence – Software and Applications. ISAmI 2020. Advances in Intelligent Systems and Computing, vol 1239. Springer, Cham. https://doi.org/10.1007/978-3-030-58356-9_9

Total National Conferences: 3

2024

1. N.C. Cruz, M. Lupión, F. Romero, E.M. Ortigosa, J. Sanjuan-Estrada y P.M. Ortigosa. Ampliando la visión de la Computación de Altas Prestaciones: Caso de estudio en soluciones IoT.Jornadas Sarteco CEDI, 17-21 junio, 2024, A Coruña

2. M Lupión, NC Cruz, F Romero, J Sanjuan-Estrada and PM Ortigosa. Herramienta de gestión de entrenamientos de TensorFlow en un clúster de HPC gestionado con SLURM. Jornadas Sarteco CEDI, 17-21 junio, 2024, A Coruña

3. F Romero, M Lupión, NC Cruz, LF Romero, and PM Ortigosa. Optimización de la lectura de archivos EDF en C++: Avances para el procesamiento eficiente en GPU de grandes conjuntos de datos de EEG. Jornadas Sarteco CEDI, 17-21 junio, 2024, A Coruña

2023

1. Romero,  F., Romero, LF., Lupión, M., Sanjuan JF., Ortigosa, PM.  Metodología de adquisición y procesamiento de datos para la detección de crisis epilépticas utilizando dispositivos IoT y GPUs. Jornadas SARTECO 2023. 20-22 September. Ciudad Real, Spain.

2022

1. Lupión, M., Cruz, N.C., Ortigosa, P.M. Análisis preliminar de un framework multi-GPU para la optimización de la arquitectura de redes neuronales. Jornadas SARTECO 2022. September 21-23. Alicante, Spain.

2021

1. M. Lupion, J. Medina-Quero, J.F. Sanjuan, J.L. Redondo, P. M. Ortigosa. Sistema distribuido de reconocimiento de actividades en tiempo real, DOLARS,  Libro de actas de las Jornadas SARTECO 2021. Universidad de Málaga, Septiembre 2021.