Riccardo Cantini

Orcid: 0000-0003-3053-6132

According to our database1, Riccardo Cantini authored at least 18 papers between 2019 and 2024.

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

Timeline

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Bibliography

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

Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation.
CoRR, 2024

Detecting mental disorder on social media: a ChatGPT-augmented explainable approach.
CoRR, 2024

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


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