Publications

2019

• Les Versions de Bases de Données
  
  • Abdessalem Talel
  • Bauzer-Medeiros Claudia
  • Cellary Wojtech
  • Manouvrier Maud
  • Rukoz Marta
  • Zamfiroiu Michel
  , 2019, pp.44-48. In 1990, W. Cellary and G. Jomier proposed the Database Version (DBV) approach, which allows to manage multiversion databases - those in which several versions of a set of data items coexist. Ever since, its model, theory and algorithms have been adopted in a multitude of research initiatives and publications, and have been applied to a variety of applications, in particular those in which there is a need for keeping track of parallel or (spatio)-temporal evolution of states of the world. This article presents an overview of the DBV approach, and some of the associated research initiatives throughout three decades, pointing out new potential directions. It has been written in tribute to Geneviève Jomier, Prof. Emeritus of The Université Paris-Dauphine, who left us in March 2018.
• Fast computation of Tukey trimmed regions and median in dimension p > 2
  
  • Liu Xiaohui
  • Mosler Karl
  • Mozharovskyi Pavlo
  Journal of Computational and Graphical Statistics, Taylor & Francis, 2019. (10.1080/10618600.2018.1546595)
  DOI : 10.1080/10618600.2018.1546595
• Game Theory for Networks: 8th International EAI Conference, GameNets 2019, Proceedings
  
  • Avrachenkov Konstantin
  • Huang Longbo
  • Marden Jason R.
  • Coupechoux Marceau
  • Giovanidis Anastasios
  , 2019. This book constitutes the refereed proceedings of the 8th EAI International Conference on Game Theory for Networks, GameNets 2019, held in Paris, France, in April 2019. The 8 full and 3 short papers presented were carefully reviewed and selected from 17 submissions. They are organized in the following topical sections: Game Theory for Wireless Networks; Games for Economy and Resource Allocation; and Game Theory for Social Networks. (10.1007/978-3-030-16989-3)
  DOI : 10.1007/978-3-030-16989-3
• Systematic Literature Review on Multi-Paradigm Modelling for Cyber-Physical Systems
  
  • Barisic Ankica
  • Savić Dušan
  • Al-Ali Rima
  • Ruchkin Ivan
  • Blouin Dominique
  • Cicchetti Antonio
  • Eslampanah Raheleh
  • Nikiforova Oksana
  • Abshir Mustafa
  • Challenger Moharram
  • Gomes Claudio
  • Erata Ferhat
  • Tekinerdogan Bedir
  • Amaral Vasco
  • Goulao Miguel
  , 2019.
• On approximating mathematical morphology operators via deep learning techniques
  
  • Velasco-Forero Santiago
  • Ponchon Bastien
  • Blusseau Samy
  • Angulo Jesus
  • Bloch Isabelle
  , 2019, pp.51. Mathematical Morphology (MM) is a well-established discipline whose aim is mainly to provide tools to characterise complex object via their shape/size features. This study addresses the problem of robust approximation of mathematical morphology (MM) operators by deep learning methods. We present two cases, (a) Asymmetric autoencoders for part-based approximations of classical MM in the sense of [1] and, (b) image-to-image translation networks [2] to produce robust MM operators in presence of noise.
• Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access
  
  • Tolli Antti
  • Ghauch Hadi
  • Kaleva Jarkko
  • Komulainen Petri
  • Bengtsson Mats
  • Skoglund Mikael
  • Honig Michael
  • Lahetkangas Eeva
  • Tiirola Esa
  • Pajukoski Kari
  IEEE Communications Magazine, Institute of Electrical and Electronics Engineers, 2019, 57 (1), pp.58-64. (10.1109/MCOM.2018.1700199)
  DOI : 10.1109/MCOM.2018.1700199
• On Plateaued Functions, Linear Structures, and Permutation Polynomials
  
  • Mesnager Sihem
  • Kaytannci K.
  • Ozbudak Ferruh
  , 2019.
• Knowledge Harvesting: Achievements and Challenges
  
  • Weikum Gerhard
  • Hoffart Johannes
  • Suchanek Fabian
  , 2019. This article gives an overview on knowledge harvesting: automatically constructing large high-quality knowledge bases from Internet sources. The first part reviews key principles and best-practice methods. The second part points out open challenges for future research. (10.1007/978-3-319-91908-9_13)
  DOI : 10.1007/978-3-319-91908-9_13
• Information, The Hidden Side of Life
  
  • Gaucherel Cedric
  • Gouyon Pierre-Henri
  • Dessalles Jean-Louis
  , 2019, pp.212. This book explores the unity of life. It proposes that the concept of information is the inner essence of what we today call life. The importance of information for our species is obvious. Human beings are highly dependent on information, constantly exchanging with conspecifics. In a less apparent way, we are the product of genetic and epigenetic information which determines our development in a given environment from a fertilized egg to the adult stage. Even less apparent is that information plays a determining role in ecosystems. This observation may include the prebiotic systems in which life emerged. Our claim is that Nature processes information continuously. This means that even beyond living entities, we can see messages and decoding procedures. Nature can be said to send messages to its own future and then to decode them. Nature “talks” to itself! The systematic organization of messages suggests that, in some respects, we should even speak of the “languages” of Nature.
• Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction
  
  • Ben Youssef Atef
  • Clavel Chloé
  • Essid Slim
  IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2019. This paper presents a supervised classification system for forecasting a potential user engagement breakdown in human-robot interaction. We define engagement breakdown as a failure to successfully complete a predefined interaction scenario, where the user leaves before the expected end. The goal is thus to detect as early as possible such a potential engagement breakdown during the interaction between a human and a humanoid robot. To this end, we exploit a dataset that we have collected in real-world conditions where a set of participants were left to spontaneously engage in an interaction with the robot. The dataset is labeled according to the presence/absence of engagement breakdown. This study investigates the use of a multimodal approach to this problem, where a set of non-verbal features is considered to characterize the users' behavior. The use of combined multimodal features is found to effectively improve the performance of the system. The optimal set of data streams useful for this task is the combination of the distance to the robot, gaze and head motion, as well as facial expressions and speech. We study the time extent over which a user's departure can be anticipated. We find that this ability to anticipate the departure depends on the window during which we observe the user behavior.
• Following and Analyzing a Human Being: On the Continuity and Singularity of an Individual
  
  • Kneubühler Marine
  • Piette Albert
  , 2019, pp.13-43. This chapter addresses three restrictions observed within the social sciences that prevent researchers from seeing human beings as such. It proposes an ontological argument in favor of following and analyzing human individuals. The chapter compares phenomenography with some phenomenological approaches in anthropology in order to insist on the methodological radicality of the former. As reflected in philosophy's classic debates, an anthropology that sets out to be anthropo-focused cannot separate an action, connection or experience from the person who performs and lives it. The chapter provides the methodological guidelines concerning, in particular, the possible ways of beginning a phenomenographic research which focuses on the rapper LK. It focuses on what calls a "videophenomenography", which corresponds to the moment where LK agreed to film himself, alone, during the creation of a verse. One particularly interesting device attempted was the realization of a "videophenomenography", in which LK agreed to film himself, alone, during a moment of creation.
• Computing Possible and Certain Answers over Order-Incomplete Data
  
  • Amarilli Antoine
  • Ba Mouhamadou Lamine
  • Deutch Daniel
  • Senellart Pierre
  Theoretical Computer Science, Elsevier, 2019, 797, pp.42-76. This paper studies the complexity of query evaluation for databases whose relations are partially ordered; the problem commonly arises when combining or transforming ordered data from multiple sources. We focus on queries in a useful fragment of SQL, namely positive relational algebra with aggregates, whose bag semantics we extend to the partially ordered setting. Our semantics leads to the study of two main computational problems: the possibility and certainty of query answers. We show that these problems are respectively NP-complete and coNP-complete, but identify tractable cases depending on the query operators or input partial orders. We further introduce a duplicate elimination operator and study its effect on the complexity results. (10.1016/j.tcs.2019.05.013)
  DOI : 10.1016/j.tcs.2019.05.013
• Tournez méninges
  
  • Zayana Karim
  Au fil des maths, APMEP, 2019. Du repérage sur le cercle à la mesure de l'épaisseur d'une ruban d'adhésif
• Audiovisual Analysis of Music Performances: Overview of an Emerging Field
  
  • Duan Zhiyao
  • Essid Slim
  • Liem Cynthia
  • Richard Gael
  • Sharma Gaurav
  IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2019, 36 (1), pp.63-73.
• Knowledge Representation and Model-based Image Understanding
  
  • Bloch Isabelle
  , 2019.
• Segmentation of retinal arterial bifurcations in 2D adaptive optics ophtalmoscopy images
  
  • Trimeche Iyed
  • Rossant Florence
  • Bloch Isabelle
  • Pâques M.
  , 2019, pp.1490-1494. The study of vascular morphometry requires segmenting vessels with high precision. Of particular clinical interest is the morphometric analysis of arterial bifurcations in Adaptive Optics Ophthalmoscopy (AOO) images of eye fundus. In this paper, we extend our previous approach for segmenting retinal vessel branches to the segmentation of bifurcations. This enables us to recover the microvascular tree and extract biomarkers that charactarize the blood flow. Segmentation results are shown to be within the range of intra- and inter-user variability, allowing a preliminary study on biomarkers derived from vessel diameter estimates at arterial bifurcations.
• Etude du développement du système nerveux périphérique pelvien : du foetus à l'enfant porteur de malformations et tumeurs pelviennes
  
  • Meignan P.
  • Muller C.
  • Belle M.
  • Peyrot Q.
  • Delmonte A.
  • Berteloot L.
  • Grevent D.
  • Blanc T.
  • Boddaert N.
  • Chedotal A.
  • Bloch Isabelle
  • Sarnacki S.
  , 2019.
• Depth and Depth-Based Classification with R Package ddalpha
  
  • Pokotylo Oleksii
  • Mozharovskyi Pavlo
  • Dyckerhoff Rainer
  Journal of Statistical Software, University of California, Los Angeles, 2019, 91 (5). (10.18637/jss.v091.i05)
  DOI : 10.18637/jss.v091.i05
• Linear codes from weakly regular plateaued functions and their secret sharing schemes.
  
  • Mesnager Sihem
  • Özbudak Ferruh
  • Sinak A.
  Designs, Codes and Cryptography, Springer Verlag, 2019.
• Constructions of optimal locally recoverable codes via Dickson polynomials
  
  • Mesnager Sihem
  • Liu J.
  • Tang D.
  , 2019.
• Nervous System Exploration Using Tractography To Enhance Pelvic Surgery
  
  • Muller Cécile
  • Delmonte Alessandro
  • Meignan Pierre
  • Peyrot Quoc
  • Virzi Alessio
  • Berteloot Laureline
  • Grevent David
  • Blanc Thomas
  • Gori Pietro
  • Boddaert Nathalie
  • Bloch Isabelle
  • Sarnacki Sabine
  , 2019. Pelvic surgery raises the challenge of preser- vation of nerves that handle urinary, gen- ital and digestive functions, especially in situations where these structures may be modi- fied by tumors or malformations. Recent works on 3D nerve visualization, that rely on cadavers dissections [1, 3] or intra-operative use of probes detecting myelin-binding fluorophores [5], do not provide pre- or post-operative analysis of the pelvic nervous anatomy. Magnetic reso- nance neurography as in [12] requires a slice by slice manual segmentation of the nerves. Dif- fusion MRI, associated with tractography algo- rithms, is currently the only technique allow- ing for in-vivo exploration of the nervous net- work [2] with no need for manual nerve segmen- tation. In contrast to brain imaging that moti- vated a lot of work, only few studies focus on pe- ripheral nerves visualization [9, 10, 14]. In this paper, we propose a method for pelvic tractog- raphy analysis based on patient-specific organ segmentation. It is demonstrated with promis- ing results on a healthy adult subject.
• Comprehensive review of 3D segmentation software tools for MRI usable for pelvic surgery planning
  
  • Virzi Alessio
  • Muller Cécile
  • Marret Jean-Baptiste
  • Mille Eva
  • Berteloot Laureline
  • Grevent David
  • Boddaert Nathalie
  • Gori Pietro
  • Sarnacki Sabine
  • Bloch Isabelle
  Journal of Digital Imaging, 2019. Background: Patient specific 3D modeling is the first step towards image-guided surgery, the actual revolution in surgical care. Pediatric and adolescent patients with rare tumors and malformations should highly benefit from these latest technological innovations, allowing personalized tailored surgery. This study focused on the pelvic region, located at the crossroads of the urinary, digestive and genital channels with important vascular and nervous structures. The aim of this study was to evaluate the performances of different software tools to obtain patient specific 3D models, through segmentation of magnetic resonance images (MRI), the reference for pediatric pelvis examination. Methods: Twelve software tools freely available on the Internet and two commercial software tools were evaluated using T2-w MRI and diffusion- weighted MRI images. The software tools were rated accordingly to eight criteria, evaluated by three different users: automatization degree, segmentation time, usability, 3D visualization, presence of image registration tools, tractography tools, supported OS, and potential extension (i.e. plugins). Results: A ranking of software tools for 3D modeling of MRI medical images, according to the set of predefined criteria, was given. This ranking allowed us to elaborate guidelines for the choice of software tools for pelvic surgical planning in pediatric patients. The best-ranked software tools were Myrian Studio, ITK-SNAP and 3D Slicer, the latter being especially appropriate if nerve fibers should be included in the 3D patient model. Conclusion: This study proposed a comprehensive review of software tools for 3D modeling of the pelvis according to a set of eight criteria, and delivered specific conclusions for pediatric and adolescent patients that can be directly applied to clinical practice.
• Study of short and mid-infrared telecom links performance for different climatic conditions
  
  • Sauvage Chloé
  • Robert Clélia
  • Sorrente Béatrice
  • Grillot Frédéric
  • Erasme Didier
  , 2019, pp.18. This study assesses the performance in term of availability of a FSO (Free Space Optics) link for two wavelengths, belonging to atmospheric windows, the standard telecom wavelength 1.55 µm and the mid-infrared wavelength 4 µm. To do so, we compute the transmission rate under various atmospheric conditions, including fog. Using the atmospheric transmission rate from our radiative transfer software MATISSE, the link budget is derived for a simple direct emission and detection system. The source and detector components characteristics, from commercial data-sheet, are considered to compute the reception noise. An estimate of the Bit Error Rate (BER) of the FSO link for the two wavelengths is presented as a function of visibility. Assuming a bit error correction and the corresponding BER value, it is possible to derive the limit of visibility under which the optical link is cut. A weather visibility database has been collected and compiled for a year to obtain the theoretical availability of the FSO system. As an example the availability at Velizy-Villacoublay (France) weather station throughout the year 2017 is used. In this case the theoretical link availability wins 30 hours of operation in January 2017 with the 4 µm optical wavelength, that shows the benefit of using mid-infrared for FSO when fog occurs. (10.1117/12.2533209)
  DOI : 10.1117/12.2533209
• Mathematical Morphology and Musical Representations
  
  • Agon Carlos
  • Andreatta Moreno
  • Atif Jamal
  • Bloch Isabelle
  , 2019.
• Kindey Cortex Segmentation in 2D CT with U-Nets Ensemble Aggregation
  
  • Couteaux Vincent
  • Si-Mohamed S.
  • Renard-Penna R.
  • Nempont O.
  • Lefevre T.
  • Popoff A.
  • Pizaine Guillaume
  • Villain N.
  • Bloch Isabelle
  • Behr J.
  • Bellin M.-F.
  • Roy C.
  • Rouvière O.
  • Montagne S.
  • Lassau N.
  • Boussel L.
  Diagnostic and Interventional Imaging, Elsevier, 2019, 100, pp.211-217.