Edoardo Ragusa

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 45

Top Topics

Extreme Learning Machines

Matrix Multiplication

Top Venues

Neural Comput. Appl.

Publications

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) (2024)
Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM. ICCE (2024)
Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo
A hardware-aware neural architecture search algorithm targeting low-end microcontrollers. PRIME (2023)
Simone Lugani, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo
Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module. ApplePies (2023)
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) (2023)
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)
Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo
Affordance segmentation of hand-occluded containers from exocentric images. ICCV (Workshops) (2023)
Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo
Affordance segmentation of hand-occluded containers from exocentric images. CoRR (2023)
Vlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
Selecting Language Models Features VIA Software-Hardware Co-Design. ICASSP (2023)
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) (2022)
Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro
Container Localisation and Mass Estimation with an RGB-D Camera. CoRR (2022)
Edoardo Ragusa, Matteo Pastorino Ghezzi, Rodolfo Zunino, Paolo Gastaldo
Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems. ApplePies (2022)
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)
Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Maurizio Valle, Paolo Gastaldo
A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication. ICECS 2022 (2022)
Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro
Container Localisation and Mass Estimation with an RGB-D Camera. ICASSP (2022)
Vlad Pandelea, Edoardo Ragusa, Tom Young, Paolo Gastaldo, Erik Cambria
Toward hardware-aware deep-learning-based dialogue systems. Neural Comput. Appl. 34 (13) (2022)
Andrea Albanese, Tommaso Taccioli, Tommaso Apicella, Davide Brunelli, Edoardo Ragusa
Design and Deployment of an Efficient Landing Pad Detector. SYSINT (2022)
Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller. ICECS 2022 (2022)
Tommaso Apicella, Andrea Cavallaro, Riccardo Berta, Paolo Gastaldo, Francesco Bellotti, Edoardo Ragusa
An Affordance Detection Pipeline for Resource-Constrained Devices. ICECS (2021)
Vlad Pandelea, Edoardo Ragusa, Tommaso Apicella, Paolo Gastaldo, Erik Cambria
Emotion Recognition on Edge Devices: Training and Deployment. Sensors 21 (13) (2021)
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) (2021)
Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication. AICAS (2021)
Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Maurizio Valle
1-D Convolutional Neural Networks for Touch Modalities Classification. ICECS (2021)
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)
Alessio Canepa, Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino
A pose-based hand image classification method retrainable on embedded target devices. ICECS (2021)
Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
Random-based networks with dropout for embedded systems. Neural Comput. Appl. 33 (12) (2021)
Edoardo Ragusa, Christian Gianoglio, Strahinja Dosen, Paolo Gastaldo
Hardware-Aware Affordance Detection for Application in Portable Embedded Systems. IEEE Access 9 (2021)
Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
An hardware-aware image polarity detector enhanced with visual attention. IJCNN (2020)
Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
COAL: Convolutional Online Adaptation Learning for Opinion Mining. ICDM (Workshops) (2020)
Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
Image Polarity Detection on Resource-Constrained Devices. IEEE Intell. Syst. 35 (6) (2020)
Edoardo Ragusa, Christian Gianoglio, Filippo Dalmonte, Paolo Gastaldo
Video Grasping Classification Enhanced with Automatic Annotations. ApplePies (2020)
Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
Balancing computational complexity and generalization ability: A novel design for ELM. Neurocomputing 401 (2020)
Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization. AICAS (2020)
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) (2020)
Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
Fast Transfer Learning for Image Polarity Detection. INNSBDDL (2019)
Christian Gianoglio, Andrea Bruzzone, Edoardo Ragusa, Paolo Gastaldo
Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus. ApplePies (2019)
Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function. ICECS (2019)
Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
Data-Driven Video Grasping Classification for Low-Power Embedded System. ICECS (2019)
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) (2019)
Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
Learning with Similarity Functions: a Tensor-Based Framework. Cogn. Comput. 11 (1) (2019)
Qian Chen, Edoardo Ragusa, Iti Chaturvedi, Erik Cambria, Rodolfo Zunino
Text-Image Sentiment Analysis. CICLing (2) (2018)
Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
Bayesian network based extreme learning machine for subjectivity detection. J. Frankl. Inst. 355 (4) (2018)
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 (8) (2018)
Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino
Learning with similarity functions: A novel design for the extreme learning machine. Neurocomputing 261 (2017)
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)
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) (2015)