Alessio Orsino

According to our database, Alessio Orsino authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dynamic Hashtag Recommendation in Social Media With Trend Shift Detection and Adaptation.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

IEEE Trans. Comput. Soc. Syst., April, 2026

Navigating the Edge-Cloud Continuum: A State-of-Practice Survey.

Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

IEEE Access, 2026

2025

Benchmarking adversarial robustness to bias elicitation in large language models: scalable automated assessment with LLM-as-a-judge.

Riccardo Cantini, Alessio Orsino, Massimo Ruggiero, Domenico Talia

Mach. Learn., November, 2025

Reproducibility Report for SC25 Paper MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories.

Alessio Orsino

Proceedings of the International Conference for High Performance Computing, 2025

Advancing green and fair AI: a research perspective on environmental and social sustainability.

Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Towards Interpretable Energy Estimation for Edge AI Applications.

Riccardo Cantini, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

Is Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models.

Riccardo Cantini, Nicola Gabriele, Alessio Orsino, Domenico Talia

Proceedings of the 3rd Workshop on Fairness and Bias in AI co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

A Parameter-Efficient Approach to Distilling Large Language Models via Meta-learning.

Riccardo Cantini, Nicola Gabriele, Alessio Orsino

Proceedings of the New Trends in Database and Information Systems, 2025

2024

Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices.

Riccardo Cantini, Alessio Orsino, Domenico Talia

J. Big Data, December, 2024

Block size estimation for data partitioning in HPC applications using machine learning techniques.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez-Novoa

J. Big Data, December, 2024

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices.

Hong Jia, Young D. Kwon, Alessio Orsino, Ting Dang, Domenico Talia, Cecilia Mascolo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Developing Cross-Platform and Fast-Responsive Applications on the Edge-Cloud Continuum.

Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Aleandro Presta, Andrea Vinci

Proceedings of the 15th IFIP Wireless and Mobile Networking Conference, 2024

Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation.

Riccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia

Proceedings of the Discovery Science - 27th International Conference, 2024

Programming Big Data Applications - Scalable Tools and Frameworks for Your Needs

Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Riccardo Cantini, Alessio Orsino

WorldScientific, ISBN: 9781800615069, 2024

2023

Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning.

Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

IEEE Access, 2023

Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility.

Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Scaling Machine Learning at the Edge-Cloud: A Distributed Computing Perspective.

Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

2022

Programming big data analysis: principles and solutions.

Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

J. Big Data, 2022

Block size estimation for data partitioning in HPC applications using machine learning techniques.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez

CoRR, 2022

Edge Computing Solutions for Distributed Machine Learning.

Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Exploiting Machine Learning for Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Future Internet, 2021

A visual tool for reducing returns in e-commerce platforms.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Martina Passarelli, Paolo Trunfio

Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021