An innovative, high quality and search window independent motion estimation algorithm and architecture for MPEG-2 encoding. - Fabrizio S. Rovati; Danilo Pau; Emiliano Mario Piccinelli; Luca Pezzoni; Jean-Michel Bard (IEEE Trans. Consumer Electron., 2000)

SIMD Extension to VLIW Multicluster Processors for Embedded Applications. - Domenico Barretta; William Fornaciari; Mariagiovanna Sami; Danilo Pau (ICCD, 2002)

An innovative, programmable architecture for ultra-low power motion estimation in reduced memory MPEG-4 encoder. - Daniele Alfonso; Fabrizio S. Rovati; Danilo Pau; Luca Celetto (IEEE Trans. Consumer Electron., 2002)

A complexity-bounded motion estimation algorithm. - Antonio Chimienti; Claudia Ferraris; Danilo Pau (IEEE Trans. Image Process., 2002)

Spatial-temporal motion estimation for image reconstruction and mouse functionality with optical or capacitive sensors. - Fabrizio S. Rovati; Pieluigi Gardella; Paolo Zambotti; Danilo Pau (IEEE Trans. Consumer Electron., 2003)

Adaptive Frame Rate Up-conversion with Motion Extraction from 3D Space for 3D Pipelines. - Mirko Falchetto; Massimiliano Barone; Danilo Pau (Eurographics Italian Chapter Conference, 2006)

Toward Compressed 3D Descriptors. - Filippo Malaguti; Federico Tombari; Samuele Salti; Danilo Pau; Luigi Di Stefano (3DIMPVT, 2012)

FAST detector on many-core computers. - Bruno Jego; Mathieu Robart; Kaushik Saha; Danilo Pietro Pau (ICCE-Berlin, 2012)

Low complexity SIFT compression techniques. - Filippo Malaguti; Danilo Pau; Luigi Di Stefano (ICCE-Berlin, 2012)

GPU-based Parallel Implementation of a Growing Self-organizing Network. - Giacomo Parigi; Angelo Stramieri; Danilo Pau; Marco Piastra (ICINCO (1), 2012)

Acceleration of SVD routines in LAPACK. - Chaitanya Gunta; Shazeb N. Khan; Kaushik Saha; Danilo Pietro Pau (EUROCON, 2013)

MRI parallel processing for embedded visualization. - Manuel Beniani; Mariagiovanna Sami; Danilo Pietro Pau (ICCE-Berlin, 2013)

Quantitative review of local descriptors for visual search. - Simone Bianco 001; Raimondo Schettini; Davide Mazzini; Danilo Pietro Pau (ICCE-Berlin, 2013)

Mixing retrieval and tracking using compact visual descriptors. - Danilo Pietro Pau; Alex Buzzella; Marco Marcon; Emanuele Plebani (ICCE-Berlin, 2013)

Extended MPEG-4 3DGC for real-time rendering on embedded platforms. - Mathieu Robart; Mauro Plumari; Danilo Pau (ICCE-Berlin, 2013)

An OpenCL-based feature matcher. - Giovanni Condello; Paolo Pasteris; Danilo Pau; Mariagiovanna Sami (Signal Process. Image Commun., 2013)

Effective Reconfigurable Design: The FASTER Approach. - Dionisios N. Pnevmatikatos; Tobias Becker; Andreas Brokalakis; Georgi Nedeltchev Gaydadjiev; Wayne Luk; Kyprianos Papadimitriou; Ioannis Papaefstathiou; Danilo Pau; Oliver Pell; Christian Pilato; Marco D. Santambrogio; Donatella Sciuto; et al. (ARC, 2014)

Adaptive Raytracing Implementation Using Partial Dynamic Reconfiguration. - Gianluca Durelli; Fabrizio Spada; Riccardo Cattaneo; Christian Pilato; Danilo Pau; Marco D. Santambrogio (IPDPS Workshops, 2014)

FPGA-Based Design Using the FASTER Toolchain: The Case of STM Spear Development Board. - Fabrizio Spada; Alberto Scolari; Gianluca C. Durelli; Riccardo Cattaneo; Marco D. Santambrogio; Donatella Sciuto; Dionisios N. Pnevmatikatos; Georgi Gaydadjiev; Oliver Pell; Andreas Brokalakis; Wayne Luk; Dirk Stroobandt; et al. (ISPA, 2014)

RGB-D Visual Search with Compact Binary Codes. - Alioscia Petrelli; Danilo Pau; Emanuele Plebani; Luigi Di Stefano (3DV, 2015)

Analysis of Compact Features for RGB-D Visual Search. - Alioscia Petrelli; Danilo Pau; Luigi Di Stefano (ICIAP (2), 2015)

A Run-Time System for Partially Reconfigurable FPGAs: The case of STMicroelectronics SPEAr board. - George Charitopoulos; Dionisios N. Pnevmatikatos; Marco D. Santambrogio; Kyprianos Papadimitriou; Danilo Pau (PARCO, 2015)

A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks. - Giacomo Parigi; Angelo Stramieri; Danilo Pau; Marco Piastra (CoRR, 2015)

Local detectors and compact descriptors for visual search: A quantitative comparison. - Simone Bianco 001; Davide Mazzini; Danilo Pietro Pau; Raimondo Schettini (Digit. Signal Process., 2015)

FASTER: Facilitating Analysis and Synthesis Technologies for Effective Reconfiguration. - Dionisios N. Pnevmatikatos; Kyprianos Papadimitriou; Tobias Becker; Peter Böhm; Andreas Brokalakis; Karel Bruneel; Catalin Bogdan Ciobanu; Tom Davidson; Georgi Gaydadjiev; Karel Heyse; Wayne Luk; Xinyu Niu; et al. (Microprocess. Microsystems, 2015)

The Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural Network ASIC. - Giuseppe Desoli; Valeria Tomaselli; Emanuele Plebani; Giulio Urlini; Danilo Pau; Viviana D'Alto; Tommaso Majo; Fabio De Ambroggi; Thomas Boesch; Surinder Pal Singh; Elio Guidetti; Nitin Chawla (ACIVS, 2016)

Visual Search of multiple objects from a single query. - Marco Paracchini; Marco Marcon; Emanuele Plebani; Danilo Pietro Pau (ICCE-Berlin, 2016)

Reduced memory region based deep Convolutional Neural Network detection. - Denis Tomè; Luca Bondi; Luca Baroffio; Stefano Tubaro; Emanuele Plebani; Danilo Pau (ICCE-Berlin, 2016)

Accurate omnidirectional multi-camera embedded structure from motion. - Marco Paracchini; Angelo Schepis; Marco Marcon; Mirko Falchetto; Emanuele Plebani; Danilo Pau (RTSI, 2016)

Frame buffer-less stream processor for accurate real-time interest point detection. - Gian Domenico Licciardo; Thomas Boesch; Danilo Pau; Luigi Di Benedetto (Integr., 2016)

Embedded Real-Time Visual Search with Visual Distance Estimation. - Marco Paracchini; Emanuele Plebani; Mehdi Ben Iche; Danilo Pietro Pau; Marco Marcon (ICIAP (2), 2017)

Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks. - Valeria Tomaselli; Emanuele Plebani; Mauro Strano; Danilo Pau (ICIAP (1), 2017)

Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. - Cesare Alippi; Viviana D'Alto; Mirko Falchetto; Danilo Pau; Manuel Roveri (IJCNN, 2017)

Accurate cyber-physical system simulation for distributed visual search applications. - Danilo Martino; Yun Shen; Marco Paracchini; Marco Marcon; Emanuele Plebani; Danilo Pietro Pau (RTSI, 2017)

Intelligent embedded and real-time ANN-based motor control for multi-rotor unmanned aircraft systems. - George Michael; Nectarios Efstathiou; Kyriacos Mantis; Theocharis Theocharides; Danilo Pau (VLSI-SoC, 2017)

Intelligent Cyber-Physical Systems for Industry 4.0. - Dario Cogliati; Mirko Falchetto; Danilo Pau; Manuel Roveri; Gabriele Viscardi (AI4I, 2018)

Low-power Design of a Gravity Rotation Module for HAR Systems Based on Inertial Sensors. - Antonio De Vita; Gian Domenico Licciardo; Luigi Di Benedetto; Danilo Pau; Emanuele Plebani; Angelo Bosco (ASAP, 2018)

COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems. - Andreas Brokalakis; Nikolaos Tampouratzis; Antonios Nikitakis; Ioannis Papaefstathiou; Stamatis Andrianakis; Danilo Pau; Emanuele Plebani; Marco Paracchini; Marco Marcon; Ioannis Sourdis; Prajith Ramakrishnan Geethakumari; Maria Carmen Palacios; et al. (DSD, 2018)

Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices. - Emanuele Torti; Alessandro Fontanella; Mirto Musci; Nicola Blago; Danilo Pau; Francesco Leporati; Marco Piastra (DSD, 2018)

A CNN Architecture for Efficient Semantic Segmentation of Street Scenes. - Davide Mazzini; Marco Buzzelli; Danilo Pietro Pau; Raimondo Schettini (ICCE-Berlin, 2018)

Studying the Effects of Feature Extraction Settings on the Accuracy and Memory Requirements of Neural Networks for Keyword Spotting. - Muhammad Shahnawaz; Emanuele Plebani; Ivana Guaneri; Danilo Pau; Marco Marcon (ICCE-Berlin, 2018)

Efficient light harvesting for accurate neural classification of human activities. - Alessandro Nicosia; Danilo Pau; Davide Giacalone; Emanuele Plebani; Angelo Bosco; Antonio Iacchetti (ICCE, 2018)

Event-driven cooperative-based Internet-of-Things (IoT) system. - Michael Rescati; Marcello De Matteis; Marco Paganoni; Danilo Pau; Raimondo Schettini; Andrea Baschirotto (ICICDT, 2018)

An open-source extendable, highly-accurate and security aware simulator for cloud applications. - Andreas Brokalakis; Nikolaos Tampouratzis; Antonios Nikitakis; Ioannis Papaefstathiou; Stamatis Andrianakis; Apostolos Dollas; Marco Paracchini; Marco Marcon; Danilo Pietro Pau; Emanuele Plebani (ICIN, 2018)

Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC. - Lorenzo Cunial; Ahmet Erdem; Cristina Silvano; Mirko Falchetto; Andrea C. Ornstein; Emanuele Plebani; Giuseppe Desoli; Danilo Pau (RTSI, 2018)

Automated Generation of a Single Shot Detector C Library from High Level Deep Learning Frameworks. - Luca Ranalli; Luigi Di Stefano; Emanuele Plebani; Mirko Falchetto; Danilo Pau; Viviana D'Alto (RTSI, 2018)

Pre-trainable Reservoir Computing with Recursive Neural Gas. - Luca Carcano; Emanuele Plebani; Danilo Pietro Pau; Marco Piastra (CoRR, 2018)

Artificial intelligent sensors at the core of cyber-physical-systems: from theory to practical applications. - Danilo Pau (CF, 2019)

SEMIoTICS Architectural Framework: End-to-end Security, Connectivity and Interoperability for Industrial IoT. - Nikolaos E. Petroulakis; Eftychia Lakka; Ermin Sakic; Vivek Kulkarni; Konstantinos Fysarakis; Iason Somarakis; Jordi Serra; Luis Sanabria-Russo; Danilo Pau; Mirko Falchetto; Domenico Presenza; Tobias Marktscheffel; et al. (GIoTS, 2019)

Intelligent Recognition of TCP Intrusions for Embedded Micro-controllers. - Remi Varenne; Jean Michel Delorme; Emanuele Plebani; Danilo Pau; Valeria Tomaselli (ICIAP Workshops, 2019)

µW Pre-processing Unit for Virtual Sensors Based on Tri-axial Smart Accelerometers. - Antonio De Vita; Gian Domenico Licciardo; Aldo Femia; Luigi Di Benedetto; Danilo Pau (NEWCAS, 2019)

Intelligent Embedded Load Detection at the Edge on Industry 4.0 Powertrains Applications. - Simon Akhtari; Fritz Pickhardt; Danilo Pau; Alessandra Di Pietro; Giusy Tomarchio (RTSI, 2019)

Environmental Intelligence for Embedded Real-time Traffic Sound Classification. - Pietro Montino; Danilo Pau (RTSI, 2019)

HAEMS: Implementation of an Intelligent Event-Driven Edge Mesh IoT Architecture. - Michael Rescati; Emanuela Scapini; Marcello De Matteis; Raimondo Schettini; Danilo Pau; Marco Paganoni; Andrea Baschirotto (RTSI, 2019)

Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection. - Emanuele Torti; Alessandro Fontanella; Mirto Musci; Nicola Blago; Danilo Pau; Francesco Leporati; Marco Piastra (Microprocess. Microsystems, 2019)

Low-Power HWAccelerator for AI Edge-Computing in Human Activity Recognition Systems. - Antonio De Vita; Danilo Pau; Claudio Parrella; Luigi Di Benedetto; Alfredo Rubino; Gian Domenico Licciardo (AICAS, 2020)

Low Power Tiny Binary Neural Network with improved accuracy in Human Recognition Systems. - Antonio De Vita; Danilo Pau; Luigi Di Benedetto; Alfredo Rubino; Frédéric Pétrot; Gian Domenico Licciardo (DSD, 2020)

Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems. - Riccardo Perego; Antonio Candelieri; Francesco Archetti; Danilo Pau (ICANN (2), 2020)

Tiny Neural Networks for Environmental Predictions: An Integrated Approach with Miosix. - Francesco Alongi; Nicolò Ghielmetti; Danilo Pau; Federico Terraneo; William Fornaciari (SMARTCOMP, 2020)

Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers. - Giulia Crocioni; Danilo Pau; Jean Michel Delorme; Giambattista Gruosso (IEEE Access, 2020)

Benchmarking TinyML Systems: Challenges and Direction. - Colby R. Banbury; Vijay Janapa Reddi; Max Lam; William Fu; Amin Fazel; Jeremy Holleman; Xinyuan Huang; Robert Hurtado; David Kanter; Anton Lokhmotov; David A. Patterson 001; Danilo Pau; et al. (CoRR, 2020)

Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-Axial Inertial Sensors. - Antonio De Vita; Gian Domenico Licciardo; Aldo Femia; Luigi Di Benedetto; Alfredo Rubino; Danilo Pau (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition. - Antonio De Vita; Alessandro Russo 006; Danilo Pau; Luigi Di Benedetto; Alfredo Rubino; Gian Domenico Licciardo (IEEE Trans. Circuits Syst., 2020)

Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers. - Piyush Sahoo; Romesh Rajoria; Shivam Chandhok; Sumit Jagdish Darak; Danilo Pietro Pau; Hemdutt Dabral (AIMLSystems, 2021)

Fixed complexity tiny reservoir heterogeneous network for on-line ECG learning of anomalies. - Norhen Abdennadher; Danilo Pau; Arcangelo Bruna (GCCE, 2021)

Intelligent resource constrained battery management on automotive microcontrollers. - Daniele Sammartino; Danilo Pau; Davide Denaro; Luigi Zambrano (GCCE, 2021)

Microcontroller architectures for battery state of charge prediction with tiny neural networks. - Danilo Pau; Davide Denaro; Giambattista Gruosso; Achraf Sahnoun (ICCE-Berlin, 2021)

Online learning on tiny micro-controllers for anomaly detection in water distribution systems. - Danilo Pau; Abderrahim Khiari; Davide Denaro (ICCE-Berlin, 2021)

Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers. - Danilo Pau; Marco Lattuada 001; Francesco Loro; Antonio De Vita; Gian Domenico Licciardo (ICCE, 2021)

Tiny defects identification of mechanical components in die-cast aluminum using artificial neural networks for micro-controllers. - Danilo Pau; Fabio Previdi; Emanuele Rota (ICCE, 2021)

Low-Power Anomaly Detection and Classification System based on a Partially Binarized Autoencoder for In-Sensor Computing. - Paola Vitolo; Gian Domenico Licciardo; Luigi Di Benedetto; Rosalba Liguori; Alfredo Rubino; Danilo Pau (ICECS, 2021)

Tiny Reservoir Computing for Extreme Learning of Motor Control. - Niccolò Federici; Danilo Pau; Nicola Adami; Sergio Benini (IJCNN, 2021)

MLPerf Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Nat Jeffries; Csaba Király 002; Jeremy Holleman; Pietro Montino; David Kanter; Pete Warden; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (NeurIPS Datasets and Benchmarks, 2021)

A QKeras Neural Network Zoo for Deeply Quantized Imaging. - Francesco Loro; Danilo Pau; Valeria Tomaselli (RTSI, 2021)

Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers. - Giulia Crocioni; Giambattista Gruosso; Danilo Pau; Davide Denaro; Luigi Zambrano; Giuseppe di Giore (CoRR, 2021)

MLPerf Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Jeremy Holleman; Nat Jeffries; Csaba Király 002; Pietro Montino; David Kanter; Sebastian Ahmed; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (CoRR, 2021)

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN. - Laura Falaschetti; Lorenzo Manoni; Romel Calero Fuentes Rivera; Danilo Pau; Gianfranco Romanazzi; Oriana Silvestroni; Valeria Tomaselli; Claudio Turchetti (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Highly-accurate binary tiny neural network for low-power human activity recognition. - Antonio De Vita; Danilo Pau; Luigi Di Benedetto; Alfredo Rubino; Frédéric Pétrot; Gian Domenico Licciardo (Microprocess. Microsystems, 2021)

Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS Applications. - Paola Vitolo; Gian Domenico Licciardo; Anna Chiara Amendola; Luigi Di Benedetto; Rosalba Liguori; Alfredo Rubino; Danilo Pau (AICAS, 2022)

Constrained Neural Estimation of Bluetooth Direction of Arrival with Non-Uniform Arrays. - Michele Perrone; Danilo Pietro Pau; Nicolo Ivan Piazzese (ICCE, 2022)

Reduced complexity on micro-controller learning of ECG anomalies. - Danilo Pietro Pau; Norhen Abdennadher (MetroInd4.0& IoT, 2022)

Electric current classification with tiny machine learning for home appliances. - Danilo Pau; Dimbiniaina Marc Randriatsimiovalaza; Davide Denaro (MetroInd4.0& IoT, 2022)

Neural keypoint detection for visual gestures on micro-controllers. - Danilo Pau; Davide Denaro; Marco Lattuada 001; Mahdi Mseddi (MetroXRAINE, 2022)

AutoTinyML for microcontrollers: Dealing with black-box deployability. - Riccardo Perego; Antonio Candelieri; Francesco Archetti; Danilo Pau (Expert Syst. Appl., 2022)

A Deeply Quantized Classifier for Very Low Resolution ToF Imaging. - Danilo Pietro Pau; Welid Ben Yahmed; Jeffrey M. Raynor (ApplePies, 2023)

Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks. - Danilo Pietro Pau; Fabrizio Maria Aymone (COINS, 2023)

Tiny Machine Learning Business Intelligence in the Semiconductor Industry: A Case Study. - Martina Casiroli; Danilo Pietro Pau (GCAIoT, 2023)

Online-Learnt and Deployed MoDem System. - Marco Forleo; Danilo Pietro Pau; Nicolo Ivan Piazzese (GCAIoT, 2023)

Tiny compensation of pressure drift measurements due to long exposures to high temperatures. - Paola Vitolo; Danilo Pau; Gian Domenico Licciardo; Massimiliano Pesaturo; Stefano Bosco; Santo Pennino (I2MTC, 2023)

Phonocardiogram Segmentation with Tiny Computing. - Krzysztof K. Kwiatkowski; Danilo Pietro Pau; Terence S. Leung; Oriana Di Marco (ICCE, 2023)

End to End Optimized Tiny Learning for Repositionable Walls in Maze Topologies. - Danilo Pau; Stefano Colella; Claudio Marchisio (ICCE, 2023)

Coding Mel Spectrogram using Keras and Tensorflow for Home Appliances Tiny Classification. - Danilo Pietro Pau; Tesfaye Amare Naramo; Dimbiniaina Marc Randriatsimiovalaza (ICCE, 2023)

Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. - Ferheen Ayaz; Idris Zakariyya; José Cano 001; Sye Loong Keoh; Jeremy Singer; Danilo Pau; Mounia Kharbouche-Harrari (IJCNN, 2023)

Accurate Classification of Sport Activities Under Tiny Deployability Constraints. - Armin Mazinani; Luca Davoli; Danilo Pietro Pau; Gianluigi Ferrari 001 (IoTaIS, 2023)

Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors. - Gian Domenico Licciardo; Paola Vitolo; Stefano Bosco; Santo Pennino; Danilo Pau; Massimiliano Pesaturo; Luigi Di Benedetto; Rosalba Liguori (ISCAS, 2023)

Mel Power Spectrogram Approximation By Tiny Neural Networks for Home Appliances Classification. - Dimbiniaina Marc Randriatsimiovalaza; Danilo Pietro Pau; Tesfaye Amare Naramo (MetroInd4.0&IoT, 2023)

TinyRCE: Forward Learning Under Tiny Constraints. - Danilo Pau; Prem Kumar Ambrose; Andrea Pisani; Fabrizio Maria Aymone (MetroXRAINE, 2023)

Electromyography Gestures Sensing with Deeply Quantized Neural Networks. - Danilo Pietro Pau; Dimbiniaina Marc Randriatsimiovalaza (MetroXRAINE, 2023)

Modelling the Field Oriented Control applied to a 3-phase Permanent Magnet Synchronous Motor<. - Juan Camilo Nustes; Danilo Pietro Pau; Giambattista Gruosso (Softw. Impacts, 2023)

A New NN-Based Approach to In-Sensor PDM-to-PCM Conversion for Ultra TinyML KWS. - Paola Vitolo; Rosalba Liguori; Luigi Di Benedetto; Alfredo Rubino; Danilo Pau; Gian Domenico Licciardo (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Hardware-Aware Depth Image Classification Model for In-Sensor AI Integration. - Andrea Fasolino; Gian Domenico Licciardo; Paola Vitolo; Rosalba Liguori; Luigi Di Benedetto; Alfredo Rubino; Danilo Pau (ApplePies, 2024)

In-Sensor Self-Calibration Circuit of MEMS Pressure Sensors for Accurate Localization. - Paola Vitolo; Gian Domenico Licciardo; Danilo Pau; Rosalba Liguori; Luigi Di Benedetto; Alfredo Rubino (DSD, 2024)

Benchmarking MLCommons Tiny Audio Denoising with Deployability Constraints. - Armin Mazinani; Danilo Pietro Pau; Luca Davoli; Gianluigi Ferrari 001 (GEM, 2024)

Impact of Interfering Factors on a Glucose Sensor Model. - Anna Sabatini; Costanza Cenerini; Luca Vollero; Danilo Pau (I2MTC, 2024)

A Practical Framework for Designing and Deploying Tiny Deep Neural Networks on Microcontrollers. - Brenda Zhuang; Danilo Pau (ICCE, 2024)

Accurate Energy Measurements for Tiny Machine Learning Workloads. - Pasquale Arpaia; Luigi Capobianco; Francesco Caputo; Antonella Cioffi; Antonio Esposito 002; Francesco Isgrò; Nicola Moccaldi; Danilo Pau; David Siorpaes; Ettore Toscano (MetroXRAINE, 2024)

IMU User Transparent Tiny Neural Self-Calibration. - Matteo Cardoni; Danilo Pietro Pau; Kiarash Rezaei (RTSI, 2024)

Deep Neural Quantization for Speech Detection of Parkinson Disease. - Armin Mazinani; Danilo Pietro Pau; Luca Davoli; Gianluigi Ferrari 001 (RTSI, 2024)

Ultra Tiny Neural Network for Accurate Pressure Sensors Under Multiple Thermal Stresses. - Danilo Pietro Pau; Welid Ben Yahmed; Stefano Bosco; Santo Pennino; Gian Domenico Licciardo; Paola Vitolo (RTSI, 2024)

Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices. - Vinamra Sharma; Danilo Pau; José Cano 001 (RTSI, 2024)

A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices. - Emanuele Giuseppe Siani; Laura Scigliano; Dario Bruneo; Fabrizio De Vita; Valeria Tomaselli; Danilo Pau (SMARTCOMP, 2024)

Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network. - Danilo Pau; Andrea Pisani; Antonio Candelieri (Algorithms, 2024)

A Tiny Deep Learning Model for Sleep Apnea Detection Based on ECG Signals. - Marco Scarpetta; Mattia Alessandro Ragolia; Danilo Pietro Pau; Gregorio Andria; Nicola Giaquinto (MeMeA, 2025)

Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers. - Martin Joel Mouk Elele; Danilo Pau; Shixin Zhuang; Tullio Facchinetti (CoRR, 2025)

Biases in Edge Language Models: Detection, Analysis, and Mitigation. - Vinamra Sharma; Danilo Pietro Pau; José Cano 001 (CoRR, 2025)

Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks. - Idris Zakariyya; Ferheen Ayaz; Mounia Kharbouche-Harrari; Jeremy Singer; Sye Loong Keoh; Danilo Pau; José Cano 001 (CoRR, 2025)