Paolo Gastaldo

Orcid: 0000-0002-5748-3942

According to our database1, Paolo Gastaldo authored at least 101 papers between 2002 and 2025.

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Bibliography

2025
Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems.
Future Gener. Comput. Syst., 2025

2024
Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics.
IEEE Trans. Ind. Informatics, August, 2024

Segmenting Object Affordances: Reproducibility and Sensitivity to Scale.
CoRR, 2024

Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs.
IEEE Access, 2024

Running hardware-aware neural architecture search on embedded devices under 512MB of RAM.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023
Data augmentation for speech separation.
Speech Commun., July, 2023

An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices.
Neural Comput. Appl., March, 2023

Mitigating Cyber Attacks in LoRaWAN via Lightweight Secure Key Management Scheme.
IEEE Access, 2023

A hardware-aware neural architecture search algorithm targeting low-end microcontrollers.
Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

Affordance segmentation of hand-occluded containers from exocentric images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Selecting Language Models Features VIA Software-Hardware Co-Design.
Proceedings of the IEEE International Conference on Acoustics, 2023

Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Alessandro De Gloria, a Pioneer in Electronic Engineering Applications.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022
Enhancing Cyber Security of LoRaWAN Gateways under Adversarial Attacks.
Sensors, 2022

Toward hardware-aware deep-learning-based dialogue systems.
Neural Comput. Appl., 2022

Design and Deployment of an Image Polarity Detector with Visual Attention.
Cogn. Comput., 2022

Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels.
Proceedings of the Advances in System-Integrated Intelligence, 2022

A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Container Localisation and Mass Estimation with an RGB-D Camera.
Proceedings of the IEEE International Conference on Acoustics, 2022

Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

Review of Security Vulnerabilities in LoRaWAN.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

2021
Emotion Recognition on Edge Devices: Training and Deployment.
Sensors, 2021

T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects.
Sensors, 2021

Random-based networks with dropout for embedded systems.
Neural Comput. Appl., 2021

Hardware-Aware Affordance Detection for Application in Portable Embedded Systems.
IEEE Access, 2021

Mixup Augmentation for Generalizable Speech Separation.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

A pose-based hand image classification method retrainable on embedded target devices.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

An Affordance Detection Pipeline for Resource-Constrained Devices.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021

Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices.
Neural Process. Lett., 2020

Balancing computational complexity and generalization ability: A novel design for ELM.
Neurocomputing, 2020

Image Polarity Detection on Resource-Constrained Devices.
IEEE Intell. Syst., 2020

An hardware-aware image polarity detector enhanced with visual attention.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

COAL: Convolutional Online Adaptation Learning for Opinion Mining.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Video Grasping Classification Enhanced with Automatic Annotations.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2020

Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Active Haptic Perception in Robots: A Review.
Frontiers Neurorobotics, 2019

Cognitive Insights into Sentic Spaces Using Principal Paths.
Cogn. Comput., 2019

Learning with Similarity Functions: a Tensor-Based Framework.
Cogn. Comput., 2019

An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Fast Transfer Learning for Image Polarity Detection.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Data-Driven Video Grasping Classification for Low-Power Embedded System.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2019

2018
A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Bayesian network based extreme learning machine for subjectivity detection.
J. Frankl. Inst., 2018

2017
Real-Time Digital Signal Processing Based on FPGAs for Electronic Skin Implementation.
Sensors, 2017

Learning with similarity functions: A novel design for the extreme learning machine.
Neurocomputing, 2017

2016
Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

SIM-ELM: Connecting the ELM model with similarity-function learning.
Neural Networks, 2016

Inductive bias for semi-supervised extreme learning machine.
Neurocomputing, 2016

2015
A tensor-based approach to touch modality classification by using machine learning.
Robotics Auton. Syst., 2015

An ELM-based model for affective analogical reasoning.
Neurocomputing, 2015

A learning scheme based on similarity functions for affective common-sense reasoning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Computational Intelligence Techniques for Tactile Sensing Systems.
Sensors, 2014

Semi-supervised machine learning approach for unknown malicious software detection.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

A high-linearity design for rail-to-rail fully differential current conveyors.
Proceedings of the 21st IEEE International Conference on Electronics, Circuits and Systems, 2014

A machine learning approach for Twitter spammers detection.
Proceedings of the International Carnahan Conference on Security Technology, 2014

Machine Learning-Based System for Detecting Unseen Malicious Software.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2014

2013
Circular-ELM for the reduced-reference assessment of perceived image quality.
Neurocomputing, 2013

Extreme Learning Machines.
IEEE Intell. Syst., 2013

Supporting visual quality assessment with machine learning.
EURASIP J. Image Video Process., 2013

Embedded implementation of Edwards curve- and extended Jacobi quartic curve-based cryptosystems.
Proceedings of the 8th International Conference for Internet Technology and Secured Transactions, 2013

Data intensive review mining for sentiment classification across heterogeneous domains.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Efficient Digital Implementation of Extreme Learning Machines for Classification.
IEEE Trans. Circuits Syst. II Express Briefs, 2012

2011
Tactile-Data Classification of Contact Materials Using Computational Intelligence.
IEEE Trans. Robotics, 2011

Efficient approximate Regularized Least Squares by Toeplitz matrix.
Pattern Recognit. Lett., 2011

Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications.
Intell. Data Anal., 2011

Semantic Oriented Clustering of Documents.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Computational intelligence methods for underwater magnetic-based protection systems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Using unsupervised analysis to constrain generalization bounds for support vector classifiers.
IEEE Trans. Neural Networks, 2010

Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality.
IEEE Trans. Circuits Syst. Video Technol., 2010

SeaLab Advanced Information Retrieval.
Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

2009
Neural projection techniques for the visual inspection of network traffic.
Neurocomputing, 2009

Maximal-discrepancy bounds for regularized classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2009

Circuit implementation of SVM training.
Proceedings of the International Joint Conference on Neural Networks, 2009

How to apply spatial saliency into objective metrics for JPEG compressed images?
Proceedings of the International Conference on Image Processing, 2009

Hybrid Neural Systems for Reduced-Reference Image Quality Assessment.
Proceedings of the Artificial Neural Networks, 2009

A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection.
Proceedings of the Computational Intelligence in Security for Information Systems, 2009

2008
Enhanced Montgomery Multiplication on DSP Architectures for Embedded Public-Key Cryptosystems.
EURASIP J. Embed. Syst., 2008

Co-occurrence Matrixes for the Quality Assessment of Coded Images.
Proceedings of the Artificial Neural Networks, 2008

Non-stationary Data Mining: The Network Security Issue.
Proceedings of the Artificial Neural Networks, 2008

Hypermetric k-Means Clustering for Content-Based Document Management.
Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems, 2008

2007
Efficient Implementation of SVM Training on Embedded Electronic Systems.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

IDS Based on Bio-inspired Models.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems.
Proceedings of the Computational and Ambient Intelligence, 2007

Intrusion Detection at Packet Level by Unsupervised Architectures.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

No-Reference Quality Assessment of JPEG Images by Using CBP Neural Networks.
Proceedings of the Artificial Neural Networks, 2007

2006
Prospects of quantum-classical optimization for digital design.
Appl. Math. Comput., 2006

Embedded Electronics Systems for Training Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Objective quality assessment of displayed images by using neural networks.
Signal Process. Image Commun., 2005

Neural networks for the no-reference assessment of perceived quality.
J. Electronic Imaging, 2005

2004
No-reference quality assessment of JPEG images by using CBP neural networks.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

2002
Objective quality assessment of MPEG-2 video streams by using CBP neural networks.
IEEE Trans. Neural Networks, 2002

Objective assessment of MPEG-2 video quality.
J. Electronic Imaging, 2002

Hausdorff distance for target detection.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Image quality assessment by using neural networks.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Circular Back-Propagation Networks for Measuring Displayed Image Quality.
Proceedings of the Artificial Neural Networks, 2002


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