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Adriano Mancini
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Publications
- 2025
- [j59]Riccardo Rosati
, Luca Romeo, Adriano Mancini:
Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance. Comput. Ind. Eng. 200: 110763 (2025) - [j58]Nicolò Ciuccoli
, Francesco Fatone, Massimiliano Sgroi, Anna Laura Eusebi, Riccardo Rosati
, Laura Screpanti
, Adriano Mancini
, David Scaradozzi:
Forecasting and Early Warning System for Wastewater Treatment Plant Sensors Using Multitask and LSTM Neural Networks: A Simulated and Real-World Case Study. Comput. Chem. Eng. 198: 109103 (2025) - 2024
- [j49]Riccardo Rosati
, Paolo Senesi, Barbara Lonzi, Adriano Mancini, Marco Mandolini:
An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach. Adv. Eng. Informatics 62: 102848 (2024) - [j40]Luca Rossi
, Maria Chiara Fiorentino, Adriano Mancini, Marina Paolanti, Riccardo Rosati, Primo Zingaretti
:
Generalizability and robustness evaluation of attribute-based zero-shot learning. Neural Networks 175: 106278 (2024) - [c55]Riccardo Rosati, Filippo Antonini, Nikhil Muralikrishna, Flavio Tonetto, Adriano Mancini:
Improving Industrial Question Answering Chatbots with Domain-Specific LLMs Fine-Tuning. MESA 2024: 1-7 - 2023
- [j36]Víctor Manuel Vargas
, Riccardo Rosati
, César Hervás-Martínez, Adriano Mancini, Luca Romeo
, Pedro Antonio Gutiérrez
:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. Eng. Appl. Artif. Intell. 123(Part C): 106463 (2023) - [j35]Riccardo Rosati
, Luca Romeo
, Gianalberto Cecchini
, Flavio Tonetto
, Paolo Viti, Adriano Mancini, Emanuele Frontoni:
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0. J. Intell. Manuf. 34(1): 107-121 (2023) - [c47]Massimo Martini, Riccardo Rosati, Luca Romeo, Adriano Mancini:
Data augmentation strategy for generating realistic samples on defect segmentation task. ISM 2023: 1597-1606 - [i2]Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. CoRR abs/2305.10059 (2023) - 2020
- [c40]Alessandro Manilii, Leonardo Lucarelli, Riccardo Rosati
, Luca Romeo
, Adriano Mancini, Emanuele Frontoni:
3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset. ICPR Workshops (1) 2020: 14-25

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last updated on 2025-08-06 23:09 CEST by the dblp team
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