Edoardo Ragusa

67 papers B 3C 4Misc 2Journal 32Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bio-Adaptive Robot Control: Integrating Biometric Feedback and Gesture-Based Interfaces for Intuitive Human-Robot Interaction (HRI). Robotics Antonio Di Tecco, Daniele Leonardis, Edoardo Ragusa, Antonio Frisoli, Claudio Loconsole
2026	J	`jnl`	Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices. IEEE Trans. Netw. Serv. Manag. Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2026	J	`jnl`	The data heat island effect: quantifying the impact of AI data centers in a warming world. CoRR Andrea Marinoni, Erik Cambria, Luca Dal Zilio, Weisi Lin, Mauro Dalla Mura, Jocelyn Chanussot, Edoardo Ragusa, Chi Yan Tso, Yihao Zhu, Benjamin P. Horton
2025	C	`conf`	Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters. ISNCC Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2025	J	`jnl`	Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters. CoRR Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2025	—	`conf`	Automatic Aging Prediction of High Voltage Apparatus Based on Differential Measurements. ApplePies Edoardo Ragusa, Christian Gianoglio, Laura Della Giovanna
2025	J	`jnl`	Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices. CoRR Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2025	C	`conf`	Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers. ISCC Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2025	J	`jnl`	Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers. CoRR Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2025	J	`jnl`	Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL. CoRR Ali Diab, Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Amer Baghdadi, Mostafa Rizk
2025	C	`conf`	On-Device Neural Architecture Search. ICCE Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo, Antonio Frisoli, Claudio Loconsole
2025	J	`jnl`	Searching Neural Architectures for Sensor Nodes on IoT Gateways. CoRR Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo
2025	J	`jnl`	Searching Neural Architectures for Sensor Nodes on IoT Gateways. IEEE Internet Things J. Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo
2025	J	`jnl`	Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems. Future Gener. Comput. Syst. Paolo Gastaldo, Edoardo Ragusa, Strahinja Dosen, Francesco Palmieri
2025	B	`conf`	The impact of Sensing Parameters on Vibration Anomaly Detection Using Tiny DNNs. IJCNN Edoardo Ragusa, Federica Zonzini, Luca De Marchi, Paolo Gastaldo
2025	J	`jnl`	Tiny Neural Networks for Session-Level Traffic Classification. CoRR Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2024	J	`jnl`	Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics. IEEE Trans. Ind. Informatics Edoardo Ragusa, Federica Zonzini, Paolo Gastaldo, Luca De Marchi
2024	J	`jnl`	Compression-Accuracy Co-Optimization Through Hardware-Aware Neural Architecture Search for Vibration Damage Detection. IEEE Internet Things J. Edoardo Ragusa, Federica Zonzini, Luca De Marchi, Rodolfo Zunino
2024	J	`jnl`	Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs. IEEE Access Edoardo Ragusa, Tommaso Taccioli, Alessio Canepa, Rodolfo Zunino, Paolo Gastaldo
2024	C	`conf`	Running hardware-aware neural architecture search on embedded devices under 512MB of RAM. ICCE Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo
2024	—	`conf`	Tiny Neural Networks for Session-Level Traffic Classification. ApplePies Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2023	—	`conf`	A hardware-aware neural architecture search algorithm targeting low-end microcontrollers. PRIME Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo
2023	—	`ed.`	Advances in System-Integrated Intelligence - Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy SYSINT Maurizio Valle, Dirk Lehmhus, Christian Gianoglio, Edoardo Ragusa, Lucia Seminara, Stefan Bosse, Ali Ibrahim, Klaus-Dieter Thoben
2023	—	`conf`	Affordance segmentation of hand-occluded containers from exocentric images. ICCV (Workshops) Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo
2023	J	`jnl`	Affordance segmentation of hand-occluded containers from exocentric images. CoRR Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo
2023	J	`jnl`	An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices. Neural Comput. Appl. Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2023	—	`conf`	Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks. ApplePies Federica Zonzini, Edoardo Ragusa, Luca De Marchi, Paolo Gastaldo
2023	—	`conf`	Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module. ApplePies Simone Lugani, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo
2023	Misc	`conf`	Selecting Language Models Features VIA Software-Hardware Co-Design. ICASSP Vlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
2022	—	`conf`	A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication. ICECS 2022 Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Maurizio Valle, Paolo Gastaldo
2022	—	`conf`	Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems. ApplePies Edoardo Ragusa, Matteo Pastorino Ghezzi, Rodolfo Zunino, Paolo Gastaldo
2022	Misc	`conf`	Container Localisation and Mass Estimation with an RGB-D Camera. ICASSP Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro
2022	J	`jnl`	Container Localisation and Mass Estimation with an RGB-D Camera. CoRR Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro
2022	—	`conf`	Design and Deployment of an Efficient Landing Pad Detector. SYSINT Andrea Albanese, Tommaso Taccioli, Tommaso Apicella, Davide Brunelli, Edoardo Ragusa
2022	J	`jnl`	Design and Deployment of an Image Polarity Detector with Visual Attention. Cogn. Comput. Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2022	—	`conf`	Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller. ICECS 2022 Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo
2022	—	`conf`	Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels. SYSINT Edoardo Ragusa, Valentina Mastronardi, Deborah Pedone, Mauro Moglianetti, Pier Paolo Pompa, Rodolfo Zunino, Paolo Gastaldo
2022	J	`jnl`	Toward hardware-aware deep-learning-based dialogue systems. Neural Comput. Appl. Vlad Pandelea, Edoardo Ragusa, Tom Young, Paolo Gastaldo, Erik Cambria
2021	—	`conf`	1-D Convolutional Neural Networks for Touch Modalities Classification. ICECS Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Maurizio Valle
2021	—	`conf`	A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles. ApplePies Tommaso Apicella, Edoardo Ragusa, Alessio Canepa, Paolo Gastaldo
2021	—	`conf`	A pose-based hand image classification method retrainable on embedded target devices. ICECS Alessio Canepa, Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino
2021	—	`conf`	An Affordance Detection Pipeline for Resource-Constrained Devices. ICECS Tommaso Apicella, Andrea Cavallaro, Riccardo Berta, Paolo Gastaldo, Francesco Bellotti, Edoardo Ragusa
2021	—	`conf`	Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication. AICAS Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo
2021	J	`jnl`	Emotion Recognition on Edge Devices: Training and Deployment. Sensors Vlad Pandelea, Edoardo Ragusa, Tommaso Apicella, Paolo Gastaldo, Erik Cambria
2021	J	`jnl`	Hardware-Aware Affordance Detection for Application in Portable Embedded Systems. IEEE Access Edoardo Ragusa, Christian Gianoglio, Strahinja Dosen, Paolo Gastaldo
2021	J	`jnl`	Random-based networks with dropout for embedded systems. Neural Comput. Appl. Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2021	J	`jnl`	T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects. Sensors Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo
2020	J	`jnl`	A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices. Neural Process. Lett. Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2020	B	`conf`	An hardware-aware image polarity detector enhanced with visual attention. IJCNN Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2020	J	`jnl`	Balancing computational complexity and generalization ability: A novel design for ELM. Neurocomputing Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2020	—	`conf`	COAL: Convolutional Online Adaptation Learning for Opinion Mining. ICDM (Workshops) Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
2020	J	`jnl`	Image Polarity Detection on Resource-Constrained Devices. IEEE Intell. Syst. Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2020	—	`conf`	Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization. AICAS Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2020	—	`conf`	Video Grasping Classification Enhanced with Automatic Annotations. ApplePies Edoardo Ragusa, Christian Gianoglio, Filippo Dalmonte, Paolo Gastaldo
2019	—	`conf`	A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function. ICECS Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2019	J	`jnl`	Cognitive Insights into Sentic Spaces Using Principal Paths. Cogn. Comput. Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Marco Jacopo Ferrarotti, Walter Rocchia, Sergio Decherchi
2019	—	`conf`	Data-Driven Video Grasping Classification for Low-Power Embedded System. ICECS Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
2019	—	`conf`	Fast Transfer Learning for Image Polarity Detection. INNSBDDL Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
2019	J	`jnl`	Learning with Similarity Functions: a Tensor-Based Framework. Cogn. Comput. Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2019	—	`—`	Machine Learning in Resource-constrained Devices: Algorithms, Strategies, and Applications. Edoardo Ragusa
2019	—	`conf`	Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus. ApplePies Christian Gianoglio, Andrea Bruzzone, Edoardo Ragusa, Paolo Gastaldo
2018	J	`jnl`	A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices. IEEE Trans. Circuits Syst. II Express Briefs Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino
2018	J	`jnl`	Bayesian network based extreme learning machine for subjectivity detection. J. Frankl. Inst. Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2018	—	`conf`	Text-Image Sentiment Analysis. CICLing (2) Qian Chen, Edoardo Ragusa, Iti Chaturvedi, Erik Cambria, Rodolfo Zunino
2017	J	`jnl`	Learning with similarity functions: A novel design for the extreme learning machine. Neurocomputing Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino
2016	B	`conf`	Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling. ASONAM Claudia Meda, Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Augusto Ottaviano, Eugenio Scillia, Roberto Surlinelli
2015	J	`jnl`	Low-complexity digital architecture for solving the point location problem in explicit Model Predictive Control. J. Frankl. Inst. Alberto Oliveri, Christian Gianoglio, Edoardo Ragusa, Marco Storace