TURINI, FRANCO Statistiche
TURINI, FRANCO
DIPARTIMENTO DI INFORMATICA
Can We Trust Fair-AI?
2023-01-01 Ruggieri, S.; Alvarez, J. M.; Pugnana, A.; State, L.; Turini, F.
Declarative Reasoning on Explanations Using Constraint Logic Programming
2023-01-01 State, L.; Ruggieri, S.; Turini, F.
Reason to Explain: Interactive Contrastive Explanations (REASONX)
2023-01-01 State, L.; Ruggieri, S.; Turini, F.
The Explanation Dialogues: Understanding How Legal Experts Reason About XAI Methods
2023-01-01 State, L.; Colmenarejo, A. B.; Beretta, A.; Ruggieri, S.; Turini, F.; Law, S.
Stable and actionable explanations of black-box models through factual and counterfactual rules
2022-01-01 Guidotti, R; Monreale, A; Ruggieri, S; Naretto, F; Turini, F; Pedreschi, D; Giannotti, F
GLocalX - From Local to Global Explanations of Black Box AI Models
2021-01-01 Setzu, Mattia; Guidotti, Riccardo; Monreale, Anna; Turini, Franco; Pedreschi, Dino; Giannotti, Fosca
Bias in data-driven artificial intelligence systems—An introductory survey
2020-01-01 Ntoutsi, E.; Fafalios, P.; Gadiraju, U.; Iosifidis, V.; Nejdl, W.; Vidal, M. -E.; Ruggieri, S.; Turini, F.; Papadopoulos, S.; Krasanakis, E.; Kompatsiaris, I.; Kinder-Kurlanda, K.; Wagner, C.; Karimi, F.; Fernandez, M.; Alani, H.; Berendt, B.; Kruegel, T.; Heinze, C.; Broelemann, K.; Kasneci, G.; Tiropanis, T.; Staab, S.
Global Explanations with Local Scoring
2020-01-01 Setzu, Mattia; Guidotti, Riccardo; Monreale, Anna; Turini, Franco
Opening the black box: a primer for anti-discrimination
2020-01-01 Ruggieri, S.; Giannotti, F.; Guidotti, R.; Monreale, A.; Pedreschi, D.; Turini, F.
Factual and Counterfactual Explanations for Black Box Decision Making
2019-01-01 Guidotti, R.; Monreale, A.; Giannotti, F.; Pedreschi, D.; Ruggieri, S.; Turini, F.
Meaningful Explanations of Black Box AI Decision Systems
2019-01-01 Pedreschi, Dino; Giannotti, Fosca; Guidotti, Riccardo; Monreale, Anna; Ruggieri, Salvatore; Turini, Franco
A survey of methods for explaining black box models
2018-01-01 Guidotti, Riccardo; Monreale, Anna; Ruggieri, Salvatore; Turini, Franco; Giannotti, Fosca; Pedreschi, Dino
An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in freelibre open source software (FLOSS) communities
2017-01-01 Mukala, MULAMBA PATRICK; Cerone, Antonio; Turini, Franco
Survey on using constraints in data mining
2017-01-01 Grossi, Valerio; Romei, Andrea; Turini, Franco
A KDD process for discrimination discovery
2016-01-01 Ruggieri, Salvatore; Turini, Franco
Classification Rule Mining Supported by Ontology for Discrimination Discovery
2016-01-01 Luong, Binh Thanh; Ruggieri, Salvatore; Turini, Franco
Data mining and constraints: An overview
2016-01-01 Grossi, Valerio; Pedreschi, Dino; Turini, Franco
An Abstract State Machine (ASM) Representation of Learning in FLOSS Communities
2015-01-01 Mukala, Patrick; Cerone, Antonio; Turini, Franco
Clustering formulation using constraint optimization
2015-01-01 Grossi, Valerio; Monreale, Anna; Nanni, Mirco; Pedreschi, Dino; Turini, Franco
Mining Learning Processes from {FLOSS} Mailing Archives
2015-01-01 Mukala, Patrick; Cerone, Antonio; Turini, Franco
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Can We Trust Fair-AI? | 1-gen-2023 | Ruggieri, S.; Alvarez, J. M.; Pugnana, A.; State, L.; Turini, F. | |
| Declarative Reasoning on Explanations Using Constraint Logic Programming | 1-gen-2023 | State, L.; Ruggieri, S.; Turini, F. | |
| Reason to Explain: Interactive Contrastive Explanations (REASONX) | 1-gen-2023 | State, L.; Ruggieri, S.; Turini, F. | |
| The Explanation Dialogues: Understanding How Legal Experts Reason About XAI Methods | 1-gen-2023 | State, L.; Colmenarejo, A. B.; Beretta, A.; Ruggieri, S.; Turini, F.; Law, S. | |
| Stable and actionable explanations of black-box models through factual and counterfactual rules | 1-gen-2022 | Guidotti, R; Monreale, A; Ruggieri, S; Naretto, F; Turini, F; Pedreschi, D; Giannotti, F | |
| GLocalX - From Local to Global Explanations of Black Box AI Models | 1-gen-2021 | Setzu, Mattia; Guidotti, Riccardo; Monreale, Anna; Turini, Franco; Pedreschi, Dino; Giannotti, Fosca | |
| Bias in data-driven artificial intelligence systems—An introductory survey | 1-gen-2020 | Ntoutsi, E.; Fafalios, P.; Gadiraju, U.; Iosifidis, V.; Nejdl, W.; Vidal, M. -E.; Ruggieri, S.; Turini, F.; Papadopoulos, S.; Krasanakis, E.; Kompatsiaris, I.; Kinder-Kurlanda, K.; Wagner, C.; Karimi, F.; Fernandez, M.; Alani, H.; Berendt, B.; Kruegel, T.; Heinze, C.; Broelemann, K.; Kasneci, G.; Tiropanis, T.; Staab, S. | |
| Global Explanations with Local Scoring | 1-gen-2020 | Setzu, Mattia; Guidotti, Riccardo; Monreale, Anna; Turini, Franco | |
| Opening the black box: a primer for anti-discrimination | 1-gen-2020 | Ruggieri, S.; Giannotti, F.; Guidotti, R.; Monreale, A.; Pedreschi, D.; Turini, F. | |
| Factual and Counterfactual Explanations for Black Box Decision Making | 1-gen-2019 | Guidotti, R.; Monreale, A.; Giannotti, F.; Pedreschi, D.; Ruggieri, S.; Turini, F. | |
| Meaningful Explanations of Black Box AI Decision Systems | 1-gen-2019 | Pedreschi, Dino; Giannotti, Fosca; Guidotti, Riccardo; Monreale, Anna; Ruggieri, Salvatore; Turini, Franco | |
| A survey of methods for explaining black box models | 1-gen-2018 | Guidotti, Riccardo; Monreale, Anna; Ruggieri, Salvatore; Turini, Franco; Giannotti, Fosca; Pedreschi, Dino | |
| An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in freelibre open source software (FLOSS) communities | 1-gen-2017 | Mukala, MULAMBA PATRICK; Cerone, Antonio; Turini, Franco | |
| Survey on using constraints in data mining | 1-gen-2017 | Grossi, Valerio; Romei, Andrea; Turini, Franco | |
| A KDD process for discrimination discovery | 1-gen-2016 | Ruggieri, Salvatore; Turini, Franco | |
| Classification Rule Mining Supported by Ontology for Discrimination Discovery | 1-gen-2016 | Luong, Binh Thanh; Ruggieri, Salvatore; Turini, Franco | |
| Data mining and constraints: An overview | 1-gen-2016 | Grossi, Valerio; Pedreschi, Dino; Turini, Franco | |
| An Abstract State Machine (ASM) Representation of Learning in FLOSS Communities | 1-gen-2015 | Mukala, Patrick; Cerone, Antonio; Turini, Franco | |
| Clustering formulation using constraint optimization | 1-gen-2015 | Grossi, Valerio; Monreale, Anna; Nanni, Mirco; Pedreschi, Dino; Turini, Franco | |
| Mining Learning Processes from {FLOSS} Mailing Archives | 1-gen-2015 | Mukala, Patrick; Cerone, Antonio; Turini, Franco |