A visual tool for reducing returns in e-commerce platforms. - Riccardo Cantini; Fabrizio Marozzo; Alessio Orsino; Martina Passarelli; Paolo Trunfio (RTSI, 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)

Edge Computing Solutions for Distributed Machine Learning. - Fabrizio Marozzo; Alessio Orsino; Domenico Talia; Paolo Trunfio (DASC/PiCom/CBDCom/CyberSciTech, 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)

Programming big data analysis: principles and solutions. - Loris Belcastro; Riccardo Cantini; Fabrizio Marozzo; Alessio Orsino; Domenico Talia; Paolo Trunfio (J. Big Data, 2022)

Scaling Machine Learning at the Edge-Cloud: A Distributed Computing Perspective. - Fabrizio Marozzo; Alessio Orsino; Domenico Talia; Paolo Trunfio (DCOSS-IoT, 2023)

Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility. - Loris Belcastro; Fabrizio Marozzo; Alessio Orsino; Domenico Talia; Paolo Trunfio (PDP, 2023)

Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning. - Loris Belcastro; Fabrizio Marozzo; Alessio Orsino; Domenico Talia; Paolo Trunfio (IEEE Access, 2023)

Programming Big Data Applications - Scalable Tools and Frameworks for Your Needs - Domenico Talia; Paolo Trunfio; Fabrizio Marozzo; Loris Belcastro; Riccardo Cantini; Alessio Orsino (Programming Big Data Applications, 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 (DS (1), 2024)

Developing Cross-Platform and Fast-Responsive Applications on the Edge-Cloud Continuum. - Loris Belcastro; Fabrizio Marozzo; Alessio Orsino; Aleandro Presta; Andrea Vinci (WMNC, 2024)

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices. - Hong Jia; Young Kwon; Alessio Orsino; Ting Dang; Domenico Talia; Cecilia Mascolo (NeurIPS, 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, 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, 2024)

Dynamic hashtag recommendation in social media with trend shift detection and adaptation. - Riccardo Cantini; Fabrizio Marozzo; Alessio Orsino; Domenico Talia; Paolo Trunfio (CoRR, 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 (CoRR, 2025)

Navigating the Edge-Cloud Continuum: A State-of-Practice Survey. - Loris Belcastro; Fabrizio Marozzo; Alessio Orsino; Domenico Talia; Paolo Trunfio (CoRR, 2025)

Is Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models. - Riccardo Cantini; Nicola Gabriele; Alessio Orsino; Domenico Talia (CoRR, 2025)