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  1. Article

    Open Access

    Boosting HPC data analysis performance with the ParSoDA-Py library

    Develo** and executing large-scale data analysis applications in parallel and distributed environments can be a complex and time-consuming task. Developers often find themselves diverted from their applicati...

    Loris Belcastro, Salvatore Giampà, Fabrizio Marozzo in The Journal of Supercomputing (2024)

  2. Article

    Open Access

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

    The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance ca...

    Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia in Journal of Big Data (2024)

  3. No Access

    Chapter

    Evaluating the Performance of a Multimodal Speaker Tracking System at the Edge-to-Cloud Continuum

    The edge-to-cloud compute continuum has become increasingly popular in recent years for effectively collecting and analyzing data generated by Internet of Things (IoT) devices at the network edge, ensuring low...

    Alessio Orsino, Riccardo Cantini, Fabrizio Marozzo in Device-Edge-Cloud Continuum (2024)

  4. No Access

    Chapter

    Deep Learning Meets Smart Agriculture: Using LSTM Networks to Handle Anomalous and Missing Sensor Data in the Compute Continuum

    In the era of the Internet of Things (IoT), conventional cloud-based solutions struggle to handle the huge amount, high velocity, and heterogeneity of data generated at the network edge. In this context, the e...

    Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino in Device-Edge-Cloud Continuum (2024)

  5. No Access

    Chapter and Conference Paper

    Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models

    Every day, more and more people harness the power of social media platforms to express their thoughts, share information and personal experiences, and engage with others. All this knowledge can then be transfo...

    Riccardo Cantini, Cristian Cosentino in Artificial Intelligence Applications and I… (2024)

  6. No Access

    Chapter and Conference Paper

    Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT

    Every day, many people use social media platforms to share information, thoughts, narratives and personal experiences. The vast volume of user-generated content offers valuable insights into the latest news an...

    Riccardo Cantini, Cristian Cosentino, Irene Kilanioti in Discovery Science (2023)

  7. No Access

    Chapter and Conference Paper

    Topic Detection and Tracking in Social Media Platforms

    The large amount of information available on the Web can be effectively exploited in several domains, ranging from opinion mining to the analysis of human dynamics and behaviors. Specifically, it can be levera...

    Riccardo Cantini, Fabrizio Marozzo in Pervasive Knowledge and Collective Intelli… (2023)

  8. Article

    Open Access

    Analyzing voter behavior on social media during the 2020 US presidential election campaign

    Every day millions of people use social media platforms by generating a very large amount of opinion-rich data, which can be exploited to extract valuable information about human dynamics and behaviors. In thi...

    Loris Belcastro, Francesco Branda, Riccardo Cantini in Social Network Analysis and Mining (2022)

  9. Article

    Open Access

    Programming big data analysis: principles and solutions

    In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security...

    Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino in Journal of Big Data (2022)

  10. No Access

    Living Reference Work Entry In depth

    Workflow Systems for Big Data Analysis

    Loris Belcastro, Fabrizio Marozzo in Encyclopedia of Big Data Technologies

  11. No Access

    Living Reference Work Entry In depth

    Cloud Computing for Big Data Analysis

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    Fabrizio Marozzo, Loris Belcastro in Encyclopedia of Big Data Technologies

  12. No Access

    Protocol

    High-Performance Framework to Analyze Microarray Data

    Pharmacogenomics is an important research field that studies the impact of genetic variation of patients on drug responses, looking for correlations between single nucleotide polymorphisms (SNPs) of patient ge...

    Fabrizio Marozzo, Loris Belcastro in Microarray Data Analysis (2022)

  13. Article

    Open Access

    Using social media for sub-event detection during disasters

    Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters...

    Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio in Journal of Big Data (2021)

  14. No Access

    Chapter and Conference Paper

    Cloud Computing for Enabling Big Data Analysis

    Every day billions of people access web sites, blogs, and social media. Often they use their mobile devices and produce huge amount of data that can be effectively exploited for extracting valuable information...

    Loris Belcastro, Fabrizio Marozzo, Domenico Talia in Cloud Computing and Services Science (2021)

  15. No Access

    Chapter and Conference Paper

    Develo** a Cloud-Based Algorithm for Analyzing the Polarization of Social Media Users

    Social media analysis is a fast growing research area aimed at extracting useful information from social media. Several opinion mining techniques have been developed for capturing the mood of social media user...

    Loris Belcastro, Fabrizio Marozzo, Domenico Talia in Algorithmic Aspects of Cloud Computing (2020)

  16. No Access

    Chapter and Conference Paper

    Discovering Travelers’ Purchasing Behavior from Public Transport Data

    In recent years, the demand for collective mobility services is characterized by a significant growth. The long-distance coach market has undergone an important change in Europe since FlixBus adopted a dynamic...

    Francesco Branda, Fabrizio Marozzo in Machine Learning, Optimization, and Data S… (2020)

  17. Chapter and Conference Paper

    A Novel Data-Centric Programming Model for Large-Scale Parallel Systems

    This paper presents the main features and the programming constructs of the DCEx programming model designed for the implementation of data-centric large-scale parallel applications on Exascale computing platforms...

    Domenico Talia, Paolo Trunfio in Euro-Par 2019: Parallel Processing Worksho… (2020)

  18. No Access

    Reference Work Entry In depth

    Cloud Computing for Big Data Analysis

    Fabrizio Marozzo, Loris Belcastro in Encyclopedia of Big Data Technologies (2019)

  19. No Access

    Reference Work Entry In depth

    Workflow Systems for Big Data Analysis

    Loris Belcastro, Fabrizio Marozzo in Encyclopedia of Big Data Technologies (2019)

  20. No Access

    Article

    ParSoDA: high-level parallel programming for social data mining

    Software systems for social data mining provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a high-level library for ...

    Loris Belcastro, Fabrizio Marozzo, Domenico Talia in Social Network Analysis and Mining (2018)

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