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2020 – today
- 2024
[b1]Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Riccardo Cantini
, Alessio Orsino:
Programming Big Data Applications - Scalable Tools and Frameworks for Your Needs. WorldScientific 2024, ISBN 9781800615045, pp. 1-296- [j5]Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez-Novoa:
Block size estimation for data partitioning in HPC applications using machine learning techniques. J. Big Data 11(1): 19 (2024) - [j4]Riccardo Cantini, Alessio Orsino, Domenico Talia:
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices. J. Big Data 11(1): 63 (2024) - [i2]Riccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia:
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation. CoRR abs/2407.08441 (2024) - 2023
- [j3]Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning. IEEE Access 11: 38864-38874 (2023) - [c4]Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Scaling Machine Learning at the Edge-Cloud: A Distributed Computing Perspective. DCOSS-IoT 2023: 761-767 - [c3]Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility. PDP 2023: 338-344 - 2022
- [j2]Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Programming big data analysis: principles and solutions. J. Big Data 9(1): 4 (2022) - [c2]Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Edge Computing Solutions for Distributed Machine Learning. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [i1]Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez:
Block size estimation for data partitioning in HPC applications using machine learning techniques. CoRR abs/2211.10819 (2022) - 2021
- [j1]Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Exploiting Machine Learning for Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines. Future Internet 13(5): 121 (2021) - [c1]Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Martina Passarelli, Paolo Trunfio:
A visual tool for reducing returns in e-commerce platforms. RTSI 2021: 474-479
Coauthor Index
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