Danilo Pietro Pau

35 papers C 3Misc 1Journal 8Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Tiny Deep Learning Model for Sleep Apnea Detection Based on ECG Signals. MeMeA Marco Scarpetta, Mattia Alessandro Ragolia, Danilo Pietro Pau, Gregorio Andria, Nicola Giaquinto
2025	J	`jnl`	Air Quality Prediction via Embedded ML/DL and Quantized Models. IEEE Access Armin Mazinani, Daniele Antonucci, Danilo Pietro Pau, Luca Davoli, Gianluigi Ferrari
2025	J	`jnl`	Biases in Edge Language Models: Detection, Analysis, and Mitigation. CoRR Vinamra Sharma, Danilo Pietro Pau, José Cano
2025	J	`jnl`	Robust Watermarking of Tiny Neural Networks by Fine-Tuning and Post-Training Approaches. Symmetry Riccardo Adorante, Alessandro Carra, Marco Lattuada, Danilo Pietro Pau
2025	J	`jnl`	Transitioning from TinyML to Edge GenAI: A Review. Big Data Cogn. Comput. Gloria Giorgetti, Danilo Pietro Pau
2024	J	`jnl`	Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite. Inf. Fabrizio Maria Aymone, Danilo Pietro Pau
2024	—	`conf`	Benchmarking MLCommons Tiny Audio Denoising with Deployability Constraints. GEM Armin Mazinani, Danilo Pietro Pau, Luca Davoli, Gianluigi Ferrari
2024	—	`conf`	Deep Neural Quantization for Speech Detection of Parkinson Disease. RTSI Armin Mazinani, Danilo Pietro Pau, Luca Davoli, Gianluigi Ferrari
2024	—	`conf`	IMU User Transparent Tiny Neural Self-Calibration. RTSI Matteo Cardoni, Danilo Pietro Pau, Kiarash Rezaei
2024	—	`conf`	Ultra Tiny Neural Network for Accurate Pressure Sensors Under Multiple Thermal Stresses. RTSI Danilo Pietro Pau, Welid Ben Yahmed, Stefano Bosco, Santo Pennino, Gian Domenico Licciardo, Paola Vitolo
2023	—	`conf`	A Deeply Quantized Classifier for Very Low Resolution ToF Imaging. ApplePies Danilo Pietro Pau, Welid Ben Yahmed, Jeffrey M. Raynor
2023	—	`conf`	Accurate Classification of Sport Activities Under Tiny Deployability Constraints. IoTaIS Armin Mazinani, Luca Davoli, Danilo Pietro Pau, Gianluigi Ferrari
2023	C	`conf`	Coding Mel Spectrogram using Keras and Tensorflow for Home Appliances Tiny Classification. ICCE Danilo Pietro Pau, Tesfaye Amare Naramo, Dimbiniaina Marc Randriatsimiovalaza
2023	—	`conf`	Electromyography Gestures Sensing with Deeply Quantized Neural Networks. MetroXRAINE Danilo Pietro Pau, Dimbiniaina Marc Randriatsimiovalaza
2023	—	`conf`	Mel Power Spectrogram Approximation By Tiny Neural Networks for Home Appliances Classification. MetroInd4.0&IoT Dimbiniaina Marc Randriatsimiovalaza, Danilo Pietro Pau, Tesfaye Amare Naramo
2023	J	`jnl`	Modelling the Field Oriented Control applied to a 3-phase Permanent Magnet Synchronous Motor<. Softw. Impacts Juan Camilo Nustes, Danilo Pietro Pau, Giambattista Gruosso
2023	—	`conf`	Online-Learnt and Deployed MoDem System. GCAIoT Marco Forleo, Danilo Pietro Pau, Nicolo Ivan Piazzese
2023	C	`conf`	Phonocardiogram Segmentation with Tiny Computing. ICCE Krzysztof K. Kwiatkowski, Danilo Pietro Pau, Terence S. Leung, Oriana Di Marco
2023	—	`conf`	Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks. COINS Danilo Pietro Pau, Fabrizio Maria Aymone
2023	—	`conf`	Tiny Machine Learning Business Intelligence in the Semiconductor Industry: A Case Study. GCAIoT Martina Casiroli, Danilo Pietro Pau
2022	C	`conf`	Constrained Neural Estimation of Bluetooth Direction of Arrival with Non-Uniform Arrays. ICCE Michele Perrone, Danilo Pietro Pau, Nicolo Ivan Piazzese
2022	—	`conf`	Reduced complexity on micro-controller learning of ECG anomalies. MetroInd4.0& IoT Danilo Pietro Pau, Norhen Abdennadher
2021	—	`conf`	Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers. AIMLSystems Piyush Sahoo, Romesh Rajoria, Shivam Chandhok, Sumit Jagdish Darak, Danilo Pietro Pau, Hemdutt Dabral
2018	—	`conf`	A CNN Architecture for Efficient Semantic Segmentation of Street Scenes. ICCE-Berlin Davide Mazzini, Marco Buzzelli, Danilo Pietro Pau, Raimondo Schettini
2018	Misc	`conf`	An open-source extendable, highly-accurate and security aware simulator for cloud applications. ICIN Andreas Brokalakis, Nikolaos Tampouratzis, Antonios Nikitakis, Ioannis Papaefstathiou, Stamatis Andrianakis, Apostolos Dollas, Marco Paracchini, Marco Marcon, Danilo Pietro Pau, Emanuele Plebani
2018	J	`jnl`	Pre-trainable Reservoir Computing with Recursive Neural Gas. CoRR Luca Carcano, Emanuele Plebani, Danilo Pietro Pau, Marco Piastra
2017	—	`conf`	Accurate cyber-physical system simulation for distributed visual search applications. RTSI Danilo Martino, Yun Shen, Marco Paracchini, Marco Marcon, Emanuele Plebani, Danilo Pietro Pau
2017	—	`conf`	Embedded Real-Time Visual Search with Visual Distance Estimation. ICIAP (2) Marco Paracchini, Emanuele Plebani, Mehdi Ben Iche, Danilo Pietro Pau, Marco Marcon
2016	—	`conf`	Visual Search of multiple objects from a single query. ICCE-Berlin Marco Paracchini, Marco Marcon, Emanuele Plebani, Danilo Pietro Pau
2015	J	`jnl`	Local detectors and compact descriptors for visual search: A quantitative comparison. Digit. Signal Process. Simone Bianco, Davide Mazzini, Danilo Pietro Pau, Raimondo Schettini
2013	—	`conf`	Acceleration of SVD routines in LAPACK. EUROCON Chaitanya Gunta, Shazeb N. Khan, Kaushik Saha, Danilo Pietro Pau
2013	—	`conf`	MRI parallel processing for embedded visualization. ICCE-Berlin Manuel Beniani, Mariagiovanna Sami, Danilo Pietro Pau
2013	—	`conf`	Mixing retrieval and tracking using compact visual descriptors. ICCE-Berlin Danilo Pietro Pau, Alex Buzzella, Marco Marcon, Emanuele Plebani
2013	—	`conf`	Quantitative review of local descriptors for visual search. ICCE-Berlin Simone Bianco, Raimondo Schettini, Davide Mazzini, Danilo Pietro Pau
2012	—	`conf`	FAST detector on many-core computers. ICCE-Berlin Bruno Jego, Mathieu Robart, Kaushik Saha, Danilo Pietro Pau