Dans le cadre d\u2019une visite du consortium de recherche Fran\u00e7ais ATLANSTIC 2020, nous aurons 4 pr\u00e9sentations selon le programme suivant<\/p>\n\n\n\n
Titre:<\/strong> Theoretical Computer Science and Applications in Bioinformatics<\/p>\n\n\n\n R\u00e9sum\u00e9 : <\/strong>Walk on your Two LegsR\u00e9sum\u00e9: I will present a small sample of the activities of the ComBi (Combinatorics and Bioinformatics) group at LS2N, University of Nantes.Doing that, my goal is to show that methodology is highly important in modern bioinformatics, and therefore should not be underrated \u2013 or, even worse, ignored. In particular, using clever (possibly ad hoc) data structures and designing fine-tuned algorithms (e.g. on sequences, on graphs) is essential in this domain. Doing so, one can provide fast, scalable and reliable software solutions. I will illustrate the above by different examples, namely problems arising in mass spectrometry, genome rearrangements and metagenomics Titre:<\/strong> Towards Sustainable Software: an architecting approach<\/p>\n\n\n\n R\u00e9sum\u00e9:<\/strong> Designing, developing and maintaining qualified software systems, with a satisfactory longevity and reasonable costs has always been a major challenge. This issue is even more crucial and riskier in today’s fast-moving, complex and multi-user environments. In this presentation, I\u2019ll present an approach that aims at enabling software systems to be easily and intrinsically responsive to the need for changes. The approach relies on two fundamental principles: (1) making architectures inherently adaptable\/adaptable by design, and (2) architecting software adaptability and evolution as a separate concern from other architectural concerns. In particular, I use architectural and meta-modelling approaches to different architectural styles to separate architectural concerns, and I illustrate the approach on the migration of legacy systems towards SaaS multitenant and micro-services architectural styles. Conf\u00e9rencier<\/strong>: Jean-Baptiste Fasquel, Universit\u00e9 d\u2019Angers <\/p>\n\n\n\n Titre :<\/strong> Image content understanding, Structural information and Graphs.<\/p>\n\n\n\n R\u00e9sum\u00e9:<\/strong> Image content understanding remains a tedious task in various application domains. During past decades, most interpretation algorithms have focused on feature based techniques involving description vectors to be managed using machine learning techniques. Relationships between entities composing scenes have been often ignored although they bring useful information about the structure of images. In this talk, we will discuss about the relevance of such relationships (spatial, geometric, photometric\u2026) and their exploitation using approaches that can be based on inexact (hyper)graph matching. These aspects will be illustrated using particular applications, mainly related to medical image analysis. Perspectives concern the coupling of such relationships with deep learning, as shortly discussed at the end of the talk. Titre:<\/strong> autour de l\u2019IA et du traitement de la langue naturelle<\/p>\n\n\n\n R\u00e9sum\u00e9:<\/strong> <\u00e0 venir> <\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-4919","evenement","type-evenement","status-publish","hentry"],"acf":[],"yoast_head":"\n
Le programme pr\u00e9liminaire:<\/strong><\/p>\n\n\n\n
Heure:<\/strong> 11:30 – 12:00 Conf\u00e9rencier:<\/strong> Guillaume Fertin, Universit\u00e9 de Nantes<\/p>\n\n\n\n
Heure<\/strong>: 12:00 – 12:30 Pause lunch
Heure<\/strong>: 12:30 – 13:00 Conf\u00e9renci\u00e8re<\/strong>: Dalila Tamzalit, L2SN, Universit\u00e9 de Nantes <\/p>\n\n\n\n
Heure:<\/strong> 13:30 – 14:00 <\/p>\n\n\n\n
Heure:<\/strong> 13:30 – 14:00 Conf\u00e9rencier<\/strong> : Anthony Larcher, Universit\u00e9 du Maine<\/p>\n\n\n\n