Francesco Piccialli

ORCID

Publication Activity (10 Years)

Years Active: 2011-2025
Publications (10 Years): 158

Top Venues

Future Gener. Comput. Syst.

CoRR

IEEE Trans. Ind. Informatics

Concurr. Comput. Pract. Exp.

Publications

Pian Qi, Diletta Chiaro, Francesco Piccialli
Small models, big impact: A review on the power of lightweight Federated Learning. Future Gener. Comput. Syst. 162 (2025)
Martina Savoia, Edoardo Prezioso, Valeria Mele, Francesco Piccialli
Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection. Comput. Commun. 225 (2024)
Federico Gatta, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli
Predictive maintenance for offshore oil wells by means of deep learning features extraction. Expert Syst. J. Knowl. Eng. 41 (2) (2024)
Francesco Piccialli, Salvatore Cuomo, Vincenzo Schiano Di Cola, Giampaolo Casolla
A machine learning approach for IoT cultural data. J. Ambient Intell. Humaniz. Comput. 15 (2) (2024)
Daniela Annunziata, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Martina Savoia, Francesco Piccialli
On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing. PDP (2024)
Francesco Piccialli, Gianluigi Rozza, Giovanni Stabile
Preface. Comput. Math. Appl. 155 (2024)
Salvatore Cuomo, Mariapia De Rosa, Francesco Piccialli, Laura Pompameo
Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy. Math. Comput. Simul. 223 (2024)
Daniela Annunziata, Marzia Canzaniello, Martina Savoia, Salvatore Cuomo, Francesco Piccialli
Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact. PDP (2024)
Francesco Piccialli, Maizar Raissi, Felipe A. C. Viana, Giancarlo Fortino, Huimin Lu, Amir Hussain
Guest Editorial: Special Issue on Physics-Informed Machine Learning. IEEE Trans. Artif. Intell. 5 (3) (2024)
Francesco Piccialli, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Pian Qi
GRAPHITE - Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency. Inf. Fusion 106 (2024)
Pian Qi, Diletta Chiaro, Antonella Guzzo, Michele Ianni, Giancarlo Fortino, Francesco Piccialli
Model aggregation techniques in federated learning: A comprehensive survey. Future Gener. Comput. Syst. 150 (2024)
Giuseppe Aceto, Fabio Giampaolo, Ciro Guida, Stefano Izzo, Antonio Pescapè, Francesco Piccialli, Edoardo Prezioso
Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. J. Netw. Comput. Appl. 229 (2024)
Rokas Gipiskis, Diletta Chiaro, Marco Preziosi, Edoardo Prezioso, Francesco Piccialli
The Impact of Adversarial Attacks on Interpretable Semantic Segmentation in Cyber-Physical Systems. IEEE Syst. J. 17 (4) (2023)
Pian Qi, Fabio Giampaolo, Edoardo Prezioso, Francesco Piccialli
Unsupervised Learning for Depth Estimation in Unstructured Environments. BigData (2023)
Zhengjing Ma, Gang Mei, Francesco Piccialli
An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems. IEEE Trans. Ind. Informatics 19 (4) (2023)
Imran Ahmed, Abdellah Chehri, Gwanggil Jeon, Francesco Piccialli
Automated Pulmonary Nodule Classification and Detection Using Deep Learning Architectures. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (4) (2023)
Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Diletta Chiaro, Salvatore Cuomo, Valerio Bellandi, Francesco Piccialli
A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning. DASC/PiCom/CBDCom/CyberSciTech (2023)
Diletta Chiaro, Daniela Annuziata, Stefano Izzo, Francesco Piccialli
Unveiling engagement in virtual classrooms: a multimodal analysis. BigData (2023)
Fabio Giampaolo, Federico Gatta, Edoardo Prezioso, Salvatore Cuomo, Mengchu Zhou, Giancarlo Fortino, Francesco Piccialli
ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting. Inf. Fusion 100 (2023)
Stefano Izzo, Marzia Canzaniello, Martina Savoia, Fabio Giampaolo, Francesco Piccialli
Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment. DASC/PiCom/CBDCom/CyberSciTech (2023)
Edoardo Prezioso, Fabio Giampaolo, Stefano Izzo, Martina Savoia, Francesco Piccialli
Integrating Object Detection and Advanced Analytics for Smart City Crowd Management. ICNSC (2023)
Fabio Giampaolo, Stefano Izzo, Stefano Siccardi, Antongiacomo Polimeno, Valerio Bellandi, Francesco Piccialli
Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture. ICWS (2023)
Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. IJCNN (2023)
Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo
Modelling the COVID-19 infection rate through a Physics-Informed learning approach. PDP (2023)
Francesco Piccialli, Fabio Giampaolo, David Camacho, Gang Mei
Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications. IEEE Trans. Ind. Informatics 19 (2) (2023)
Víctor Rodríguez-Fernández, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho
DeepVATS: Deep Visual Analytics for Time Series. Knowl. Based Syst. 277 (2023)
Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. PDP (2023)
Simon Fong, Giancarlo Fortino, Dhanjoo N. Ghista, Francesco Piccialli
Special issue on deep learning and big data analytics for medical e-diagnosis/AI-based e-diagnosis. Neural Comput. Appl. 35 (22) (2023)
Xiaoyu Qi, Gang Mei, Jingzhi Tu, Ning Xi, Francesco Piccialli
A Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Victor Rodríguez-Fernández, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho
DeepVATS: Deep Visual Analytics for Time Series. CoRR (2023)
Rokas Gipiskis, Diletta Chiaro, Daniela Annunziata, Francesco Piccialli
Ablation Studies in Activation Maps for Explainable Semantic Segmentation in Industry 4.0. EUROCON (2023)
Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli
A blockchain-based secure Internet of medical things framework for stress detection. Inf. Sci. 628 (2023)
Pian Qi, Diletta Chiaro, Francesco Piccialli
FL-FD: Federated learning-based fall detection with multimodal data fusion. Inf. Fusion 99 (2023)
Federico Gatta, Fabio Giampaolo, Edoardo Prezioso, Gang Mei, Salvatore Cuomo, Francesco Piccialli
Neural networks generative models for time series. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue) (2022)
Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli
Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part B) (2022)
Kashif Naseer Qureshi, Omprakash Kaiwartya, Gwanggil Jeon, Francesco Piccialli
Neurocomputing for internet of things: Object recognition and detection strategy. Neurocomputing 485 (2022)
Salvatore Cuomo, Federico Gatta, Fabio Giampaolo, Carmela Iorio, Francesco Piccialli
An unsupervised learning framework for marketneutral portfolio. Expert Syst. Appl. 192 (2022)
Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo
A machine learning-based approach for mercury detection in marine waters. ICDM (Workshops) (2022)
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maizar Raissi, Francesco Piccialli
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next. CoRR (2022)
Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti
A physics-informed learning approach to Bernoulli-type free boundary problems. Comput. Math. Appl. 128 (2022)
Imran Ahmed, Gwanggil Jeon, Francesco Piccialli
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where. IEEE Trans. Ind. Informatics 18 (8) (2022)
Li Feng, Qinglin Zhao, Yu Zeng, Mianxiong Dong, Mu-Yen Chen, Mohammad Mehedi Hassan, Francesco Piccialli, Giancarlo Fortino
M-T2F: A High-Efficient Contention Protocol for Wireless Networking in Cyber-Physical-Social Systems. IEEE Trans. Netw. Sci. Eng. 9 (6) (2022)
Jingzhi Tu, Gang Mei, Zhengjing Ma, Francesco Piccialli
SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yuedan Chen, Guoqing Xiao, Kenli Li, Francesco Piccialli, Albert Y. Zomaya
fgSpMSpV: A Fine-grained Parallel SpMSpV Framework on HPC Platforms. ACM Trans. Parallel Comput. 9 (2) (2022)
Maria Ahmed Qureshi, Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli
Deep learning-based ambient assisted living for self-management of cardiovascular conditions. Neural Comput. Appl. 34 (13) (2022)
Salvatore Cuomo, Francesco Fato, Lorenzo Ugga, Gaia Spadarella, Renato Cuocolo, Fabio Giampaolo, Francesco Piccialli
A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging. PPAM (2) (2022)
Jingzhi Tu, Gang Mei, Francesco Piccialli
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles. J. Grid Comput. 20 (3) (2022)
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli
Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next. J. Sci. Comput. 92 (3) (2022)
Martina Savoia, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli
The BIOCHIP project: A Deep Learning approach for multiwell segmentation. DASC/PiCom/CBDCom/CyberSciTech (2022)
Zhengjing Ma, Gang Mei, Francesco Piccialli
Deep Learning for Secure Communication in Cyber-Physical Systems. IEEE Internet Things Mag. 5 (2) (2022)
Jingzhi Tu, Gang Mei, Francesco Piccialli
-core decomposition as a sampling strategy for large networks. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part B) (2022)
Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, G. Dell'Aversana Orabona, Renato Cuocolo, V. Abbate, Lorenzo Ugga, L. Califano
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Yue Lu, Gang Mei, Francesco Piccialli
A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN). CoRR (2022)
Zhihan Lv, Liang Qiao, Shuo Yang, Jinhua Li, Haibin Lv, Francesco Piccialli
Memory-augmented neural networks based dynamic complex image segmentation in digital twins for self-driving vehicle. Pattern Recognit. 132 (2022)
Yinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei
Numerical modeling of the propagation process of landslide surge using physics-informed deep learning. Adv. Model. Simul. Eng. Sci. 9 (1) (2022)
Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli
Cut the peaches: image segmentation for utility pattern mining in food processing. ICDM (Workshops) (2022)
Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng
A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Francesco Piccialli, Nik Bessis, Gwanggil Jeon, Calton Pu
Introduction to the Special Section on Data Science for Cyber-Physical Systems. ACM Trans. Internet Techn. 21 (2) (2021)
Zhihan Lv, Liang Qiao, Qingjun Wang, Francesco Piccialli
Advanced Machine-Learning Methods for Brain-Computer Interfacing. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli
-core decomposition and motifs. Comput. Electr. Eng. 96 (Part) (2021)
Francesco Piccialli, Gwanggil Jeon
Special issue on toward the Internet of Things of year 2020: Applications and future trends. Concurr. Comput. Pract. Exp. 33 (3) (2021)
Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, David Camacho, Giovanni Acampora
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion. Inf. Fusion 74 (2021)
Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli
Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects. IEEE Trans. Intell. Transp. Syst. 22 (3) (2021)
Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction. CoRR (2021)
Imran Ahmed, Sadia Din, Gwanggil Jeon, Francesco Piccialli, Giancarlo Fortino
Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning. IEEE CAA J. Autom. Sinica 8 (7) (2021)
Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, Salvatore Cuomo
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic. Inf. Syst. Frontiers 23 (6) (2021)
Ning Lu, Dan Li, Wenbo Shi, Pandi Vijayakumar, Francesco Piccialli, Victor Chang
An efficient combined deep neural network based malware detection framework in 5G environment. Comput. Networks 189 (2021)
Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, Danilo Crisci, Salvatore Cuomo
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data. ACM Trans. Internet Techn. 21 (3) (2021)
Jiayu Qin, Gang Mei, Zhengjing Ma, Francesco Piccialli
General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention. Big Data 9 (5) (2021)
Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, Salvatore Cuomo, Giancarlo Fortino
A survey on deep learning in medicine: Why, how and when? Inf. Fusion 66 (2021)
Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli
Anomaly detection and trust authority in artificial intelligence and cloud computing. Comput. Networks 184 (2021)
Zhihan Lv, Francesco Piccialli
The Security of Medical Data on Internet Based on Differential Privacy Technology. ACM Trans. Internet Techn. 21 (3) (2021)
Francesco Piccialli, Nik Bessis, Erik Cambria
Guest Editorial: Industrial Internet of Things: Where Are We and What Is Next? IEEE Trans. Ind. Informatics 17 (11) (2021)
Chun-Wei Tsai, Mu-Yen Chen, Francesco Piccialli, Tie Qiu, Jason J. Jung, Patrick C. K. Hung, Sherali Zeadally
IEEE Access Special Section Editorial: Data Mining for Internet of Things. IEEE Access 9 (2021)
Imran Ahmed, Misbah Ahmad, Gwanggil Jeon, Francesco Piccialli
A Framework for Pandemic Prediction Using Big Data Analytics. Big Data Res. 25 (2021)
Jingzhi Tu, Gang Mei, Francesco Piccialli
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving. CoRR (2021)
Kashif Naseer Qureshi, Awais Ahmad, Francesco Piccialli, Giampaolo Casolla, Gwanggil Jeon
Nature-inspired algorithm-based secure data dissemination framework for smart city networks. Neural Comput. Appl. 33 (17) (2021)
Zhongjin Li, Victor Chang, Haiyang Hu, Maozhong Fu, Jidong Ge, Francesco Piccialli
Optimizing makespan and resource utilization for multi-DNN training in GPU cluster. Future Gener. Comput. Syst. 125 (2021)
Francesco Piccialli, Fabio Giampaolo, Alessandro Salvi, Salvatore Cuomo
A robust ensemble technique in forecasting workload of local healthcare departments. Neurocomputing 444 (2021)
Kashif Naseer Qureshi, Muhammad Ahmed, Gwanggil Jeon, Francesco Piccialli
An Enhanced Multi-Hop Intersection-Based Geographical Routing Protocol for the Internet of Connected Vehicles Network. IEEE Trans. Intell. Transp. Syst. 22 (6) (2021)
Imran Ahmed, Gwanggil Jeon, Francesco Piccialli
A Deep-Learning-Based Smart Healthcare System for Patient's Discomfort Detection at the Edge of Internet of Things. IEEE Internet Things J. 8 (13) (2021)
Francesco Calabrò, Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti
Deep Learning for the Approximation of a Shape Functional. CoRR (2021)
Francesco Piccialli, Gwanggil Jeon
Context-aware Computing for the Internet of Things. Internet Things 14 (2021)
Yuting Yang, Gang Mei, Francesco Piccialli
Explainable Deep Learning Models on the Diagnosis of Pneumonia. CHASE (2021)
Zhengjing Ma, Gang Mei, Francesco Piccialli
Machine learning for landslides prevention: a survey. Neural Comput. Appl. 33 (17) (2021)
Abid Khan, Sadia Din, Gwanggil Jeon, Francesco Piccialli
Lucy With Agents in the Sky: Trustworthiness of Cloud Storage for Industrial Internet of Things. IEEE Trans. Ind. Informatics 17 (2) (2021)
Salvatore Cuomo, Francesco Piccialli, Federica Sica
RBF methods in a Stochastic Volatility framework for Greeks computation. J. Comput. Appl. Math. 380 (2020)
Francesco Piccialli, Salvatore Cuomo, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola
Path prediction in IoT systems through Markov Chain algorithm. Future Gener. Comput. Syst. 109 (2020)
Md. Arafatur Rahman, Zahir Tari, Dakai Zhu, Francesco Piccialli, Xiaokang Wang
IEEE Access Special Section Editorial: Cloud-Fog-Edge Computing in Cyber-Physical-Social Systems (CPSS). IEEE Access 8 (2020)
Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Vincenzo Schiano Di Cola
Decision Making in IoT Environment through Unsupervised Learning. IEEE Intell. Syst. 35 (1) (2020)
Francesco Piccialli, Yuji Yoshimura, Paolo Benedusi, Carlo Ratti, Salvatore Cuomo
Lessons learned from longitudinal modeling of mobile-equipped visitors in a complex museum. Neural Comput. Appl. 32 (12) (2020)
Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli
A computational method for the European option price in an Internet of Things framework. Future Gener. Comput. Syst. 107 (2020)
Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Edoardo Prezioso, Vincenzo Schiano Di Cola
Unsupervised learning on multimedia data: a Cultural Heritage case study. Multim. Tools Appl. 79 (45-46) (2020)
Kaifeng Gao, Gang Mei, Francesco Piccialli, Salvatore Cuomo, Jingzhi Tu, Zenan Huo
Julia language in machine learning: Algorithms, applications, and open issues. Comput. Sci. Rev. 37 (2020)
Francesco Piccialli, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola, Kenli Li
A Deep Learning approach for Path Prediction in a Location-based IoT system. Pervasive Mob. Comput. 66 (2020)
Khan Muhammad, Joel J. P. C. Rodrigues, Sergey Kozlov, Francesco Piccialli, Victor Hugo C. de Albuquerque
Energy-Efficient Monitoring of Fire Scenes for Intelligent Networks. IEEE Netw. 34 (3) (2020)
Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli
An accurate and dynamic predictive model for a smart M-Health system using machine learning. Inf. Sci. 538 (2020)
Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli
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. 155 (2020)
Francesco Piccialli, Nik Bessis, Jason J. Jung
Guest Editorial: Data Science Challenges in Industry 4.0. IEEE Trans. Ind. Informatics 16 (9) (2020)
Kashif Naseer Qureshi, Abeer Iftikhar, Shahid Nazeer Bhatti, Francesco Piccialli, Fabio Giampaolo, Gwanggil Jeon
Trust management and evaluation for edge intelligence in the Internet of Things. Eng. Appl. Artif. Intell. 94 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francesco Piccialli