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2020 – today
- 2024
[j31]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)- [j30]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) - [c16]Stefano Izzo, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli:
SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning. ICDCSW 2024: 23-28 - [c15]Diletta Chiaro, Fabio Giampaolo, Sara Amitrano, Francesco Piccialli:
FLOWS: Federated Learning Optimization With Sinkhorn. ISCC 2024: 1-6 - [c14]Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli:
KAFÈ: Kernel Aggregation for FEderated. ECML/PKDD (4) 2024: 56-71 - 2023
- [j29]Salvatore Cuomo, Mariapia De Rosa, Fabio Giampaolo, Stefano Izzo, Vincenzo Schiano Di Cola:
Solving groundwater flow equation using physics-informed neural networks. Comput. Math. Appl. 145: 106-123 (2023) - [j28]Diletta Chiaro, Edoardo Prezioso, Michele Ianni, Fabio Giampaolo:
FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples. Inf. Fusion 98: 101836 (2023) - [j27]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) - [j26]Edoardo Prezioso, Fabio Giampaolo, Carlo Mazzocca, Armir Bujari, Valeria Mele, Flora Amato:
Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario. IEEE Internet Things J. 10(4): 3107-3117 (2023) - [j25]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) - [j24]Federico Gatta, Carmela Iorio, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo:
Statistical arbitrage in the stock markets by the means of multiple time horizons clustering. Neural Comput. Appl. 35(16): 11713-11731 (2023) - [j23]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) - [j22]Vincenzo Schiano Di Cola, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo:
Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning. IEEE J. Biomed. Health Informatics 27(10): 4649-4659 (2023) - [c13]Pian Qi, Fabio Giampaolo, Edoardo Prezioso, Francesco Piccialli:
Unsupervised Learning for Depth Estimation in Unstructured Environments. IEEE Big Data 2023: 5102-5109 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli:
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. IJCNN 2023: 1-7 - [c7]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 - [c6]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
- [j21]Fabio Giampaolo, Mariapia De Rosa, Pian Qi, Stefano Izzo, Salvatore Cuomo:
Physics-informed neural networks approach for 1D and 2D Gray-Scott systems. Adv. Model. Simul. Eng. Sci. 9(1): 5 (2022) - [j20]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) - [j19]Salvatore Cuomo, Federico Gatta, Fabio Giampaolo, Carmela Iorio, Francesco Piccialli:
An unsupervised learning framework for marketneutral portfolio. Expert Syst. Appl. 192: 116308 (2022) - [j18]Omer Deperlioglu, Utku Kose, Deepak Gupta, Ashish Khanna, Fabio Giampaolo, Giancarlo Fortino:
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation. Future Gener. Comput. Syst. 129: 152-169 (2022) - [j17]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) - [j16]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) - [j15]Stefano Izzo, Edoardo Prezioso, Fabio Giampaolo, Valeria Mele, Vittorio Di Somma, Gang Mei:
Classification of urban functional zones through deep learning. Neural Comput. Appl. 34(9): 6973-6990 (2022) - [j14]Avishek Garain, Biswarup Ray, Fabio Giampaolo, Juan D. Velásquez, Pawan Kumar Singh, Ram Sarkar:
GRaNN: feature selection with golden ratio-aided neural network for emotion, gender and speaker identification from voice signals. Neural Comput. Appl. 34(17): 14463-14486 (2022) - [j13]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) - [c5]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 - [c4]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 - [c3]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 - [c2]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 - [i2]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) - 2021
- [j12]Francesco Piccialli, Fabio Giampaolo, Alessandro Salvi, Salvatore Cuomo:
A robust ensemble technique in forecasting workload of local healthcare departments. Neurocomputing 444: 69-78 (2021) - [j11]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) - [j10]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) - [j9]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) - [j8]Avishek Garain, Arpan Basu, Fabio Giampaolo, Juan D. Velásquez, Ram Sarkar:
Detection of COVID-19 from CT scan images: A spiking neural network-based approach. Neural Comput. Appl. 33(19): 12591-12604 (2021) - [j7]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) - [i1]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
- [j6]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) - [j5]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) - [j4]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) - [j3]Zenan Huo, Gang Mei, Giampaolo Casolla, Fabio Giampaolo:
Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia. J. Parallel Distributed Comput. 138: 211-221 (2020) - [j2]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) - [j1]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)
2010 – 2019
- 2019
- [c1]Salvatore Cuomo, Fabio Giampaolo, Gerardo Severino:
A Travelling Wave Solution for Nonlinear Colloid Facilitated Mass Transport in Porous Media. NUMTA(1) 2019: 103-108
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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