Francesco Piccialli

Orcid: 0000-0002-5179-2496

Affiliations:
  • University of Naples Federico II, Italy


According to our database1, Francesco Piccialli authored at least 178 papers between 2011 and 2025.

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Bibliography

2025
Small models, big impact: A review on the power of lightweight Federated Learning.
Future Gener. Comput. Syst., 2025

Guest Editorial for the Special Issue on Federated Learning on the Edge: Challenges and Future Directions.
Future Gener. Comput. Syst., 2025

2024
Guest Editorial: Special Issue on Physics-Informed Machine Learning.
IEEE Trans. Artif. Intell., March, 2024

A machine learning approach for IoT cultural data.
J. Ambient Intell. Humaniz. Comput., February, 2024

Predictive maintenance for offshore oil wells by means of deep learning features extraction.
Expert Syst. J. Knowl. Eng., February, 2024

Preface.
Comput. Math. Appl., February, 2024

Model aggregation techniques in federated learning: A comprehensive survey.
Future Gener. Comput. Syst., January, 2024

Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy.
Math. Comput. Simul., 2024

Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems.
J. Netw. Comput. Appl., 2024

GRAPHITE - Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency.
Inf. Fusion, 2024

Green Federated Learning: A new era of Green Aware AI.
CoRR, 2024

Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection.
Comput. Commun., 2024

KAFÈ: Kernel Aggregation for FEderated.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

FLOWS: Federated Learning Optimization With Sinkhorn.
Proceedings of the IEEE Symposium on Computers and Communications, 2024

SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

2023
The Impact of Adversarial Attacks on Interpretable Semantic Segmentation in Cyber-Physical Systems.
IEEE Syst. J., December, 2023

ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting.
Inf. Fusion, December, 2023

FL-FD: Federated learning-based fall detection with multimodal data fusion.
Inf. Fusion, November, 2023

DeepVATS: Deep Visual Analytics for Time Series.
Knowl. Based Syst., October, 2023

A Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network.
IEEE Trans. Intell. Transp. Syst., August, 2023

Special issue on deep learning and big data analytics for medical e-diagnosis/AI-based e-diagnosis.
Neural Comput. Appl., August, 2023

A blockchain-based secure Internet of medical things framework for stress detection.
Inf. Sci., May, 2023

An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems.
IEEE Trans. Ind. Informatics, April, 2023

Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications.
IEEE Trans. Ind. Informatics, 2023

Automated Pulmonary Nodule Classification and Detection Using Deep Learning Architectures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Modelling the COVID-19 infection rate through a Physics-Informed learning approach.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture.
Proceedings of the IEEE International Conference on Web Services, 2023

Integrating Object Detection and Advanced Analytics for Smart City Crowd Management.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

Ablation Studies in Activation Maps for Explainable Semantic Segmentation in Industry 4.0.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment.
Proceedings of the IEEE Intl Conf on Dependable, 2023

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Unsupervised Learning for Depth Estimation in Unstructured Environments.
Proceedings of the IEEE International Conference on Big Data, 2023

Unveiling engagement in virtual classrooms: a multimodal analysis.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
fgSpMSpV: A Fine-grained Parallel SpMSpV Framework on HPC Platforms.
ACM Trans. Parallel Comput., 2022

M-T2F: A High-Efficient Contention Protocol for Wireless Networking in Cyber-Physical-Social Systems.
IEEE Trans. Netw. Sci. Eng., 2022

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.
IEEE Trans. Intell. Transp. Syst., 2022

Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning.
IEEE J. Biomed. Health Informatics, 2022

From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where.
IEEE Trans. Ind. Informatics, 2022

SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Memory-augmented neural networks based dynamic complex image segmentation in digital twins for self-driving vehicle.
Pattern Recognit., 2022

Deep learning-based ambient assisted living for self-management of cardiovascular conditions.
Neural Comput. Appl., 2022

Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next.
J. Sci. Comput., 2022

An improved Nyström spectral graph clustering using <i>k</i>-core decomposition as a sampling strategy for large networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction.
J. King Saud Univ. Comput. Inf. Sci., 2022

Neural networks generative models for time series.
J. King Saud Univ. Comput. Inf. Sci., 2022

Deep Learning for Secure Communication in Cyber-Physical Systems.
IEEE Internet Things Mag., 2022

Neurocomputing for internet of things: Object recognition and detection strategy.
Neurocomputing, 2022

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles.
J. Grid Comput., 2022

An unsupervised learning framework for marketneutral portfolio.
Expert Syst. Appl., 2022

A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN).
CoRR, 2022

A physics-informed learning approach to Bernoulli-type free boundary problems.
Comput. Math. Appl., 2022

Numerical modeling of the propagation process of landslide surge using physics-informed deep learning.
Adv. Model. Simul. Eng. Sci., 2022

A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

A machine learning-based approach for mercury detection in marine waters.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Cut the peaches: image segmentation for utility pattern mining in food processing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

The BIOCHIP project: A Deep Learning approach for multiwell segmentation.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data.
ACM Trans. Internet Techn., 2021

Introduction to the Special Section on Data Science for Cyber-Physical Systems.
ACM Trans. Internet Techn., 2021

The Security of Medical Data on Internet Based on Differential Privacy Technology.
ACM Trans. Internet Techn., 2021

Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects.
IEEE Trans. Intell. Transp. Syst., 2021

An Enhanced Multi-Hop Intersection-Based Geographical Routing Protocol for the Internet of Connected Vehicles Network.
IEEE Trans. Intell. Transp. Syst., 2021

Guest Editorial: Industrial Internet of Things: Where Are We and What Is Next?
IEEE Trans. Ind. Informatics, 2021

Lucy With Agents in the Sky: Trustworthiness of Cloud Storage for Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2021

Advanced Machine-Learning Methods for Brain-Computer Interfacing.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Nature-inspired algorithm-based secure data dissemination framework for smart city networks.
Neural Comput. Appl., 2021

Machine learning for landslides prevention: a survey.
Neural Comput. Appl., 2021

The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.
Inf. Syst. Frontiers, 2021

A Deep-Learning-Based Smart Healthcare System for Patient's Discomfort Detection at the Edge of Internet of Things.
IEEE Internet Things J., 2021

Context-aware Computing for the Internet of Things.
Internet Things, 2021

A survey on deep learning in medicine: Why, how and when?
Inf. Fusion, 2021

Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion.
Inf. Fusion, 2021

A robust ensemble technique in forecasting workload of local healthcare departments.
Neurocomputing, 2021

Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning.
IEEE CAA J. Autom. Sinica, 2021

Optimizing makespan and resource utilization for multi-DNN training in GPU cluster.
Future Gener. Comput. Syst., 2021

Deep Learning for the Approximation of a Shape Functional.
CoRR, 2021

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving.
CoRR, 2021

Special issue on toward the Internet of Things of year 2020: Applications and future trends.
Concurr. Comput. Pract. Exp., 2021

Anomaly detection and trust authority in artificial intelligence and cloud computing.
Comput. Networks, 2021

An efficient combined deep neural network based malware detection framework in 5G environment.
Comput. Networks, 2021

An efficient graph clustering algorithm by exploiting <i>k</i>-core decomposition and motifs.
Comput. Electr. Eng., 2021

General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention.
Big Data, 2021

A Framework for Pandemic Prediction Using Big Data Analytics.
Big Data Res., 2021

IEEE Access Special Section Editorial: Data Mining for Internet of Things.
IEEE Access, 2021

Explainable Deep Learning Models on the Diagnosis of Pneumonia.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021

2020
A Sustainable Solution to Support Data Security in High Bandwidth Healthcare Remote Locations by Using TCP CUBIC Mechanism.
IEEE Trans. Sustain. Comput., 2020

Guest Editorial: Data Science Challenges in Industry 4.0.
IEEE Trans. Ind. Informatics, 2020

Exploring Unsupervised Learning Techniques for the Internet of Things.
IEEE Trans. Ind. Informatics, 2020

ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets.
Soft Comput., 2020

An IoT data analytics approach for cultural heritage.
Pers. Ubiquitous Comput., 2020

A Deep Learning approach for Path Prediction in a Location-based IoT system.
Pervasive Mob. Comput., 2020

Energy-Efficient Monitoring of Fire Scenes for Intelligent Networks.
IEEE Netw., 2020

Lessons learned from longitudinal modeling of mobile-equipped visitors in a complex museum.
Neural Comput. Appl., 2020

Unsupervised learning on multimedia data: a Cultural Heritage case study.
Multim. Tools Appl., 2020

Deep end-to-end learning for price prediction of second-hand items.
Knowl. Inf. Syst., 2020

RBF methods in a Stochastic Volatility framework for Greeks computation.
J. Comput. Appl. Math., 2020

An accurate and dynamic predictive model for a smart M-Health system using machine learning.
Inf. Sci., 2020

Data Science for the Internet of Things.
IEEE Internet Things J., 2020

Exploring Deep Learning Models for Overhead View Multiple Object Detection.
IEEE Internet Things J., 2020

A blockchain-based eHealthcare system interoperating with WBANs.
Future Gener. Comput. Syst., 2020

Path prediction in IoT systems through Markov Chain algorithm.
Future Gener. Comput. Syst., 2020

Pricing estimation of a barrier option in an IoT scenario.
Future Gener. Comput. Syst., 2020

A computational method for the European option price in an Internet of Things framework.
Future Gener. Comput. Syst., 2020

Internet of Knowledge.
Future Gener. Comput. Syst., 2020

Decision Making in IoT Environment through Unsupervised Learning.
IEEE Intell. Syst., 2020

Trust management and evaluation for edge intelligence in the Internet of Things.
Eng. Appl. Artif. Intell., 2020

Julia language in machine learning: Algorithms, applications, and open issues.
Comput. Sci. Rev., 2020

KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs.
CoRR, 2020

Corrigendum to "Link quality and energy utilization based preferable next hop selection routing for wireless body area networks" [Comput. Commun. 149 (2020) 382-392].
Comput. Commun., 2020

Link quality and energy utilization based preferable next hop selection routing for wireless body area networks.
Comput. Commun., 2020

IEEE Access Special Section Editorial: Cloud-Fog-Edge Computing in Cyber-Physical-Social Systems (CPSS).
IEEE Access, 2020

2019
Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments.
IEEE Trans. Ind. Informatics, 2019

SOS: A multimedia recommender System for Online Social networks.
Future Gener. Comput. Syst., 2019

IEEE Access Special Section Editorial: Intelligent Systems for the Internet of Things.
IEEE Access, 2019

Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Generating Pedestrian Training Dataset using DCGAN.
Proceedings of the ICAIP 2019: 3rd International Conference on Advances in Image Processing, 2019

Marker Based Pedestrian Detection Using Augmented Reality.
Proceedings of the ICAIP 2019: 3rd International Conference on Advances in Image Processing, 2019

2018
Towards the Internet of Data: Applications, Opportunities and Future Challenges.
J. Parallel Distributed Comput., 2018

Implications of deep learning for the automation of design patterns organization.
J. Parallel Distributed Comput., 2018

Reproducing dynamics related to an Internet of Things framework: A numerical and statistical approach.
J. Parallel Distributed Comput., 2018

An inverse Bayesian scheme for the denoising of ECG signals.
J. Netw. Comput. Appl., 2018

A Robust Features-Based Person Tracker for Overhead Views in Industrial Environment.
IEEE Internet Things J., 2018

Parallel Approaches for Data Mining in the Internet of Things Realm.
Int. J. Parallel Program., 2018

A GPU Implementation of OLPCA Method in Hybrid Environment.
Int. J. Parallel Program., 2018

A Framework for Assessing Reusability Using Package Cohesion Measure in Aspect Oriented Systems.
Int. J. Parallel Program., 2018

A (multi) GPU iterative reconstruction algorithm based on Hessian penalty term for sparse MRI.
Int. J. Grid Util. Comput., 2018

A perspective on applications of in-memory and associative approaches supporting cultural big data analytics.
Int. J. Comput. Sci. Eng., 2018

Self and social network behaviours of users in cultural spaces.
Int. J. Comput. Sci. Eng., 2018

Editorial for FGCS special issue: The Internet of Cultural Things: Towards a Smart Cultural heritage.
Future Gener. Comput. Syst., 2018

S-InTime: A social cloud analytical service oriented system.
Future Gener. Comput. Syst., 2018

Data fusion in the internet of data.
Concurr. Comput. Pract. Exp., 2018

Centrality in heterogeneous social networks for lurkers detection: An approach based on hypergraphs.
Concurr. Comput. Pract. Exp., 2018

Traditional and Deep Learning Approaches to Information and Influence Propagation in Social Networks.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

Remarks of Social Data Mining Applications in the Internet of Data.
Proceedings of the Advances in Network-Based Information Systems, 2018

2017
Cultural heritage and new technologies: trends and challenges.
Pers. Ubiquitous Comput., 2017

Social recommendation service for cultural heritage.
Pers. Ubiquitous Comput., 2017

A novel approach for automatic text analysis and generation for the cultural heritage domain.
Multim. Tools Appl., 2017

Enabling multimedia aware vertical handover Management in Internet of Things based heterogeneous wireless networks.
Multim. Tools Appl., 2017

Understanding Customer Experience Diffusion on Social Networking Services by Big Data Analytics.
Mob. Networks Appl., 2017

The Internet of Things Supporting Context-Aware Computing: A Cultural Heritage Case Study.
Mob. Networks Appl., 2017

Control frameworks in network emulation testbeds: A survey.
J. Comput. Sci., 2017

SmaCH: an infrastructure for smart cultural heritage environments.
Int. J. Ad Hoc Ubiquitous Comput., 2017

An associative engines based approach supporting collaborative analytics in the Internet of cultural things.
Future Gener. Comput. Syst., 2017

IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario.
Expert Syst. Appl., 2017

Cultural Heritage on Internet of Things (IoT) systems: Trends and challenges.
Concurr. Comput. Pract. Exp., 2017

A location-based IoT platform supporting the cultural heritage domain.
Concurr. Comput. Pract. Exp., 2017

Spatio-Temporal Contextualization of Queries for Microtexts in Social Media: Mathematical Modeling.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

Remarks on a computational estimator for the barrier option pricing in an IoT scenario.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

2016
Sensitivity Mining in Social Pulses to Address Cultural Heritage Competitive Intelligence.
Int. J. Knowl. Soc. Res., 2016

A smart system to manage the context evolution in the Cultural Heritage domain.
Comput. Electr. Eng., 2016

The Internet of Cultural Things: Towards a Smart Cultural Heritage.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Cultural Heritage and Social Pulse: A Semantic Approach for CH Sensitivity Discovery in Social Media Data.
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

A Service Oriented Framework for Analysing Social Network Activities.
Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops, 2016

Handling Uncertainty in Clustering Art-Exhibition Visiting Styles.
Proceedings of the Big Data Technologies and Applications - 7th International Conference, 2016

Designing a Service Oriented System for social analytics.
Proceedings of the Advances on P2P, 2016

2015
Smart environments and Cultural Heritage: a novel approach to create <i>intelligent</i> cultural spaces.
J. Locat. Based Serv., 2015

SMuNe: A Smart Multisensor Network Based on Embedded Systems in IoT Environment.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

The TrUST Project: Improving the Fruition of Historical Centres through Smart Objects.
Proceedings of the 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015)/ The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015)/ Affiliated Workshops, 2015

A Mathematical Formulation for Estimating Age Levels in the Carolina Curriculum.
Proceedings of the HEALTHINF 2015, 2015

A Cultural Heritage Case Study of Visitor Experiences Shared on a Social Network.
Proceedings of the 10th International Conference on P2P, 2015

An Associative Engines Based Approach Supporting Collaborative Analytics in the Internet of Cultural Things.
Proceedings of the 10th International Conference on P2P, 2015

2014
3D Data Denoising via Nonlocal Means Filter by Using Parallel GPU Strategies.
Comput. Math. Methods Medicine, 2014

SmaCH: A Framework for Smart Cultural Heritage Spaces.
Proceedings of the Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 2014

A location-based smart application applied to cultural heritage environments.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Designing a Smart Museum: When Cultural Heritage Joins IoT.
Proceedings of the Eighth International Conference on Next Generation Mobile Apps, 2014

Modelling the context evolution in Cultural Heritage domain: A graph approach.
Proceedings of the 3rd International Conference on Context-Aware Systems and Applications, 2014

CarolApp - A Mobile e-Health Software Project for Remote Monitoring of Children enrolled in the Carolina Curriculum.
Proceedings of the HEALTHINF 2014, 2014

2013
A Novel Challenge into Multimedia Cultural Heritage: An Integrated Approach to Support Cultural Information Enrichment.
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

SmARTweet: A Location-Based Smart Application for Exhibits and Museums.
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

Mobile learning for clinical practice guidelines implementation: a medical app for pediatric acute gastroenteritis.
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013

A Regularized MRI Image Reconstruction based on Hessian Penalty Term on CPU/GPU Systems.
Proceedings of the International Conference on Computational Science, 2013

3D Non-Local Means denoising via multi-GPU.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

The Talking Museum Project.
Proceedings of the 4th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2013) and the 3rd International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), 2013

2012
A social network framework for the Carolina software.
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

2011
The C@Rolin@ Software - A System for Monitoring Skills Development of Children with Down Syndrome.
Proceedings of the HEALTHINF 2011, 2011


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