Publications

2019

• Application of the “descent with mutations” metaheuristic to a clique partitioning problem
  
  • Hudry Olivier
  RAIRO - Operations Research, EDP Sciences, 2019, 53 (3), pp.1083-1095.
• De la « fronde anti-Linky » à la justification écologique du smart metering : retour sur la genèse d’un projet controversé
  
  • Draetta Laura
  • Tavner Bastien
  Lien social et Politiques, Anjou, Québec : Éd. Saint-Martin ; Rennes : Presses de l'EHESP, 2019 (82), pp.52. L’article propose une analyse de la controverse française sur le compteur communicant Linky en interrogeant la construction de sa justification écologique. Il défend l’hypothèse que cette controverse s’enracine de manière concomitante dans la critique du nouvel objet technique et dans celle de la genèse du projet politico-industriel qui a présidé à son déploiement national. Il combine analyse de la presse, étude documentaire et enquête de terrain pour restituer, en deux parties, une description de la controverse en France à partir de son traitement médiatique et une analyse de la genèse institutionnelle du projet Linky. La première partie montre une controverse publique et plurithématique en permanente recomposition, dans laquelle le dispositif technique s’expose à des épreuves successives, dont celle de la dénonciation d’une tentative de verdissement d’un projet de modernisation industrielle. La deuxième partie porte un regard réflexif sur le projet Linky et montre comment les oppositions qui le concernent se nourrissent des limites de son cadrage et de son accompagnement par les institutions politiques et administratives. (10.7202/1061876ar)
  DOI : 10.7202/1061876ar
• Procédé de gestion d’un message transmis parune station émettrice d’un système de transport intelligent
  
  • Monteuuis Jean-Philippe
  • Mafrica Stefano
  • Servel Alain
  • Zhang Jun
  , 2019.
• Surrogate Modeling of Stochastic Functions - Application to computational Electromagnetic Dosimetry
  
  • Azzi Soumaya
  • Huang Yuanyuan
  • Sudret Bruno
  • Wiart Joe
  International Journal for Uncertainty Quantification, Begell House Publishers, 2019, 9 (4), pp.351-363. (10.1615/Int.J.UncertaintyQuantification.2019029103)
  DOI : 10.1615/Int.J.UncertaintyQuantification.2019029103
• Further study on the maximum number of bent components of vectorial functions
  
  • Mesnager Sihem
  • Zhang F.
  Designs, Codes and Cryptography, Springer Verlag, 2019.
• Controllable photon-pair spectral correlations
  
  • Cordier Martin
  • Debord Benoît
  • Gérôme Frédéric
  • Delaye Philippe
  • Benabid Fetah
  • Zaquine Isabelle
  , 2019, pp.Paper EA-7.6. (10.1109/CLEOE-EQEC.2019.8873257)
  DOI : 10.1109/CLEOE-EQEC.2019.8873257
• Direct Sum Masking as a Countermeasure to Side-Channel and Fault Injection Attacks
  
  • Mesnager Sihem
  • Carlet Claude
  • Guilley Sylvain
  , 2019.
• Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method
  
  • Ebrahimi Shahin
  • Gajny Laurent
  • Vergari Claudio
  • Angelini Elsa D
  • Skalli Wafa
  European Spine Journal, Springer Verlag, 2019, 28, pp.3026–3034. Purpose Measurement of vertebral axial rotation (VAR) is relevant for the assessment of scoliosis. Stokes method allows estimating VAR in frontal X-rays from the relative position of the pedicles and the vertebral body. This method requires identifying these landmarks for each vertebral level, which is time-consuming. In this work, a quasi-automated method for pedicle detection and VAR estimation was proposed. Method A total of 149 healthy and adolescent idiopathic scoliotic (AIS) subjects were included in this retrospective study. Their frontal X-rays were collected from multiple sites and manually annotated to identify the spinal midline and pedicle positions. Then, an automated pedicle detector was developed based on image analysis, machine learning and fast manual identification of a few landmarks. VARs were calculated using the Stokes method in a validation dataset of 11 healthy (age 6–33 years) and 46 AIS subjects (age 6–16 years, Cobb 10°–46°), both from detected pedicles and those manually annotated to compare them. Sensitivity of pedicle location to the manual inputs was quantified on 20 scoliotic subjects, using 10 perturbed versions of the manual inputs. Results Pedicles centers were localized with a precision of 84% and mean difference of 1.2 ± 1.2 mm, when comparing with manual identification. Comparison of VAR values between automated and manual pedicle localization yielded a signed difference of − 0.2 ± 3.4°. The uncertainty on pedicle location was smaller than 2 mm along each image axis. Conclusion The proposed method allowed calculating VAR values in frontal radiographs with minimal user intervention and robust quasi-automated pedicle localization. (10.1007/s00586-019-06158-z)
  DOI : 10.1007/s00586-019-06158-z
• An Turyn-based neural Leech decoder
  
  • Corlay Vincent
  • Boutros Joseph
  • Ciblat Philippe
  • Brunel Loïc
  , 2019. A new decoder for the Leech lattice is presented. This quasi-optimal decoder utilizes a re-encoding paradigm, where candidates are obtained via a shallow neural network. This implies easy parallelization and low latency. The decoder exploits the fact that the Leech lattice is obtained from the direct sum of three polarized Gosset 8-dimensional lattices. This Turyn's construction was used in 2010 by G. Nebe to build the extremal even unimodular lattice in dimension 72 from three copies of the Leech lattice. Thus, we view this work as a first step towards the implementation of an efficient decoder for the Nebe 72-dimensional lattice.
• On two-to-one mappings over finite fields
  
  • Mesnager Sihem
  • Qu L.
  IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2019.
• State-of-the-art on Current Formalisms used in Cyber-Physical Systems Development
  
  • Klikovits Stefan
  • Al-Ali Rima
  • Amrani Moussa
  • Barisic Ankica
  • Barros Fernando
  • Blouin Dominique
  • Borde Etienne
  • Buchs Didier
  • Giese Holger
  • Goulão Miguel
  • Iacono Mauro
  • Leon Florin
  • Navarro Eva
  • Pelliccione Patrizio
  • Vanherpen Ken
  , 2019. (10.5281/zenodo.2533455)
  DOI : 10.5281/zenodo.2533455
• Strongly regular graphs from weakly regular plateaued functions
  
  • Mesnager Sihem
  • Sinak A.
  , 2019.
• MRI Atlas of IDH Wild-Type Supratentorial Glioblastoma: Probabilistic Maps of Phenotype, Management, and Outcomes
  
  • Roux Alexandre
  • Roca Pauline
  • Edjlali Myriam
  • Sato Kanako
  • Zanello Marc
  • Dezamis Edouard
  • Gori Pietro
  • Lion Stéphanie
  • Fleury Ariane
  • Dhermain Frédéric
  • Méder Jean-François
  • Chretien Fabrice
  • Lechapt Emmanuèle
  • Varlet Pascale
  • Oppenheim Catherine
  • Pallud Johan
  Radiology, Radiological Society of North America, 2019, pp.190491. (10.1148/radiol.2019190491)
  DOI : 10.1148/radiol.2019190491
• Further study of 2-to-1 mappings over $F_2^n$
  
  • Mesnager Sihem
  • Li K.
  • Qu L.
  , 2019.
• Construction of Efficient Codes for High-Order Direct Sum Masking
  
  • Mesnager Sihem
  • Carlet Claude
  • Guilley Sylvain
  • Guneri Cem
  • Özbudak Ferruh
  , 2019, 27, pp.108-128.
• Diversity and Struggles in Critical Performativity. The Case of French Community-Supported Agriculture
  
  • Ouahab Alban
  • Maclouf Etienne
  M@n@gement, AIMS (Association internationale de management stratégique), 2019, 22 (4), pp.537-558. This article contributes to the debates about critical performativity (CP), a research program aimed at reorienting critical management studies toward affirmative and transformative research. While some scholars explain how CP can be engineered to create alternative organizations, others remain skeptical, exposing its potential for failure. We examine alternative organizations with a particular focus on the struggles in which they are entangled, such as competition with other performative programs and normative agendas. These struggles cause permanent reconfigurations to agencements and make the future effects of performative engines uncertain. To understand these reconfigurations, we look at the transformation of already established alternative organizations. We conducted a case study on French Community-Supported Agriculture (CSA), which is illustrative of CP "in the field," looking at how the CSA network can engineer local organizations. We show how the struggles between competing performative programs produce diversity, in time and space, of organizational settings and goals within the French CSA movement. Our contributions are twofold. Firstly, because of the struggles in which it is entangled, a performative engine can create diverse and potentially competing normative content rather than a single stable agenda. Secondly, deviations from the initial normative content are not neutral and may undermine the subversive potential of those agencements. Ultimately, we call for a research agenda which would look beyond the implementation of subversive practices to question the way subversive agencements develop, and which would acknowledge that CP is also about struggles between competing engines. (10.3917/mana.224.0537)
  DOI : 10.3917/mana.224.0537
• Improving Deep Learning Parkinson’s Disease Detection Through Data Augmentation Training
  
  • Taleb Catherine
  • Likforman-Sulem Laurence
  • Mokbel Chafic
  , 2020, 1144, pp.79-93. Deep learning has been successfully applied to different classification applications where large data are available. However, the lack of data makes it more difficult to predict Parkinson’s disease (PD) with the deep models, which requires enough number of training data. Online handwriting dynamic signals can provide more detailed and complex information for PD detection task. In our previous work [1], two different deep models were studied for time series classification; the convolutional neural network (CNN) and the convolutional neural network- bidirectional long short term memory network (CNN-BLSTM). Different approaches were applied to encode pen-based signals into images for the CNN model while the raw time series are used directly with the CNN-BLSTM model. We have showed that both CNN model with spectrogram images as input and CNN-BLSTM model, improve the performance of time series classification applied for early PD stage detection. However, these approaches did not outperform classical support vector machine (SVM) classification applied on pre-engineered features. In this paper we investigate transfer learning and data augmentation approaches in order to train these models for PD detection on large-scale data. Various data augmentation methods for pen-based signals are proposed. Our experimental results show that the CNN-BLSTM model used with the combination of Jittering and Synthetic data augmentation methods provides promising results in the context of early PD detection, with accuracy reaching 97.62%. We have illustrated that deep architecture can surpass the models trained on pre-engineered features even though the available data is small. (10.1007/978-3-030-37548-5_7)
  DOI : 10.1007/978-3-030-37548-5_7
• On σ-LCD codes
  
  • Mesnager Sihem
  • Carlet C.
  • Tang C.
  • Qi Y.
  IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2019.
• Mathematical Morphology on a Few Discrete Structures
  
  • Bloch Isabelle
  , 2019.
• Reconstruction 3D en IRM du pelvis de l'enfant : segmentation des structures osseuses par intelligence artificielle
  
  • Peyrot Q.
  • Muller C.
  • Virzi A.
  • Delmonte A.
  • Meignan P.
  • Berteloot L.
  • Grevent D.
  • Blanc T.
  • Gori P.
  • Boddaert N.
  • Bloch Isabelle
  • Sarnacki S.
  , 2019.
• From Pairwise Comparisons and Rating to a Unified Quality Scale
  
  • Perez-Ortiz Maria
  • Mikhailiuk Aliaksei
  • Zerman Emin
  • Hulusic Vedad
  • Valenzise Giuseppe
  • Mantiuk Rafal
  IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 29, pp.1139-1151. The goal of psychometric scaling is the quantifi-cation of perceptual experiences, understanding the relationship between an external stimulus, the internal representation and the response. In this paper, we propose a probabilistic framework to fuse the outcome of different psychophysical experimental protocols , namely rating and pairwise comparisons experiments. Such a method can be used for merging existing datasets of subjective nature and for experiments in which both measurements are collected. We analyze and compare the outcomes of both types of experimental protocols in terms of time and accuracy in a set of simulations and experiments with benchmark and real-world image quality assessment datasets, showing the necessity of scaling and the advantages of each protocol and mixing. Although most of our examples focus on image quality assessment, our findings generalize to any other subjective quality-of-experience task. (10.1109/TIP.2019.2936103)
  DOI : 10.1109/TIP.2019.2936103
• Game Theory for Networking Applications
  
  • Song Ju Bin
  • Li Husheng
  • Coupechoux Marceau
  , 2019, pp.229.
• Mixed Delay Constraints on a Fading C-RAN Uplink
  
  • Nikbakht Homa
  • Wigger Michèle
  • Hachem Walid
  • Shamai Shitz Shlomo
  , 2019. A cloud radio access network (C-RAN) is considered where the first hop from the user equipments (UEs) to the basestations (BSs) is modeled by the fading Wyner soft-handoff model. The focus is on mixed-delay constraints where a set of messages (so called "slow" messages) are jointly decoded in the cloud unit (CU), whereas the remaining messages (called "fast" messages) have to be decoded immediately at the BSs. This paper presents inner and outer bounds on the capacity region for such a setup. Moreover, the multiplexing gain region is characterized exactly. The presented results show that for small fronthaul capacity it is beneficial to send both "fast" and "slow" messages. However, when the rate of "fast" messages is already large, then increasing it further, deteriorates the sum-rate of the system. In this regime, the stringent decoding delay on the "fast" messages penalizes the overall performance. Our results indicate that this penalty is larger at moderate SNR than at high SNR and it is also larger for random time-varying fading coefficients than for static ones. (10.1109/itw44776.2019.8989156)
  DOI : 10.1109/itw44776.2019.8989156
• Model-Based Programming for Multi-Processor Platforms with TTool/DIPLODOCUS and OMC
  
  • Enrici Andrea
  • Lallet Julien
  • Pacalet Renaud
  • Apvrille Ludovic
  • Desnos Karol
  • Latif Imran
  , 2019, pp.56_81. Abstract. The complexity of today's multi-processor architectures raises the need to increase the level of abstraction of software development paradigms above third-generation programming languages (e.g., C/C++). Code generation from model-based specifications is considered to be more efficient with respect to traditional paradigms where software is mainly developed from code. However, existing model-based approaches typically generate application software in SoC-programming languages (e.g., C/C++, OpenCL, Verilog/VHDL) without considering the optimization of non-functional properties (e.g., memory footprint, scheduling). This paper proposes a novel approach and tools where system-level models are compiled into standard C code while optimizing the systems memory footprint. We show the effectiveness of our approach with the model-based programming of UML/SysML diagrams for a 5G decoder. From the compiled C code, we generate both a software implementation for a Digital Signal Processor platform and a hardware-software implementation for a platform based on hardware Intellectual Property (IP) blocks. Overall, our optimizations achieve a memory footprint reduction of 80.07% in the first case and 88.93% in the second case. (10.1007/978-3-030-11030-7_4)
  DOI : 10.1007/978-3-030-11030-7_4
• A Simple and Exact Algorithm to Solve Linear Problems with l1 -based Regularizers
  
  • Tendero Yohann
  • Ciril Igor
  • Darbon Jérôme
  , 2019.