Danilo Pau

Orcid: 0000-0003-1585-2313

According to our database1, Danilo Pau authored at least 110 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network.
Algorithms, 2024

A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices.
Proceedings of the IEEE International Conference on Smart Computing, 2024

Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Ultra Tiny Neural Network for Accurate Pressure Sensors Under Multiple Thermal Stresses.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Deep Neural Quantization for Speech Detection of Parkinson Disease.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

IMU User Transparent Tiny Neural Self-Calibration.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

A Practical Framework for Designing and Deploying Tiny Deep Neural Networks on Microcontrollers.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Impact of Interfering Factors on a Glucose Sensor Model.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Benchmarking MLCommons Tiny Audio Denoising with Deployability Constraints.
Proceedings of the IEEE Gaming, Entertainment, and Media Conference, 2024

In-Sensor Self-Calibration Circuit of MEMS Pressure Sensors for Accurate Localization.
Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

2023
A New NN-Based Approach to In-Sensor PDM-to-PCM Conversion for Ultra TinyML KWS.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

Modelling the Field Oriented Control applied to a 3-phase Permanent Magnet Synchronous Motor<.
Softw. Impacts, March, 2023

Electromyography Gestures Sensing with Deeply Quantized Neural Networks.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

TinyRCE: Forward Learning Under Tiny Constraints.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Mel Power Spectrogram Approximation By Tiny Neural Networks for Home Appliances Classification.
Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2023

Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Accurate Classification of Sport Activities Under Tiny Deployability Constraints.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Coding Mel Spectrogram using Keras and Tensorflow for Home Appliances Tiny Classification.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

End to End Optimized Tiny Learning for Repositionable Walls in Maze Topologies.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Phonocardiogram Segmentation with Tiny Computing.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Tiny compensation of pressure drift measurements due to long exposures to high temperatures.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Online-Learnt and Deployed MoDem System.
Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2023

Tiny Machine Learning Business Intelligence in the Semiconductor Industry: A Case Study.
Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2023

Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

A Deeply Quantized Classifier for Very Low Resolution ToF Imaging.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022
AutoTinyML for microcontrollers: Dealing with black-box deployability.
Expert Syst. Appl., 2022

Neural keypoint detection for visual gestures on micro-controllers.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Electric current classification with tiny machine learning for home appliances.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022

Reduced complexity on micro-controller learning of ECG anomalies.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022

Constrained Neural Estimation of Bluetooth Direction of Arrival with Non-Uniform Arrays.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022

Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS Applications.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Highly-accurate binary tiny neural network for low-power human activity recognition.
Microprocess. Microsystems, November, 2021

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

MLPerf Tiny Benchmark.
CoRR, 2021

Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers.
CoRR, 2021

A QKeras Neural Network Zoo for Deeply Quantized Imaging.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021


Tiny Reservoir Computing for Extreme Learning of Motor Control.
Proceedings of the International Joint Conference on Neural Networks, 2021

Low-Power Anomaly Detection and Classification System based on a Partially Binarized Autoencoder for In-Sensor Computing.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

Tiny defects identification of mechanical components in die-cast aluminum using artificial neural networks for micro-controllers.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021

Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021

Online learning on tiny micro-controllers for anomaly detection in water distribution systems.
Proceedings of the 11th IEEE International Conference on Consumer Electronics, 2021

Microcontroller architectures for battery state of charge prediction with tiny neural networks.
Proceedings of the 11th IEEE International Conference on Consumer Electronics, 2021

Intelligent resource constrained battery management on automotive microcontrollers.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

Fixed complexity tiny reservoir heterogeneous network for on-line ECG learning of anomalies.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers.
Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020
A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition.
IEEE Trans. Circuits Syst., 2020

Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-Axial Inertial Sensors.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Benchmarking TinyML Systems: Challenges and Direction.
CoRR, 2020

Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers.
IEEE Access, 2020

Tiny Neural Networks for Environmental Predictions: An Integrated Approach with Miosix.
Proceedings of the IEEE International Conference on Smart Computing, 2020

Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Low Power Tiny Binary Neural Network with improved accuracy in Human Recognition Systems.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

Low-Power HWAccelerator for AI Edge-Computing in Human Activity Recognition Systems.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection.
Microprocess. Microsystems, 2019

HAEMS: Implementation of an Intelligent Event-Driven Edge Mesh IoT Architecture.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

Environmental Intelligence for Embedded Real-time Traffic Sound Classification.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

Intelligent Embedded Load Detection at the Edge on Industry 4.0 Powertrains Applications.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

µW Pre-processing Unit for Virtual Sensors Based on Tri-axial Smart Accelerometers.
Proceedings of the 17th IEEE International New Circuits and Systems Conference, 2019

Intelligent Recognition of TCP Intrusions for Embedded Micro-controllers.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

SEMIoTICS Architectural Framework: End-to-end Security, Connectivity and Interoperability for Industrial IoT.
Proceedings of the 2019 Global IoT Summit, 2019

Artificial intelligent sensors at the core of cyber-physical-systems: from theory to practical applications.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
Pre-trainable Reservoir Computing with Recursive Neural Gas.
CoRR, 2018

Automated Generation of a Single Shot Detector C Library from High Level Deep Learning Frameworks.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

An open-source extendable, highly-accurate and security aware simulator for cloud applications.
Proceedings of the 21st Conference on Innovation in Clouds, 2018

Event-driven cooperative-based Internet-of-Things (IoT) system.
Proceedings of the 2018 International Conference on IC Design & Technology, 2018

Efficient light harvesting for accurate neural classification of human activities.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Studying the Effects of Feature Extraction Settings on the Accuracy and Memory Requirements of Neural Networks for Keyword Spotting.
Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018

A CNN Architecture for Efficient Semantic Segmentation of Street Scenes.
Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018

Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices.
Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems.
Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

Low-power Design of a Gravity Rotation Module for HAR Systems Based on Inertial Sensors.
Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018

Intelligent Cyber-Physical Systems for Industry 4.0.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
Intelligent embedded and real-time ANN-based motor control for multi-rotor unmanned aircraft systems.
Proceedings of the 2017 IFIP/IEEE International Conference on Very Large Scale Integration, 2017

Accurate cyber-physical system simulation for distributed visual search applications.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Embedded Real-Time Visual Search with Visual Distance Estimation.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2016
Frame buffer-less stream processor for accurate real-time interest point detection.
Integr., 2016

Accurate omnidirectional multi-camera embedded structure from motion.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Reduced memory region based deep Convolutional Neural Network detection.
Proceedings of the IEEE 6th International Conference on Consumer Electronics - Berlin, 2016

Visual Search of multiple objects from a single query.
Proceedings of the IEEE 6th International Conference on Consumer Electronics - Berlin, 2016

The Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural Network ASIC.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

2015
FASTER: Facilitating Analysis and Synthesis Technologies for Effective Reconfiguration.
Microprocess. Microsystems, 2015

Local detectors and compact descriptors for visual search: A quantitative comparison.
Digit. Signal Process., 2015

A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks.
CoRR, 2015

A Run-Time System for Partially Reconfigurable FPGAs: The case of STMicroelectronics SPEAr board.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015

Analysis of Compact Features for RGB-D Visual Search.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

RGB-D Visual Search with Compact Binary Codes.
Proceedings of the 2015 International Conference on 3D Vision, 2015

2014
FPGA-Based Design Using the FASTER Toolchain: The Case of STM Spear Development Board.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2014

Adaptive Raytracing Implementation Using Partial Dynamic Reconfiguration.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Effective Reconfigurable Design: The FASTER Approach.
Proceedings of the Reconfigurable Computing: Architectures, Tools, and Applications, 2014

2013
An OpenCL-based feature matcher.
Signal Process. Image Commun., 2013

Extended MPEG-4 3DGC for real-time rendering on embedded platforms.
Proceedings of the IEEE Third International Conference on Consumer Electronics, 2013

Mixing retrieval and tracking using compact visual descriptors.
Proceedings of the IEEE Third International Conference on Consumer Electronics, 2013

Quantitative review of local descriptors for visual search.
Proceedings of the IEEE Third International Conference on Consumer Electronics, 2013

MRI parallel processing for embedded visualization.
Proceedings of the IEEE Third International Conference on Consumer Electronics, 2013

Acceleration of SVD routines in LAPACK.
Proceedings of Eurocon 2013, 2013

2012
GPU-based Parallel Implementation of a Growing Self-organizing Network.
Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Rome, Italy, 28, 2012

Low complexity SIFT compression techniques.
Proceedings of the IEEE Second International Conference on Consumer Electronics - Berlin, 2012

FAST detector on many-core computers.
Proceedings of the IEEE Second International Conference on Consumer Electronics - Berlin, 2012

Toward Compressed 3D Descriptors.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2006
Adaptive Frame Rate Up-conversion with Motion Extraction from 3D Space for 3D Pipelines.
Proceedings of the Fourth Eurographics Italian Chapter Conference 2006, 2006

2003
Spatial-temporal motion estimation for image reconstruction and mouse functionality with optical or capacitive sensors.
IEEE Trans. Consumer Electron., 2003

2002
A complexity-bounded motion estimation algorithm.
IEEE Trans. Image Process., 2002

An innovative, programmable architecture for ultra-low power motion estimation in reduced memory MPEG-4 encoder.
IEEE Trans. Consumer Electron., 2002

SIMD Extension to VLIW Multicluster Processors for Embedded Applications.
Proceedings of the 20th International Conference on Computer Design (ICCD 2002), 2002

2000
An innovative, high quality and search window independent motion estimation algorithm and architecture for MPEG-2 encoding.
IEEE Trans. Consumer Electron., 2000


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