Juan Pedro Dominguez-Morales
Orcid: 0000-0002-5474-107X
According to our database1,
Juan Pedro Dominguez-Morales
authored at least 60 papers
between 2015 and 2023.
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Bibliography
2023
A systematic comparison of different machine learning models for the spatial estimation of air pollution.
Appl. Intell., December, 2023
Bioinspired Spike-Based Hippocampus and Posterior Parietal Cortex Models for Robot Navigation and Environment Pseudomapping.
Adv. Intell. Syst., November, 2023
Neuromorph. Comput. Eng., June, 2023
A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer.
Comput. Biol. Medicine, June, 2023
SoftwareX, May, 2023
Interfacing PDM MEMS Microphones with PFM Spiking Systems: Application for Neuromorphic Auditory Sensors.
Neural Process. Lett., April, 2023
Construction of a Spike-Based Memory Using Neural-Like Logic Gates Based on Spiking Neural Networks on SpiNNaker.
IEEE Trans. Emerg. Top. Comput., 2023
Bio-inspired computational memory model of the Hippocampus: an approach to a neuromorphic spike-based Content-Addressable Memory.
CoRR, 2023
Bio-inspired spike-based Hippocampus and Posterior Parietal Cortex models for robot navigation and environment pseudo-mapping.
CoRR, 2023
Live Demonstration: Bio-inspired implementation of a sparse-learning spike-based hippocampus memory model.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
2022
An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022
Neural Comput. Appl., 2022
Neurocomputing, 2022
A bio-inspired implementation of a sparse-learning spike-based hippocampus memory model.
CoRR, 2022
Towards the Neuromorphic Implementation of the Auditory Perception in the iCub Robotic Platform.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022
Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker.
Proceedings of the International Joint Conference on Neural Networks, 2022
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker.
Proceedings of the International Joint Conference on Neural Networks, 2022
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
OpenNAS: Open Source Neuromorphic Auditory Sensor HDL code generator for FPGA implementations.
Neurocomputing, 2021
Real-time detection of bursts in neuronal cultures using a neuromorphic auditory sensor and spiking neural networks.
Neurocomputing, 2021
pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing.
Neurocomputing, 2021
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition.
CoRR, 2021
CoRR, 2021
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems.
Comput. Biol. Medicine, 2021
2020
Neurocomputing, 2020
PROMETEO: A CNN-Based Computer-Aided Diagnosis System for WSI Prostate Cancer Detection.
IEEE Access, 2020
Live Demonstration: Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
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
Live Demonstration: Neuromorphic Robotics, from Audio to Locomotion Through Spiking CPG on SpiNNaker.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 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
Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
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
Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019
Proceedings of the Artificial Intelligence in Medicine, 2019
2018
Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors.
IEEE Trans. Biomed. Circuits Syst., 2018
Neurocomputing, 2018
Corrigendum to NAVIS: Neuromorphic Auditory VISualizer Tool. Neurocomputing 237C (2017) pp. 418-422.
Neurocomputing, 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
Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017
Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets.
Proceedings of the Advances in Computational Intelligence, 2017
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
Semi-wildlife gait patterns classification using statistical methods and Artificial Neural Networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana.
IEEE Commun. Lett., 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 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
2015
Proceedings of the International Conference on Computer, 2015