Salvatore Ruggieri

Orcid: 0000-0002-1917-6087

Affiliations:
  • University of Pisa, Italy


According to our database1, Salvatore Ruggieri authored at least 119 papers between 1994 and 2024.

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Bibliography

2024
Stable and actionable explanations of black-box models through factual and counterfactual rules.
Data Min. Knowl. Discov., September, 2024

Policy advice and best practices on bias and fairness in AI.
Ethics Inf. Technol., June, 2024

A Causal Framework for Evaluating Deferring Systems.
CoRR, 2024

Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing.
CoRR, 2024

Causal Perception.
CoRR, 2024

Deep Neural Network Benchmarks for Selective Classification.
CoRR, 2024

Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Explaining short text classification with diverse synthetic exemplars and counter-exemplars.
Mach. Learn., November, 2023

The Initial Screening Order Problem.
CoRR, 2023

Demographic Parity Inspector: Fairness Audits via the Explanation Space.
CoRR, 2023

Reason to Explain: Interactive Contrastive Explanations (REASONX).
Proceedings of the Explainable Artificial Intelligence, 2023

Declarative Reasoning on Explanations Using Constraint Logic Programming.
Proceedings of the Logics in Artificial Intelligence - 18th European Conference, 2023


Domain Adaptive Decision Trees: Implications for Accuracy and Fairness.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

The Explanation Dialogues: Understanding How Legal Experts Reason About XAI Methods.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

GenFair: A Genetic Fairness-Enhancing Data Generation Framework.
Proceedings of the Discovery Science - 26th International Conference, 2023

Causal Fairness-Guided Dataset Reweighting using Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023

Correlation and Unintended Biases on Univariate and Multivariate Decision Trees.
Proceedings of the IEEE International Conference on Big Data, 2023

Applied Data Science for Leasing Score Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023

AUC-based Selective Classification.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fairness Implications of Encoding Protected Categorical Attributes.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Can We Trust Fair-AI?
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

A Model-Agnostic Heuristics for Selective Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Methods and tools for causal discovery and causal inference.
WIREs Data Mining Knowl. Discov., 2022

Estimating the Total Volume of Queries to a Search Engine.
IEEE Trans. Knowl. Data Eng., 2022

Predicting and explaining employee turnover intention.
Int. J. Data Sci. Anal., 2022

Fairness implications of encoding protected categorical attributes.
CoRR, 2022

Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset.
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

2021
Introduction to The Special Section on Bias and Fairness in AI.
SIGKDD Explor., 2021

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
Ethics Inf. Technol., 2021

Ensemble of Counterfactual Explainers.
Proceedings of the Discovery Science - 24th International Conference, 2021

2020
Bias in data-driven artificial intelligence systems - An introductory survey.
WIREs Data Mining Knowl. Discov., 2020

Causal inference for social discrimination reasoning.
J. Intell. Inf. Syst., 2020

Educational ecosystems for Information Science: The case of the University of Pisa.
Educ. Inf., 2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
CoRR, 2020

Bias in Data-driven AI Systems - An Introductory Survey.
CoRR, 2020

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Complete Search for Feature Selection in Decision Trees.
J. Mach. Learn. Res., 2019

Sequential pattern mining for ICT risk assessment and management.
J. Log. Algebraic Methods Program., 2019

Factual and Counterfactual Explanations for Black Box Decision Making.
IEEE Intell. Syst., 2019

A Survey of Methods for Explaining Black Box Models.
ACM Comput. Surv., 2019

Estimating the Total Volume of Queries to Google.
Proceedings of the World Wide Web Conference, 2019

On The Stability of Interpretable Models.
Proceedings of the International Joint Conference on Neural Networks, 2019

SCube: A Tool for Segregation Discovery.
Proceedings of the Advances in Database Technology, 2019

Meaningful Explanations of Black Box AI Decision Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Segregation discovery in a social network of companies.
J. Intell. Inf. Syst., 2018

Assessing the Stability of Interpretable Models.
CoRR, 2018

Open the Black Box Data-Driven Explanation of Black Box Decision Systems.
CoRR, 2018

Local Rule-Based Explanations of Black Box Decision Systems.
CoRR, 2018

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science.
Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017
Sequential Pattern Mining for ICT Risk Assessment and Prevention.
Proceedings of the Software Engineering and Formal Methods, 2017

Enumerating Distinct Decision Trees.
Proceedings of the 34th International Conference on Machine Learning, 2017

Efficiently Clustering Very Large Attributed Graphs.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Causal Discrimination Discovery Through Propensity Score Analysis.
CoRR, 2016

A KDD Process for Discrimination Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Classification Rule Mining Supported by Ontology for Discrimination Discovery.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Introduction to the special issue on Artificial Intelligence for Society and Economy.
Intelligenza Artificiale, 2015

The layered structure of company share networks.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Using t-closeness anonymity to control for non-discrimination.
Trans. Data Priv., 2014

On the complexity of quantified linear systems.
Theor. Comput. Sci., 2014

A multidisciplinary survey on discrimination analysis.
Knowl. Eng. Rev., 2014

Decision tree building on multi-core using FastFlow.
Concurr. Comput. Pract. Exp., 2014

On quantified linear implications.
Ann. Math. Artif. Intell., 2014

Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society.
Artif. Intell. Law, 2014

Anti-discrimination Analysis Using Privacy Attack Strategies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Discrimination Data Analysis: A Multi-disciplinary Bibliography.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

The Discovery of Discrimination.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

Discrimination discovery in scientific project evaluation: A case study.
Expert Syst. Appl., 2013

Learning from Polyhedral Sets.
Proceedings of the IJCAI 2013, 2013

Data Anonymity Meets Non-discrimination.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
A complexity perspective on entailment of parameterized linear constraints.
Constraints An Int. J., 2012

Subtree Replacement in Decision Tree Simplification.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A study of top-k measures for discrimination discovery.
Proceedings of the ACM Symposium on Applied Computing, 2012

Computational complexity of inclusion queries over polyhedral sets.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012

Discovering Gender Discrimination in Project Funding.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Deciding Membership in a Class of Polyhedra.
Proceedings of the ECAI 2012, 2012

2011
k-NN as an implementation of situation testing for discrimination discovery and prevention.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Who/Where Are My New Customers?
Proceedings of the Emerging Intelligent Technologies in Industry, 2011

2010
Typing linear constraints.
ACM Trans. Program. Lang. Syst., 2010

Data mining for discrimination discovery.
ACM Trans. Knowl. Discov. Data, 2010

Integrating induction and deduction for finding evidence of discrimination.
Artif. Intell. Law, 2010

DCUBE: discrimination discovery in databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Variable ranges in linear constraints.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Porting Decision Tree Algorithms to Multicore Using FastFlow.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Frequent regular itemset mining.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Measuring Discrimination in Socially-Sensitive Decision Records.
Proceedings of the SIAM International Conference on Data Mining, 2009

2008
Typing Linear Constraints for Moding CLP() Programs.
Proceedings of the Static Analysis, 15th International Symposium, 2008

A Case Study in Sequential Pattern Mining for IT-Operational Risk.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Discrimination-aware data mining.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2006
KDDML: A middleware language and system for knowledge discovery in databases.
Data Knowl. Eng., 2006

2004
Bounded Nondeterminism of Logic Programs.
Ann. Math. Artif. Intell., 2004

Characterisations of Termination in Logic Programming.
Proceedings of the Program Development in Computational Logic: A Decade of Research Advances in Logic-Based Program Development, 2004

YaDT: Yet another Decision Tree Builder.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

2003
On proving left termination of constraint logic programs.
ACM Trans. Comput. Log., 2003

On logic programs that always succeed.
Sci. Comput. Program., 2003

On computing the semi-sum of two integers.
Inf. Process. Lett., 2003

Preprocessing and Mining Web Log Data for Web Personalization.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002
Classes of terminating logic programs.
Theory Pract. Log. Program., 2002

Efficient C4.5.
IEEE Trans. Knowl. Data Eng., 2002

Negation as Failure through Abduction: Reasoning about Termination.
Proceedings of the Computational Logic: Logic Programming and Beyond, 2002

2001
exists-Universal termination of logic programs.
Theor. Comput. Sci., 2001

Web log data warehousing and mining for intelligent web caching.
Data Knowl. Eng., 2001

Data Mining for Intelligent Web Caching.
Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

2000
Decidability of logic program semantics and applications to testing.
J. Log. Program., 2000

Parallelisation of C4.5 as a Particular Divide and Conquer Computation.
Proceedings of the Parallel and Distributed Processing, 2000

1999
On Logic Programs That Do Not Fail.
Proceedings of the Workshop on Verification of Logic Programs 1999, 1999

Verification of Logic Programs.
J. Log. Program., 1999

1998
Weakest Preconditions for Pure Prolog Programs.
Inf. Process. Lett., 1998

On Linguistic Quality of Natural Language Requirements.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 1998

A Complete Declarative Debugger of Missing Answers.
Proceedings of the Programming Languages and Systems - ESOP'98, 7th European Symposium on Programming, Held as Part of the European Joint Conferences on the Theory and Practice of Software, ETAPS'98, Lisbon, Portugal, March 28, 1998

1997
Verification of Meta-Interpreters.
J. Log. Comput., 1997

Describing the MMI2 demonstrators with the IMMPS reference model.
Comput. Stand. Interfaces, 1997

A standard reference model for intelligent multimedia presentation systems.
Comput. Stand. Interfaces, 1997

1996
Intelligent Multimedia Presentation Systems: A Proposal for a Reference Model.
Proceedings of the 1996 MultiMedia Modeling: Towards The Information Society Superhighway, 1996

On Termination of Constraint Logic Programs.
Proceedings of the 1996 Joint Conf. on Declarative Programming, 1996

1995
A Case Study in Logic Program Verification: the Vanilla Metainterpreter.
Proceedings of the 1995 Joint Conference on Declarative Programming, 1995

1994
Proving (total) correctness of Prolog programs.
Proceedings of the ICLP 1994 Workshop W2: Verification and Analysis of (Concurrent) Logic Languages, 1994

Termination is Language-Independent.
Proceedings of the 1994 Joint Conference on Declarative Programming, 1994


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