Total JCR Publications: Q1: 1; Q2: 2

2022. Q1: 1, Q2: 2

1. 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).

2. 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).

3. 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: 11

2022. Total: 9

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

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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: 2

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.