Edoardo Ragusa

Orcid: 0000-0002-5527-6325

According to our database¹, Edoardo Ragusa authored at least 44 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Running hardware-aware neural architecture search on embedded devices under 512MB of RAM.

[BibT_eX]

[DOI]

Andrea Mattia Garavagno

Edoardo Ragusa

Antonio Frisoli

Paolo Gastaldo

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.

[BibT_eX]

[DOI]

Neural Comput. Appl., March, 2023

A hardware-aware neural architecture search algorithm targeting low-end microcontrollers.

[BibT_eX]

[DOI]

Andrea Mattia Garavagno

Edoardo Ragusa

Antonio Frisoli

Paolo Gastaldo

Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

Affordance segmentation of hand-occluded containers from exocentric images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Selecting Language Models Features VIA Software-Hardware Co-Design.

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[DOI]

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.

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[DOI]

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module.

[BibT_eX]

[DOI]

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022

Toward hardware-aware deep-learning-based dialogue systems.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Design and Deployment of an Image Polarity Detector with Visual Attention.

[BibT_eX]

[DOI]

Cogn. Comput., 2022

Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels.

[BibT_eX]

[DOI]

Edoardo Ragusa

Valentina Mastronardi

Proceedings of the Advances in System-Integrated Intelligence, 2022

Design and Deployment of an Efficient Landing Pad Detector.

[BibT_eX]

[DOI]

Proceedings of the Advances in System-Integrated Intelligence, 2022

A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Container Localisation and Mass Estimation with an RGB-D Camera.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems.

[BibT_eX]

[DOI]

Edoardo Ragusa

Matteo Pastorino Ghezzi

Rodolfo Zunino

Paolo Gastaldo

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

2021

Emotion Recognition on Edge Devices: Training and Deployment.

[BibT_eX]

[DOI]

Sensors, 2021

T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects.

[BibT_eX]

[DOI]

Sensors, 2021

Random-based networks with dropout for embedded systems.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Hardware-Aware Affordance Detection for Application in Portable Embedded Systems.

[BibT_eX]

[DOI]

IEEE Access, 2021

1-D Convolutional Neural Networks for Touch Modalities Classification.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Electronics, 2021

A pose-based hand image classification method retrainable on embedded target devices.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Electronics, 2021

An Affordance Detection Pipeline for Resource-Constrained Devices.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021

Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Balancing computational complexity and generalization ability: A novel design for ELM.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Image Polarity Detection on Resource-Constrained Devices.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2020

An hardware-aware image polarity detector enhanced with visual attention.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

COAL: Convolutional Online Adaptation Learning for Opinion Mining.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Video Grasping Classification Enhanced with Automatic Annotations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Edoardo Ragusa

PhD thesis, 2019

Cognitive Insights into Sentic Spaces Using Principal Paths.

[BibT_eX]

[DOI]

Edoardo Ragusa

Paolo Gastaldo

Rodolfo Zunino

Marco Jacopo Ferrarotti

Walter Rocchia

Sergio Decherchi

Cogn. Comput., 2019

Learning with Similarity Functions: a Tensor-Based Framework.

[BibT_eX]

[DOI]

Cogn. Comput., 2019

Fast Transfer Learning for Image Polarity Detection.

[BibT_eX]

[DOI]

Edoardo Ragusa

Paolo Gastaldo

Rodolfo Zunino

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Data-Driven Video Grasping Classification for Low-Power Embedded System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus.

[BibT_eX]

[DOI]

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2019

2018

A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2018

Bayesian network based extreme learning machine for subjectivity detection.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2018

Text-Image Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2017

Learning with similarity functions: A novel design for the extreme learning machine.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2016

Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2015

Edoardo Ragusa

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