A list of recent and selected publications of our research group.
Authors | Title | Year | Source title | 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 |
Flora Amato, Vincenzo Moscato, Antonio Picariello, Francesco Piccialli | SOS: A multimedia recommender System for Online Social networks. | 2019 | Future Gener. Comput. Syst. | 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 |