Salvatore Ruggieri

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 66

Top Venues

CoRR

AAAI

BigData

Publications

Andrea Pugnana, Lorenzo Perini, Jesse Davis, Salvatore Ruggieri
Deep Neural Network Benchmarks for Selective Classification. CoRR (2024)
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri
Policy advice and best practices on bias and fairness in AI. Ethics Inf. Technol. 26 (2) (2024)
José M. Álvarez, Salvatore Ruggieri
Uncovering Algorithmic Discrimination: An Opportunity to Revisit the Comparator. CoRR (2024)
José M. Álvarez, Salvatore Ruggieri
Causal Perception. CoRR (2024)
Filippo Palomba, Andrea Pugnana, José M. Álvarez, Salvatore Ruggieri
A Causal Framework for Evaluating Deferring Systems. CoRR (2024)
Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri
Applied Data Science for Leasing Score Prediction. BigData (2023)
Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri
GenFair: A Genetic Fairness-Enhancing Data Generation Framework. DS (2023)
José M. Álvarez, Salvatore Ruggieri
The Initial Screening Order Problem. CoRR (2023)
Mattia Setzu, Salvatore Ruggieri
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees. BigData (2023)
Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini
Can We Trust Fair-AI? AAAI (2023)
Andrea Pugnana, Salvatore Ruggieri
AUC-based Selective Classification. AISTATS (2023)
Riccardo Guidotti, Salvatore Ruggieri
Ensemble of Counterfactual Explainers. CoRR (2023)
Andrea Pugnana, Salvatore Ruggieri
A Model-Agnostic Heuristics for Selective Classification. AAAI (2023)
Jose M. Alvarez, Salvatore Ruggieri
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference. CoRR (2023)
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
Causal Fairness-Guided Dataset Reweighting using Neural Networks. CoRR (2023)
Laura State, Salvatore Ruggieri, Franco Turini
Reason to explain: Interactive contrastive explanations (REASONX). CoRR (2023)
Laura State, Salvatore Ruggieri, Franco Turini
Declarative Reasoning on Explanations Using Constraint Logic Programming. CoRR (2023)
Laura State, Alejandra Bringas Colmenarejo, Andrea Beretta, Salvatore Ruggieri, Franco Turini, Stephanie Law
The Explanation Dialogues: Understanding How Legal Experts Reason About XAI Methods. EWAF (2023)
José M. Alvarez, Kristen M. Scott, Bettina Berendt, Salvatore Ruggieri
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness. FAccT (2023)
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
Causal Fairness-Guided Dataset Reweighting using Neural Networks. BigData (2023)
Orestis Lampridis, Laura State, Riccardo Guidotti, Salvatore Ruggieri
Explaining short text classification with diverse synthetic exemplars and counter-exemplars. Mach. Learn. 112 (11) (2023)
Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Mattia Setzu, Rosaria Deluca
Trustworthy AI at KDD Lab. Ital-IA (2023)
Carlos Mougan, José Manuel Álvarez Colmenares, Salvatore Ruggieri, Steffen Staab
Fairness Implications of Encoding Protected Categorical Attributes. AIES (2023)
Carlos Mougan, Laura State, Antonio Ferrara, Salvatore Ruggieri, Steffen Staab
Demographic Parity Inspector: Fairness Audits via the Explanation Space. CoRR (2023)
Jose M. Alvarez, Kristen M. Scott, Salvatore Ruggieri, Bettina Berendt
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness. CoRR (2023)
José Manuel Álvarez Colmenares, Salvatore Ruggieri
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference. EAAMO (2023)
Mattia Setzu, Salvatore Ruggieri
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees. CoRR (2023)
Laura State, Salvatore Ruggieri, Franco Turini
Reason to Explain: Interactive Contrastive Explanations (REASONX). xAI (1) (2023)
Laura State, Salvatore Ruggieri, Franco Turini
Declarative Reasoning on Explanations Using Constraint Logic Programming. JELIA (2023)
Andrea Pugnana, Salvatore Ruggieri
AUC-based Selective Classification. CoRR (2022)
Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi, João Gama
Methods and tools for causal discovery and causal inference. WIREs Data Mining Knowl. Discov. 12 (2) (2022)
Matilde Lazzari, José M. Álvarez, Salvatore Ruggieri
Predicting and explaining employee turnover intention. Int. J. Data Sci. Anal. 14 (3) (2022)
Marta Marchiori Manerba, Riccardo Guidotti, Lucia C. Passaro, Salvatore Ruggieri
Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset. NLPerspectives@LREC (2022)
Fabrizio Lillo, Salvatore Ruggieri
Estimating the Total Volume of Queries to a Search Engine. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Carlos Mougan, José Manuel Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab
Fairness implications of encoding protected categorical attributes. CoRR (2022)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23 (S1) (2021)
Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri
Introduction to The Special Section on Bias and Fairness in AI. SIGKDD Explor. 23 (1) (2021)
Fabrizio Lillo, Salvatore Ruggieri
Estimating the Total Volume of Queries to a Search Engine. CoRR (2021)
Riccardo Guidotti, Salvatore Ruggieri
Ensemble of Counterfactual Explainers. DS (2021)
Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars. DS (2020)
Vittore Casarosa, Salvatore Ruggieri, Enrica Salvatori, Maria Simi, Simona Turbanti
Educational ecosystems for Information Science: The case of the University of Pisa. Educ. Inf. 36 (2) (2020)
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 10 (3) (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR (2020)
Bilal Qureshi, Faisal Kamiran, Asim Karim, Salvatore Ruggieri, Dino Pedreschi
Causal inference for social discrimination reasoning. J. Intell. Inf. Syst. 54 (2) (2020)
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
Bias in Data-driven AI Systems - An Introductory Survey. CoRR (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13 (1) (2020)
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, Dino Pedreschi
A Survey of Methods for Explaining Black Box Models. ACM Comput. Surv. 51 (5) (2019)
Fabrizio Lillo, Salvatore Ruggieri
Estimating the Total Volume of Queries to Google. WWW (2019)
Salvatore Ruggieri
Complete Search for Feature Selection in Decision Trees. J. Mach. Learn. Res. 20 (2019)
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Meaningful Explanations of Black Box AI Decision Systems. AAAI (2019)
Michele D'Andreagiovanni, Fabrizio Baiardi, Jacopo Lipilini, Salvatore Ruggieri, Federico Tonelli
Sequential pattern mining for ICT risk assessment and management. J. Log. Algebraic Methods Program. 102 (2019)
Riccardo Guidotti, Salvatore Ruggieri
On The Stability of Interpretable Models. IJCNN (2019)
Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Salvatore Ruggieri, Franco Turini
Factual and Counterfactual Explanations for Black Box Decision Making. IEEE Intell. Syst. 34 (6) (2019)
Alessandro Baroni, Salvatore Ruggieri
SCube: A Tool for Segregation Discovery. EDBT (2019)
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Dino Pedreschi, Franco Turini, Fosca Giannotti
Local Rule-Based Explanations of Black Box Decision Systems. CoRR (2018)
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Salvatore Ruggieri, Franco Turini
Open the Black Box Data-Driven Explanation of Black Box Decision Systems. CoRR (2018)
Alessandro Baroni, Salvatore Ruggieri
Segregation discovery in a social network of companies. J. Intell. Inf. Syst. 51 (1) (2018)
Riccardo Guidotti, Salvatore Ruggieri
Assessing the Stability of Interpretable Models. CoRR (2018)
Alessandro Baroni, Alessio Conte, Maurizio Patrignani, Salvatore Ruggieri
Efficiently Clustering Very Large Attributed Graphs. ASONAM (2017)
Alessandro Baroni, Alessio Conte, Maurizio Patrignani, Salvatore Ruggieri
Efficiently Clustering Very Large Attributed Graphs. CoRR (2017)
Salvatore Ruggieri
Enumerating Distinct Decision Trees. ICML (2017)
Alessandro Baroni, Salvatore Ruggieri
SCube: A Tool for Segregation Discovery. CoRR (2017)
Michele D'Andreagiovanni, Fabrizio Baiardi, Jacopo Lipilini, Salvatore Ruggieri, Federico Tonelli
Sequential Pattern Mining for ICT Risk Assessment and Prevention. SEFM Workshops (2017)
Bilal Qureshi, Faisal Kamiran, Asim Karim, Salvatore Ruggieri
Causal Discrimination Discovery Through Propensity Score Analysis. CoRR (2016)
Binh Thanh Luong, Salvatore Ruggieri, Franco Turini
Classification Rule Mining Supported by Ontology for Discrimination Discovery. ICDM Workshops (2016)
Salvatore Ruggieri, Franco Turini
A KDD Process for Discrimination Discovery. ECML/PKDD (3) (2016)
Salvatore Ruggieri
Introduction to the special issue on Artificial Intelligence for Society and Economy. Intelligenza Artificiale 9 (1) (2015)
Andrea Romei, Salvatore Ruggieri, Franco Turini
The layered structure of company share networks. DSAA (2015)
Alessandro Baroni, Salvatore Ruggieri
Segregation Discovery in a Social Network of Companies. IDA (2015)
Marco Aldinucci, Salvatore Ruggieri, Massimo Torquati
Decision tree building on multi-core using FastFlow. Concurr. Comput. Pract. Exp. 26 (3) (2014)
Pavlos Eirinakis, Salvatore Ruggieri, K. Subramani, Piotr J. Wojciechowski
On quantified linear implications. Ann. Math. Artif. Intell. 71 (4) (2014)
Andrea Romei, Salvatore Ruggieri
A multidisciplinary survey on discrimination analysis. Knowl. Eng. Rev. 29 (5) (2014)
Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang
Anti-discrimination Analysis Using Privacy Attack Strategies. ECML/PKDD (2) (2014)
Salvatore Ruggieri
Using t-closeness anonymity to control for non-discrimination. Trans. Data Priv. 7 (2) (2014)
Salvatore Ruggieri, Pavlos Eirinakis, K. Subramani, Piotr J. Wojciechowski
On the complexity of quantified linear systems. Theor. Comput. Sci. 518 (2014)
Sergio Mascetti, Annarita Ricci, Salvatore Ruggieri
Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society. Artif. Intell. Law 22 (2) (2014)
Salvatore Ruggieri
Learning from Polyhedral Sets. IJCAI (2013)
Salvatore Ruggieri
Data Anonymity Meets Non-discrimination. ICDM Workshops (2013)
Andrea Romei, Salvatore Ruggieri, Franco Turini
Discrimination discovery in scientific project evaluation: A case study. Expert Syst. Appl. 40 (15) (2013)
Salvatore Ruggieri
Subtree Replacement in Decision Tree Simplification. SDM (2012)
Andrea Romei, Salvatore Ruggieri, Franco Turini
Discovering Gender Discrimination in Project Funding. ICDM Workshops (2012)
Dino Pedreschi, Salvatore Ruggieri, Franco Turini
A study of top-k measures for discrimination discovery. SAC (2012)
Pavlos Eirinakis, Salvatore Ruggieri, K. Subramani, Piotr J. Wojciechowski
Computational complexity of inclusion queries over polyhedral sets. ISAIM (2012)
Salvatore Ruggieri
Deciding Membership in a Class of Polyhedra. ECAI (2012)
Pavlos Eirinakis, Salvatore Ruggieri, K. Subramani, Piotr J. Wojciechowski
A complexity perspective on entailment of parameterized linear constraints. Constraints An Int. J. 17 (4) (2012)
Salvatore Rinzivillo, Salvatore Ruggieri
Who/Where Are My New Customers? ISMIS Industrial Session (2011)
Binh Luong Thanh, Salvatore Ruggieri, Franco Turini
k-NN as an implementation of situation testing for discrimination discovery and prevention. KDD (2011)
Marco Aldinucci, Salvatore Ruggieri, Massimo Torquati
Porting Decision Tree Algorithms to Multicore using FastFlow CoRR (2010)
Salvatore Ruggieri, Dino Pedreschi, Franco Turini
Data mining for discrimination discovery. ACM Trans. Knowl. Discov. Data 4 (2) (2010)
Salvatore Ruggieri, Dino Pedreschi, Franco Turini
Integrating induction and deduction for finding evidence of discrimination. Artif. Intell. Law 18 (1) (2010)
Salvatore Ruggieri
Frequent regular itemset mining. KDD (2010)
Marco Aldinucci, Salvatore Ruggieri, Massimo Torquati
Porting Decision Tree Algorithms to Multicore Using FastFlow. ECML/PKDD (1) (2010)
Salvatore Ruggieri, Fred Mesnard
Variable ranges in linear constraints. SAC (2010)
Salvatore Ruggieri, Fred Mesnard
Typing linear constraints. ACM Trans. Program. Lang. Syst. 32 (6) (2010)
Salvatore Ruggieri, Dino Pedreschi, Franco Turini
DCUBE: discrimination discovery in databases. SIGMOD Conference (2010)
Dino Pedreschi, Salvatore Ruggieri, Franco Turini
Integrating induction and deduction for finding evidence of discrimination. ICAIL (2009)
Dino Pedreschi, Salvatore Ruggieri, Franco Turini
Measuring Discrimination in Socially-Sensitive Decision Records. SDM (2009)
Valerio Grossi, Andrea Romei, Salvatore Ruggieri
A Case Study in Sequential Pattern Mining for IT-Operational Risk. ECML/PKDD (1) (2008)
Salvatore Ruggieri, Frédéric Mesnard
Typing Linear Constraints for Moding CLP() Programs. SAS (2008)
Dino Pedreschi, Salvatore Ruggieri, Franco Turini
Discrimination-aware data mining. KDD (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Salvatore Ruggieri