Institution
Conservatoire national des arts et métiers
Education•Paris, France•
About: Conservatoire national des arts et métiers is a education organization based out in Paris, France. It is known for research contribution in the topics: Population & Orthogonal frequency-division multiplexing. The organization has 3573 authors who have published 7127 publications receiving 141430 citations. The organization is also known as: CNAM & Conservatoire des arts et métiers.
Topics: Population, Orthogonal frequency-division multiplexing, Petri net, Finite element method, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: The traceability needs for a tool to assist in rigorous IS development are outlined, and meta-structures for the required links among B andIS UML concepts are provided, in the context of existing translation rules and IS UML metamodels.
Abstract: CEDRIC-IIE is researching rigorous information system (IS) development. Previous work includes translation rules for deriving a B specification from object-oriented diagrams, metamodels of IS UML structural and functional concepts, and a prototype translation tool. Here we outline the traceability needs for a tool to assist in rigorous IS development, and provide meta-structures for the required links among B and IS UML concepts, in the context of existing translation rules and IS UML metamodels.
51 citations
Posted Content•
TL;DR: This paper proposes a cross-modal retrieval model aligning visual and textual data (like pictures of dishes and their recipes) in a shared representation space, and describes an effective learning scheme, capable of tackling large-scale problems.
Abstract: Designing powerful tools that support cooking activities has rapidly gained popularity due to the massive amounts of available data, as well as recent advances in machine learning that are capable of analyzing them. In this paper, we propose a cross-modal retrieval model aligning visual and textual data (like pictures of dishes and their recipes) in a shared representation space. We describe an effective learning scheme, capable of tackling large-scale problems, and validate it on the Recipe1M dataset containing nearly 1 million picture-recipe pairs. We show the effectiveness of our approach regarding previous state-of-the-art models and present qualitative results over computational cooking use cases.
50 citations
TL;DR: A model where both ubiquitylation and SUMOylation of Tax control the shuttling of Tax and NEMO between the cytoplasmic and nuclear compartments is proposed.
50 citations
TL;DR: This article will present the Delphic Oracle in the first part and its actions with its prophecy seekers and the Oracle's staff, including the Pythia, and compare and contrast the oracular practice in Delphi with the Delphi method.
50 citations
TL;DR: A new learning algorithm probabilistic self-organizing map (PRSOM) using a Probabilistic formalism for topological maps that approximates the density distribution of the input set with a mixture of normal distributions is proposed.
50 citations
Authors
Showing all 3635 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Joshua A. Salomon | 107 | 435 | 124708 |
| Serge Hercberg | 106 | 942 | 56791 |
| Pilar Galan | 97 | 628 | 46782 |
| Patrice Simon | 89 | 264 | 66332 |
| Yuh-Shan Ho | 80 | 346 | 48242 |
| Pierre-Louis Taberna | 68 | 209 | 34293 |
| J. David Spence | 67 | 399 | 17671 |
| Mathilde Touvier | 65 | 321 | 31586 |
| Sébastien Czernichow | 64 | 274 | 14654 |
| Emmanuelle Kesse-Guyot | 57 | 338 | 10914 |
| Valentin Petrov | 54 | 743 | 12127 |
| Sandrine Bertrais | 53 | 169 | 9618 |
| Paco Bustamante | 52 | 295 | 9136 |
| Khaled Ezzedine | 50 | 313 | 8939 |
| Arnaud Fontanet | 50 | 204 | 11964 |