Professors

Leopoldo BERTOSSI

Professor

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Leopoldo BERTOSSI

Academy

Transformation

Research center

SKEMA Centre for Artificial Intelligence

Location

Montreal

Discipline

Analytics Information & Operations
Education
1988
Doctorate in mathematics, Pontificia Universidad Catolica, Chile
Experience
Full-time academic positions
Since 2022
Professor, SKEMA Business School, Canada

Peer-reviewed journal articles

ARENAS, M., BARCELO, P., BERTOSSI, L. and 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. and 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. and 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. and 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. and 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. and GEERTS, F. (2020). Data Quality and Explainable AI. ACM Journal of Data and Information Quality, 12(2).
BERTOSSI, L. and 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. and 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. and 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. and VASILOGLOU, N. (2017). ERBlox: Combining matching dependencies with machine learning for entity resolution. International Journal of Approximate Reasoning, 83, pp. 118-141.
BERTOSSI, L. and BRAVO, L. (2017). Consistency and Trust in Peer Data Exchange Systems. Theory and Practice of Logic Programming, 17(2), pp. 148-204.
BERTOSSI, L. and 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., RODRÍGUEZ, M.A. and CANIUPÁN, M. (2013). Consistent Query Answering under Spatial Semantic Constraints. Information Systems, 38(2), pp. 244-263.
ANDREA RODRÍGUEZ, M., BERTOSSI, L. and CANIUPÁN, M. (2013). Consistent query answering under spatial semantic constraints. Information Systems, 38(2), pp. 244-263.
BERTOSSI, L., KOLAHI, S. and 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., GARDEZI, J. and KIRINGA, L. (2012). Matching Dependencies: Semantics and Query Answering. Frontiers of Computer Science, 6, pp. 2478-292.
BERTOSSI, L., BRAVO, L., FRANCONI, E. and LOPATENKO, A. (2008). The complexity and approximation of fixing numerical attributes in databases under integrity constraints. Information Systems, 33(4-5), pp. 407-434.

Non peer-reviewed journal articles

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

Book chapters

BERTOSSI, L. (2023). From Database Repairs to Causality in Databases and Beyond. In: 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. In: 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. In: 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. In: Handbook of Data Quality - Research and Practice. 1st ed. Springer, pp. 181-212.
BERTOSSI, L. (2009). Inconsistent Databases. In: Encyclopedia of Database Systems. 1st ed. Springer, pp. 1410-1414.
BERTOSSI, L. and BRAVO, L. (2005). Consistent Query Answers in Virtual Data Integration Systems. In: Inconsistency Tolerance. Lecture Notes in Computer Science. 1st ed. Springer, pp. 42-83.
BERTOSSI, L., HUNTER, A. and SCHAUB, T. (2005). Introduction to Inconsistency Tolerance. In: Inconsistency Tolerance. Lecture Notes in Computer Science. 1st ed. Springer, pp. 1-14.

Books and book editor

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