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ORCIDFrancesco Piccialli
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- affiliation: University of Naples Federico II, Italy
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Journal Articles
- 2025
[j123]Pian Qi, Diletta Chiaro, Francesco Piccialli
:
Small models, big impact: A review on the power of lightweight Federated Learning. Future Gener. Comput. Syst. 162: 107484 (2025)- [j122]Francesco Piccialli, Antonella Guzzo, David Camacho:
Guest Editorial for the Special Issue on Federated Learning on the Edge: Challenges and Future Directions. Future Gener. Comput. Syst. 163: 107546 (2025) - 2024
- [j121]Francesco Piccialli, Gianluigi Rozza, Giovanni Stabile:
Preface. Comput. Math. Appl. 155: 14 (2024) - [j120]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: 156-170 (2024) - [j119]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) - [j118]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: 272-293 (2024) - [j117]Francesco Piccialli, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Pian Qi:
GRAPHITE - Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency. Inf. Fusion 106: 102265 (2024) - [j116]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): 1715-1726 (2024) - [j115]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: 103926 (2024) - [j114]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: 368-379 (2024) - [j113]Francesco Piccialli, Maziar 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): 964-966 (2024) - 2023
- [j112]Pian Qi, Diletta Chiaro, Francesco Piccialli:
FL-FD: Federated learning-based fall detection with multimodal data fusion. Inf. Fusion 99: 101890 (2023) - [j111]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: 101918 (2023) - [j110]Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli:
A blockchain-based secure Internet of medical things framework for stress detection. Inf. Sci. 628: 377-390 (2023) - [j109]Víctor Rodríguez-Fernández, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho:
DeepVATS: Deep Visual Analytics for Time Series. Knowl. Based Syst. 277: 110793 (2023) - [j108]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): 15961-15965 (2023) - [j107]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): 5327-5334 (2023) - [j106]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): 2445-2456 (2023) - [j105]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): 2161-2164 (2023) - [j104]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): 6170-6181 (2023) - [j103]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): 8687-8700 (2023) - 2022
- [j102]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): 14 (2022) - [j101]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: 34-43 (2022) - [j100]Salvatore Cuomo, Federico Gatta, Fabio Giampaolo, Carmela Iorio, Francesco Piccialli:
An unsupervised learning framework for marketneutral portfolio. Expert Syst. Appl. 192: 116308 (2022) - [j99]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): 21 (2022) - [j98]Kashif Naseer Qureshi, Omprakash Kaiwartya, Gwanggil Jeon, Francesco Piccialli:
Neurocomputing for internet of things: Object recognition and detection strategy. Neurocomputing 485: 263-273 (2022) - [j97]Zhengjing Ma, Gang Mei, Francesco Piccialli:
Deep Learning for Secure Communication in Cyber-Physical Systems. IEEE Internet Things Mag. 5(2): 63-68 (2022) - [j96]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): 3433-3447 (2022) - [j95]Jingzhi Tu, Gang Mei, Francesco Piccialli:
An improved Nyström spectral graph clustering using k-core decomposition as a sampling strategy for large networks. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3673-3684 (2022) - [j94]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(10 Part A): 7920-7939 (2022) - [j93]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): 88 (2022) - [j92]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): 10449-10467 (2022) - [j91]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: 108956 (2022) - [j90]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: 5662-5673 (2022) - [j89]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): 5031-5042 (2022) - [j88]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. IEEE J. Biomed. Health Informatics 26(10): 4869-4879 (2022) - [j87]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): 3268-3280 (2022) - [j86]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): 3860-3869 (2022) - [j85]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): 8:1-8:29 (2022) - 2021
- [j84]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: 90418-90427 (2021) - [j83]Imran Ahmed, Misbah Ahmad, Gwanggil Jeon, Francesco Piccialli:
A Framework for Pandemic Prediction Using Big Data Analytics. Big Data Res. 25: 100190 (2021) - [j82]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): 373-389 (2021) - [j81]Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli:
An efficient graph clustering algorithm by exploiting k-core decomposition and motifs. Comput. Electr. Eng. 96(Part): 107564 (2021) - [j80]Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli:
Anomaly detection and trust authority in artificial intelligence and cloud computing. Comput. Networks 184: 107647 (2021) - [j79]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: 107932 (2021) - [j78]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) - [j77]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: 206-220 (2021) - [j76]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): 1253-1270 (2021) - [j75]Francesco Piccialli, Fabio Giampaolo, Alessandro Salvi, Salvatore Cuomo:
A robust ensemble technique in forecasting workload of local healthcare departments. Neurocomputing 444: 69-78 (2021) - [j74]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: 111-137 (2021) - [j73]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: 1-16 (2021) - [j72]Francesco Piccialli, Gwanggil Jeon:
Context-aware Computing for the Internet of Things. Internet Things 14: 100154 (2021) - [j71]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): 10318-10326 (2021) - [j70]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): 1467-1497 (2021) - [j69]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): 10637-10656 (2021) - [j68]Zhengjing Ma, Gang Mei, Francesco Piccialli:
Machine learning for landslides prevention: a survey. Neural Comput. Appl. 33(17): 10881-10907 (2021) - [j67]Zhihan Lv, Liang Qiao, Qingjun Wang, Francesco Piccialli:
Advanced Machine-Learning Methods for Brain-Computer Interfacing. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1688-1698 (2021) - [j66]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): 953-960 (2021) - [j65]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): 7700-7703 (2021) - [j64]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): 1777-1786 (2021) - [j63]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. IEEE Trans. Intell. Transp. Syst. 22(6): 3850-3858 (2021) - [j62]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): 28e:1-28e:7 (2021) - [j61]Zhihan Lv, Francesco Piccialli:
The Security of Medical Data on Internet Based on Differential Privacy Technology. ACM Trans. Internet Techn. 21(3): 55:1-55:18 (2021) - [j60]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): 68:1-68:21 (2021) - 2020
- [j59]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: 222859-222864 (2020) - [j58]Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
Link quality and energy utilization based preferable next hop selection routing for wireless body area networks. Comput. Commun. 149: 382-392 (2020) - [j57]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: 132 (2020) - [j56]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: 100254 (2020) - [j55]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: 103756 (2020) - [j54]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): 27-35 (2020) - [j53]Chang Choi, Francesco Piccialli, Jason J. Jung:
Internet of Knowledge. Future Gener. Comput. Syst. 102: 948-949 (2020) - [j52]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: 730-735 (2020) - [j51]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: 210-217 (2020) - [j50]Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli:
Pricing estimation of a barrier option in an IoT scenario. Future Gener. Comput. Syst. 110: 407-412 (2020) - [j49]Junchao Wang, Kaining Han, Anastasios Alexandridis, Zhiyu Chen, Zeljko Zilic, Yu Pang, Gwanggil Jeon, Francesco Piccialli:
A blockchain-based eHealthcare system interoperating with WBANs. Future Gener. Comput. Syst. 110: 675-685 (2020) - [j48]Francesco Piccialli, Salvatore Cuomo, Nik Bessis, Yuji Yoshimura:
Data Science for the Internet of Things. IEEE Internet Things J. 7(5): 4342-4346 (2020) - [j47]Imran Ahmed, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
Exploring Deep Learning Models for Overhead View Multiple Object Detection. IEEE Internet Things J. 7(7): 5737-5744 (2020) - [j46]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: 486-502 (2020) - [j45]Salvatore Cuomo, Francesco Piccialli, Federica Sica:
RBF methods in a Stochastic Volatility framework for Greeks computation. J. Comput. Appl. Math. 380: 112987 (2020) - [j44]Ahmed Fathalla, Ahmad Salah, Kenli Li, Keqin Li, Francesco Piccialli:
Deep end-to-end learning for price prediction of second-hand items. Knowl. Inf. Syst. 62(12): 4541-4568 (2020) - [j43]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): 34429-34442 (2020) - [j42]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): 7785-7801 (2020) - [j41]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): 108-115 (2020) - [j40]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: 101210 (2020) - [j39]Francesco Piccialli, Paolo Benedusi, Luca Carratore, Giocanni Colecchia:
An IoT data analytics approach for cultural heritage. Pers. Ubiquitous Comput. 24(3): 429-436 (2020) - [j38]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets. Soft Comput. 24(23): 17693-17704 (2020) - [j37]Giampaolo Casolla, Salvatore Cuomo, Vincenzo Schiano Di Cola, Francesco Piccialli:
Exploring Unsupervised Learning Techniques for the Internet of Things. IEEE Trans. Ind. Informatics 16(4): 2621-2628 (2020) - [j36]Francesco Piccialli, Nik Bessis, Jason J. Jung:
Guest Editorial: Data Science Challenges in Industry 4.0. IEEE Trans. Ind. Informatics 16(9): 5924-5928 (2020) - [j35]Mudassar Ahmad, Sohail Jabbar, Awais Ahmad, Francesco Piccialli, Gwanggil Jeon:
A Sustainable Solution to Support Data Security in High Bandwidth Healthcare Remote Locations by Using TCP CUBIC Mechanism. IEEE Trans. Sustain. Comput. 5(2): 249-259 (2020) - 2019
- [j34]Tie Qiu, Chun-Wei Tsai, Carlo Cecati, Joel J. P. C. Rodrigues, Priyanka Rawat, Houbing Song, Francesco Piccialli, Melinda Hodkiewicz:
IEEE Access Special Section Editorial: Intelligent Systems for the Internet of Things. IEEE Access 7: 146342-146347 (2019) - [j33]Flora Amato, Vincenzo Moscato, Antonio Picariello, Francesco Piccialli:
SOS: A multimedia recommender System for Online Social networks. Future Gener. Comput. Syst. 93: 914-923 (2019) - [j32]Giuseppe Caggianese, Salvatore Cuomo, Massimo Esposito, Marco Franceschini, Luigi Gallo, Francesco Infarinato, Aniello Minutolo, Francesco Piccialli, Paola Romano:
Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments. IEEE Trans. Ind. Informatics 15(1): 517-526 (2019) - 2018
- [j31]Flora Amato, Vincenzo Moscato, Antonio Picariello, Francesco Piccialli, Giancarlo Sperlì:
Centrality in heterogeneous social networks for lurkers detection: An approach based on hypergraphs. Concurr. Comput. Pract. Exp. 30(3) (2018) - [j30]Francesco Piccialli, Jason J. Jung:
Data fusion in the internet of data. Concurr. Comput. Pract. Exp. 30(15) (2018) - [j29]Francesco Piccialli, Paolo Benedusi, Flora Amato:
S-InTime: A social cloud analytical service oriented system. Future Gener. Comput. Syst. 80: 229-241 (2018) - [j28]Francesco Piccialli, Angelo Chianese:
Editorial for FGCS special issue: The Internet of Cultural Things: Towards a Smart Cultural heritage. Future Gener. Comput. Syst. 81: 514-515 (2018) - [j27]Angelo Chianese, Francesco Piccialli:
A perspective on applications of in-memory and associative approaches supporting cultural big data analytics. Int. J. Comput. Sci. Eng. 16(3): 219-233 (2018) - [j26]Angelo Chianese, Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli:
Self and social network behaviours of users in cultural spaces. Int. J. Comput. Sci. Eng. 16(3): 265-281 (2018) - [j25]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli:
A (multi) GPU iterative reconstruction algorithm based on Hessian penalty term for sparse MRI. Int. J. Grid Util. Comput. 9(2): 139-156 (2018) - [j24]Pasquale De Michele, Francesco Maiorano, Livia Marcellino, Francesco Piccialli:
A GPU Implementation of OLPCA Method in Hybrid Environment. Int. J. Parallel Program. 46(3): 528-542 (2018) - [j23]Puneet Jai Kaur, Sakshi Kaushal, Arun Kumar Sangaiah, Francesco Piccialli:
A Framework for Assessing Reusability Using Package Cohesion Measure in Aspect Oriented Systems. Int. J. Parallel Program. 46(3): 543-564 (2018) - [j22]Francesco Piccialli, Salvatore Cuomo, Gwanggil Jeon:
Parallel Approaches for Data Mining in the Internet of Things Realm. Int. J. Parallel Program. 46(5): 807-811 (2018) - [j21]Imran Ahmed, Awais Ahmad, Francesco Piccialli, Arun Kumar Sangaiah, Gwanggil Jeon:
A Robust Features-Based Person Tracker for Overhead Views in Industrial Environment. IEEE Internet Things J. 5(3): 1598-1605 (2018) - [j20]Salvatore Cuomo, Raffaele Farina, Francesco Piccialli:
An inverse Bayesian scheme for the denoising of ECG signals. J. Netw. Comput. Appl. 115: 48-58 (2018) - [j19]Francesco Piccialli, Jason J. Jung:
Towards the Internet of Data: Applications, Opportunities and Future Challenges. J. Parallel Distributed Comput. 116: 1-2 (2018) - [j18]Shahid Hussain, Jacky Keung, Arif Ali Khan, Awais Ahmad, Salvatore Cuomo, Francesco Piccialli, Gwanggil Jeon, Adnan Akhunzada:
Implications of deep learning for the automation of design patterns organization. J. Parallel Distributed Comput. 117: 256-266 (2018) - [j17]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli, Arun Kumar Sangaiah:
Reproducing dynamics related to an Internet of Things framework: A numerical and statistical approach. J. Parallel Distributed Comput. 118(Part): 359-368 (2018) - 2017
- [j16]Francesco Piccialli, Angelo Chianese:
A location-based IoT platform supporting the cultural heritage domain. Concurr. Comput. Pract. Exp. 29(11) (2017) - [j15]Francesco Piccialli, Angelo Chianese, Jason J. Jung:
Cultural Heritage on Internet of Things (IoT) systems: Trends and challenges. Concurr. Comput. Pract. Exp. 29(11) (2017) - [j14]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli, Ardelio Galletti, Jai E. Jung:
IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario. Expert Syst. Appl. 79: 101-111 (2017) - [j13]Angelo Chianese, Fiammetta Marulli, Francesco Piccialli, Paolo Benedusi, Jai E. Jung:
An associative engines based approach supporting collaborative analytics in the Internet of cultural things. Future Gener. Comput. Syst. 66: 187-198 (2017) - [j12]Angelo Chianese, Francesco Piccialli:
SmaCH: an infrastructure for smart cultural heritage environments. Int. J. Ad Hoc Ubiquitous Comput. 26(3): 185-204 (2017) - [j11]Pang-Wei Tsai, Francesco Piccialli, Chun-Wei Tsai, Mon-Yen Luo, Chu-Sing Yang:
Control frameworks in network emulation testbeds: A survey. J. Comput. Sci. 22: 148-161 (2017) - [j10]Francesco Piccialli, Angelo Chianese:
The Internet of Things Supporting Context-Aware Computing: A Cultural Heritage Case Study. Mob. Networks Appl. 22(2): 332-343 (2017) - [j9]Francesco Piccialli, Jai E. Jung:
Understanding Customer Experience Diffusion on Social Networking Services by Big Data Analytics. Mob. Networks Appl. 22(4): 605-612 (2017) - [j8]Francesco Piccialli, Fiammetta Marulli, Angelo Chianese:
A novel approach for automatic text analysis and generation for the cultural heritage domain. Multim. Tools Appl. 76(8): 10389-10406 (2017) - [j7]Murad Khan, Sadia Din, Moneeb Gohar, Awais Ahmad, Salvatore Cuomo, Francesco Piccialli, Gwanggil Jeon:
Enabling multimedia aware vertical handover Management in Internet of Things based heterogeneous wireless networks. Multim. Tools Appl. 76(24): 25919-25941 (2017) - [j6]Francesco Piccialli, Angelo Chianese:
Cultural heritage and new technologies: trends and challenges. Pers. Ubiquitous Comput. 21(2): 187-189 (2017) - [j5]Min-Sung Hong, Jason J. Jung, Francesco Piccialli, Angelo Chianese:
Social recommendation service for cultural heritage. Pers. Ubiquitous Comput. 21(2): 191-201 (2017) - 2016
- [j4]Angelo Chianese, Francesco Piccialli:
A smart system to manage the context evolution in the Cultural Heritage domain. Comput. Electr. Eng. 55: 27-38 (2016) - [j3]Angelo Chianese, Fiammetta Marulli, Francesco Piccialli:
Sensitivity Mining in Social Pulses to Address Cultural Heritage Competitive Intelligence. Int. J. Knowl. Soc. Res. 7(2): 40-56 (2016) - 2015
- [j2]Angelo Chianese, Francesco Piccialli, Isabella Valente:
Smart environments and Cultural Heritage: a novel approach to create intelligent cultural spaces. J. Locat. Based Serv. 9(3): 209-234 (2015) - 2014
- [j1]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli:
3D Data Denoising via Nonlocal Means Filter by Using Parallel GPU Strategies. Comput. Math. Methods Medicine 2014: 523862:1-523862:14 (2014)
Conference and Workshop Papers
- 2024
- [c50]Stefano Izzo, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli:
SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning. ICDCSW 2024: 23-28 - [c49]Diletta Chiaro, Fabio Giampaolo, Sara Amitrano, Francesco Piccialli:
FLOWS: Federated Learning Optimization With Sinkhorn. ISCC 2024: 1-6 - [c48]Daniela Annunziata, Marzia Canzaniello, Martina Savoia, Salvatore Cuomo, Francesco Piccialli:
Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact. PDP 2024: 207-214 - [c47]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: 230-237 - [c46]Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli:
KAFÈ: Kernel Aggregation for FEderated. ECML/PKDD (4) 2024: 56-71 - 2023
- [c45]Diletta Chiaro, Daniela Annuziata, Stefano Izzo, Francesco Piccialli:
Unveiling engagement in virtual classrooms: a multimodal analysis. IEEE Big Data 2023: 4761-4769 - [c44]Pian Qi, Fabio Giampaolo, Edoardo Prezioso, Francesco Piccialli:
Unsupervised Learning for Depth Estimation in Unstructured Environments. IEEE Big Data 2023: 5102-5109 - [c43]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: 651-658 - [c42]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: 738-746 - [c41]Rokas Gipiskis, Diletta Chiaro, Daniela Annunziata, Francesco Piccialli:
Ablation Studies in Activation Maps for Explainable Semantic Segmentation in Industry 4.0. EUROCON 2023: 36-41 - [c40]Edoardo Prezioso, Fabio Giampaolo, Stefano Izzo, Martina Savoia, Francesco Piccialli:
Integrating Object Detection and Advanced Analytics for Smart City Crowd Management. ICNSC 2023: 1-6 - [c39]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: 701-703 - [c38]Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli:
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. IJCNN 2023: 1-7 - [c37]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: 185-192 - [c36]Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo:
Modelling the COVID-19 infection rate through a Physics-Informed learning approach. PDP 2023: 212-218 - 2022
- [c35]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: 1-8 - [c34]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: 1-10 - [c33]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: 497-506 - [c32]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: 115-126 - 2021
- [c31]Yuting Yang, Gang Mei, Francesco Piccialli:
Explainable Deep Learning Models on the Diagnosis of Pneumonia. CHASE 2021: 134-138 - 2019
- [c30]Daeun Dana Kim, Muhammad Tanseef Shahid, Yunseong Kim, Won Jun Lee, Hyun Chul Song, Francesco Piccialli, Kwang Nam Choi:
Generating Pedestrian Training Dataset using DCGAN. ICAIP 2019: 1-4 - [c29]Chan Yong Kim, Hyojin Kim, Huiseung Son, Muhammad Tanseef Shahid, Hyun Chul Song, Francesco Piccialli, Kwang Nam Choi:
Marker Based Pedestrian Detection Using Augmented Reality. ICAIP 2019: 19-22 - [c28]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. NUMTA(1) 2019: 122-130 - 2018
- [c27]Salvatore Cuomo, Francesco Maiorano, Francesco Piccialli:
Remarks of Social Data Mining Applications in the Internet of Data. NBiS 2018: 944-951 - [c26]Salvatore Cuomo, Giocanni Colecchia, Francesco Piccialli, Francesco Maiorano:
Traditional and Deep Learning Approaches to Information and Influence Propagation in Social Networks. SITIS 2018: 480-484 - 2017
- [c25]Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli:
Remarks on a computational estimator for the barrier option pricing in an IoT scenario. EUSPN/ICTH 2017: 513-518 - [c24]Jae-Hong Park, O-Joun Lee, Joo-Man Han, Eon-Ji Lee, Jason J. Jung, Luca Carratore, Francesco Piccialli:
Spatio-Temporal Contextualization of Queries for Microtexts in Social Media: Mathematical Modeling. EUSPN/ICTH 2017: 525-530 - 2016
- [c23]Angelo Chianese, Paolo Benedusi, Francesco Piccialli:
Designing a Service Oriented System for social analytics. 3PGCIC 2016: 699-705 - [c22]Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli:
Handling Uncertainty in Clustering Art-Exhibition Visiting Styles. BDTA 2016: 54-63 - [c21]Angelo Chianese, Francesco Piccialli:
A Service Oriented Framework for Analysing Social Network Activities. EUSPN/ICTH 2016: 509-514 - [c20]Angelo Chianese, Fiammetta Marulli, Francesco Piccialli:
Cultural Heritage and Social Pulse: A Semantic Approach for CH Sensitivity Discovery in Social Media Data. ICSC 2016: 459-464 - [c19]Angelo Chianese, Francesco Piccialli, Jay E. Jung:
The Internet of Cultural Things: Towards a Smart Cultural Heritage. SITIS 2016: 493-496 - 2015
- [c18]Angelo Chianese, Paolo Benedusi, Fiammetta Marulli, Francesco Piccialli:
An Associative Engines Based Approach Supporting Collaborative Analytics in the Internet of Cultural Things. 3PGCIC 2015: 533-538 - [c17]Salvatore Cuomo, Pasquale De Michele, Ardelio Galletti, Francesco Piccialli:
A Cultural Heritage Case Study of Visitor Experiences Shared on a Social Network. 3PGCIC 2015: 539-544 - [c16]Salvatore Cuomo, Antonella Olivo, Pasquale De Michele, Francesco Piccialli, Vincenzo Schiano Di Cola, Ennio Del Giudice:
A Mathematical Formulation for Estimating Age Levels in the Carolina Curriculum. HEALTHINF 2015: 260-267 - [c15]Angelo Chianese, Francesco Piccialli, Giuseppe Riccio:
The TrUST Project: Improving the Fruition of Historical Centres through Smart Objects. EUSPN/ICTH 2015: 159-164 - [c14]Angelo Chianese, Francesco Piccialli, Giuseppe Riccio:
SMuNe: A Smart Multisensor Network Based on Embedded Systems in IoT Environment. SITIS 2015: 841-848 - 2014
- [c13]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli, Antonella Olivo, Ennio Del Giudice:
CarolApp - A Mobile e-Health Software Project for Remote Monitoring of Children enrolled in the Carolina Curriculum. HEALTHINF 2014: 473-477 - [c12]Angelo Chianese, Francesco Piccialli:
Modelling the context evolution in Cultural Heritage domain: A graph approach. ICCASA 2014: 31-36 - [c11]Angelo Chianese, Francesco Piccialli:
Designing a Smart Museum: When Cultural Heritage Joins IoT. NGMAST 2014: 300-306 - [c10]Angelo Chianese, Vincenzo Moscato, Francesco Piccialli, Isabella Valente:
A location-based smart application applied to cultural heritage environments. SEBD 2014: 335-344 - [c9]Angelo Chianese, Francesco Piccialli:
SmaCH: A Framework for Smart Cultural Heritage Spaces. SITIS 2014: 477-484 - 2013
- [c8]Flora Amato, Angelo Chianese, Antonino Mazzeo, Vincenzo Moscato, Antonio Picariello, Francesco Piccialli:
The Talking Museum Project. EUSPN/ICTH 2013: 114-121 - [c7]Giuseppe Palma, Francesco Piccialli, Pasquale De Michele, Salvatore Cuomo, Marco Comerci, Pasquale Borrelli, Bruno Alfano:
3D Non-Local Means denoising via multi-GPU. FedCSIS 2013: 495-498 - [c6]Francesco Piccialli, Salvatore Cuomo, Pasquale De Michele:
A Regularized MRI Image Reconstruction based on Hessian Penalty Term on CPU/GPU Systems. ICCS 2013: 2643-2646 - [c5]Emanuele Nicastro, Francesco Piccialli, Andrea Lo Vecchio, Alfredo Guarino, Salvatore Cuomo:
Mobile learning for clinical practice guidelines implementation: a medical app for pediatric acute gastroenteritis. PETRA 2013: 43:1-43:4 - [c4]Angelo Chianese, Fiammetta Marulli, Francesco Piccialli, Isabella Valente:
A Novel Challenge into Multimedia Cultural Heritage: An Integrated Approach to Support Cultural Information Enrichment. SITIS 2013: 217-224 - [c3]Angelo Chianese, Fiammetta Marulli, Vincenzo Moscato, Francesco Piccialli:
SmARTweet: A Location-Based Smart Application for Exhibits and Museums. SITIS 2013: 408-415 - 2012
- [c2]Salvatore Cuomo, Aniello Murano, Francesco Piccialli, Ennio Del Giudice:
A social network framework for the Carolina software. PETRA 2012: 34 - 2011
- [c1]Salvatore Cuomo, Aniello Murano, Francesco Piccialli:
The C@Rolin@ Software - A System for Monitoring Skills Development of Children with Down Syndrome. HEALTHINF 2011: 180-185
Informal and Other Publications
- 2024
- [i10]Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Francesco Piccialli:
Green Federated Learning: A new era of Green Aware AI. CoRR abs/2409.12626 (2024) - 2023
- [i9]Víctor Rodríguez-Fernández, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho:
DeepVATS: Deep Visual Analytics for Time Series. CoRR abs/2302.03858 (2023) - 2022
- [i8]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. CoRR abs/2201.05624 (2022) - [i7]Yue Lu, Gang Mei, Francesco Piccialli:
A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN). CoRR abs/2205.05710 (2022) - 2021
- [i6]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 abs/2105.13125 (2021) - [i5]Jingzhi Tu, Gang Mei, Francesco Piccialli:
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving. CoRR abs/2109.02629 (2021) - [i4]Francesco Calabrò, Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti:
Deep Learning for the Approximation of a Shape Functional. CoRR abs/2110.02112 (2021) - 2020
- [i3]Kaifeng Gao, Jingzhi Tu, Zenan Huo, Gang Mei, Francesco Piccialli, Salvatore Cuomo:
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues. CoRR abs/2003.10146 (2020) - [i2]Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli:
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs. CoRR abs/2008.10380 (2020) - 2019
- [i1]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. CoRR abs/1908.03690 (2019)
Coauthor Index
[j116] [j114] [j111] [j101] [j100] [j96] [j94] [j93] [j75] [j74] [j70] [j60] [j56] [j54] [j52] [j51] [j50] [j48] [j45] [j43] [j42] [j38] [j37] [j32] [j26] [j25] [j22] [j20] [j18] [j17] [j14] [j7] [j1] [c48] [c42] [c37] [c36] [c35] [c34] [c33] [c32] [c28] [c27] [c26] [c25] [c22] [c17] [c16] [c13] [c7] [c6] [c5] [c2] [c1] [i8] [i6] [i4] [i3] [i1]
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