Publications

(2024). Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback. Online Social Networks and Media, vol. 45, 2024.

DOI

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

(2024). Unmasking Deception: A Topic-Oriented Multimodal Approach to Uncover False Information on Social Media. Machine Learning, 2024 (to appear).

Project

(2024). Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation. 27th International Conference on Discovery Science (DS2024), October 2024 (to appear).

Project

(2024). Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation. arXiv:2407.08441, 2024.

DOI Project

(2024). Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models. International Conference on Artificial Intelligence Applications and Innovations (AIAI2024), June 2024, pp. 100-114.

DOI

(2024). XAI-driven Knowledge Distillation of Large Language Models for Efficient Deployment on Low-Resource Devices. Journal of Big Data, vol. 11, no. 1, 2024.

DOI Project

(2024). Detecting mental disorder on social media: a ChatGPT-augmented explainable approach. arXiv:2401.17477, 2024.

DOI Project

(2024). Block size estimation for data partitioning in HPC applications using machine learning techniques. Journal of Big Data, vol. 11, no. 1, 2024.

DOI Project

(2023). Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT. 26th International Conference on Discovery Science (DS2023), Lecture Notes in Computer Science, vol 14276, October 2023, pp. 126-140.

Slides DOI

(2023). Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs. World Scientific, 2023, ISBN: 978-1-80061-504-5.

DOI Website Buy Amazon

(2023). Evaluating the performance of a multimodal speaker tracking system at the edge-to-cloud continuum. Device-Edge-Cloud Continuum - Paradigms, Architectures and Applications, pp. 155-166, 2023.

DOI

(2023). Deep learning meets smart agriculture: using LSTM networks to handle anomalous and missing sensor data in the compute continuum. Device-Edge-Cloud Continuum - Paradigms, Architectures and Applications, pp. 141-153, 2023.

DOI

(2022). Topic Detection and Tracking in Social Media Platforms. EAI International Conference on Pervasive knowledge and collective intelligence on Web and Social Media, November 2022. Springer Nature, 2023, pp. 41–56.

Slides DOI

(2022). Analyzing voter behavior on social media during the 2020 US presidential election campaign. Social Network Analysis and Mining, vol. 12, no. 1, 2022.

DOI Dataset News

(2022). Programming Big Data Analysis: Principles and Solutions. Journal of Big Data, vol. 9, no. 1, 2022.

DOI

(2022). Knowledge Discovery From Large Amounts Of Social Media Data. Applied Sciences, vol.12, no. 3, 2022.

DOI

(2022). Analyzing Political Polarization on Social Media by Deleting Bot Spamming. Big Data and Cognitive Computing, vol.6, no. 1, 2022.

DOI Cover Story Editor's choice

(2021). A Weighted Artificial Bee Colony Algorithm for Influence Maximization. Online Social Networks and Media, vol. 26, p. 100167, 2021.

DOI Project

(2021). A visual tool for reducing returns in e-commerce platforms. 6th International Research and Technologies for Society and Industry Innovation for a smart world (IEEE RTSI 2021), September 2021. IEEE, 2021, pp. 474–479.

DOI

(2021). Learning sentence-to-hashtags semantic mapping for hashtag recommendation on microblogs. ACM Transactions on Knowledge Discovery from Data, vol. 16, no. 2, Sep. 2021.

DOI Project

(2021). Exploiting Machine Learning For Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines. Future Internet, vol. 13, no. 5, 2021.

DOI Dataset

(2020). Learning Political Polarization on Social Media Using Neural Networks. IEEE Access, vol. 8, pp. 47177-47187, 2020.

DOI Project

(2019). Discovering Political Polarization on Social Media: A Case Study. 15th International Conference on Semantics, Knowledge and Grids (SKG19), September, 2019. IEEE, 2019, pp. 182-189.

DOI