Low-complexity digital architecture for solving the point location problem in explicit Model Predictive Control. - Alberto Oliveri; Christian Gianoglio; Edoardo Ragusa; Marco Storace (J. Frankl. Inst., 2015)

Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling. - Claudia Meda; Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Augusto Ottaviano; Eugenio Scillia; Roberto Surlinelli (ASONAM, 2016)

Learning with similarity functions: A novel design for the extreme learning machine. - Paolo Gastaldo; Federica Bisio; Christian Gianoglio; Edoardo Ragusa; Rodolfo Zunino (Neurocomputing, 2017)

Text-Image Sentiment Analysis. - Qian Chen 033; Edoardo Ragusa; Iti Chaturvedi; Erik Cambria; Rodolfo Zunino (CICLing (2), 2018)

Bayesian network based extreme learning machine for subjectivity detection. - Iti Chaturvedi; Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino; Erik Cambria (J. Frankl. Inst., 2018)

A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices. - Edoardo Ragusa; Christian Gianoglio; Paolo Gastaldo; Rodolfo Zunino (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus. - Christian Gianoglio; Andrea Bruzzone; Edoardo Ragusa; Paolo Gastaldo (ApplePies, 2019)

A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (ICECS, 2019)

Data-Driven Video Grasping Classification for Low-Power Embedded System. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (ICECS, 2019)

Fast Transfer Learning for Image Polarity Detection. - Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino (INNSBDDL, 2019)

Learning with Similarity Functions: a Tensor-Based Framework. - Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino; Erik Cambria (Cogn. Comput., 2019)

Cognitive Insights into Sentic Spaces Using Principal Paths. - Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino; Marco Jacopo Ferrarotti; Walter Rocchia; Sergio Decherchi (Cogn. Comput., 2019)

Machine Learning in Resource-constrained Devices: Algorithms, Strategies, and Applications. - Edoardo Ragusa (2019)

Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (AICAS, 2020)

Video Grasping Classification Enhanced with Automatic Annotations. - Edoardo Ragusa; Christian Gianoglio; Filippo Dalmonte; Paolo Gastaldo (ApplePies, 2020)

COAL: Convolutional Online Adaptation Learning for Opinion Mining. - Iti Chaturvedi; Edoardo Ragusa; Paolo Gastaldo; Erik Cambria (ICDM (Workshops), 2020)

An hardware-aware image polarity detector enhanced with visual attention. - Edoardo Ragusa; Tommaso Apicella; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (IJCNN, 2020)

Image Polarity Detection on Resource-Constrained Devices. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (IEEE Intell. Syst., 2020)

Balancing computational complexity and generalization ability: A novel design for ELM. - Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino; Erik Cambria (Neurocomputing, 2020)

A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (Neural Process. Lett., 2020)

Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication. - Christian Gianoglio; Edoardo Ragusa; Rodolfo Zunino; Paolo Gastaldo (AICAS, 2021)

A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles. - Tommaso Apicella; Edoardo Ragusa; Alessio Canepa; Paolo Gastaldo (ApplePies, 2021)

An Affordance Detection Pipeline for Resource-Constrained Devices. - Tommaso Apicella; Andrea Cavallaro; Riccardo Berta; Paolo Gastaldo; Francesco Bellotti; Edoardo Ragusa (ICECS, 2021)

A pose-based hand image classification method retrainable on embedded target devices. - Alessio Canepa; Edoardo Ragusa; Christian Gianoglio; Paolo Gastaldo; Rodolfo Zunino (ICECS, 2021)

1-D Convolutional Neural Networks for Touch Modalities Classification. - Christian Gianoglio; Edoardo Ragusa; Rodolfo Zunino; Maurizio Valle (ICECS, 2021)

Hardware-Aware Affordance Detection for Application in Portable Embedded Systems. - Edoardo Ragusa; Christian Gianoglio; Strahinja Dosen; Paolo Gastaldo (IEEE Access, 2021)

Random-based networks with dropout for embedded systems. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (Neural Comput. Appl., 2021)

T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects. - Alessio Canepa; Edoardo Ragusa; Rodolfo Zunino; Paolo Gastaldo (Sensors, 2021)

Emotion Recognition on Edge Devices: Training and Deployment. - Vlad Pandelea; Edoardo Ragusa; Tommaso Apicella; Paolo Gastaldo; Erik Cambria (Sensors, 2021)

Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems. - Edoardo Ragusa; Matteo Pastorino Ghezzi; Rodolfo Zunino; Paolo Gastaldo (ApplePies, 2022)

Container Localisation and Mass Estimation with an RGB-D Camera. - Tommaso Apicella; Giulia Slavic; Edoardo Ragusa; Paolo Gastaldo; Lucio Marcenaro (ICASSP, 2022)

Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller. - Alessio Canepa; Edoardo Ragusa; Rodolfo Zunino; Paolo Gastaldo (ICECS 2022, 2022)

A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Maurizio Valle; Paolo Gastaldo (ICECS 2022, 2022)

Design and Deployment of an Efficient Landing Pad Detector. - Andrea Albanese; Tommaso Taccioli; Tommaso Apicella; Davide Brunelli; Edoardo Ragusa (SYSINT, 2022)

Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels. - Edoardo Ragusa; Valentina Mastronardi; Deborah Pedone; Mauro Moglianetti; Pier Paolo Pompa; Rodolfo Zunino; Paolo Gastaldo (SYSINT, 2022)

Design and Deployment of an Image Polarity Detector with Visual Attention. - Edoardo Ragusa; Tommaso Apicella; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (Cogn. Comput., 2022)

Toward hardware-aware deep-learning-based dialogue systems. - Vlad Pandelea; Edoardo Ragusa; Tom Young; Paolo Gastaldo; Erik Cambria (Neural Comput. Appl., 2022)

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module. - Simone Lugani; Edoardo Ragusa; Rodolfo Zunino; Paolo Gastaldo (ApplePies, 2023)

Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks. - Federica Zonzini; Edoardo Ragusa; Luca De Marchi; Paolo Gastaldo (ApplePies, 2023)

Selecting Language Models Features VIA Software-Hardware Co-Design. - Vlad Pandelea; Edoardo Ragusa; Paolo Gastaldo; Erik Cambria (ICASSP, 2023)

Affordance segmentation of hand-occluded containers from exocentric images. - Tommaso Apicella; Alessio Xompero; Edoardo Ragusa; Riccardo Berta; Andrea Cavallaro; Paolo Gastaldo (ICCV (Workshops), 2023)

A hardware-aware neural architecture search algorithm targeting low-end microcontrollers. - Andrea Mattia Garavagno; Edoardo Ragusa; Antonio Frisoli; Paolo Gastaldo (PRIME, 2023)

An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices. - Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Paolo Gastaldo (Neural Comput. Appl., 2023)

Tiny Neural Networks for Session-Level Traffic Classification. - Adel Chehade; Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino (ApplePies, 2024)

Running hardware-aware neural architecture search on embedded devices under 512MB of RAM. - Andrea Mattia Garavagno; Edoardo Ragusa; Antonio Frisoli; Paolo Gastaldo (ICCE, 2024)

Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs. - Edoardo Ragusa; Tommaso Taccioli; Alessio Canepa; Rodolfo Zunino; Paolo Gastaldo (IEEE Access, 2024)

Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics. - Edoardo Ragusa; Federica Zonzini; Paolo Gastaldo; Luca De Marchi (IEEE Trans. Ind. Informatics, 2024)

Compression-Accuracy Co-Optimization Through Hardware-Aware Neural Architecture Search for Vibration Damage Detection. - Edoardo Ragusa; Federica Zonzini; Luca De Marchi; Rodolfo Zunino (IEEE Internet Things J., 2024)

On-Device Neural Architecture Search. - Andrea Mattia Garavagno; Edoardo Ragusa; Paolo Gastaldo; Antonio Frisoli; Claudio Loconsole (ICCE, 2025)

Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems. - Paolo Gastaldo; Edoardo Ragusa; Strahinja Dosen; Francesco Palmieri 002 (Future Gener. Comput. Syst., 2025)

Searching Neural Architectures for Sensor Nodes on IoT Gateways. - Andrea Mattia Garavagno; Edoardo Ragusa; Antonio Frisoli; Paolo Gastaldo (CoRR, 2025)

Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers. - Adel Chehade; Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino (CoRR, 2025)

Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices. - Adel Chehade; Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino (CoRR, 2025)