Antonio Rios-Navarro
Orcid: 0000-0003-4163-8484
According to our database1,
Antonio Rios-Navarro
authored at least 45 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Auton. Robots, October, 2023
Interfacing PDM MEMS Microphones with PFM Spiking Systems: Application for Neuromorphic Auditory Sensors.
Neural Process. Lett., April, 2023
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Inf. Sci., 2022
An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic Robotic Controllers.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
2021
A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders.
Sensors, 2021
Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model's Complexity on Its Processing Speed.
Sensors, 2021
Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification.
Sensors, 2021
pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing.
Neurocomputing, 2021
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems.
Comput. Biol. Medicine, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021
2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2019
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps.
IEEE Trans. Neural Networks Learn. Syst., 2019
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification.
CoRR, 2019
Interfacing PDM sensors with PFM spiking systems: application for Neuromorphic Auditory Sensors.
CoRR, 2019
Live Demonstration: Neuromorphic Row-by-Row Multi-Convolution FPGA Processor-SpiNNaker Architecture for Dynamic-Vision Feature Extraction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition: Using Dynamic Vision Sensor and NullHop one-layer CNN accelerator to play RoShamBo.
Proceedings of the XX International Conference on Human Computer Interaction, 2019
A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019
A neuromorphic approach of the sound source localization task in real-time embedded systems: work-in-progress.
Proceedings of the International Conference on Embedded Software Companion, 2019
2018
Neurocomputing, 2018
Entropy, 2018
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator.
CoRR, 2018
Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Proceedings of the Advances in Computational Intelligence, 2017
Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets.
Proceedings of the Advances in Computational Intelligence, 2017
Live demonstration - Multilayer spiking neural network for audio samples classification using SpiNNaker.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana.
IEEE Commun. Lett., 2016
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs.
CoRR, 2016
Live demonstration: Retinal ganglion cell software and FPGA implementation for object detection and tracking.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Retinal ganglion cell software and FPGA model implementation for object detection and tracking.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the Second International Conference on Event-based Control, 2016
Performance Evaluation of Neural Networks for Animal Behaviors Classification: Horse Gaits Case Study.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
2015
Live demonstration: Real-time motor rotation frequency detection by spike-based visual and auditory AER sensory integration for FPGA.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA.
Proceedings of the International Conference on Event-based Control, 2015
Proceedings of the International Conference on Computer, 2015