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ORCIDEdoardo Ragusa
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2020 – today
- 2024
[j19]Edoardo Ragusa
, Tommaso Taccioli, Alessio Canepa, Rodolfo Zunino, Paolo Gastaldo:
Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs. IEEE Access 12: 124009-124020 (2024)- [j18]Edoardo Ragusa, Federica Zonzini, Luca De Marchi, Rodolfo Zunino:
Compression-Accuracy Co-Optimization Through Hardware-Aware Neural Architecture Search for Vibration Damage Detection. IEEE Internet Things J. 11(19): 31745-31757 (2024) - [j17]Edoardo Ragusa, Federica Zonzini, Paolo Gastaldo, Luca De Marchi:
Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics. IEEE Trans. Ind. Informatics 20(8): 10488-10498 (2024) - [c27]Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo:
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM. ICCE 2024: 1-2 - 2023
- [j16]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices. Neural Comput. Appl. 35(9): 6753-6766 (2023) - [c26]Federica Zonzini, Edoardo Ragusa, Luca De Marchi, Paolo Gastaldo:
Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks. ApplePies 2023: 103-108 - [c25]Simone Lugani, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module. ApplePies 2023: 437-443 - [c24]Vlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria:
Selecting Language Models Features VIA Software-Hardware Co-Design. ICASSP 2023: 1-5 - [c23]Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo:
Affordance segmentation of hand-occluded containers from exocentric images. ICCV (Workshops) 2023: 1890-1899 - [c22]Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo:
A hardware-aware neural architecture search algorithm targeting low-end microcontrollers. PRIME 2023: 281-284 - [e1]Maurizio Valle, Dirk Lehmhus, Christian Gianoglio, Edoardo Ragusa, Lucia Seminara, Stefan Bosse, Ali Ibrahim, Klaus-Dieter Thoben:
Advances in System-Integrated Intelligence - Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy. Lecture Notes in Networks and Systems 546, Springer 2023, ISBN 978-3-031-16280-0 [contents] - [i2]Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo:
Affordance segmentation of hand-occluded containers from exocentric images. CoRR abs/2308.11233 (2023) - 2022
- [j15]Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Design and Deployment of an Image Polarity Detector with Visual Attention. Cogn. Comput. 14(1): 261-273 (2022) - [j14]Vlad Pandelea, Edoardo Ragusa, Tom Young, Paolo Gastaldo, Erik Cambria:
Toward hardware-aware deep-learning-based dialogue systems. Neural Comput. Appl. 34(13): 10397-10408 (2022) - [c21]Edoardo Ragusa, Matteo Pastorino Ghezzi, Rodolfo Zunino, Paolo Gastaldo:
Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems. ApplePies 2022: 109-116 - [c20]Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro:
Container Localisation and Mass Estimation with an RGB-D Camera. ICASSP 2022: 9152-9155 - [c19]Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller. ICECS 2022 2022: 1-4 - [c18]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Maurizio Valle, Paolo Gastaldo:
A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication. ICECS 2022 2022: 1-4 - [c17]Edoardo Ragusa, Valentina Mastronardi, Deborah Pedone, Mauro Moglianetti, Pier Paolo Pompa, Rodolfo Zunino, Paolo Gastaldo:
Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels. SYSINT 2022: 95-104 - [c16]Andrea Albanese, Tommaso Taccioli, Tommaso Apicella, Davide Brunelli, Edoardo Ragusa:
Design and Deployment of an Efficient Landing Pad Detector. SYSINT 2022: 137-147 - [i1]Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro:
Container Localisation and Mass Estimation with an RGB-D Camera. CoRR abs/2203.01207 (2022) - 2021
- [j13]Edoardo Ragusa, Christian Gianoglio, Strahinja Dosen, Paolo Gastaldo:
Hardware-Aware Affordance Detection for Application in Portable Embedded Systems. IEEE Access 9: 123178-123193 (2021) - [j12]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Random-based networks with dropout for embedded systems. Neural Comput. Appl. 33(12): 6511-6526 (2021) - [j11]Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects. Sensors 21(4): 1252 (2021) - [j10]Vlad Pandelea, Edoardo Ragusa, Tommaso Apicella, Paolo Gastaldo, Erik Cambria:
Emotion Recognition on Edge Devices: Training and Deployment. Sensors 21(13): 4496 (2021) - [c15]Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication. AICAS 2021: 1-4 - [c14]Tommaso Apicella, Edoardo Ragusa, Alessio Canepa, Paolo Gastaldo:
A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles. ApplePies 2021: 86-92 - [c13]Tommaso Apicella, Andrea Cavallaro, Riccardo Berta, Paolo Gastaldo, Francesco Bellotti, Edoardo Ragusa:
An Affordance Detection Pipeline for Resource-Constrained Devices. ICECS 2021: 1-6 - [c12]Alessio Canepa, Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino:
A pose-based hand image classification method retrainable on embedded target devices. ICECS 2021: 1-6 - [c11]Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Maurizio Valle:
1-D Convolutional Neural Networks for Touch Modalities Classification. ICECS 2021: 1-6 - 2020
- [j9]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Image Polarity Detection on Resource-Constrained Devices. IEEE Intell. Syst. 35(6): 50-57 (2020) - [j8]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Balancing computational complexity and generalization ability: A novel design for ELM. Neurocomputing 401: 405-417 (2020) - [j7]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices. Neural Process. Lett. 51(2): 1611-1629 (2020) - [c10]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization. AICAS 2020: 276-280 - [c9]Edoardo Ragusa, Christian Gianoglio, Filippo Dalmonte, Paolo Gastaldo:
Video Grasping Classification Enhanced with Automatic Annotations. ApplePies 2020: 23-29 - [c8]Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria:
COAL: Convolutional Online Adaptation Learning for Opinion Mining. ICDM (Workshops) 2020: 15-22 - [c7]Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
An hardware-aware image polarity detector enhanced with visual attention. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [b1]Edoardo Ragusa:
Machine Learning in Resource-constrained Devices: Algorithms, Strategies, and Applications. University of Genoa, Italy, 2019 - [j6]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Learning with Similarity Functions: a Tensor-Based Framework. Cogn. Comput. 11(1): 31-49 (2019) - [j5]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Marco Jacopo Ferrarotti, Walter Rocchia, Sergio Decherchi:
Cognitive Insights into Sentic Spaces Using Principal Paths. Cogn. Comput. 11(5): 656-675 (2019) - [c6]Christian Gianoglio, Andrea Bruzzone, Edoardo Ragusa, Paolo Gastaldo:
Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus. ApplePies 2019: 301-307 - [c5]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function. ICECS 2019: 89-92 - [c4]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Data-Driven Video Grasping Classification for Low-Power Embedded System. ICECS 2019: 871-874 - [c3]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino:
Fast Transfer Learning for Image Polarity Detection. INNSBDDL 2019: 27-37 - 2018
- [j4]Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Bayesian network based extreme learning machine for subjectivity detection. J. Frankl. Inst. 355(4): 1780-1797 (2018) - [j3]Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino:
A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices. IEEE Trans. Circuits Syst. II Express Briefs 65-II(8): 1104-1108 (2018) - [c2]Qian Chen, Edoardo Ragusa, Iti Chaturvedi, Erik Cambria, Rodolfo Zunino:
Text-Image Sentiment Analysis. CICLing (2) 2018: 169-180 - 2017
- [j2]Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino:
Learning with similarity functions: A novel design for the extreme learning machine. Neurocomputing 261: 37-49 (2017) - 2016
- [c1]Claudia Meda, Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Augusto Ottaviano, Eugenio Scillia, Roberto Surlinelli:
Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling. ASONAM 2016: 811-817 - 2015
- [j1]Alberto Oliveri, Christian Gianoglio, Edoardo Ragusa, Marco Storace:
Low-complexity digital architecture for solving the point location problem in explicit Model Predictive Control. J. Frankl. Inst. 352(6): 2249-2258 (2015)
Coauthor Index
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