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Boosting a Bridge Artificial Intelligence

Veronique Ventos, Yves Costel, Olivier Teytaud, Solene Thepaut Ventos
2017 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)  
Bridge is an incomplete information game which is complex both for humans and for computer bridge programs. The purpose of this paper is to present our work related to the adaptation to bridge of a recent methodology used for boosting game Artificial Intelligence (AI) by seeking a random seed, or a probability distribution on random seeds, better than the others on a particular game. The bridge AI Wbridge5 developed by Yves Costel has been boosted with the best seed found on the outcome of
more » ... experiments and has won the World Computer-Bridge Championship in September 2016. * Corresponding author: ventos@lri.fr † Now at: google 1 Jeopardy! is a game consisting of finding a question from clues constituting the Response expressed in natural language. In the present section, we introduce the prerequisites, namely bridge, computer bridge and the seed methodology.
doi:10.1109/ictai.2017.00193 dblp:conf/ictai/VentosCTV17 fatcat:kutjhxnk6vcvvm2sc5mejgvany

Development Of C-Type Lectin Oriented Surfaces For High Avidity Glycoconjugates: Towards Mimicking Multivalent Interactions On The Cell Surface [article]

Vanessa Porkolab, Carlo Pifferi, Ieva Sutkeviciute, Stefania Ordanini, Marwa Taouai, Michel Thepaut, Corinne Vives, Mohammed Benazza, Anna Bernardi, Olivier Renaudet, Franck Fieschi
2019 bioRxiv   pre-print
Multivalent interactions between complex carbohydrates and oligomeric C-type lectins govern a wide range of immune responses. Up to date, standard SPR (surface plasmon resonance) competitive assays have largely been to evaluate binding properties from monosaccharide units (low affinity, mM) to multivalent elemental antagonists (moderate affinity, μM). Herein, we report typical case-studies of SPR competitive assays showing that they underestimate the potency of glycoclusters to inhibit the
more » ... action between DC-SIGN and immobilized glycoconjugates. This paper describes the design and implementation of a SPR direct interaction over DC-SIGN oriented surfaces, extendable to other C-type lectin surfaces as such Langerin. This setup provides a microscopic overview of intrinsic avidity generation emanating simultaneously from multivalent glycoclusters and from DC-SIGN tetramers that are organized in nanoclusters on the cell membrane. For this purpose, covalent biospecific capture of DC-SIGN via StreptagII /StrepTactin interaction offers the preservation of tetrameric DC-SIGN and the accessibility/functionality of all active sites. From the tested glycoclusters libraries, we demonstrated that the scaffold architecture, the valency and the glycomimetic-based ligand are crucial to reach nanomolar affinities for DC-SIGN. The glycocluster 3.D illustrates the tightest binding partner in this set for a DC-SIGN surface (Kd= 18 nM). Moreover, the selectivity at monovalent scale of glycomimetic D can be easily analyzed at multivalent scale comparing its binding over different C-type lectin immobilized surfaces. This approach may give rise to novel insights into the multivalent binding mechanisms responsible to avidity and make a major contribution to the full characterization of the binding potency of promising specific and multivalent immunomodulators.
doi:10.1101/780452 fatcat:u3l34niwpjcz3ofj4unlavncvq

Skin temperature from the Thermal Infrared Sounder IASI

Sarah Safieddine, Ana Claudia Parracho, Maya George, Filipe Aires, Victor Pellet, Lieven Clarisse, Simon Whitburn, Olivier Lezeaux, Jean-Noel Thepaut, Hans Hersbach, Gabor Radnoti, Frank Goettsche (+5 others)
2019 Atmospheric Measurement Techniques Discussions  
<p><strong>Abstract.</strong> Skin temperature (Tskin) derived from infrared sensors on board satellites provides a continuous view of Earth's surface day and night and allows for the monitoring of global temperature changes relevant for climate trends. Tskin from the Infrared Atmospheric Sounding Interferometer (IASI) has not been properly exploited to date to assess its long-term spatio-temporal variability and no current homogenous Tskin record from IASI exists. In this study, we present a
more » ... st retrieval method of Tskin based on an artificial neural network from a set of IASI channels selected using the information theory/entropy reduction technique. We compare and validate our IASI Tskin product with that from EUMETSAT Level 2, ECMWF Reanalysis ERA5, SEVIRI land-surface temperature products, as well as ground measurements. Our results show good correlation between the IASI neural network product and the datasets used for validation, with a standard deviation between 1 and 4 °C. This method can be applied to other infrared measurements, and allows for the construction of a robust Tskin dataset, making it suitable for trend analysis.</p>
doi:10.5194/amt-2019-185 fatcat:n3q66udrujeyhmfvy67bey2fca

Copernicus Sentinel-2A Calibration and Products Validation Status

Ferran Gascon, Catherine Bouzinac, Olivier Thépaut, Mathieu Jung, Benjamin Francesconi, Jérôme Louis, Vincent Lonjou, Bruno Lafrance, Stéphane Massera, Angélique Gaudel-Vacaresse, Florie Languille, Bahjat Alhammoud (+11 others)
2017 Remote Sensing  
As part of the Copernicus programme of the European Union (EU), the European Space Agency (ESA) has developed and is currently operating the Sentinel-2 mission that is acquiring high spatial resolution optical imagery. This paper provides a description of the calibration activities and the current status of the mission products validation activities. Measured performances, from the validation activities, cover both Top-Of-Atmosphere (TOA) and Bottom-Of-Atmosphere (BOA) products. Results
more » ... d in this paper show the good quality of the mission products both in terms of radiometry and geometry and provide an overview on next mission steps related to data quality aspects. between minimizing cloud cover and ensuring suitable sun illumination. An overview of the MSI imaging payload is provided in the following section. The Sentinel-2 satellites will systematically acquire observations over land and coastal areas from −56 ° to 84 ° latitude including islands larger 100 km 2 , EU islands, all other islands less than 20 km from the coastline, the whole Mediterranean Sea, all inland water bodies and all closed seas. Over specific calibration sites, for example DOME-C in Antarctica, additional observations will be made. The two satellite units will work on opposite sides of the orbit. Sentinel-2A launch took place in June 2015 and Sentinel-2B is foreseen beginning 2017. Therefore, this paper focuses only on the performances achieved by Sentinel-2A. The availability of products with good data quality performances (both in terms of radiometry and geometry accuracies) has a paramount importance for many applications. This is indeed a key enabling factor for an easier exploitation of time-series, inter-comparison of measurements from different sensors or detection of changes in the landscape. Calibration and validation (Cal/Val) corresponds to the process of updating and validating on-board and on-ground configuration parameters and algorithms to ensure that the product data quality requirements are met. This paper provides a description of the calibration activities and the current status, one year after Sentinel-2A launch, of the mission products validation activities. Measured performances, derived from the validation activities, have been estimated for both Top-Of-Atmosphere (TOA) and Bottom-Of-Atmosphere (BOA) products (referred respectively as Level-1 and Level-2A and further described later in this paper). . Multi-Spectral Instrument Overview This section provides a brief overview of Sentinel-2 Multi-Spectral Instrument (MSI). It aims at giving to the reader the basis required to fully understand the measured performances and the Calibration and Validation (Cal/Val) approach. MSI Design The MSI instrument design has been driven by the large swath requirement together with the demanding geometrical and spectral performances of the measurements. It is based on a push-broom concept, featuring a Three-Mirror Anastigmatic (TMA) telescope feeding two focal planes spectrally separated by a dichroic filter, as shown on Figure 1 . One focal plane includes the Visible and Near-Infrared (VNIR) bands and the other one the Short-Wave Infrared (SWIR) bands. Figure 1. MSI internal configuration. On the left, full instrument view and optical path construction to the SWIR/VNIR (see §2.2) splitter and focal planes. Spectral Bands and Resolution Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: Overlapping area = 98 pixels @ 20m 10 bands B/H cross-detector B/H cross-band Nb pixels / detector module: 2592 (10m) or 1296 (20m -60m) Satellite track YLOS XLOS ZLOS ψX ψY Viewing direction Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted:
doi:10.3390/rs9060584 fatcat:fglsduu6g5bjpd6nmxpspa2hfy

Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI

Sarah Safieddine, Ana Claudia Parracho, Maya George, Filipe Aires, Victor Pellet, Lieven Clarisse, Simon Whitburn, Olivier Lezeaux, Jean-Noël Thépaut, Hans Hersbach, Gabor Radnoti, Frank Goettsche (+6 others)
2020 Remote Sensing  
Surface skin temperature (Tskin) derived from infrared remote sensors mounted on board satellites provides a continuous observation of Earth's surface and allows the monitoring of global temperature change relevant to climate trends. In this study, we present a fast retrieval method for retrieving Tskin based on an artificial neural network (ANN) from a set of spectral channels selected from the Infrared Atmospheric Sounding Interferometer (IASI) using the information theory/entropy reduction
more » ... chnique. Our IASI Tskin product (i.e., TANN) is evaluated against Tskin from EUMETSAT Level 2 product, ECMWF Reanalysis (ERA5), SEVIRI observations, and ground in situ measurements. Good correlations between IASI TANN and the Tskin from other datasets are shown by their statistic data, such as a mean bias and standard deviation (i.e., [bias, STDE]) of [0.55, 1.86 °C], [0.19, 2.10 °C], [−1.5, 3.56 °C], from EUMETSAT IASI L-2 product, ERA5, and SEVIRI. When compared to ground station data, we found that all datasets did not achieve the needed accuracy at several months of the year, and better results were achieved at nighttime. Therefore, comparison with ground-based measurements should be done with care to achieve the ±2 °C accuracy needed, by choosing, for example, a validation site near the station location. On average, this accuracy is achieved, in particular at night, leading to the ability to construct a robust Tskin dataset suitable for Tskin long-term spatio-temporal variability and trend analysis.
doi:10.3390/rs12172777 fatcat:vgmo2d34xvatzjtt22k25wl664

A Co-design Approach for a Rehabilitation Robot Coach for Physical Rehabilitation Based on the Error Classification of Motion Errors

Maxime Devanne, Sao Mai Nguyen, Olivier Remy-Neris, Beatrice Le Gals-Garnett, Gilles Kermarrec, Andre Thepaut
2018 2018 Second IEEE International Conference on Robotic Computing (IRC)  
The rising number of the elderly incurs growing concern about healthcare, and in particular rehabilitation healthcare. Assistive technology and assistive robotics in particular may help to improve this process. We develop a robot coach capable of demonstrating rehabilitation exercises to patients, watch a patient carry out the exercises and give him feedback so as to improve his performance and encourage him. The HRI of the system is based on our study with a team of rehabilitation therapists
more » ... d with the target population.The system relies on human motion analysis. We develop a method for learning a probabilistic representation of ideal movements from expert demonstrations. A Gaussian Mixture Model is employed from position and orientation features captured using a Microsoft Kinect v2. For assessing patients' movements, we propose a real-time multi-level analysis to both temporally and spatially identify and explain body part errors. This analysis combined with a classification algorithm allows the robot to provide coaching advice to make the patient improve his movements. The evaluation on three rehabilitation exercises shows the potential of the proposed approach for learning and assessing kinaesthetic movements.
doi:10.1109/irc.2018.00074 dblp:conf/irc/DevanneNRGKT18 fatcat:m3g5tms33jczdgddfhupgfljsm

Éditorial

Mathilde Musard, Fabienne Brière, Vincent Grosstephan
2022 e journal de la recherche sur l'intervention en éducation physique et sport  
Yves-Félix Montagne, Valérie Michaud, Alain Mouchet, Mathilde Musard, Thèrèse Pérez-Roux, Marie-Paule Poggi, François Potdevin, Lionel Roche, Martin Roy, Christophe Schnitzler, Dominique Sénore, Antoine Thépaut  ...  , Pierre Trudel, Yves Travaillot, Sylvain Turcotte, François Vandercleyen, Claudia Verret, Ingrid Verscheure, Olivier Vors, Maël Virat, Nathalie Wallian, Cheikh Tidiane Wane. compose de quatre contributions  ... 
doi:10.4000/ejrieps.7857 fatcat:7spfupvd2ngvhigsvp2gsqx57a

Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI

Sarah Safieddine, Ana Claudia Parracho, Maya George, Filipe Aires, Victor Pellet, Lieven Clarisse, Simon Whitburn, Olivier Lezeaux, Jean-Noël Thépaut, Hans Hersbach, Gabor Radnoti, Frank Goettsche (+6 others)
2020
Surface skin temperature (Tskin) derived from infrared remote sensors mounted on board satellites provides a continuous observation of Earth's surface and allows the monitoring of global temperature change relevant to climate trends. In this study, we present a fast retrieval method for retrieving Tskin based on an artificial neural network (ANN) from a set of spectral channels selected from the Infrared Atmospheric Sounding Interferometer (IASI) using the information theory/entropy reduction
more » ... chnique. Our IASI Tskin product (i.e., TANN) is evaluated against Tskin from EUMETSAT Level 2 product, ECMWF Reanalysis (ERA5), SEVIRI observations, and ground in situ measurements. Good correlations between IASI TANN and the Tskin from other datasets are shown by their statistic data, such as a mean bias and standard deviation (i.e., [bias, STDE]) of [0.55, 1.86 °C], [0.19, 2.10 °C], [−1.5, 3.56 °C], from EUMETSAT IASI L-2 product, ERA5, and SEVIRI. When compared to ground station data, we found that all datasets did not achieve the needed accuracy at several months of the year, and better results were achieved at nighttime. Therefore, comparison with ground-based measurements should be done with care to achieve the ±2 °C accuracy needed, by choosing, for example, a validation site near the station location. On average, this accuracy is achieved, in particular at night, leading to the ability to construct a robust Tskin dataset suitable for Tskin long-term spatio-temporal variability and trend analysis.
doi:10.5445/ir/1000122992 fatcat:dh5if5d56bb2df2zvivaiigqyy

Éditorial

Marie-Paule Poggi, Mathilde Musard, Fabienne Brière-Guenoun, Nathalie Wallian, Yannick Lemonie
2015 e journal de la recherche sur l'intervention en éducation physique et sport  
Quidu, Michel Récopé, Richard Refuggi, Marie-Claude Rivard, Géraldine Rix, Jean-François Robin, Anne Roger, Sébastien Ruffié, Philippe Sarremejane, Jacques Saury, Carole Sève, André Terrisse, Antoine Thépaut  ...  , Sabine Thorel, Sylvain Turcott, Gilles Ulrich, Ingrid Verscheure, Joris Vincent, Olivier Vors, Nathalie Wallian Nous profitons de cet éditorial pour signaler une erreur qui s'est glissée dans le numéro  ... 
doi:10.4000/ejrieps.1356 fatcat:bb3ob4ul2bao7nqr6f7agp4rva

Éditorial

Benoît Lenzen, Marie-Paule Poggi, Nathalie Wallian, Mathilde Musard
2014 e journal de la recherche sur l'intervention en éducation physique et sport  
Antoine, Thorel Sabine, Uhlrich Gilles, Verscheure Ingrid, Vors Olivier, Wallian Nathalie Le prochain numéro est prévu en janvier 2015 avec des articles originaux que nous vous invitons cordialement à  ...  Moniotte Julien, Montagne Yves Félix, Mouchet Alain, Musard Mathilde, Poggi Marie-Paule, Poussin Bernard, Refuggi Richard, Rix Géraldine, Robin Jean-François, Ruffié Sébastien, Saury Jaques, Terrisse André, Thépaut  ... 
doi:10.4000/ejrieps.1820 fatcat:dpyjfeei4fdvlptjrrstjdiyg4

Éditorial

Marc Cloes, Alexandre Mouton, Benoît Lenzen
2021 SEPAPS 2020  
secondaire II (Daniel Deriaz/Yves Suter) Une étude de l'épistémologie pratique des professeurs au cours de l'enseignement des jeux sportif collectifs par débat d'idées à l'école élémentaire (Antoine Thépaut  ...  Theory Perspective Dynamique de la relation enseignant-élèves au cours d'une année scolaire en EPS en milieu « difficile » : intérêt d'une analyse multi-sources (Amélina Girard/Nathalie Gal-Petitfaux/Olivier  ... 
doi:10.25518/sepaps20.482 fatcat:ixrqzw4imra5vjasfyeuoj37ca

Assimilation variationnelle de données météorologiques en présence d'instabilité barocline

Florence Rabier
1993 La Météorologie  
Remerciements Que soient particulièrement remerciés pour leur participation à cette étude Olivier Talagrand, Philippe Courtier, Jean Pailleux, Pierre Bernardet et Jean-Noël Thépaut.  ...  Des résultats majeurs prouvant la viabilité d'une telle approche ont été obtenus sur des modèles de plus en plus sophistiqués par l'«école française» , 1990 Thépaut et Courtier, 1991; Thépaut et al.,  ...  Des idées pour améliorer les performances de la méthode, qui est pour l'instant trop coûteuse, et pour introduire les processus physiques sont actuellement testées (Courtier et Thépaut, 1992) .  ... 
doi:10.4267/2042/53378 fatcat:khwucjptlrhxjibtp2ls4umk74

Les relations entre Israël et l'Iran : un partenariat officieux dans un contexte d'hostilité affichée

Quentin Lenormand
2022 Revue Défense Nationale  
(6) ROY Olivier, « Iran, une politique étrangère à quatre niveaux », Esprit, n° 94/95 (10/11), 1984, p. 191-196.  ...  Charles, « 2011 : année de ruptures », in THÉPAUT Charles, Le monde arabe en morceaux.  ... 
doi:10.3917/rdna.hs08.0051 fatcat:nja2qfzxkngepdzsalmnvr3mje

Notes de lecture

2010 Documentaliste - Sciences de l'information  
Cavalier [74] Dispositifs info-communicationnels : questions de médiations documentaires / sous la dir. de Viviane Couzinet [70] Le Management de l'intelligence collective : vers une nouvelle gouvernance / Olivier  ...  contexte de l'analyse automatique de textes » (Luc Grivel), un point sur la théorie économique moderne de l'information (« Liberté d'information, démocratie participative et économie locale » par Yves Thépaut  ...  Olivier Zara souligne combien le rôle de la confiance est central pour obtenir une « coopération active ».  ... 
doi:10.3917/docsi.471.0070 fatcat:pkzdsatb6rhzblpje5s3wet744

La place des miniatures dans les échanges diplomatiques entre les grandes puissances européennes et la Papauté (XVIIe siècle – XVIIIe siècle)

Maëlig Chauvin
2019 Etudes Epistémè  
Le mardi 5 août 1664, Olivier Lefèvre d’Ormesson évoquait la remise de boîtes à portrait miniatures aux membres du cortège du légat lors de sa dernière audience : 7 Olivier Lefèvre d’Ormesson, Journal  ...  Le cadeau à connotation religieuse était alors préféré à la miniature étant donné le rôle particulier du nonce, à la fois politique et spirituel. 9 Corine Thépaut-Cabasset, « Les présents du roi : le faste  ... 
doi:10.4000/episteme.5276 fatcat:ffwlocsuxna65li6aigowcpgd4
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