Corps professoral

Leopoldo BERTOSSI

Professeur

,

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Leopoldo BERTOSSI

Académie

Transformation

Centre de recherche

SKEMA Centre for Artificial Intelligence

Localisation

Montreal

Discipline

Analytics Information & Operations
Formation
1988
Doctorat en mathématiques, Pontificia Universidad Catolica, Chili
Expérience professionnelle
Positions académiques principales
Depuis 2022
Professeur, SKEMA Business School, Canada

Articles académiques revus

ARENAS, M., BARCELO, P., BERTOSSI, L. et MONET, M. (2023). On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results. Journal of Machine Learning Research, 24(63), pp. 1−58.
BERTOSSI, L., KIMELFELD, B., LIVSHITS, E. et MONET, M. (2023). The Shapley Value in Database Management. ACM SIGMOD Record, 52(2), pp. 6-17.
BERTOSSI, L. (2023). Declarative Approaches to Counterfactual Explanations for Classification. Theory and Practice of Logic Programming, 23(3), pp. 559-593.
BERTOSSI, L. et MILANI, M. (2023). Extending sticky-Datalog via finite-position selection functions: Tractability, algorithms, and optimization. Enterprise Information Systems, 114, pp. 102156.
BERTOSSI, L. (2022). 3 Overview of Talks 3.1 SHAP Explanations with Booleans Circuit Classifiers. Dagstuhl Report, 11(8).
BERTOSSI, L., LIVSHITS, E., KIMELFELD, B. et SEBAG, M. (2021). The Shapley Value of Tuples in Query Answering. Logical Methods in Computer Science, 17(3), pp. 22.1-22.33.
BERTOSSI, L., LIVSHITS, E., KIMELFELD, B. et SEBAG, M. (2021). Query Games in Databases. ACM SIGMOD Record, 50(1), pp. 78-85.
BERTOSSI, L. (2021). Specifying and Computing Causes for Query Answers in Databases via Database Repairs and Repair Programs. Knowledge and Information Systems, 63, pp. 199-231.
BERTOSSI, L. et GEERTS, F. (2020). Data Quality and Explainable AI. ACM Journal of Data and Information Quality, 12(2).
BERTOSSI, L. et MILANI, M. (2018). Ontological Multidimensional Data Models and Contextual Data Quality. ACM Journal of Data and Information Quality, 9 / 3(14), pp. 1-36.
BERTOSSI, L. et SALIMI, B. (2017). Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints. International Journal of Approximate Reasoning, 90, pp. 226-252.
BERTOSSI, L. et SALIMI, B. (2017). From Causes for Database Queries to Repairs and Model- Based Diagnosis and Back. Theory of Computing Systems, 61(1), pp. 191-232.
BAHMANI, Z., BERTOSSI, L. et VASILOGLOU, N. (2017). ERBlox: Combining matching dependencies with machine learning for entity resolution. International Journal of Approximate Reasoning, 83, pp. 118-141.
BERTOSSI, L. et BRAVO, L. (2017). Consistency and Trust in Peer Data Exchange Systems. Theory and Practice of Logic Programming, 17(2), pp. 148-204.
BERTOSSI, L. et LI, L. (2013). Achieving Data Privacy through Secrecy Views and Null- Based Virtual Updates. IEEE Transactions on Knowledge and Data Engineering, 25(5), pp. 987-1000.
BERTOSSI, L., KOLAHI, S. et LAKSHMANAN, L.V.S. (2013). Data Cleaning and Query Answering with Matching Dependencies and Matching Functions. Theory of Computing Systems, 52(3), pp. 441-482.
BERTOSSI, L., RODRÍGUEZ, M.A. et CANIUPÁN, M. (2013). Consistent Query Answering under Spatial Semantic Constraints. Information Systems, 38(2), pp. 244-263.
ANDREA RODRÍGUEZ, M., BERTOSSI, L. et CANIUPÁN, M. (2013). Consistent query answering under spatial semantic constraints. Information Systems, 38(2), pp. 244-263.
BERTOSSI, L., GARDEZI, J. et KIRINGA, L. (2012). Matching Dependencies: Semantics and Query Answering. Frontiers of Computer Science, 6, pp. 2478-292.
BERTOSSI, L., BRAVO, L., FRANCONI, E. et LOPATENKO, A. (2008). The complexity and approximation of fixing numerical attributes in databases under integrity constraints. Information Systems, 33(4-5), pp. 407-434.

Articles académiques non revus

BERTOSSI, L. et CANIUPÁN, M. (2010). The Consistency Extractor System: Answer Set Programs for Consistent Query Answering in Databases. Data & Knowledge Engineering, 69(6), pp. 545-572.

Chapitres d’ouvrage

BERTOSSI, L. (2023). From Database Repairs to Causality in Databases and Beyond. Dans: Hameurlain, A., Tjoa, A.M., Boucelma, O., Toumani, F. eds. Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV. Lecture Notes in Computer Science. 1st ed. Berlin, Heidelberg: Springer, pp. 119-131.
BERTOSSI, L. (2023). Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence". In 'Reasoning Web: Causality, Explanations and Declarative Knowledge. Dans: Leopoldo Bertossi & Guohui Xiao (ed.). Reasoning Web: Causality, Explanations and Declarative Knowledge. 1st ed. Springer, pp. 22.
BERTOSSI, L. (2022). Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis. Dans: Simkus M., Varzinczak I. eds. Reasoning Web. Declarative Artificial Intelligence. Reasoning Web 2021. Springer Lecture Notes in Computer Science, 1st ed. Springer, pp. 145-184.
BERTOSSI, L. (2013). Generic and Declarative Approaches to Data Quality Management. Dans: Handbook of Data Quality - Research and Practice. 1st ed. Springer, pp. 181-212.
BERTOSSI, L. (2009). Inconsistent Databases. Dans: Encyclopedia of Database Systems. 1st ed. Springer, pp. 1410-1414.
BERTOSSI, L., HUNTER, A. et SCHAUB, T. (2005). Introduction to Inconsistency Tolerance. Dans: Inconsistency Tolerance. Lecture Notes in Computer Science. 1st ed. Springer, pp. 1-14.
BERTOSSI, L. et BRAVO, L. (2005). Consistent Query Answers in Virtual Data Integration Systems. Dans: Inconsistency Tolerance. Lecture Notes in Computer Science. 1st ed. Springer, pp. 42-83.

Ouvrages et édition d’ouvrages

BERTOSSI, L. (2011). Database Repairing and Consistent Query Answering. Springer, 105 pages.
BERTOSSI, L., HUNTER, A. et SCHAUB, T. (2005). Inconsistency Tolerance. Springer, 300 pages.