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Leopoldo BERTOSSI
Professor
Academy:
Transformation
Research centre:
SKEMA Centre for Artificial Intelligence
Location:
MONTREAL
email:
leopoldo.bertossi@skema.edu
Publications
Career
Peer-reviewed journal articles
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.
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. (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). 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., 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. 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 BRAVO, L. (2017). Consistency and Trust in Peer Data Exchange Systems.
Theory and Practice of Logic Programming
, 17(2), pp. 148-204.
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 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.
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.
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.
Book chapters
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. (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. (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.
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.
Education
1988
Doctorate in mathematics, Pontificia Universidad Catolica, Chile
Experience
Full-time academic positions
Since 2022
Professor, SKEMA Business School, Canada
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