MODAL@UNINA

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