Riccardo Cantini

Orcid: 0000-0003-3053-6132

According to our database1, Riccardo Cantini authored at least 25 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Is Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models.
CoRR, July, 2025

Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge.
CoRR, April, 2025

Dynamic hashtag recommendation in social media with trend shift detection and adaptation.
CoRR, April, 2025

Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media.
Mach. Learn., January, 2025

Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback.
Online Soc. Networks Media, 2025

Detecting mental disorder on social media: A ChatGPT-augmented explainable approach.
Online Soc. Networks Media, 2025

Towards Interpretable Energy Estimation for Edge AI Applications.
Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

2024
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices.
J. Big Data, December, 2024

Block size estimation for data partitioning in HPC applications using machine learning techniques.
J. Big Data, December, 2024

Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Enhancing the Evaluation of Fault Detection Models in Smart Agriculture Using LLM Agents for Rule-Based Anomaly Generation.
Proceedings of the 1st AIxIA Workshop on Green-Aware Artificial Intelligence co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation.
Proceedings of the Discovery Science - 27th International Conference, 2024

Programming Big Data Applications - Scalable Tools and Frameworks for Your Needs
WorldScientific, ISBN: 9781800615069, 2024

2023
Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT.
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs.
ACM Trans. Knowl. Discov. Data, 2022

Analyzing voter behavior on social media during the 2020 US presidential election campaign.
Soc. Netw. Anal. Min., 2022

Programming big data analysis: principles and solutions.
J. Big Data, 2022

Block size estimation for data partitioning in HPC applications using machine learning techniques.
CoRR, 2022

Analyzing Political Polarization on Social Media by Deleting Bot Spamming.
Big Data Cogn. Comput., 2022

Topic Detection and Tracking in Social Media Platforms.
Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022

2021
A Weighted Artificial Bee Colony algorithm for influence maximization.
Online Soc. Networks Media, 2021

Exploiting Machine Learning for Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines.
Future Internet, 2021

A visual tool for reducing returns in e-commerce platforms.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

2020
Learning Political Polarization on Social Media Using Neural Networks.
IEEE Access, 2020

2019
Discovering Political Polarization on Social Media: A Case Study.
Proceedings of the 15th International Conference on Semantics, Knowledge and Grids, 2019


  Loading...