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Lundi 2 Juillet
Heure: 14:00 - 15:00
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: Multi-Arabic Dialect Applications and Resources
Description: Nizar Habash We present the Multi-Arabic Dialect Applications and Resources (MADAR) Project. MADAR is an effort to build parallel resources for 25 Arab city dialects including lexicons, parallel corpora, and orthographic and morphological annotation guidelines. The created resources have been used to develop dialect identification and machine translation applications. We discuss the challenges facing Arabic dialect modeling, as well as our solutions and results.
Mercredi 4 Juillet
Heure: 14:00 - 15:00
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: Cost Efficient Prediction of Wine Quality - A Machine Learning Approach
Description: Razvan Andonie The quality of wines can be assessed both from chemical/biological tests and sensory tests (which rely mainly on human experts). Determining which is the subset of tests to be used is a difficult problem. Each test has its own contribution for predicting the quality of wines and, in addition, its own cost. We use our own database, consisting of 32 wine characteristics applied to 180 wine samples. In addition we use wine quality labels assigned by a wine expert. To the extent of our knowledge, this is the first study of this kind on wines from Washington State, and also the first wine study in general to include cost minimization of the measurements as a goal. Our approach is based on two stages. First, we identify reasonably good classifiers (from a given set of classifiers). Next, we search for the optimal subset of features to maximize the performance of the best classifier and also minimize the overall cost of the measurements. As a result, through our method we can answer queries like ``the best performing subset of tests for a given threshold cost’'.
Jeudi 5 Juillet
Heure: 12:15 - 13:30
Lieu: Amphi Copernic, Institut Galilée, Université de Villetaneuse
Résumé: Towards more Autonomous Robots
Description: Eduardo Morales With the increasing incorporation of robots into daily life
activities, autonomy and interaction with non expert users play a
central role in robotics research. In this talk, I will describe two
developments towards this aim. First I will describe how a robot can
autonomously extract information from Internet to decide where to find
an unknown object and how to learn on-line a recognition model.
In the second part of the talk I will describe how a non-expert user
can train a robot to perform simple tasks combining programming by
demonstration, reinforcement learning and user's feedback.
Lundi 3 Septembre
Heure: 16:00 - 17:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: Analysing large-scale Research Data with Semantic Technologies
Description: Francesco OSBORNE Semantic Technologies provide useful solutions for the analysis of big scholarly data since they facilitate the integration of large datasets and support tasks such as Natural Language Processing and Information Retrieval. In particular, ontologies that describe research topics and their relationships proved to be effective tools for making sense of research dynamics, classifying publications, detecting research communities, and forecasting research trends. However, these knowledge bases are very expensive to craft and tend to become obsolete fairly quickly.
In my talk, I will discuss the automatic approach that we designed to generate and update the Computer Science Ontology (CSO), a large-scale ontology of research topics including about 25K concepts. CSO has been used for supporting Springer Nature in classifying editorial products, informing marketing decisions, and evolving their internal taxonomy. I will present some systems adopting this knowledge base and describe their effect on the workflow of a major publishing company. I will also discuss the advantage of combining Machine Learning and Semantic Technologies for addressing complex tasks such as predicting research trends and forecasting technology migrations.
Jeudi 13 Septembre
Heure: 10:15 - 11:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: CoGITARe
Description: Flavien Breuvart Mon ARNJCJC CoGITARe a été accepté cet été. Ce séminaire a pour but de présenter le projet, ses objectifs et ses différentes facettes en essayant de rester haut niveau.
Jeudi 20 Septembre
Heure: 10:15 - 11:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: GdT : SL=L
Description: Paulin groupe de travail sur le résultat d'égalité de classes SL=L

(Annonce très tardive car oubliée, désolé...)
Lundi 24 Septembre
Heure: 15:00 - 16:00
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: A UML-based Proposal for IoT System Requirements Specification
Description: Gianna Reggio The talk presents a preliminary version of IotReq, a method for the elicitation and specification of the requirements for an IoT system.

The first task suggested by IotReq is the modelling of the domain, using the UML and following the service-oriente d paradigm, then the goals of the IoT system to build are elicited and specified, again using the UML and extending the domain model, producing a specification of the functional requirements.

IotReq also provides preliminary indications for specifying the technological nonfunctional requirements.

A case study, the specication of the requirements for a system to support the Genoa’s Science Festival is presented too.
Mardi 25 Septembre
Heure: 12:30 - 13:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: Modèles d'optimisation pour le transport urbain "flexible"
Description: Yasmin A. Rios-Solis Je présenterai des problèmes de transport urbain (bus) qui se trouvent
dans un contexte “flexible” ou plutôt, “désordonné”:
chauffeurs absents, événements inattendus qui arrivent aux véhicules,
pas de voie spéciale pour les bus, presque pas d’arrêts et
compétition entre compagnies de transport. Pour ces problèmes, il faut
de nouveau modèles d’optimisation, des preuves de complexité et de
nouvelles méthodes de résolution. Au lieu de rentrer dans les détails
mathématiques, je présenterai plutôt les thèmes de recherche qui
émergent de ce contexte flexible.
Heure: 12:30 - 15:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: GADTs
Description: Flavien Il s'agit d'une présentation général des GADTs par Flavien, avec une explication de leurs intérêts pratique. Cela sera suivit d'un cas d'étude présenté par Jean-Vincent sur lequel on pourra réfléchir tous ensemble. Le créneau est long, car on ira manger entre les deux parties.
Jeudi 27 Septembre
Heure: 15:30 - 17:00
Lieu: Salle A303, bâtiment A, Université de Villetaneuse
Résumé: Arrows
Description: Exequiel Rivas Using monads for structuring computational effects had a big impact in the functional programming community. Arrows (Hughes 2000) are a generalisation of monads which provides support for computational effects that may be partially static. This talk will begin with an introduction on the subject, and then continue to discuss one the possible semantics of arrows from a categorical perspective.