Vargas-Solar, Genoveva
This short paper states a scientific position that proposes a new vision of data science pipelines defined as queries, namely data science queries (DSQ's). Different from classic queries, the results of DSQ's are not only data but also estimated models with associated error and performance scores. Besides, queries can have different attainable resu...
Amarilli, Antoine Ceylan, İsmail İlkan
We study the problem of probabilistic query evaluation on probabilistic graphs, namely, tuple-independent probabilistic databases on signatures of arity two. Our focus is the class of queries that is closed under homomorphisms, or equivalently, the infinite unions of conjunctive queries. Our main result states that all unbounded queries from this c...
Guilbot, Michèle
La recherche scientifique nécessite souvent la collecte de données concernant des participants à des expérimentations, des répondants à des questionnaires, des personnes identifiables dans des bases de données. Au-delà des intrusions dans leur vie privée, ce sont des profils de comportements et des habitudes de vie qui peuvent être appréhendés. Cet...
Derigent, William Cardin, Olivier Trentesaux, Damien
The flexibility claimed by the next generation production systems induces a deep modification of the behaviour and the core itself of the control systems. Over-connectivity and data management abilities targeted by Industry 4.0 paradigm enable the emergence of more flexible and reactive control systems, based on the cooperation of autonomous and co...
Ciucanu, Radu Lafourcade, Pascal Lombard-Platet, Marius Soare, Marta
We consider the problem of cumulative reward maximization in multi-armed bandits. We address the security concerns that occur when data and computations are outsourced to an honest-but-curious cloud i.e., that executes tasks dutifully, but tries to gain as much information as possible. We consider situations where data used in bandit algorithms is ...
Pinho, Ana Luísa Amadon, Alexis Fabre, Murielle Dohmatob, Elvis Denghien, Isabelle Torres, Juan Jesús Ginisty, Chantal Becuwe-Desmidt, Séverine Roger, Séverine Laurier, Laurence
...
Functional Magnetic Resonance Imaging (fMRI) has opened the possibility to investigate how brain activity is modulated by behavior. Most studies so far are bound to one single task, in which functional responses to a handful of contrasts are analyzed and reported as a group average brain map.Contrariwise, recent data-collection efforts have started...
Korniotis, Sarantis D’Aveni, Maud Hergalant, Sébastien Letscher, Hélène Tejerina, Emmanuel Gastineau, Pauline Agbogan, Viviane A. Gras, Christophe Fouquet, Guillemette Rossignol, Julien
...
Published in
Frontiers in Immunology
Achieving immunoregulation via in vivo expansion of Foxp3+ regulatory CD4+ T cells (Treg) remains challenging. We have shown that mobilization confers to multipotent hematopoietic progenitors (MPPs) the capacity to enhance Treg proliferation. Transcriptomic analysis of Tregs co-cultured with MPPs revealed enhanced expression of genes stabilizing th...
Jacob, Daniel David, Romain Aubin, Sophie Gibon, Yves
Making data compliant with the FAIR Data principles (Findable, Accessible, Interoperable, Reusable) is still a challenge for many researchers, who are not sure which criteria should be met first and how. Illustrated from experimental data tables associated with a Design of Experiments, we propose an approach that can serve as a model for a research...
Lin, Yiming Jiang, Daokun Yus, Roberto Bouloukakis, Georgios Chio, Andrew Mehrotra, Sharad Venkatasubramanian, Nalini
This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi connectivity data consists of sporadic connections between devices and nearby WiFi access points (APs), each of which may cover a relatively large area within a building. Ou...
Guyet, Thomas Dauxais, Yann
Discriminant chronicle mining (DCM) tackles temporal sequence classification by combining machine learning and chronicle mining algorithms. A chronicle is a set of events related by temporal boundaries on the delay between event occurrences. Such temporal constraints are poorly expressive and discriminant chronicles may lack of accuracy.This articl...