D. Pedreschi

发表

Franco Turini, Dino Pedreschi, Salvatore Ruggieri, 2008, KDD.

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 2007, KDD '07.

Interactive visual clustering of large collections of trajectories

Dino Pedreschi, Fosca Giannotti, Gennady L. Andrienko, 2009, 2009 IEEE Symposium on Visual Analytics Science and Technology.

Time-focused density-based clustering of trajectories of moving objects

D. Pedreschi, M. Nanni, M. Dauria, 1986 .

Spatiotemporal Data Mining

Dino Pedreschi, Bart Kuijpers, Mirco Nanni, 2008, Mobility, Data Mining and Privacy.

Discovery of ads web hosts through traffic data analysis

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 2004, DMKD '04.

Anonymity preserving pattern discovery

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2008, The VLDB Journal.

Spatio-temporal Data Mining

Dino Pedreschi, Bart Kuijpers, Mirco Nanni, 2008, Encyclopedia of GIS.

DCUBE: discrimination discovery in databases

Franco Turini, Dino Pedreschi, Salvatore Ruggieri, 2010, SIGMOD Conference.

Modular logic programming

Antonio Brogi, Franco Turini, Paolo Mancarella, 1994, TOPL.

Composition Operators for Logic Theories

D. Pedreschi, F. Turini, A. Brogi, 1990 .

Small Area Model-Based Estimators Using Big Data Sources

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2015 .

Toward AI Systems that Augment and Empower Humans by Understanding Us , our Society and the World Around Us

J. Shawe-Taylor, F. V. Harmelen, C. Jonker, 2019 .

C-safety: a framework for the anonymization of semantic trajectories

Vania Bogorny, Anna Monreale, Dino Pedreschi, 2011, Trans. Data Priv..

Information Diffusion in Complex Networks: The Active/Passive Conundrum

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, COMPLEX NETWORKS.

Universit a Di Pisa Veriication of Logic Programs Veriication of Logic Programs

D. Pedreschi, S. Ruggieri, 2007 .

Veriication of Meta-interpreters

Dino Pedreschi, Salvatore Ruggieri, D. Pedreschi, 1997 .

Next Basket Prediction using Recurring Sequential Patterns

D. Pedreschi, F. Giannotti, L. Pappalardo, 2017, ArXiv.

A modularized framework for explaining hierarchical attention networks on text classifiers

Stan Matwin, Anna Monreale, Dino Pedreschi, 2021, Canadian Conference on AI.

Clusters of investors around initial public offering

F. Lillo, D. Pedreschi, J. Kanniainen, 2019, Palgrave Communications.

Discovery of uninteresting web sites through traffic data analysis ∗

D. Pedreschi, F. Giannotti, M. Nanni, 2004 .

Introduction to the special issue on social mining and big data ecosystem for open, responsible data science

Dino Pedreschi, Luca Pappalardo, Valerio Grossi, 2021, Int. J. Data Sci. Anal..

Measuring the Salad Bowl: Superdiversity on Twitter

D. Pedreschi, F. Giannotti, A. Sîrbu, 2022, ArXiv.

A study of top-k measures for discrimination discovery

Franco Turini, Dino Pedreschi, Salvatore Ruggieri, 2012, SAC '12.

Opening the black box: a primer for anti-discrimination

D. Pedreschi, S. Ruggieri, F. Giannotti, 2021 .

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

Konstantinos F. Xylogiannopoulos, Shou-de Lin, N. Agarwal, 2015, ASONAM.

Logic-Based Knowledge Discovery in Databases

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 2000, EJC.

Privacy and Anonymity in Location and Movement-aware Data Analysis - the GeoPKDD Approach

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2007 .

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations

Stan Matwin, Anna Monreale, Dino Pedreschi, 2020, AAAI.

IT4PS: information technology for problem solving

Maria Simi, Dino Pedreschi, Nello Scarabottolo, 2004, ITiCSE '04.

Universal Quantification by Case Analysis

Antonio Brogi, Franco Turini, Paolo Mancarella, 1990, ECAI.

Theory Construction in Computational Logic

Antonio Brogi, Franco Turini, Paolo Mancarella, 1993, ICLP Workshop on Construction of Logic Programs.

Integration of Deduction and Induction for Mining Supermarket Sales Data

Franco Turini, Dino Pedreschi, Fosca Giannotti, 1999, Sistemi Evoluti per Basi di Dati.

First Interdisciplinary Workshop on Mobility, Data Mining and Privacy. Preserving anonymity in geographically referenced data.

Giusella Dolores Finocchiaro, Franco Turini, Dino Pedreschi, 2007 .

The Type System of LML

Franco Turini, Dino Pedreschi, Bruno Bertolino, 1992, Types in Logic Programming.

A Progress Report on the LML Project

Franco Turini, Paolo Mancarella, Dino Pedreschi, 1988, FGCS.

A Study on Parameter Estimation for a Mining Flock Algorithm

D. Pedreschi, M. Nanni, M. Wachowicz, 2013 .

Universit a Di Pisa on Logic Programs That Do Not Fail on Logic Programs That Do Not Fail

D. Pedreschi, S. Ruggieri, 1997 .

The Inductive Constraint Programming Loop: Extended Abstract

Luc De Raedt, Barry O'Sullivan, Dino Pedreschi, 2016 .

Frequent Pattern Queries with Optimized Constraint-pushing Operational Semantics

D. Pedreschi, F. Giannotti, F. Bonchi, 2004 .

Preprocessing for Frequent Pattern Mining through Data Reduction

D. Pedreschi, F. Giannotti, F. Bonchi, 2004 .

WebCat: Automatic Categorization of Web Search Results

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 2003, SEBD.

ExAnte: Method for Frequent- Pattern Mining

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2005 .

A Complexity Science Perspective on Human Mobility

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2013, Mobility Data.

Anonymous Sequences from Trajectory Data

Ruggero G. Pensa, Anna Monreale, Dino Pedreschi, 2009, SEBD.

A Word About Terminology

D. Pedreschi, M. Gabbrielli, 2019, Clinical Simulation.

Explaining Black Box with Visual Exploration of Latent Space

D. Pedreschi, F. Giannotti, W. Aigner, 2022, EuroVis.

The Web Object Store: an infrastructure for mining semantics from web resources and their usage

D. Pedreschi, F. Giannotti, M. Nanni, 2005 .

Non-determinism in Deductive Databases - Preface

V. S. Subrahmanian, Dino Pedreschi, D. Pedreschi, 1997, Ann. Math. Artif. Intell..

Proceedings, Part III, of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9286

Jaime S. Cardoso, Myra Spiliopoulou, Dino Pedreschi, 2015 .

Towards mega-modeling: a walk through data analysis experiences

Dino Pedreschi, Emanuele Della Valle, Stefano Ceri, 2013, SGMD.

Dense Hebbian Neural Networks: A Replica Symmetric Picture of Supervised Learning

A. Barra, E. Agliari, D. Pedreschi, 2022, SSRN Electronic Journal.

Fair pattern discovery

Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, 2014, SAC.

Discovering Mobility Functional Areas: A Mobility Data Analysis Approach

Giulio Rossetti, Fosca Giannotti, Lorenzo Gabrielli, 2018 .

PlayeRank: Multi-dimensional and role-aware rating of soccer player performance pdf

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2018, ArXiv.

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts

Davide Morelli, Dino Pedreschi, Alessio Rossi, 2020, Sensors.

PlayeRank

D. Pedreschi, F. Giannotti, P. Ferragina, 2019, ACM Transactions on Intelligent Systems and Technology.

PlayeRank

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2018, ACM Trans. Intell. Syst. Technol..

Behavioral entropy and profitability in retail

Dino Pedreschi, Riccardo Guidotti, Michele Coscia, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Clustering Formulation Using Constraint Optimization

Franco Turini, Anna Monreale, Dino Pedreschi, 2015, SEFM Workshops.

Human migration: the big data perspective

Cristina Ioana Muntean, D. Pedreschi, F. Giannotti, 2020, International Journal of Data Science and Analytics.

Human migration: the big data perspective

Dino Pedreschi, Cristina Ioana Muntean, Fosca Giannotti, 2020, International Journal of Data Science and Analytics.

FairLens: Auditing Black-box Clinical Decision Support Systems pdf

Dino Pedreschi, Alan Perotti, Cecilia Panigutti, 2020, Inf. Process. Manag..

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy

P. Vineis, S. Merler, D. Pedreschi, 2020, ArXiv.

Privacy-Preserving Distributed Movement Data Aggregation

Wendy Hui Wang, Francesca Pratesi, Anna Monreale, 2013, AGILE Conf..

High Quality True-Positive Prediction for Fiscal Fraud Detection

Dino Pedreschi, Fosca Giannotti, Stefano Basta, 2009, 2009 IEEE International Conference on Data Mining Workshops.

FuturICT — The road towards ethical ICT

Josep Domingo-Ferrer, Dirk Helbing, Dino Pedreschi, 2012, The European Physical Journal Special Topics.

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown pdf

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2020, ArXiv.

Extracting and Inferring Communities via Link Analysis

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Node-centric Community Discovery: From static to dynamic social network analysis

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, Online Soc. Networks Media.

Tiles: an online algorithm for community discovery in dynamic social networks

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, Machine Learning.

Homophilic network decomposition: a community-centric analysis of online social services

Dino Pedreschi, Giulio Rossetti, Marlon Dumas, 2016, Social Network Analysis and Mining.

An analytical framework to nowcast well-being using mobile phone data

Zbigniew Smoreda, Dino Pedreschi, Fosca Giannotti, 2016, International Journal of Data Science and Analytics.

Uncovering Hierarchical and Overlapping Communities with a Local-First Approach

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2014, TKDD.

A planetary nervous system for social mining and collective awareness

Paul Lukowicz, Alex Pentland, Dirk Helbing, 2012, ArXiv.

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

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2012, KDD.

Discovering the Geographical Borders of Human Mobility

Dino Pedreschi, Fosca Giannotti, Fabio Pezzoni, 2012, KI - Künstliche Intelligenz.

A classification for community discovery methods in complex networks pdf

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2011, Stat. Anal. Data Min..

Multidimensional networks: foundations of structural analysis

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2013, World Wide Web.

Data science at SoBigData: the European research infrastructure for social mining and big data analytics

D. Pedreschi, F. Giannotti, Valerio Grossi, 2018, International Journal of Data Science and Analytics.

The pursuit of hubbiness: Analysis of hubs in large multidimensional networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2011, J. Comput. Sci..

Foundations of Multidimensional Network Analysis

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Efficient breadth-first mining of frequent pattern with monotone constraints

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2005, Knowledge and Information Systems.

Data mining for discrimination discovery

Franco Turini, Dino Pedreschi, Salvatore Ruggieri, 2010, TKDD.

Integrating induction and deduction for finding evidence of discrimination

Franco Turini, Dino Pedreschi, Salvatore Ruggieri, 2009, Artificial Intelligence and Law.

Active and passive diffusion processes in complex networks

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2018, Applied Network Science.

Data science: a game changer for science and innovation

Paolo Manghi, Pasquale Pagano, Dino Pedreschi, 2021, International Journal of Data Science and Analytics.

(So) Big Data and the transformation of the city

Dino Pedreschi, Cristina Ioana Muntean, Fosca Giannotti, 2020, International Journal of Data Science and Analytics.

Driving Profiles Computation and Monitoring for Car Insurance CRM

Anna Monreale, Dino Pedreschi, Roberto Trasarti, 2016, ACM Trans. Intell. Syst. Technol..

A supervised approach for intra-/inter-community interaction prediction in dynamic social networks

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2016, Social Network Analysis and Mining.

Stable and actionable explanations of black-box models through factual and counterfactual rules

D. Pedreschi, S. Ruggieri, F. Turini, 2022, Data Mining and Knowledge Discovery.

Personal Analytics and Privacy. An Individual and Collective Perspective

Serge Abiteboul, Anna Monreale, Dino Pedreschi, 2017, Lecture Notes in Computer Science.

Predicting seasonal influenza using supermarket retail records pdf

Alessandro Vespignani, Dino Pedreschi, Giulio Rossetti, 2020, PLoS Comput. Biol..

Ethics of Smart Cities: Towards Value-Sensitive Design and Co-Evolving City Life

D. Helbing, D. Pedreschi, F. Giannotti, 2021, Sustainability.

Intensional Negation of Logic Programs: Examples and Implementation Techniques

Franco Turini, Roberto Barbuti, Paolo Mancarella, 1987, TAPSOFT, Vol.2.

Returners and explorers dichotomy in human mobility

Dino Pedreschi, Fosca Giannotti, Albert-László Barabási, 2015, Nature Communications.

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

Dino Pedreschi, Fosca Giannotti, Chiara Renso, 2011, The VLDB Journal.

A Survey of Methods for Explaining Black Box Models

Franco Turini, Anna Monreale, Dino Pedreschi, 2018, ACM Comput. Surv..

Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning

D. Pedreschi, F. Giannotti, M. Nanni, 2020, ECML/PKDD.

Factual and Counterfactual Explanations for Black Box Decision Making

Franco Turini, Anna Monreale, Dino Pedreschi, 2019, IEEE Intelligent Systems.

Methods and tools for causal discovery and causal inference

Ana Rita Nogueira, D. Pedreschi, S. Ruggieri, 2022, WIREs Data Mining Knowl. Discov..

Local Rule-Based Explanations of Black Box Decision Systems pdf

Franco Turini, Anna Monreale, Dino Pedreschi, 2018, ArXiv.

The retail market as a complex system

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2014, EPJ Data Science.

Authenticated Outlier Mining for Outsourced Databases

Boxiang Dong, Anna Monreale, Dino Pedreschi, 2020, IEEE Transactions on Dependable and Secure Computing.

AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems

Wendy Hui Wang, Anna Monreale, Dino Pedreschi, 2012, ECML/PKDD.

Data Science for Simulating the Era of Electric Vehicles

Davy Janssens, Dino Pedreschi, Fosca Giannotti, 2012, KI - Künstliche Intelligenz.

Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions

Anna Monreale, Dino Pedreschi, Luca Pappalardo, 2018, BMC Gastroenterology.

The retail market as a complex system

D. Pedreschi, F. Giannotti, S. Rinzivillo, 2014, EPJ Data Science.

Understanding the patterns of car travel

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2013 .

Human mobility, social ties, and link prediction

Dino Pedreschi, Fosca Giannotti, Albert-László Barabási, 2011, KDD.

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Stan Matwin, Anna Monreale, Dino Pedreschi, 2019, ECML/PKDD.

Benchmarking and survey of explanation methods for black box models

D. Pedreschi, F. Giannotti, S. Rinzivillo, 2021, Data Mining and Knowledge Discovery.

Using big data to study the link between human mobility and socio-economic development

Zbigniew Smoreda, Dino Pedreschi, Fosca Giannotti, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Quantification Trees

Fabrizio Sebastiani, Anna Monreale, Dino Pedreschi, 2013, 2013 IEEE 13th International Conference on Data Mining.

Mega-modeling for Big Data Analytics

Dino Pedreschi, Emanuele Della Valle, Stefano Ceri, 2012, ER.

GLocalX - From Local to Global Explanations of Black Box AI Models pdf

Franco Turini, Anna Monreale, Dino Pedreschi, 2021, Artif. Intell..

Discrimination- and privacy-aware patterns

Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, 2014, Data Mining and Knowledge Discovery.

The Declarative Side of Magic

Dino Pedreschi, Paolo Mascellani, D. Pedreschi, 2002, Computational Logic: Logic Programming and Beyond.

Nondeterministic, Nonmonotonic Logic Databases

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 2001, IEEE Trans. Knowl. Data Eng..

Integration of Syrian Refugees: Insights from D4R, Media Events and Housing Market Data

Hillel Rapoport, Dino Pedreschi, Fosca Giannotti, 2019, Data for Refugees Challenge.

Discovering temporal regularities in retail customers’ shopping behavior

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2018, EPJ Data Science.

Clustering Individual Transactional Data for Masses of Users

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2017, KDD.

Going Beyond GDP to Nowcast Well-Being Using Retail Market Data

Dino Pedreschi, Riccardo Guidotti, Michele Coscia, 2016, NetSci-X.

PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2018, Trans. Data Priv..

Privacy Preserving Multidimensional Profiling

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2017, GOODTECHS.

Privacy-by-design in big data analytics and social mining

D. Pedreschi, F. Giannotti, S. Rinzivillo, 2014, EPJ Data Science.

Visually driven analysis of movement data by progressive clustering

Dino Pedreschi, Fosca Giannotti, Gennady L. Andrienko, 2008, Inf. Vis..

There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas

Dino Pedreschi, Fosca Giannotti, Roberto Trasarti, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Never drive alone: Boosting carpooling with network analysis

Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, 2017, Inf. Syst..

The purpose of motion: Learning activities from Individual Mobility Networks

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Experiences with a Logic-based knowledge discovery Support Environment

Franco Turini, Dino Pedreschi, Fosca Giannotti, 1999, 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

A classification-based methodology for planning audit strategies in fraud detection

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 1999, KDD '99.

Social Informatics: 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, Proceedings

Dino Pedreschi, Fosca Giannotti, Frank Dignum, 2020, SocInfo.

Meaningful Explanations of Black Box AI Decision Systems

Franco Turini, Anna Monreale, Dino Pedreschi, 2019, AAAI.

Doctor XAI: an ontology-based approach to black-box sequential data classification explanations

Dino Pedreschi, Alan Perotti, Cecilia Panigutti, 2020, FAT*.

Principles of Explainable Artificial Intelligence

D. Pedreschi, F. Giannotti, A. Monreale, 2021, Explainable AI Within the Digital Transformation and Cyber Physical Systems.

Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining

Ruggero G. Pensa, Anna Monreale, Dino Pedreschi, 2008, PiLBA.

Measuring tie strength in multidimensional networks

Dino Pedreschi, Giulio Rossetti, Luca Pappalardo, 2013, SEBD.

"How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks

Dino Pedreschi, Giulio Rossetti, Luca Pappalardo, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2019, IEEE Transactions on Knowledge and Data Engineering.

Studies in Pure Prolog: Termination

Dino Pedreschi, Krzysztof R. Apt, D. Pedreschi, 1990 .

Web log data warehousing and mining for intelligent web caching

Dino Pedreschi, Fosca Giannotti, Chiara Renso, 2001, Data Knowl. Eng..

Estimating Economic Development with Mobile Phone Data

Dino Pedreschi, Luca Pappalardo, D. Pedreschi, 2015 .

Explaining Any Time Series Classifier

Anna Monreale, Fosca Giannotti, Riccardo Guidotti, 2020, 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI).

A public data set of spatio-temporal match events in soccer competitions

D. Pedreschi, F. Giannotti, P. Ferragina, 2019, Scientific Data.

Human Perception of Performance pdf

Dino Pedreschi, Fosca Giannotti, Albert-László Barabási, 2017, ArXiv.

The harsh rule of the goals: Data-driven performance indicators for football teams

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

"Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance

Dino Pedreschi, Luca Pappalardo, Paolo Cintia, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Ethical, Societal and Legal Issues in Deep Learning for Healthcare

D. Pedreschi, Cecilia Panigutti, A. Monreale, 2022, Deep Learning in Biology and Medicine.

The Type System of Galileo

Renzo Orsini, Dino Pedreschi, Fosca Giannotti, 1988, Data Types and Persistence , Informal Proceedings.

Measuring Discrimination in Socially-Sensitive Decision Records

Franco Turini, Dino Pedreschi, Salvatore Ruggieri, 2009, SDM.

A Deductive Data Model for Representing and Querying Semistructured Data

Dino Pedreschi, Fosca Giannotti, Giuseppe Manco, 1997, APPIA-GULP-PRODE.

Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases

Carlo Zaniolo, Dino Pedreschi, Fosca Giannotti, 2001, J. Comput. Syst. Sci..

On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 1998, CSL.

Query Answering in Nondeterministic, Nonmonotonic Logic Databases

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 1998, FQAS.

Datalog with Non-Deterministic Choice Computers NDB-PTIME

Dino Pedreschi, Fosca Giannotti, D. Pedreschi, 1998, J. Log. Program..

Expressive Power of Non-Deterministic Operators for Logic-based Languages

Carlo Zaniolo, Dino Pedreschi, Fosca Giannotti, 1994, Workshop on Deductive Databases and Logic Programming.

Datalog with Non-Deterministic Choice Computes NDB-PTIME

Dino Pedreschi, Fosca Giannotti, Luca Corciulo, 1993, DOOD.

Non-Determinism in Deductive Databases

Carlo Zaniolo, Dino Pedreschi, Fosca Giannotti, 1991, DOOD.

Çò Øøø «« Blockinøøú Ëëññòøø Blockin× Óó Aeóòòòøøöññòò×øø Blockin¸ Aeóòñóòóøóòò Blockin¸ Ìñôóööð Äóóó Øøøø×××

D. Pedreschi, F. Giannotti, M. Nanni, 2022 .

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment pdf

Dirk Helbing, Josep Domingo-Ferrer, Alex Pentland, 2020, Ethics and Information Technology.

A Relational Query Primitive for Constraint-Based Pattern Mining

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2004, Constraint-Based Mining and Inductive Databases.

Open the Black Box Data-Driven Explanation of Black Box Decision Systems pdf

Franco Turini, Anna Monreale, Dino Pedreschi, 2018, ArXiv.

A Closer Look at Declarative Interpretations

Maurizio Gabbrielli, Dino Pedreschi, Krzysztof R. Apt, 1994, J. Log. Program..

Technical Report: Privacy-preserving Outsourcing of Association Rule Mining

D. Pedreschi, F. Giannotti, L. Lakshmanan, 2009 .

Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases

Laks V. S. Lakshmanan, Wendy Hui Wang, Anna Monreale, 2013, IEEE Systems Journal.

Anonymity preserving sequential pattern mining

Ruggero G. Pensa, Anna Monreale, Dino Pedreschi, 2014, Artificial Intelligence and Law.

10 Mobility Data & Privacy

D. Pedreschi, F. Giannotti, A. Monreale, 2012 .

Movement data anonymity through generalization

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2009, SPRINGL '09.

Mobility, Data Mining and Privacy - Geographic Knowledge Discovery

Dino Pedreschi, Fosca Giannotti, D. Pedreschi, 2008, Mobility, Data Mining and Privacy.

Time-focused clustering of trajectories of moving objects

Dino Pedreschi, Mirco Nanni, D. Pedreschi, 2006, Journal of Intelligent Information Systems.

Blocking anonymity threats raised by frequent itemset mining

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

k-Anonymous Patterns

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2005, PKDD.

Privacy-Preserving Data Mining from Outsourced Databases

Laks V. S. Lakshmanan, Wendy Hui Wang, Anna Monreale, 2011, Computers, Privacy and Data Protection.

A Generalisation-based Approach to Anonymising Movement Data

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010 .

A risk model for privacy in trajectory data

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2015, Journal of Trust Management.

A Privacy Risk Model for Trajectory Data

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2014, IFIPTM.

The italian music superdiversity

D. Pedreschi, F. Giannotti, Laura Pollacci, 2018, Multimedia Tools and Applications.

Towards a Social Artificial Intelligence

F. Dignum, D. Pedreschi, Valentina Pansanella, 2021, ACAI.

ExAMiner: optimized level-wise frequent pattern mining with monotone constraints

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2003, Third IEEE International Conference on Data Mining.

Forecasting success via early adoptions analysis: A data-driven study

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, PloS one.

Efficient Mining of Temporally Annotated Sequences

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 2006, SDM.

Frequent Pattern Queries for Flexible Knowledge Discovery

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2004, Sistemi Evoluti per Basi di Dati.

NDlib: a python library to model and analyze diffusion processes over complex networks

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, International Journal of Data Science and Analytics.

NDlib: Studying Network Diffusion Dynamics

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

The Inductive Constraint Programming Loop

Luc De Raedt, Barry O'Sullivan, Dino Pedreschi, 2015, IEEE Intelligent Systems.

Machine Learning: ECML 2004

Dino Pedreschi, Floriana Esposito, Fosca Giannotti, 2004, Lecture Notes in Computer Science.

How routing strategies impact urban emissions

D. Pedreschi, M. Nanni, L. Pappalardo, 2022, SIGSPATIAL/GIS.

Transparent Latent Space Counterfactual Explanations for Tabular Data

D. Pedreschi, F. Giannotti, Riccardo Guidotti, 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).

Effects of Route Randomization on Urban Emissions

D. Pedreschi, M. Nanni, L. Pappalardo, 2023, SUMO Conference Proceedings.

Social AI and the Challenges of the Human-AI Ecosystem

J. Shawe-Taylor, A. Barabasi, Alessandro Vespignani, 2023, ArXiv.

Dense Hebbian Neural Networks: A Replica Symmetric Picture of Unsupervised Learning

A. Barra, E. Agliari, D. Pedreschi, 2022, SSRN Electronic Journal.

Mining efficient training patterns of non-professional cyclists

Dino Pedreschi, Luca Pappalardo, Paolo Cintia, 2014, SEBD.

Correction to: Human migration: the big data perspective

Marco Conti, Francesca Pratesi, Dino Pedreschi, 2021, International Journal of Data Science and Analysis.

Explaining the product range effect in purchase data

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2013, 2013 IEEE International Conference on Big Data.

Quantification in social networks

Fabrizio Sebastiani, Anna Monreale, Dino Pedreschi, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Co-design of Human-centered, Explainable AI for Clinical Decision Support

D. Pedreschi, F. Giannotti, S. Rinzivillo, 2023, ACM Trans. Interact. Intell. Syst..

ExAnte: a preprocessing method for frequent-pattern mining

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2005, IEEE Intelligent Systems.

Knowledge Discovery in Databases: PKDD 2004

Dino Pedreschi, Floriana Esposito, Fosca Giannotti, 2004, Lecture Notes in Computer Science.

Classes of terminating logic programs

Dino Pedreschi, Jan-Georg Smaus, Salvatore Ruggieri, 2001, Theory and Practice of Logic Programming.

Characterisations of Termination in Logic Programming

Dino Pedreschi, Jan-Georg Smaus, Salvatore Ruggieri, 2004, Program Development in Computational Logic.

Data Mining and Constraints: An Overview

Franco Turini, Dino Pedreschi, Valerio Grossi, 2016, Data Mining and Constraint Programming.

Reasoning about Termination of Pure Prolog Programs

Dino Pedreschi, Krzysztof R. Apt, D. Pedreschi, 1993, Inf. Comput..

Benchmark Analysis of Black Box Local Explanation Methods

D. Pedreschi, F. Giannotti, F. Bodria, 2022, XAI.it@AI*IA.

Privacy-Aware Distributed Mobility Data Analytics

Wendy Hui Wang, Francesca Pratesi, Anna Monreale, 2013, SEBD.

Advances in Network Science

Ulrik Brandes, Adam Wierzbicki, Dino Pedreschi, 2016, Lecture Notes in Computer Science.

Discovering temporal regularities in retail customers’ shopping behavior

D. Pedreschi, F. Giannotti, L. Gabrielli, 2018, EPJ Data Science.

The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, GOODTECHS.

Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Evolving networks: Eras and turning points

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2013, Intell. Data Anal..

Interaction prediction in dynamic networks exploiting community discovery

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Data Mining and Constraint Programming

Luc De Raedt, Barry O'Sullivan, Dino Pedreschi, 2016, Lecture Notes in Computer Science.

Explaining Multi-label Black-Box Classifiers for Health Applications

Anna Monreale, Dino Pedreschi, Riccardo Guidotti, 2019, Precision Health and Medicine.

Dense Hebbian Neural Networks: A Replica Symmetric Picture of Supervised Learning

A. Barra, E. Agliari, D. Pedreschi, 2022, SSRN Electronic Journal.

Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model

Dino Pedreschi, Fosca Giannotti, Alina Sîrbu, 2018, PloS one.

As Time Goes by: Discovering Eras in Evolving Social Networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010, PAKDD.

Towards discovery of eras in social networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

Discovering Eras in Evolving Social Networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010 .

Unveiling mobility complexity through complex network analysis

D. Pedreschi, F. Giannotti, S. Rinzivillo, 2016, Social Network Analysis and Mining.

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

A. Vespignani, D. Helbing, K. Morik, 2020, Ethics and Information Technology.

Diffusive Phenomena in Dynamic Networks: A Data-Driven Study

Giulio Rossetti, Fosca Giannotti, Letizia Milli, 2018 .

Discrimination- and privacy-aware patterns

J. Domingo-Ferrer, D. Pedreschi, F. Giannotti, 2015, Data Mining and Knowledge Discovery.

Big Data Research in Italy: A Perspective

Michelangelo Ceci, Donato Malerba, Gabriella Pasi, 2016 .

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science

Andrea Esuli, Claudio Gennaro, Fabrizio Sebastiani, 2018, A Comprehensive Guide Through the Italian Database Research.

Injecting Discrimination and Privacy Awareness Into Pattern Discovery

Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

The Discovery of Discrimination

Franco Turini, Dino Pedreschi, Salvatore Ruggieri, 2013, Discrimination and Privacy in the Information Society.

2015 Ieee International Conference on Big Data (big Data) City Users' Classification with Mobile Phone Data

Dino Pedreschi, Fosca Giannotti, Roberto Trasarti, 2022 .

Causal inference for social discrimination reasoning

D. Pedreschi, S. Ruggieri, F. Kamiran, 2016, Journal of Intelligent Information Systems.

A public data set of spatio-temporal match events in soccer competitions

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2019, Scientific Data.

Proving Termination of General Prolog Programs

Dino Pedreschi, Krzysztof R. Apt, D. Pedreschi, 1991, TACS.

Foundations of distributed interaction systems

V. S. Subrahmanian, Dino Pedreschi, Mirco Nanni, 2000, Annals of Mathematics and Artificial Intelligence.

Verification of Logic Programs

Dino Pedreschi, Salvatore Ruggieri, D. Pedreschi, 1999, J. Log. Program..

Universit a Di Pisa Modular Veriication of Logic Programs Modular Veriication of Logic Programs

D. Pedreschi, S. Ruggieri, 2007 .

A Transformational Approach to Negation in Logic Programming

Franco Turini, Roberto Barbuti, Paolo Mancarella, 1990, J. Log. Program..

An Algebra of Logic Programs

Paolo Mancarella, Dino Pedreschi, D. Pedreschi, 1988, ICLP/SLP.

Meta for Modularising Logic Programming

Antonio Brogi, Franco Turini, Paolo Mancarella, 1992, META.

Implementations of Program Composition Operations

Antonio Brogi, Franco Turini, Paolo Mancarella, 1994, PLILP.

Anonymity Technologies for Privacy-Preserving Data Publishing and Mining

Anna Monreale, Dino Pedreschi, Ruggero G. Pensa, 2010 .

On logic programs that always succeed

Dino Pedreschi, Salvatore Ruggieri, D. Pedreschi, 2003, Sci. Comput. Program..

Weakest Preconditions for Pure Prolog Programs

Dino Pedreschi, Salvatore Ruggieri, D. Pedreschi, 1998, Inf. Process. Lett..

A Closer Look at Declarative Interpretations

D. Pedreschi, M. Gabbrielli, Krzysztof R. Apt, 1994, J. Log. Program..

A Word on Terminology

D. Pedreschi, M. Gabbrielli, 2005 .

Mobility Data and Privacy

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2013, Mobility Data.

Understanding Any Time Series Classifier with a Subsequence-based Explainer

D. Pedreschi, F. Giannotti, M. Nanni, 2023, ACM Trans. Knowl. Discov. Data.

Homophilic network decomposition: a community-centric analysis of online social services

D. Pedreschi, F. Giannotti, R. Kikas, 2016, Social Network Analysis and Mining.

Community-centric analysis of user engagement in Skype social network

Dino Pedreschi, Giulio Rossetti, Marlon Dumas, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Towards Democratic Group Detection in Complex Networks

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2012, SBP.

Human-AI Coevolution

J. Shawe-Taylor, Alessandro Vespignani, F. Dignum, 2023, 2306.13723.

AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems

D. Pedreschi, F. Giannotti, Roberto Pellungrini, 2024, ArXiv.

An ethico-legal framework for social data science

Dino Pedreschi, Stefanie Hänold, Iryna Lishchuk, 2020, International Journal of Data Science and Analytics.

Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases

Jean-François Boulicaut, Dino Pedreschi, Floriana Esposito, 2004 .

Privacy-by-design in big data analytics and social mining

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2014, EPJ Data Science.