{"id":62,"date":"2019-03-26T08:08:55","date_gmt":"2019-03-26T07:08:55","guid":{"rendered":"http:\/\/www.labdma.unina.it\/?page_id=62"},"modified":"2024-10-18T15:57:55","modified_gmt":"2024-10-18T13:57:55","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.labdma.unina.it\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<h2 style=\"text-align: center;\"><strong>A list of recent and selected publications of our research group.<\/strong><\/h2>\n<p>\u00a0<\/p>\n<pre>Our research group has contributed extensively to the field of Artificial Intelligence, Federated Learning, and Deep Learning methodologies. The published works span across a variety of domains, including healthcare, smart cities, cybersecurity, and predictive maintenance. Our recent studies also emphasize cutting-edge methods in data fusion, explainable AI, and the integration of deep learning models for real-time decision-making and IoT systems optimization.<\/pre>\n<p>\u00a0<\/p>\n\n\n<style>\n\/* Stile per la tabella con identificatore \"pubblicazioni\" *\/\ntable#pubblicazioni {\n    font-family: Arial, sans-serif;\n    border-collapse: collapse;\n    width: 100%;\n    margin-bottom: 20px;\n}\n\ntable#pubblicazioni th, table#pubblicazioni td {\n    border: 1px solid #dddddd;\n    text-align: left;\n    padding: 8px;\n}\n\ntable#pubblicazioni th, table#pubblicazioni td {\n    font-size: 13px;\n}\n\ntable#pubblicazioni tr:nth-child(even) {\n    background-color: #f2f2f2;\n}\n\n\/* Stile per la barra di ricerca *\/\ninput#searchInput {\n    width: 100%;\n    font-size: 16px;\n    padding: 12px 20px;\n    margin-bottom: 12px;\n    border: 1px solid #ddd;\n}\n\n\/* Aggiungi uno stile per rendere la tabella responsiva *\/\n@media screen and (max-width: 600px) {\n    table#pubblicazioni {\n        font-size: 80%;\n    }\n\n    table#pubblicazioni thead {\n        display: none;\n    }\n\n    table#pubblicazioni tbody, table#pubblicazioni tr, table#pubblicazioni td {\n        display: block;\n        width: 100%;\n    }\n\n    table#pubblicazioni td {\n        text-align: left;\n        padding: 8px;\n        margin-bottom: 4px;\n    }\n\n    table#pubblicazioni td::before {\n        content: attr(data-label);\n        font-weight: bold;\n        display: block;\n    }\n}\n<\/style>\n\n<!-- Barra di ricerca -->\n<input type=\"text\" id=\"searchInput\" onkeyup=\"searchTable()\" placeholder=\"Search within Publications...\">\n\n<table id=\"pubblicazioni\" border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n<th style=\"width: 25%;\">\ufeffAuthors<\/th>\n<th style=\"width: 55%;\">Title<\/th>\n<th style=\"width: 5%;\">Year<\/th>\n<th style=\"width: 10%;\">Source title<\/th>\n<th style=\"width: 5%;\">Link<\/th>\n    <\/tr>\n  <\/thead>\n  <tbody>\n\n<tr>\n    <td>Pian Qi, Diletta Chiaro, Francesco Piccialli<\/td>\n    <td>Small models, big impact: A review on the power of lightweight Federated Learning<\/td>\n    <td>2025<\/td>\n    <td>Future Gener. Comput. Syst.<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n\n\n<tr>\n    <td>Stefano Izzo, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli<\/td>\n    <td>SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning<\/td>\n    <td>2024<\/td>\n    <td>ICDCSW<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n\n\n<tr>\n    <td>Daniela Annunziata, Marzia Canzaniello, Martina Savoia, Salvatore Cuomo, Francesco Piccialli<\/td>\n    <td>Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact<\/td>\n    <td>2024<\/td>\n    <td>PDP<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n<tr>\n    <td>Daniela Annunziata, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Martina Savoia, Francesco Piccialli<\/td>\n    <td>On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing<\/td>\n    <td>2024<\/td>\n    <td>PDP<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n<tr>\n    <td>Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli<\/td>\n    <td>KAF\u00c8: Kernel Aggregation for Federated<\/td>\n    <td>2024<\/td>\n    <td>ECML\/PKDD<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n\n<tr>\n    <td>Martina Savoia, Edoardo Prezioso, Valeria Mele, Francesco Piccialli<\/td>\n    <td>Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection<\/td>\n    <td>2024<\/td>\n    <td>Comput. Commun.<\/td>\n    <td><a href=\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n<tr>\n    <td>Federico Gatta, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli<\/td>\n    <td>Predictive maintenance for offshore oil wells by means of deep learning features extraction<\/td>\n    <td>2024<\/td>\n    <td>Expert Syst. J. Knowl. Eng.<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n<tr>\n    <td>Pian Qi, Diletta Chiaro, Antonella Guzzo, Michele Ianni, Giancarlo Fortino, Francesco Piccialli<\/td>\n    <td>Model aggregation techniques in federated learning: A comprehensive survey<\/td>\n    <td>2024<\/td>\n    <td>Future Gener. Comput. Syst.<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n\n\n<tr>\n    <td>Giuseppe Aceto, Fabio Giampaolo, Ciro Guida, Stefano Izzo, Antonio Pescap\u00e8, Francesco Piccialli, Edoardo Prezioso<\/td>\n    <td>Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems<\/td>\n    <td>2024<\/td>\n    <td>J. Netw. Comput. Appl.<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n<tr>\n    <td>Salvatore Cuomo, Mariapia De Rosa, Francesco Piccialli, Laura Pompameo<\/td>\n    <td>Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy<\/td>\n    <td>2024<\/td>\n    <td>Math. Comput. Simul.<\/td>\n    <td><a href=\"\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n<\/tr>\n\n\n\n <tr>\n      <td>V. Convertito, F. Giampaolo, O. Amoroso, F. Piccialli<\/td>\n      <td>Deep learning forecasting of large induced earthquakes via precursory signals<\/td>\n      <td>2024<\/td>\n      <td>Scientific Reports<\/td>\n      <td><a href=\"https:\/\/www.nature.com\/articles\/s41598-024-52935-2\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n\n <tr>\n      <td>F. Piccialli, M. Canzaniello, D. Chiaro, S. Izzo, P. Qi<\/td>\n      <td>GRAPHITE &#8211; Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency<\/td>\n      <td>2024<\/td>\n      <td>Information Fusion<\/td>\n      <td><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1566253524000435\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n <tr>\n      <td>P. Qi, D. Chiaro, A. Guzzo, M. Ianni, G. Fortino, F. Piccialli<\/td>\n      <td>Model aggregation techniques in federated learning: A comprehensive survey<\/td>\n      <td>2024<\/td>\n      <td>Future Generation Computer Systems<\/td>\n      <td><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167739X23003333\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n\n    <tr>\n      <td>Pian Qi, Diletta Chiaro, Francesco Piccialli<\/td>\n      <td>FL-FD: Federated learning-based fall detection with multimodal data fusion.<\/td>\n      <td>2023<\/td>\n      <td>Inf. Fusion<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2023.101890\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n\n    <tr>\n      <td>F. Giampaolo, S. Izzo, S. Siccardi, A. Polimeno, V. Bellandi, F. Piccialli<\/td>\n      <td>Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture<\/td>\n      <td>2023<\/td>\n      <td>IEEE International Conference on Web Services (ICWS)<\/td>\n      <td><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/10248240\/\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n\n\n    <tr>\n      <td>Fabio Giampaolo, Federico Gatta, Edoardo Prezioso, Salvatore Cuomo, Mengchu Zhou, Giancarlo Fortino, Francesco Piccialli<\/td>\n      <td>ENCODE &#8211; Ensemble neural combination for optimal dimensionality encoding in time-series forecasting.<\/td>\n      <td>2023<\/td>\n      <td>Inf. Fusion<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2023.101918\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli<\/td>\n      <td>A blockchain-based secure Internet of medical things framework for stress detection.<\/td>\n      <td>2023<\/td>\n      <td>Inf. Sci.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2023.01.123\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>V\u00edctor Rodr\u00edguez-Fern\u00e1ndez, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho<\/td>\n      <td>DeepVATS: Deep Visual Analytics for Time Series.<\/td>\n      <td>2023<\/td>\n      <td>Knowl. Based Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.knosys.2023.110793\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    \n    <tr>\n      <td>Imran Ahmed , Abdellah Chehri, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>Automated Pulmonary Nodule Classification and Detection Using Deep Learning Architectures.<\/td>\n      <td>2023<\/td>\n      <td>IEEE ACM Trans. Comput. Biol. Bioinform.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TCBB.2022.3192139\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Zhengjing Ma, Gang Mei, Francesco Piccialli<\/td>\n      <td>An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems.<\/td>\n      <td>2023<\/td>\n      <td>IEEE Trans. Ind. Informatics<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TII.2022.3204282\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Xiaoyu Qi, Gang Mei, Jingzhi Tu, Ning Xi, Francesco Piccialli<\/td>\n      <td>A Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network.<\/td>\n      <td>2023<\/td>\n      <td>IEEE Trans. Intell. Transp. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TITS.2022.3201879\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Rokas Gipiskis, Diletta Chiaro, Daniela Annunziata, Francesco Piccialli<\/td>\n      <td>Ablation Studies in Activation Maps for Explainable Semantic Segmentation in Industry 4.0.<\/td>\n      <td>2023<\/td>\n      <td>EUROCON<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/EUROCON56442.2023.10199094\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli<\/td>\n      <td>Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks.<\/td>\n      <td>2023<\/td>\n      <td>IJCNN<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/IJCNN54540.2023.10191727\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli<\/td>\n      <td>Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity.<\/td>\n      <td>2023<\/td>\n      <td>PDP<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/PDP59025.2023.00037\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo<\/td>\n      <td>Modelling the COVID-19 infection rate through a Physics-Informed learning approach.<\/td>\n      <td>2023<\/td>\n      <td>PDP<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/PDP59025.2023.00041\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Yinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei<\/td>\n      <td>Numerical modeling of the propagation process of landslide surge using physics-informed deep learning.<\/td>\n      <td>2022<\/td>\n      <td>Adv. Model. Simul. Eng. Sci.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1186\/s40323-022-00228-6\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti<\/td>\n      <td>A physics-informed learning approach to Bernoulli-type free boundary problems.<\/td>\n      <td>2022<\/td>\n      <td>Comput. Math. Appl.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2022.10.003\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Salvatore Cuomo, Federico Gatta, Fabio Giampaolo, Carmela Iorio, Francesco Piccialli<\/td>\n      <td>An unsupervised learning framework for marketneutral portfolio.<\/td>\n      <td>2022<\/td>\n      <td>Expert Syst. Appl.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2021.116308\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Jingzhi Tu, Gang Mei, Francesco Piccialli<\/td>\n      <td>An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles.<\/td>\n      <td>2022<\/td>\n      <td>J. Grid Comput.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s10723-022-09610-5\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Zhengjing Ma, Gang Mei, Francesco Piccialli<\/td>\n      <td>Deep Learning for Secure Communication in Cyber-Physical Systems.<\/td>\n      <td>2022<\/td>\n      <td>IEEE Internet Things Mag.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/IOTM.001.2100128\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli<\/td>\n      <td>Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction.<\/td>\n      <td>2022<\/td>\n      <td>J. King Saud Univ. Comput. Inf. Sci.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.jksuci.2022.04.003\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Jingzhi Tu, Gang Mei, Francesco Piccialli<\/td>\n      <td>\\nAn improved Nystr\u00f6m spectral graph clustering using\\n<\/td>\n      <td>2022<\/td>\n      <td>J. King Saud Univ. Comput. Inf. Sci.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.jksuci.2022.04.009\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Federico Gatta, Fabio Giampaolo, Edoardo Prezioso, Gang Mei, Salvatore Cuomo, Francesco Piccialli<\/td>\n      <td>Neural networks generative models for time series.<\/td>\n      <td>2022<\/td>\n      <td>J. King Saud Univ. Comput. Inf. Sci.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.jksuci.2022.07.010\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli<\/td>\n      <td>Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What&#8217;s Next.<\/td>\n      <td>2022<\/td>\n      <td>J. Sci. Comput.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s10915-022-01939-z\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Maria Ahmed Qureshi, Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>Deep learning-based ambient assisted living for self-management of cardiovascular conditions.<\/td>\n      <td>2022<\/td>\n      <td>Neural Comput. Appl.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s00521-020-05678-w\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Jingzhi Tu, Gang Mei, Zhengjing Ma, Francesco Piccialli<\/td>\n      <td>SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution.<\/td>\n      <td>2022<\/td>\n      <td>IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/JSTARS.2022.3190322\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Imran Ahmed , Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where.<\/td>\n      <td>2022<\/td>\n      <td>IEEE Trans. Ind. Informatics<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TII.2022.3146552\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, Giovanni Dell&#8217;Aversana Orabona, Renato Cuocolo, V. Abbate, Lorenzo Ugga, L. Califano<\/td>\n      <td>Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning.<\/td>\n      <td>2022<\/td>\n      <td>IEEE J. Biomed. Health Informatics<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/JBHI.2021.3120178\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Cen Chen, Kenli Li , Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng<\/td>\n      <td>A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.<\/td>\n      <td>2022<\/td>\n      <td>IEEE Trans. Intell. Transp. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TITS.2020.3034239\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Yuedan Chen, Guoqing Xiao , Kenli Li , Francesco Piccialli, Albert Y. Zomaya<\/td>\n      <td>fgSpMSpV: A Fine-grained Parallel SpMSpV Framework on HPC Platforms.<\/td>\n      <td>2022<\/td>\n      <td>ACM Trans. Parallel Comput.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1145\/3512770\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Martina Savoia, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli<\/td>\n      <td>The BIOCHIP project: A Deep Learning approach for multiwell segmentation.<\/td>\n      <td>2022<\/td>\n      <td>IEEE CyberSciTech<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/DASC\/PiCom\/CBDCom\/Cy55231.2022.9927700\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo<\/td>\n      <td>A machine learning-based approach for mercury detection in marine waters.<\/td>\n      <td>2022<\/td>\n      <td>ICDM (Workshops)<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/ICDMW58026.2022.00074\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli<\/td>\n      <td>Cut the peaches: image segmentation for utility pattern mining in food processing.<\/td>\n      <td>2022<\/td>\n      <td>ICDM (Workshops)<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/ICDMW58026.2022.00072\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Salvatore Cuomo, Francesco Fato, Lorenzo Ugga, Gaia Spadarella, Renato Cuocolo, Fabio Giampaolo, Francesco Piccialli<\/td>\n      <td>A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging.<\/td>\n      <td>2022<\/td>\n      <td>PPAM (2)<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-30445-3_10\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Imran Ahmed , Misbah Ahmad, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>A Framework for Pandemic Prediction Using Big Data Analytics.<\/td>\n      <td>2021<\/td>\n      <td>Big Data Res.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.bdr.2021.100190\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Jiayu Qin, Gang Mei, Zhengjing Ma, Francesco Piccialli<\/td>\n      <td>General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention.<\/td>\n      <td>2021<\/td>\n      <td>Big Data<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1089\/big.2020.0392\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli<\/td>\n      <td>\\nAn efficient graph clustering algorithm by exploiting\\n<\/td>\n      <td>2021<\/td>\n      <td>Comput. Electr. Eng.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.compeleceng.2021.107564\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>Anomaly detection and trust authority in artificial intelligence and cloud computing.<\/td>\n      <td>2021<\/td>\n      <td>Comput. Networks<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.comnet.2020.107647\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Ning Lu , Dan Li 0028, Wenbo Shi, Pandi Vijayakumar, Francesco Piccialli, Victor Chang<\/td>\n      <td>An efficient combined deep neural network based malware detection framework in 5G environment.<\/td>\n      <td>2021<\/td>\n      <td>Comput. Networks<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.comnet.2021.107932\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Zhongjin Li, Victor Chang , Haiyang Hu, Maozhong Fu, Jidong Ge, Francesco Piccialli<\/td>\n      <td>Optimizing makespan and resource utilization for multi-DNN training in GPU cluster.<\/td>\n      <td>2021<\/td>\n      <td>Future Gener. Comput. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.future.2021.06.021\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Imran Ahmed , Sadia Din, Gwanggil Jeon, Francesco Piccialli, Giancarlo Fortino<\/td>\n      <td>Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning.<\/td>\n      <td>2021<\/td>\n      <td>IEEE CAA J. Autom. Sinica<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/JAS.2020.1003453\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Fabio Giampaolo, Alessandro Salvi, Salvatore Cuomo<\/td>\n      <td>A robust ensemble technique in forecasting workload of local healthcare departments.<\/td>\n      <td>2021<\/td>\n      <td>Neurocomputing<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2020.02.138\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, Salvatore Cuomo, Giancarlo Fortino<\/td>\n      <td>A survey on deep learning in medicine: Why, how and when?<\/td>\n      <td>2021<\/td>\n      <td>Inf. Fusion<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2020.09.006\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, David Camacho, Giovanni Acampora<\/td>\n      <td>Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion.<\/td>\n      <td>2021<\/td>\n      <td>Inf. Fusion<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2021.03.004\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Gwanggil Jeon<\/td>\n      <td>Context-aware Computing for the Internet of Things.<\/td>\n      <td>2021<\/td>\n      <td>Internet Things<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.iot.2019.100154\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Imran Ahmed , Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>A Deep-Learning-Based Smart Healthcare System for Patient&#8217;s Discomfort Detection at the Edge of Internet of Things.<\/td>\n      <td>2021<\/td>\n      <td>IEEE Internet Things J.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/JIOT.2021.3052067\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, Salvatore Cuomo<\/td>\n      <td>The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.<\/td>\n      <td>2021<\/td>\n      <td>Inf. Syst. Frontiers<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s10796-021-10131-x\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kashif Naseer Qureshi, Awais Ahmad , Francesco Piccialli, Giampaolo Casolla, Gwanggil Jeon<\/td>\n      <td>Nature-inspired algorithm-based secure data dissemination framework for smart city networks.<\/td>\n      <td>2021<\/td>\n      <td>Neural Comput. Appl.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s00521-020-04900-z\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Zhengjing Ma, Gang Mei, Francesco Piccialli<\/td>\n      <td>Machine learning for landslides prevention: a survey.<\/td>\n      <td>2021<\/td>\n      <td>Neural Comput. Appl.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s00521-020-05529-8\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects.<\/td>\n      <td>2021<\/td>\n      <td>IEEE Trans. Intell. Transp. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TITS.2020.2994972\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kashif Naseer Qureshi, Muhammed Zaharadeen Ahmed, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>An Enhanced Multi-Hop Intersection-Based Geographical Routing Protocol for the Internet of Connected Vehicles Network.<\/td>\n      <td>2021<\/td>\n      <td>IEEE Trans. Intell. Transp. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TITS.2021.3049429\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n   \n    <tr>\n      <td>Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, Danilo Crisci, Salvatore Cuomo<\/td>\n      <td>Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data.<\/td>\n      <td>2021<\/td>\n      <td>ACM Trans. Internet Techn.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1145\/3412842\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Yuting Yang , Gang Mei, Francesco Piccialli<\/td>\n      <td>Explainable Deep Learning Models on the Diagnosis of Pneumonia.<\/td>\n      <td>2021<\/td>\n      <td>CHASE<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/CHASE52844.2021.00032\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kaifeng Gao, Gang Mei, Francesco Piccialli, Salvatore Cuomo, Jingzhi Tu, Zenan Huo<\/td>\n      <td>Julia language in machine learning: Algorithms, applications, and open issues.<\/td>\n      <td>2020<\/td>\n      <td>Comput. Sci. Rev.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.cosrev.2020.100254\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kashif Naseer Qureshi, Abeer Iftikhar, Shahid Nazeer Bhatti, Francesco Piccialli, Fabio Giampaolo, Gwanggil Jeon<\/td>\n      <td>Trust management and evaluation for edge intelligence in the Internet of Things.<\/td>\n      <td>2020<\/td>\n      <td>Eng. Appl. Artif. Intell.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.engappai.2020.103756\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Vincenzo Schiano Di Cola<\/td>\n      <td>Decision Making in IoT Environment through Unsupervised Learning.<\/td>\n      <td>2020<\/td>\n      <td>IEEE Intell. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/MIS.2019.2944783\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli<\/td>\n      <td>A computational method for the European option price in an Internet of Things framework.<\/td>\n      <td>2020<\/td>\n      <td>Future Gener. Comput. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.future.2017.07.062\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Salvatore Cuomo, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola<\/td>\n      <td>Path prediction in IoT systems through Markov Chain algorithm.<\/td>\n      <td>2020<\/td>\n      <td>Future Gener. Comput. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.future.2020.03.053\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli<\/td>\n      <td>Pricing estimation of a barrier option in an IoT scenario.<\/td>\n      <td>2020<\/td>\n      <td>Future Gener. Comput. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.future.2018.01.027\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Salvatore Cuomo, Nik Bessis, Yuji Yoshimura<\/td>\n      <td>Data Science for the Internet of Things.<\/td>\n      <td>2020<\/td>\n      <td>IEEE Internet Things J.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/JIOT.2020.2985598\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Imran Ahmed , Sadia Din, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>Exploring Deep Learning Models for Overhead View Multiple Object Detection.<\/td>\n      <td>2020<\/td>\n      <td>IEEE Internet Things J.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/JIOT.2019.2951365\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli<\/td>\n      <td>An accurate and dynamic predictive model for a smart M-Health system using machine learning.<\/td>\n      <td>2020<\/td>\n      <td>Inf. Sci.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2020.06.025\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Ahmed Fathalla, Ahmad Salah, Kenli Li , Keqin Li , Francesco Piccialli<\/td>\n      <td>Deep end-to-end learning for price prediction of second-hand items.<\/td>\n      <td>2020<\/td>\n      <td>Knowl. Inf. Syst.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s10115-020-01495-8\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Edoardo Prezioso, Vincenzo Schiano Di Cola<\/td>\n      <td>Unsupervised learning on multimedia data: a Cultural Heritage case study.<\/td>\n      <td>2020<\/td>\n      <td>Multim. Tools Appl.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s11042-020-08781-1\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Francesco Piccialli, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola, Kenli Li<\/td>\n      <td>A Deep Learning approach for Path Prediction in a Location-based IoT system.<\/td>\n      <td>2020<\/td>\n      <td>Pervasive Mob. Comput.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1016\/j.pmcj.2020.101210\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu<\/td>\n      <td>ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets.<\/td>\n      <td>2020<\/td>\n      <td>Soft Comput.<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/s00500-020-05211-0\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n    <tr>\n      <td>Giampaolo Casolla, Salvatore Cuomo, Vincenzo Schiano Di Cola, Francesco Piccialli<\/td>\n      <td>Exploring Unsupervised Learning Techniques for the Internet of Things.<\/td>\n      <td>2020<\/td>\n      <td>IEEE Trans. Ind. Informatics<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1109\/TII.2019.2941142\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n\n    <tr>\n      <td>Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu<\/td>\n      <td>Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data.<\/td>\n      <td>2019<\/td>\n      <td>NUMTA(1)<\/td>\n      <td><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-39081-5_12\" target=\"_blank\" rel=\"noopener\">Link<\/a><\/td>\n    <\/tr>\n  <\/tbody>\n<\/table>\n\n<script>\nfunction searchTable() {\n  var input, filter, table, tr, td, i, j, txtValue;\n  input = document.getElementById(\"searchInput\");\n  filter = input.value.toLowerCase();\n  table = document.getElementById(\"pubblicazioni\");\n  tr = table.getElementsByTagName(\"tr\");\n\n  for (i = 1; i < tr.length; i++) { \/\/ Salta il primo tr (header)\n    tr[i].style.display = \"none\"; \/\/ Nascondi tutte le righe\n    td = tr[i].getElementsByTagName(\"td\");\n    for (j = 0; j < td.length; j++) { \/\/ Cerca in tutte le colonne\n      if (td[j]) {\n        txtValue = td[j].textContent || td[j].innerText;\n        if (txtValue.toLowerCase().indexOf(filter) > -1) {\n          tr[i].style.display = \"\"; \/\/ Mostra la riga se trova corrispondenza\n          break; \/\/ Ferma la ricerca in questa riga\n        }\n      }\n    }\n  }\n}\n<\/script>\n\n","protected":false},"excerpt":{"rendered":"<div class=\"slide-text-bg2\">\n<h3>&lt;div class=&quot;slide-text-bg2&quot;&gt;<br \/>\n&lt;h3&gt;A list of recent and selected publications of our research group. \u00a0 Our research group has contributed extensively to the&lt;\/h3&gt;<br \/>\n&lt;\/div&gt;<br \/>\n&lt;div class=&quot;flex-btn-div&quot;&gt;&lt;a href=&quot;https:\/\/www.labdma.unina.it\/index.php\/publications\/&quot; class=&quot;btn1 flex-btn&quot;&gt;Leggi tutto&lt;\/a&gt;&lt;\/div&gt;<br \/>\n<\/h3>\n<\/div>\n<div class=\"flex-btn-div\"><a href=\"https:\/\/www.labdma.unina.it\/index.php\/publications\/\" class=\"btn1 flex-btn\">Leggi tutto<\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/pages\/62"}],"collection":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/comments?post=62"}],"version-history":[{"count":114,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/pages\/62\/revisions"}],"predecessor-version":[{"id":1409,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/pages\/62\/revisions\/1409"}],"wp:attachment":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/media?parent=62"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}