| Pian Qi, Diletta Chiaro, Francesco Piccialli |
Small models, big impact: A review on the power of lightweight Federated Learning |
2025 |
Future Gener. Comput. Syst. |
Link |
| Stefano Izzo, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli |
SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning |
2024 |
ICDCSW |
Link |
| Daniela Annunziata, Marzia Canzaniello, Martina Savoia, Salvatore Cuomo, Francesco Piccialli |
Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact |
2024 |
PDP |
Link |
| 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 |
2024 |
PDP |
Link |
| Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli |
KAFÈ: Kernel Aggregation for Federated |
2024 |
ECML/PKDD |
Link |
| Martina Savoia, Edoardo Prezioso, Valeria Mele, Francesco Piccialli |
Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection |
2024 |
Comput. Commun. |
Link |
| Federico Gatta, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli |
Predictive maintenance for offshore oil wells by means of deep learning features extraction |
2024 |
Expert Syst. J. Knowl. Eng. |
Link |
| Pian Qi, Diletta Chiaro, Antonella Guzzo, Michele Ianni, Giancarlo Fortino, Francesco Piccialli |
Model aggregation techniques in federated learning: A comprehensive survey |
2024 |
Future Gener. Comput. Syst. |
Link |
| 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 |
2024 |
J. Netw. Comput. Appl. |
Link |
| Salvatore Cuomo, Mariapia De Rosa, Francesco Piccialli, Laura Pompameo |
Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy |
2024 |
Math. Comput. Simul. |
Link |
| V. Convertito, F. Giampaolo, O. Amoroso, F. Piccialli |
Deep learning forecasting of large induced earthquakes via precursory signals |
2024 |
Scientific Reports |
Link |
| F. Piccialli, M. Canzaniello, D. Chiaro, S. Izzo, P. Qi |
GRAPHITE – Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency |
2024 |
Information Fusion |
Link |
| P. Qi, D. Chiaro, A. Guzzo, M. Ianni, G. Fortino, F. Piccialli |
Model aggregation techniques in federated learning: A comprehensive survey |
2024 |
Future Generation Computer Systems |
Link |
| Pian Qi, Diletta Chiaro, Francesco Piccialli |
FL-FD: Federated learning-based fall detection with multimodal data fusion. |
2023 |
Inf. Fusion |
Link |
| F. Giampaolo, S. Izzo, S. Siccardi, A. Polimeno, V. Bellandi, F. Piccialli |
Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture |
2023 |
IEEE International Conference on Web Services (ICWS) |
Link |
| 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. |
2023 |
Inf. Fusion |
Link |
| Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli |
A blockchain-based secure Internet of medical things framework for stress detection. |
2023 |
Inf. Sci. |
Link |
| Víctor Rodríguez-Fernández, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho |
DeepVATS: Deep Visual Analytics for Time Series. |
2023 |
Knowl. Based Syst. |
Link |
| Imran Ahmed , Abdellah Chehri, Gwanggil Jeon, Francesco Piccialli |
Automated Pulmonary Nodule Classification and Detection Using Deep Learning Architectures. |
2023 |
IEEE ACM Trans. Comput. Biol. Bioinform. |
Link |
| 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. |
2023 |
IEEE Trans. Ind. Informatics |
Link |
| 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. |
2023 |
IEEE Trans. Intell. Transp. Syst. |
Link |
| Rokas Gipiskis, Diletta Chiaro, Daniela Annunziata, Francesco Piccialli |
Ablation Studies in Activation Maps for Explainable Semantic Segmentation in Industry 4.0. |
2023 |
EUROCON |
Link |
| Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli |
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. |
2023 |
IJCNN |
Link |
| 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. |
2023 |
PDP |
Link |
| Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo |
Modelling the COVID-19 infection rate through a Physics-Informed learning approach. |
2023 |
PDP |
Link |
| Yinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei |
Numerical modeling of the propagation process of landslide surge using physics-informed deep learning. |
2022 |
Adv. Model. Simul. Eng. Sci. |
Link |
| Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti |
A physics-informed learning approach to Bernoulli-type free boundary problems. |
2022 |
Comput. Math. Appl. |
Link |
| Salvatore Cuomo, Federico Gatta, Fabio Giampaolo, Carmela Iorio, Francesco Piccialli |
An unsupervised learning framework for marketneutral portfolio. |
2022 |
Expert Syst. Appl. |
Link |
| Jingzhi Tu, Gang Mei, Francesco Piccialli |
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles. |
2022 |
J. Grid Comput. |
Link |
| Zhengjing Ma, Gang Mei, Francesco Piccialli |
Deep Learning for Secure Communication in Cyber-Physical Systems. |
2022 |
IEEE Internet Things Mag. |
Link |
| 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. |
2022 |
J. King Saud Univ. Comput. Inf. Sci. |
Link |
| Jingzhi Tu, Gang Mei, Francesco Piccialli |
\nAn improved Nyström spectral graph clustering using\n |
2022 |
J. King Saud Univ. Comput. Inf. Sci. |
Link |
| Federico Gatta, Fabio Giampaolo, Edoardo Prezioso, Gang Mei, Salvatore Cuomo, Francesco Piccialli |
Neural networks generative models for time series. |
2022 |
J. King Saud Univ. Comput. Inf. Sci. |
Link |
| 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. |
2022 |
J. Sci. Comput. |
Link |
| Maria Ahmed Qureshi, Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli |
Deep learning-based ambient assisted living for self-management of cardiovascular conditions. |
2022 |
Neural Comput. Appl. |
Link |
| Jingzhi Tu, Gang Mei, Zhengjing Ma, Francesco Piccialli |
SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution. |
2022 |
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. |
Link |
| Imran Ahmed , Gwanggil Jeon, Francesco Piccialli |
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where. |
2022 |
IEEE Trans. Ind. Informatics |
Link |
| Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, Giovanni Dell’Aversana Orabona, Renato Cuocolo, V. Abbate, Lorenzo Ugga, L. Califano |
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning. |
2022 |
IEEE J. Biomed. Health Informatics |
Link |
| 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. |
2022 |
IEEE Trans. Intell. Transp. Syst. |
Link |
| Yuedan Chen, Guoqing Xiao , Kenli Li , Francesco Piccialli, Albert Y. Zomaya |
fgSpMSpV: A Fine-grained Parallel SpMSpV Framework on HPC Platforms. |
2022 |
ACM Trans. Parallel Comput. |
Link |
| Martina Savoia, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli |
The BIOCHIP project: A Deep Learning approach for multiwell segmentation. |
2022 |
IEEE CyberSciTech |
Link |
| 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. |
2022 |
ICDM (Workshops) |
Link |
| Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli |
Cut the peaches: image segmentation for utility pattern mining in food processing. |
2022 |
ICDM (Workshops) |
Link |
| 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. |
2022 |
PPAM (2) |
Link |
| Imran Ahmed , Misbah Ahmad, Gwanggil Jeon, Francesco Piccialli |
A Framework for Pandemic Prediction Using Big Data Analytics. |
2021 |
Big Data Res. |
Link |
| Jiayu Qin, Gang Mei, Zhengjing Ma, Francesco Piccialli |
General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention. |
2021 |
Big Data |
Link |
| Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli |
\nAn efficient graph clustering algorithm by exploiting\n |
2021 |
Comput. Electr. Eng. |
Link |
| Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli |
Anomaly detection and trust authority in artificial intelligence and cloud computing. |
2021 |
Comput. Networks |
Link |
| Ning Lu , Dan Li 0028, Wenbo Shi, Pandi Vijayakumar, Francesco Piccialli, Victor Chang |
An efficient combined deep neural network based malware detection framework in 5G environment. |
2021 |
Comput. Networks |
Link |
| Zhongjin Li, Victor Chang , Haiyang Hu, Maozhong Fu, Jidong Ge, Francesco Piccialli |
Optimizing makespan and resource utilization for multi-DNN training in GPU cluster. |
2021 |
Future Gener. Comput. Syst. |
Link |
| 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. |
2021 |
IEEE CAA J. Autom. Sinica |
Link |
| Francesco Piccialli, Fabio Giampaolo, Alessandro Salvi, Salvatore Cuomo |
A robust ensemble technique in forecasting workload of local healthcare departments. |
2021 |
Neurocomputing |
Link |
| Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, Salvatore Cuomo, Giancarlo Fortino |
A survey on deep learning in medicine: Why, how and when? |
2021 |
Inf. Fusion |
Link |
| Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, David Camacho, Giovanni Acampora |
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion. |
2021 |
Inf. Fusion |
Link |
| Francesco Piccialli, Gwanggil Jeon |
Context-aware Computing for the Internet of Things. |
2021 |
Internet Things |
Link |
| 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. |
2021 |
IEEE Internet Things J. |
Link |
| Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, Salvatore Cuomo |
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic. |
2021 |
Inf. Syst. Frontiers |
Link |
| Kashif Naseer Qureshi, Awais Ahmad , Francesco Piccialli, Giampaolo Casolla, Gwanggil Jeon |
Nature-inspired algorithm-based secure data dissemination framework for smart city networks. |
2021 |
Neural Comput. Appl. |
Link |
| Zhengjing Ma, Gang Mei, Francesco Piccialli |
Machine learning for landslides prevention: a survey. |
2021 |
Neural Comput. Appl. |
Link |
| Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli |
Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects. |
2021 |
IEEE Trans. Intell. Transp. Syst. |
Link |
| Kashif Naseer Qureshi, Muhammed Zaharadeen Ahmed, Gwanggil Jeon, Francesco Piccialli |
An Enhanced Multi-Hop Intersection-Based Geographical Routing Protocol for the Internet of Connected Vehicles Network. |
2021 |
IEEE Trans. Intell. Transp. Syst. |
Link |
| Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, Danilo Crisci, Salvatore Cuomo |
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data. |
2021 |
ACM Trans. Internet Techn. |
Link |
| Yuting Yang , Gang Mei, Francesco Piccialli |
Explainable Deep Learning Models on the Diagnosis of Pneumonia. |
2021 |
CHASE |
Link |
| Kaifeng Gao, Gang Mei, Francesco Piccialli, Salvatore Cuomo, Jingzhi Tu, Zenan Huo |
Julia language in machine learning: Algorithms, applications, and open issues. |
2020 |
Comput. Sci. Rev. |
Link |
| 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. |
2020 |
Eng. Appl. Artif. Intell. |
Link |
| Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Vincenzo Schiano Di Cola |
Decision Making in IoT Environment through Unsupervised Learning. |
2020 |
IEEE Intell. Syst. |
Link |
| Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli |
A computational method for the European option price in an Internet of Things framework. |
2020 |
Future Gener. Comput. Syst. |
Link |
| Francesco Piccialli, Salvatore Cuomo, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola |
Path prediction in IoT systems through Markov Chain algorithm. |
2020 |
Future Gener. Comput. Syst. |
Link |
| Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli |
Pricing estimation of a barrier option in an IoT scenario. |
2020 |
Future Gener. Comput. Syst. |
Link |
| Francesco Piccialli, Salvatore Cuomo, Nik Bessis, Yuji Yoshimura |
Data Science for the Internet of Things. |
2020 |
IEEE Internet Things J. |
Link |
| Imran Ahmed , Sadia Din, Gwanggil Jeon, Francesco Piccialli |
Exploring Deep Learning Models for Overhead View Multiple Object Detection. |
2020 |
IEEE Internet Things J. |
Link |
| Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli |
An accurate and dynamic predictive model for a smart M-Health system using machine learning. |
2020 |
Inf. Sci. |
Link |
| Ahmed Fathalla, Ahmad Salah, Kenli Li , Keqin Li , Francesco Piccialli |
Deep end-to-end learning for price prediction of second-hand items. |
2020 |
Knowl. Inf. Syst. |
Link |
| Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Edoardo Prezioso, Vincenzo Schiano Di Cola |
Unsupervised learning on multimedia data: a Cultural Heritage case study. |
2020 |
Multim. Tools Appl. |
Link |
| 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. |
2020 |
Pervasive Mob. Comput. |
Link |
| Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu |
ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets. |
2020 |
Soft Comput. |
Link |
| Giampaolo Casolla, Salvatore Cuomo, Vincenzo Schiano Di Cola, Francesco Piccialli |
Exploring Unsupervised Learning Techniques for the Internet of Things. |
2020 |
IEEE Trans. Ind. Informatics |
Link |
| Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu |
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. |
2019 |
NUMTA(1) |
Link |
