PhD Defense Rehearsal: Shufan Jiang

12 December 2022, 14:00-15:30. ENS, Hauts du DI. Intégration de données textuelles pour la détection des risques naturels en agriculture Agriculture is entering the digital age through data (which opens up precision agriculture) or knowledge (which opens up new decision support tools). Modern technologies and IoT devices have been applied…

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Valda Seminar: Paul Boniol

28 November 2022, 14:00-15:00. ENS, S16. Detection of Anomalies and Identification of their Precursors in Large Data Series Collections Extensive collections of data series are becoming a reality in many scientific and social domains, such as environmental sciences, astrophysics, neurosciences, and engineering. Informally, a data series is an ordered sequence…

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Valda Seminar: Dan Suciu

4 November 2022, 10:30-11:30. ENS, S16. Datalog: Optimizations and Extensions Modern data analytics requires iteration, yet relational database engines are mostly optimized for non-recursive queries. SQL supports only a limited form of recursion. A better formalism for recursive queries is datalog, which has some elegant properties (recursion always terminates), and…

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Valda Seminar: Camille Bourgaux

3 June 2022, 10:30-11:30. ENS, Hauts du DI. Querying inconsistent prioritized data with ORBITS: Algorithms, implementation, and experiments We investigate practical algorithms for inconsistency-tolerant query answering over prioritized knowledge bases, which consist of a logical theory, a set of facts, and a priority relation between conflicting facts. We consider three…

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Valda Seminar: Anantha Padmanabha

20 May 2022, 10:30-11:30. ENS S16. Algorithm for consistent query answering under primary key constraints Databases often have constraints. One of the basic constraints is the “primary key constraint” which states there can be at most one tuple for every primary key. However, these days it is common to have…

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Valda Seminar: Yann Ramusat

12 April 2022, 10:30-11:30. ENS, S16 The Semiring-Based Provenance Framework for Graph Databases The growing amount of data collected by sensors or generated by human interaction has led to an increasing use of graph databases, an efficient model for representing intricate data. Techniques to keep track of the history of…

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Valda Seminar: Michaël Thomazo

8 April 2022, 10:30-11:30. ENS, S16 Capturing Homomorphism-Closed Decidable Queries with Existential Rules Existential rules are a well studied ontology-mediated query language for which the chase represents a generic computational approach for query answering. It is straightforward that existential rule queries exhibiting chase termination are decidable and can only recognize…

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Valda Seminar: Debabrota Basu

Debabrota Basu, Inria Lille. 11 March 2022, 10:30-11:30. ENS S16. Verifying and Explaining Unfairness of Machine Learning Algorithms In recent years, machine learning (ML) algorithms have been deployed in safety-critical and high-stake decision-making, where the fairness or unbiasedness of algorithms bears significant importance. Fairness in ML centres on detecting bias…

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Valda Seminar: Mikaël Monet

Mikaël Monet, Inria Lille. 25 February 2022, 10:30-11:30. ENS, S16. Shapley Values for Relational Databases and Machine Learning The Shapley value is a game-theoretic function that can be used to distribute the wealth of a team in a cooperative game. This function has strong theoretical justifications has been applied across…

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Valda Seminar: Davide Benedetto and Shrey Mishra

12 March 2021, 10:30-11:30 Online seminar: https://bbb.di.ens.fr/b/cam-pz6-kdj Traversal algorithms and heuristics for reasoning over logic based knowledge graphs (Davide Benedetto) Knowledge Graphs (KGs) provide a concise and intuitive abstraction for a variety of domains where edges capture the (potentially recursive) relationships between the entities. This is leading to the rise…

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