World's Best Scientists 2026 revealed!
Dino Pedreschi

Dino Pedreschi

Award Badge
Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
22080
World Ranking
1666
National Ranking
21

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Dino Pedreschi is affiliated with the University of Pisa in Italy and specializes in research at the intersection of computer science and social sciences. Their work prominently covers artificial intelligence, with significant contributions in explainable artificial intelligence (XAI), human mobility, and machine learning applied to healthcare and social contexts.

The main fields of study that frame Pedreschi's research include:

  • Computer Science
  • Social Sciences

Within these broader domains, their subfields of focus are:

  • Artificial Intelligence
  • Transportation
  • Sociology and Political Science
  • Statistical and Nonlinear Physics
  • Orthopedics and Sports Medicine

Pedreschi's primary research topics cover a range of areas, emphasizing explainability, human-centered analysis, and healthcare applications in AI:

  • Explainable Artificial Intelligence (XAI)
  • Human Mobility and Location-Based Analysis
  • Machine Learning in Healthcare
  • Machine Learning and Data Classification
  • Adversarial Robustness in Machine Learning
  • Artificial Intelligence in Healthcare and Education
  • COVID-19 epidemiological studies

Their recent publications include:

  • 'Benchmarking and survey of explanation methods for black box models,' 2023, Data Mining and Knowledge Discovery
  • 'Methods and tools for causal discovery and causal inference,' 2022, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • 'GLocalX - From Local to Global Explanations of Black Box AI Models,' 2021, Artificial Intelligence
  • 'Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems,' 2022, CHI Conference on Human Factors in Computing Systems
  • 'Human migration: the big data perspective,' 2020, International Journal of Data Science and Analytics

Frequent collaborators in their research include:

  • Fosca Giannotti
  • Riccardo Guidotti
  • Luca Pappalardo
  • Anna Monreale
  • Mirco Nanni

A number of venues have hosted Pedreschi's work, highlighting their interdisciplinary engagement, particularly in computer science and data science disciplines:

  • arXiv (Cornell University)
  • International Journal of Data Science and Analytics
  • Ethics and Information Technology
  • CINECA IRIS Institutional Research Information System (University of Pisa)
  • SSRN Electronic Journal

In addition to journal articles and conference papers, Pedreschi has contributed to books published by notable publishers. These include titles addressing social informatics and factors affecting performance and recovery in team sports.

Best Publications

  • A Survey of Methods for Explaining Black Box Models

    Riccardo Guidotti;Anna Monreale;Salvatore Ruggieri;Franco Turini

  • Trajectory pattern mining

    Fosca Giannotti;Mirco Nanni;Fabio Pinelli;Dino Pedreschi

  • Human mobility, social ties, and link prediction

    Dashun Wang;Dino Pedreschi;Chaoming Song;Fosca Giannotti

  • Time-focused clustering of trajectories of moving objects

    Mirco Nanni;Dino Pedreschi

  • Returners and explorers dichotomy in human mobility

    Luca Pappalardo;Filippo Simini;Salvatore Rinzivillo;Dino Pedreschi;Dino Pedreschi

  • A classification for community discovery methods in complex networks

    Michele Coscia;Fosca Giannotti;Dino Pedreschi

  • Unveiling the complexity of human mobility by querying and mining massive trajectory data

    Fosca Giannotti;Mirco Nanni;Dino Pedreschi;Fabio Pinelli

  • Mobility, Data Mining and Privacy: Geographic Knowledge Discovery

    Fosca Giannotti;Dino Pedreschi

  • A Survey Of Methods For Explaining Black Box Models

    Riccardo Guidotti;Anna Monreale;Franco Turini;Dino Pedreschi

  • Machine Learning, ECML 2004

    Jean-François Boulicaut;Floriana Esposito;Fosca Giannotti;Dino Pedreschi

  • Factual and Counterfactual Explanations for Black Box Decision Making

    Riccardo Guidotti;Anna Monreale;Fosca Giannotti;Dino Pedreschi

  • Local Rule-Based Explanations of Black Box Decision Systems.

    Riccardo Guidotti;Anna Monreale;Salvatore Ruggieri;Dino Pedreschi

  • Interactive visual clustering of large collections of trajectories

    Gennady Andrienko;Natalia Andrienko;Salvatore Rinzivillo;Mirco Nanni

  • DEMON: a local-first discovery method for overlapping communities

    Michele Coscia;Giulio Rossetti;Fosca Giannotti;Dino Pedreschi

  • Visually driven analysis of movement data by progressive clustering

    Salvatore Rinzivillo;Dino Pedreschi;Mirco Nanni;Fosca Giannotti

  • Knowledge Discovery in Databases: PKDD 2004

    Jean-François Boulicaut;Floriana Esposito;Fosca Giannotti;Dino Pedreschi

  • Mobility, Data Mining and Privacy

    Fosca Giannotti;Dino Pedreschi

  • Reasoning about termination of pure Prolog programs

    Krzysztof R. Apt;Dino Pedreschi

  • Measuring Discrimination in Socially-Sensitive Decision Records

    Dino Pedreschi;Salvatore Ruggieri;Franco Turini

  • PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach

    Luca Pappalardo;Paolo Cintia;Paolo Ferragina;Emanuele Massucco

  • Data mining for discrimination discovery

    Salvatore Ruggieri;Dino Pedreschi;Franco Turini

Frequent Co-Authors

Fosca Giannotti
Fosca Giannotti Scuola Normale Superiore di Pisa
Francesco Bonchi
Francesco Bonchi Institute for Scientific Interchange
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Paolo Ferragina
Paolo Ferragina University of Pisa
Krzysztof R. Apt
Krzysztof R. Apt Centrum Wiskunde & Informatica
Stan Matwin
Stan Matwin Dalhousie University
Josep Domingo-Ferrer
Josep Domingo-Ferrer Rovira i Virgili University
János Kertész
János Kertész Central European University
Dirk Helbing
Dirk Helbing ETH Zurich

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree opens doors to a variety of specialized online programs and career paths. Students now have more choices than ever, thanks to the flexibility and accessibility of the best online schools in the USA. These institutions provide quality education that fits different schedules and lifestyles.

Beyond traditional computer science, aspiring professionals can explore other fields connected to technology and innovation. For example, those interested in the gaming industry can enroll in a game art degree online, which enhances both creative and technical skills. Cybersecurity is another high-demand sector, and an online cybersecurity degree can provide the necessary expertise to protect organizations from digital threats.

Additionally, technology is transforming fields like construction management. Professionals looking to advance in this area can pursue a masters in construction management to combine technical skills with industry leadership. Each of these online degrees offers unique career pathways and supports the evolving needs of today’s job market.

Best Scientists Citing Dino Pedreschi

Trending Scientists