Edoardo Ragusa
Orcid: 0000-0002-5527-6325
According to our database1,
Edoardo Ragusa
authored at least 48 papers
between 2015 and 2025.
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Online presence:
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Bibliography
2025
Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems.
Future Gener. Comput. Syst., 2025
2024
Compression-Accuracy Co-Optimization Through Hardware-Aware Neural Architecture Search for Vibration Damage Detection.
IEEE Internet Things J., October, 2024
Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics.
IEEE Trans. Ind. Informatics, August, 2024
Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs.
IEEE Access, 2024
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
2023
An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices.
Neural Comput. Appl., March, 2023
A hardware-aware neural architecture search algorithm targeting low-end microcontrollers.
Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023
Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023
2022
Neural Comput. Appl., 2022
Cogn. Comput., 2022
Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels.
Proceedings of the Advances in System-Integrated Intelligence, 2022
Proceedings of the Advances in System-Integrated Intelligence, 2022
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022
2021
T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects.
Sensors, 2021
IEEE Access, 2021
Proceedings of the 28th IEEE International Conference on Electronics, 2021
A pose-based hand image classification method retrainable on embedded target devices.
Proceedings of the 28th IEEE International Conference on Electronics, 2021
Proceedings of the 28th IEEE International Conference on Electronics, 2021
A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices.
Neural Process. Lett., 2020
Balancing computational complexity and generalization ability: A novel design for ELM.
Neurocomputing, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2020
Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2019
Machine Learning in Resource-constrained Devices: Algorithms, Strategies, and Applications.
PhD thesis, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2019
2018
A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices.
IEEE Trans. Circuits Syst. II Express Briefs, 2018
J. Frankl. Inst., 2018
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018
2017
Neurocomputing, 2017
2016
Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Low-complexity digital architecture for solving the point location problem in explicit Model Predictive Control.
J. Frankl. Inst., 2015