Publications

2018

• Estimation d'un circuit électrique équivalent, à résistances et capacités thermiques, d'un bâtiment pour le contrôle optimal du chauffage du bâtiment
  
  • Nabil Tahar
  • Jicquel Jean-Marc
  • Girard Alexandre
  • Roueff François
  , 2018, pp.https://permalink.orbit.com/RenderStaticFirstPage?XPN=S5GmjW98%252BeXWqxLm4QBXD3fDUqlXTJ5uwQdFuycu4uk%3D%26n%3D1&id=0&base=FAMPAT. The invention relates to a method for determining a thermal model of a building equipped with a heating installation, in particular for energy diagnosis or optimization of the heating of said building, wherein: - An overall energy consumption load curve (CDC) is obtained from at least one energy consumption meter (COC), In predefined time steps, said load curve being capable of containing a consumption payload (Qu) for heating the building by said installation as well as a load for consumption needs not linked to the heating of the building, - And of one or more connected objects associated with respective appliances, which consume energy and are not controlled for a heat supply (ACN), at least one item of information on the switching on or off of said appliances (ACN), And time intervals are detected in the load curve (CDC) during which the connected objects inform of a stop state of the respective apparatuses, in order to obtain a first estimate of said payload (Qu), which makes it possible to iteratively correct the model for its optimization.
• Generalization Bounds for Minimum Volume Set Estimation based on Markovian Data, ISAIM, International Symposium on Artificial Intelligence and Mathematics proceedings, 1-7
  
  • Bertail Patrice
  • Ciołek Gabriela
  • Clémençon Stéphan
  , 2018.
• An In-depth Comparison of Group Betweenness Centrality Estimation Algorithms
  
  • Chehreghani Mostafa Haghir
  • Bifet Albert
  • Abdessalem Talel
  , 2018, pp.2104-2113.
• Audio-Visual Analysis of Music Performances
  
  • Duan Zhiyao
  • Essid Slim
  • Liem Cynthia
  • Richard Gael
  • Sharma Gaurav
  IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2018.
• Statistical Inference with Ensemble of Clustered Desparsified Lasso
  
  • Chevalier Jérôme-Alexis
  • Salmon Joseph
  • Thirion Bertrand
  , 2018. Medical imaging involves high-dimensional data, yet their acquisition is obtained for limited samples. Multivariate predictive models have become popular in the last decades to fit some external variables from imaging data, and standard algorithms yield point estimates of the model parameters. It is however challenging to attribute confidence to these parameter estimates, which makes solutions hardly trustworthy. In this paper we present a new algorithm that assesses parameters statistical significance and that can scale even when the number of predictors p ≥ 10^5 is much higher than the number of samples n ≤ 10^3 , by lever-aging structure among features. Our algorithm combines three main ingredients: a powerful inference procedure for linear models –the so-called Desparsified Lasso– feature clustering and an ensembling step. We first establish that Desparsified Lasso alone cannot handle n p regimes; then we demonstrate that the combination of clustering and ensembling provides an accurate solution, whose specificity is controlled. We also demonstrate stability improvements on two neuroimaging datasets.
• Identifier Randomization: An Efficient Protection Against CAN-Bus Attacks
  
  • Danger Jean-Luc
  • Karray Khaled
  • Guilley Sylvain
  • Elaabid M. Abdelaziz
  , 2018, pp.219-254. (10.1007/978-3-319-98935-8_11)
  DOI : 10.1007/978-3-319-98935-8_11
• Adding Missing Words to Regular Expressions
  
  • Rebele Thomas
  • Tzompanaki Aikaterini
  • Suchanek Fabian M.
  , 2018.
• Assessing Locator/Identifier Separation Protocol interworking performance through RIPE Atlas
  
  • Li Yue
  • Iannone Luigi
  , 2018.
• Operations research and voting theory
  
  • Hudry Olivier
  , 2018, pp.20-41.
• A Survey on Data-driven Dictionary-based Methods for 3D Modeling
  
  • Lescoat Thibault
  • Ovsjanikov Maks
  • Memari Pooran
  • Thiery Jean-Marc
  • Boubekeur Tamy
  Computer Graphics Forum, Wiley, 2018. Dictionaries are very useful objects for data analysis, as they enable a compact representation of large sets of objects through the combination of atoms. Dictionary-based techniques have also particularly benefited from the recent advances in machine learning, which has allowed for data-driven algorithms to take advantage of the redundancy in the input dataset and discover relations between objects without human supervision or hard-coded rules. Despite the success of dictionary-based techniques on a wide range of tasks in geometric modeling and geometry processing, the literature is missing a principled state-of-the-art of the current knowledge in this field. To fill this gap, we provide in this survey an overview of data-driven dictionary-based methods in geometric modeling. We structure our discussion by application domain: surface reconstruction, compression, and synthesis. Contrary to previous surveys, we place special emphasis on dictionary-based methods suitable for 3D data synthesis, with applications in geometric modeling and design. Our ultimate goal is to enlight the fact that these techniques can be used to combine the data-driven paradigm with design intent to synthesize new plausible objects with minimal human intervention. This is the main motivation to restrict the scope of the present survey to techniques handling point clouds and meshes, making use of dictionaries whose definition depends on the input data, and enabling shape reconstruction or synthesis through the combination of atoms.
• Ultra-low noise dual-frequency VECSEL at telecom wavelength using fully correlated pumping
  
  • Liu Hui
  • Gredat Grégory
  • De Syamsundar
  • Fsaifes Ihsan
  • Ly Aliou
  • Vatré Rémy
  • Baili Ghaya
  • Bouchoule Sophie
  • Goldfarb Fabienne
  • Bretenaker Fabien
  Optics Letters, Optical Society of America - OSA Publishing, 2018, 43 (8), pp.1794. An ultra-low intensity and beatnote phase noise dual-frequency vertical-external-cavity surface-emitting laser is built at telecom wavelength. The pump laser is realized by polarization combining two single-mode fibered laser diodes in a single-mode fiber, leading to a 100% in-phase correlation of the pump noises for the two modes. The relative intensity noise is lower than −140 dB∕Hz, and the beatnote phase noise is suppressed by 30 dB, getting close to the spontaneous emission limit. The role of the imperfect cancellation of the thermal effect resulting from unbalanced pumping of the two modes in the residual phase noise is evidenced. (10.1364/OL.43.001794)
  DOI : 10.1364/OL.43.001794
• Perception of Emotions and Body Movement in the Emilya Database
  
  • Fourati Nesrine
  • Pelachaud Catherine
  IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2018, 9 (1), pp.90-101. In this paper, we examine the perception of emotions as well as the characterization and the classification of emotional body expressions based on perceptual body cues ratings. Emilya (EMotional body expression In daILY Actions), a database of body expressions of 8 emotions (including Neutral) in 7 daily actions performed by 11 actors, is used for these purposes. A perceptual study is conducted to explore four issues: 1) how expressed emotions are perceived by humans, 2) how emotion recognition by humans differs across daily actions, 3) how expressed emotions are characterized by humans through body cues, and 4) how emotions are automatically classified based on human rating of body cues. Across all the actions, most of the expressed emotions were correctly identified, but some were confused (e.g. Shame and Sadness). Confusions occurring at the level of emotion perception may be due to a lack of contextual factors (Emilya contains body movement of daily actions without reference to a context), to a similarity of bodily expressions, but also to the lack of other modalities that may contribute to a better recognition of bodily expression of these emotions (e.g. facial expressions). In the paper, we detail and discuss the results from these different studies. (10.1109/TAFFC.2016.2591039)
  DOI : 10.1109/TAFFC.2016.2591039
• Preliminary study of CEDBT and CESM performances using simulated analytical contrast uptakes
  
  • Sanchez de La Rosa Ruben
  • Carton A.-K.
  • Milioni de Carvalho P.
  • Li Z.
  • Muller S.
  • Bloch Isabelle
  , 2018, pp.792-795.
• Computing Contrast on Conceptual Spaces
  
  • Sileno Giovanni
  • Bloch Isabelle
  • Atif Jamal
  • Dessalles Jean-Louis
  , 2018, pp.11-25.
• Ubiquitous Artificial Intelligence and Dynamic Data Streams
  
  • Bifet Albert
  • Read Jesse
  , 2018, pp.1-6.
• OP VI–2 Organ-specific integrative exposure assessment for radio-frequency electromagnetic fields: general population exposure and dose contribution of various sources
  
  • van Wei Luuk
  • Liorni I
  • Capstick Myles
  • Thielens Arno
  • Aerts Sam
  • Joseph W.
  • Wiart Joe
  • Cardis Elisabeth
  • Vermeulen Roel
  Occupational & Environmental Medicine, 2018, 75 (1). <p>Background/aim The daily dose of radio-frequency electromagnetic fields (RF-EMF) received by the human body depends on source, use, and body characteristics. We developed a model capable of estimating total RF-EMF dose (J/kg) for 64 body tissues as well as the contribution of specific sources to total dose based on personal characteristics, source characteristics, and scenarios of use.</p> <p> </p> <p>Methods The Integrated Exposure Model (IEM) uses personal characteristics and scenarios of use to estimate daily RF-EMF dose from mobile phones, DECT phones, tablets, body area networks, laptops, on/near body devices, smartwatches, virtual reality headsets, WiFi routers, and far field sources. Specific absorption rates (SAR) in various tissues were calculated for each source using transfer algorithms based on source and body characteristics. These were then adjusted for scenarios of use. Lastly, the model calculated the integrative dose from all sources combined and the relative contribution of each source. To estimate population exposure levels, we used data from an online survey on use of mobile communication devices deployed in four countries (France, the Netherlands, Spain, Switzerland).</p> <p> </p> <p>Results The online survey resulted in a dataset of 1768 participants, with a mean age of 52 years. Preliminary results indicate an average whole body dose of 0.15 J/kg per day, and an average whole brain dose of 0.09 J/kg per day. Women tended to have slightly higher doses than men, particularly in the youngest age group, due to higher reported use of mobile phones for voice and data. Source specific contribution varied depending on tissue. For the brain, the highest contribution (32%) came from mobile phones. Phone, tablet, and WiFi use together account for 91% of total brain dose. For the whole body: phone data use, WiFi, tablet, and laptop use accounted for 97% of the average total dose in our population.</p> <p> </p> <p>Conclusion We developed a model capable of estimating integrative RF-EMF dose from both current and novel devices. Using survey data on device use we were able to estimate average whole brain (0.09 J/kg) and average whole body (0.15 J/kg) dose. Device output powers in various scenarios of use were found to strongly influence model results.</p>
• BGP Extended Communities LCAF Type
  
  • Saucez Damien
  • Iannone Luigi
  , 2018.
• Large-signal capabilities of an optically injection-locked semiconductor laser using gain lever
  
  • Sarraute Jean-Maxime
  • Schires Kevin
  • Larochelle Sophie
  • Grillot Frédéric
  , 2018.
• The relation between MOS and pairwise comparisons and the importance of cross-content comparisons
  
  • Zerman Emin
  • Hulusic Vedad
  • Valenzise Giuseppe
  • Mantiuk Rafał
  • Dufaux Frédéric
  , 2018, 30 (14), pp.1-6. Subjective quality assessment is considered a reliable method for quality assessment of distorted stimuli for several mul-timedia applications. The experimental methods can be broadly categorized into those that rate and rank stimuli. Although ranking directly provides an order of stimuli rather than a continuous measure of quality, the experimental data can be converted using scaling methods into an interval scale, similar to that provided by rating methods. In this paper, we compare the results collected in a rating (mean opinion scores) experiment to the scaled results of a pairwise comparison experiment, the most common ranking method. We find a strong linear relationship between results of both methods, which, however, differs between content. To improve the relationship and unify the scale, we extend the experiment to include cross-content comparisons. We find that the cross-content comparisons reduce the confidence intervals for pairwise comparison results, but also improve the relationship with mean opinion scores. (10.2352/ISSN.2470-1173.2018.14.HVEI-517)
  DOI : 10.2352/ISSN.2470-1173.2018.14.HVEI-517
• Regional Control of Probabilistic Cellular Automata
  
  • Bagnoli Franco
  • Dridi Sara
  • El Yacoubi Samira
  • Rechtman Raul
  , 2018, 11115.
• Far-from-Equilibrium Route to Superthermal Light in Bimodal Nanolasers
  
  • Marconi Mathias
  • Javaloyes Julien
  • Hamel Philippe
  • Raineri Fabrice
  • Levenson Ariel
  • Yacomotti Alejandro M.
  Physical Review X, American Physical Society, 2018, 8 (1). (10.1103/PhysRevX.8.011013)
  DOI : 10.1103/PhysRevX.8.011013
• Algorithms for concurrent systems
  
  • Kuznetsov Petr
  • Guerraoui Rachid
  , 2018.
• Adaptive Window Strategy for Topic Modeling in Document Streams
  
  • Murena Pierre-Alexandre
  • Al-Ghossein Marie
  • Abdessalem Talel
  • Cornuéjols Antoine
  , 2018.
• 4 Leaf Clover RenderingImproving Monte Carlo Path Tracing with Double hierarchies and collaborative denoising
  
  • Boubekeur Tamy
  , 2018.
• Procédé de détection de défaillances et limitations des capteurs à l'aide des communications Car2X
  
  • Monteuuis Jean-Philippe
  • Mafrica Stefano
  • Labiod Houda
  • Servel Alain
  • Zhang Jun
  , 2018.