S. Ruggieri

Evangelos Pournaras, Josef Spillner, Pradeep Ravikumar, 2018, 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W).

Engineering information abstract (Part I)Standard reference model for intelligent multimedia presentation systems

Thomas Rist, Mark T. Maybury, Steven K. Feiner, 1999 .

Open Research Online Bias in data-driven artiﬁcial intelligence systems - An introductory survey

Bettina Berendt, K. Kinder-Kurlanda, Eirini Ntoutsi, 2022 .

AUC-based Selective Classification

S. Ruggieri, Andrea Pugnana, 2022, 2210.10703.

A complexity perspective on entailment of parameterized linear constraints

S. Ruggieri, P. Wojciechowski, K. Subramani, 2012, Constraints.

Segregation discovery in a social network of companies

S. Ruggieri, A. Baroni, 2015, Journal of Intelligent Information Systems.

Data Anonymity Meets Non-discrimination

Salvatore Ruggieri, S. Ruggieri, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Estimating the Total Volume of Queries to a Search Engine

Fabrizio Lillo, Salvatore Ruggieri, F. Lillo, 2021, IEEE Transactions on Knowledge and Data Engineering.

Estimating the Total Volume of Queries to Google

Fabrizio Lillo, Salvatore Ruggieri, F. Lillo, 2019, WWW.

A multidisciplinary survey on discrimination analysis

Salvatore Ruggieri, Andrea Romei, S. Ruggieri, 2013, The Knowledge Engineering Review.

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.

A Case Study in Sequential Pattern Mining for IT-Operational Risk

Salvatore Ruggieri, Valerio Grossi, Andrea Romei, 2008, ECML/PKDD.

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.

Enumerating Distinct Decision Trees

Salvatore Ruggieri, S. Ruggieri, 2017, ICML.

YaDT: yet another decision tree builder

Salvatore Ruggieri, S. Ruggieri, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars

Salvatore Ruggieri, Riccardo Guidotti, Orestis Lampridis, 2020, DS.

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.

Bias in Data-driven AI Systems - An Introductory Survey pdf

Steffen Staab, Franco Turini, Thanassis Tiropanis, 2020, ArXiv.

Efficiently Clustering Very Large Attributed Graphs

Alessio Conte, Maurizio Patrignani, Salvatore Ruggieri, 2017, 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Bias in data‐driven artificial intelligence systems—An introductory survey

Steffen Staab, Franco Turini, Thanassis Tiropanis, 2020, WIREs Data Mining Knowl. Discov..

k-NN as an implementation of situation testing for discrimination discovery and prevention

Franco Turini, Salvatore Ruggieri, Binh Luong Thanh, 2011, KDD.

Fairness Implications of Encoding Protected Categorical Attributes

Gourab K. Patro, J. Álvarez, Steffen Staab, 2022, AIES.

Meaningful Explanations of Black Box AI Decision Systems

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

Porting Decision Tree Building and Pruning Algorithms to Multicore using FastFlow

Massimo Torquati, Marco Aldinucci, Salvatore Ruggieri, 2011 .

Web log data warehousing and mining for intelligent web caching

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

Introduction to The Special Section on Bias and Fairness in AI

Bodo Rosenhahn, Mykola Pechenizkiy, Salvatore Ruggieri, 2021, SIGKDD Explor..

Discrimination Data Analysis: A Multi-disciplinary Bibliography

Salvatore Ruggieri, Andrea Romei, S. Ruggieri, 2013, Discrimination and Privacy in the Information Society.

Measuring Discrimination in Socially-Sensitive Decision Records

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

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.

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

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

Porting Decision Tree Algorithms to Multicore using FastFlow

Massimo Torquati, Marco Aldinucci, Salvatore Ruggieri, 2010, ECML/PKDD.

The layered structure of company share networks

Franco Turini, Salvatore Ruggieri, Andrea Romei, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Anti-discrimination Analysis Using Privacy Attack Strategies

Xiangliang Zhang, Sara Hajian, Salvatore Ruggieri, 2014, ECML/PKDD.

Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference

S. Ruggieri, J. Álvarez, 2023, ArXiv.

On The Stability of Interpretable Models

Riccardo Guidotti, Salvatore Ruggieri, S. Ruggieri, 2018, 2019 International Joint Conference on Neural Networks (IJCNN).

Ensemble of Counterfactual Explainers

Riccardo Guidotti, Salvatore Ruggieri, S. Ruggieri, 2023, DS.

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.

Complete Search for Feature Selection in Decision Trees

Salvatore Ruggieri, S. Ruggieri, 2019, J. Mach. Learn. Res..

Sequential Pattern Mining for ICT Risk Assessment and Prevention

Fabrizio Baiardi, Salvatore Ruggieri, Federico Tonelli, 2017, SEFM Workshops.

Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset

Lucia C. Passaro, S. Ruggieri, Riccardo Guidotti, 2022, NLPERSPECTIVES.

Using t-closeness anonymity to control for non-discrimination

Salvatore Ruggieri, S. Ruggieri, 2015, Trans. Data Priv..

Sequential pattern mining for ICT risk assessment and management

Fabrizio Baiardi, Salvatore Ruggieri, Federico Tonelli, 2019, J. Log. Algebraic Methods Program..

Achieving quality in natural language requirements

Vincenzo Gervasi, Stefania Gnesi, Fabrizio Fabbrini, 1998 .

Assessing the Stability of Interpretable Models pdf

Riccardo Guidotti, Salvatore Ruggieri, S. Ruggieri, 2018, ArXiv.

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.

Discrimination discovery in scientific project evaluation: A case study

Franco Turini, Salvatore Ruggieri, Andrea Romei, 2013, Expert Syst. Appl..

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.

The Discovery of Discrimination

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

On quantified linear implications

K. Subramani, Salvatore Ruggieri, Pavlos Eirinakis, 2014, Annals of Mathematics and Artificial Intelligence.

Learning from Polyhedral Sets

Salvatore Ruggieri, S. Ruggieri, 2013, IJCAI.

Deciding Membership in a Class of Polyhedra

Salvatore Ruggieri, S. Ruggieri, 2012, ECAI.

Typing linear constraints

Frédéric Mesnard, Salvatore Ruggieri, S. Ruggieri, 2010, TOPL.

Variable ranges in linear constraints

Frédéric Mesnard, Salvatore Ruggieri, S. Ruggieri, 2010, SAC '10.

On proving left termination of constraint logic programs

Frédéric Mesnard, Salvatore Ruggieri, S. Ruggieri, 2003, TOCL.

Computational complexity of inclusion queries over polyhedral sets

K. Subramani, Salvatore Ruggieri, Pavlos Eirinakis, 2012, ISAIM.

KDDML: A middleware language and system for knowledge discovery in databases

Franco Turini, Salvatore Ruggieri, Andrea Romei, 2006, Data Knowl. Eng..

Causal Discrimination Discovery Through Propensity Score Analysis

S. Ruggieri, F. Kamiran, Bilal Qureshi, 2016, ArXiv.

A Model-Agnostic Heuristics for Selective Classification

S. Ruggieri, Andrea Pugnana, 2023, AAAI.

AUC-based Selective Classification

S. Ruggieri, Andrea Pugnana, 2022, AISTATS.

Causal inference for social discrimination reasoning

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

Typing Linear Constraints for Moding CLP() Programs

Frédéric Mesnard, Salvatore Ruggieri, S. Ruggieri, 2008, SAS.

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 .

On the complexity of quantified linear systems

K. Subramani, Salvatore Ruggieri, Pavlos Eirinakis, 2014, Theor. Comput. Sci..

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..

Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference

S. Ruggieri, J. Álvarez, 2023, EAAMO.

Classification Rule Mining Supported by Ontology for Discrimination Discovery

S. Ruggieri, F. Turini, B. Luong, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).