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)

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)

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)

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)

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 Novel Tactile Sensing System for Robotic Tactile Perception of Object Properties. - Youssef Amin; Christian Gianoglio; Maurizio Valle (AISEM, 2021)

Computationally Light Algorithms for Tactile Sensing Signals Elaboration and Classification. - Youssef Amin; Christian Gianoglio; Maurizio Valle (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)

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

Resource-Constrained Implementation of Deep Learning Algorithms for Dynamic Touch Modality Classification. - Haydar Al Haj Ali; Christian Gianoglio; Ali Ibrahim; Maurizio Valle (SYSINT, 2022)

Towards a Trade-off Between Accuracy and Computational Cost for Embedded Systems: A Tactile Sensing System for Object Classification. - Youssef Amin; Christian Gianoglio; Maurizio Valle (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)

A Convolutional Neural Network-Based Method for Discriminating Shadowed Targets in Frequency-Modulated Continuous-Wave Radar Systems. - Ammar Mohanna; Christian Gianoglio; Ali Rizik; Maurizio Valle (Sensors, 2022)

Opportunistic Rainfall Sensing: State of the Art and Perspectives in Italy. - Filippo Giannetti; Vincenzo Lottici; Fabiola Sapienza; F. Porcú; Giacomo Roversi; P. P. Alberoni; Erika Covi; R. Nebuloni; Greta Cazzaniga; Carlo De Michele; Cristina Deidda; Matteo Colli; et al. (ICASSP Workshops, 2023)

Pilot Study: Response of a Piezoelectric Polymer based Sensing system to Indentation. - Mohamad Yaacoub; Yahya Abbass; Christian Gianoglio; Lucia Seminara; Maurizio Valle (SENSORS, 2023)

A pilot study: electronic skin sensitive to the grasping speed. - Chiara Micheli; Yahya Abbass; Christian Gianoglio; Lucia Seminara (PRIME, 2023)

An Online Training Procedure for Rain Detection Models Applied to Satellite Microwave Links. - Christian Gianoglio; Matteo Colli; Sara Zani; Daniele D. Caviglia (IEEE Geosci. Remote. Sens. Lett., 2023)

Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links. - Christian Gianoglio; Ayham Alyosef; Matteo Colli; Sara Zani; Daniele D. Caviglia (Sensors, 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)

Embedded real-time objects' hardness classification for robotic grippers. - Youssef Amin; Christian Gianoglio; Maurizio Valle (Future Gener. Comput. Syst., 2023)

Data Glove System: Real-Time Resistance Classification with Embedded Machine Learning. - Mohamad Yaacoub; Matthias Vanlaeres; Daniella Shebly; Maurizio Valle; Christian Gianoglio (ApplePies, 2024)

Rainfall Classification in Genoa: Machine Learning Versus Adaptive Statistical Models Using Satellite Microwave Links. - Christian Gianoglio; Sara Zani; Matteo Colli; Daniele D. Caviglia (IEEE Access, 2024)

On the Edge Recurrent Neural Network Approach for Ground Moving FMCW Radar Target Classification. - Christian Gianoglio; Ali Rizik; Emanuele Tavanti; Daniele D. Caviglia; Andrea Randazzo (IEEE Trans. Consumer Electron., 2024)

On Edge Human Action Recognition Using Radar-Based Sensing and Deep Learning. - Christian Gianoglio; Ammar Mohanna; Ali Rizik; Laurence Moroney; Maurizio Valle (IEEE Trans. Ind. Informatics, 2024)

Real-Time Object Recognition Based on Parallel Ultra-Low-Power Microcontroller: A case study on Multisensory Glove. - Riccardo Testa; Mohamad Yaacoub; Christian Gianoglio; Maurizio Valle (ISCAS, 2025)