Jose Nunez-Yanez
Professor
Publikationer
Mahdieh Grailootanha, Jose Luis Nunez-Yanez, 
Heterogeneous Edge Computing for Molecular Property Prediction with Graph Convolutional Networks, Electronics 14:101 (2025) 
https://doi.org/10.3390/electronics14010101
Habib Taha Kose, Jose Nunez-Yanez, Robert Piechocki, James Pope, A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems, Information 15:377 (2024) https://doi.org/10.3390/info15070377
Mahdieh Grailootanha, Tooraj Nikoubin, Oscar Gustafsson, Jose Luis Nunez-Yanez, Activation Function Integration for Accelerating Multi-Layer Graph Convolutional Neural Networks, 17TH IEEE DALLAS CIRCUITS AND SYSTEMS CONFERENCE, DCAS 2024, Proceedings of the IEEE Dallas Circuits and Systems Workshop, IEEE (2024) https://doi.org/10.1109/DCAS61159.2024.10539892
Olle Hansson, Mahdieh Grailootanha, Oscar Gustafsson, Jose Luis Nunez-Yanez, Deep Quantization of Graph Neural Networks with Run-Time Hardware-Aware Training, APPLIED RECONFIGURABLE COMPUTING. ARCHITECTURES, TOOLS, AND APPLICATIONS, ARC 2024, Lecture Notes in Computer Science, pp. 33-47, SPRINGER INTERNATIONAL PUBLISHING AG (2024) https://doi.org/10.1007/978-3-031-55673-9_3
Zichao Shen, Jose Luis Nunez-Yanez, Naim Dahnoun, Advanced Millimeter-Wave Radar System for Real-Time Multiple-Human Tracking and Fall Detection, Sensors 24:3660 (2024) https://doi.org/10.3390/s24113660