Les principaux domaines d’activité du Digital Group sont :
L’entreprise et le numérique
Analyser et comprendre l’impact de la révolution digitale sur les entreprises. Anticiper les évolutions du management, du marketing, de la communication et de la relation client. Étudier les nouveaux modèles économiques, les nouvelles organisations, leurs risques et opportunités dans une économie mondialisée.
L’industrie intelligente
Imaginer l’apport du digital pour l’usine du futur. Concevoir de nouveaux outils numériques permettant le recueil, la structuration et l’analyse des données, en se reposant sur des techniques avancées de Machine Learning et de Deep Learning. Permettre la sauvegarde des expertises avec des jumeaux numériques et leurs redéploiements dans l’entreprise.
Du Big Data aux Smart Data
Collecter, stocker, analyser, optimiser et présenter des données toujours plus nombreuses. Réinventer les outils classiques d’exploration de bases de données et la façon dont est envisagée la gestion de l’information. Concevoir des solutions profitant des dernières avancées en représentation des connaissances, techniques de passage à l’échelle, manipulation des données, Machine Learning et Data Mining. Un intérêt tout particulier est porté aux applications au tourisme.
Computer Human Interaction
Les récents progrès en Intelligence Artificielle offrent de nouvelles perspectives de collaboration entre la machine et les êtres humains. Avec de plus hauts niveaux de compréhension multimodale, les machines intègrent la vision par ordinateur, le traitement du langage naturel, mais aussi les Smart Materials et l’IoT. Créer de nouveaux médias d’interaction à partir de matière souple, active, et e-textile.
L’équipe d’enseignants-chercheurs Digital Group
L’ensemble des travaux des enseignants-chercheurs Digital Group
Diana Davila Ruiz; Erik Ernesto VAZQUEZ HERNANDEZ
Examining Effects of Photography in Social Media and the Mediation Role of Perceived Authenticity Article de journal
Dans: Communication Today, vol. 12, no. 2, p. 112-128, 2021.
@article{davila_ruiz_1731,
title = {Examining Effects of Photography in Social Media and the Mediation Role of Perceived Authenticity},
author = {Diana Davila Ruiz and Erik Ernesto VAZQUEZ HERNANDEZ},
url = {https://communicationtoday.sk/examining-effects-of-photography-in-social-media-and-the-mediation-role-of-perceived-authenticity/},
year = {2021},
date = {2021-12-01},
journal = {Communication Today},
volume = {12},
number = {2},
pages = {112-128},
abstract = {Social media have gained traction in advertising campaigns for luxury and fashion apparel using influencers, who shape trends of photography. To remain competitive, however, influencers depend on how they convey authenticity, which largely relies on the key visual elements of the photographs they post on social media. The purpose of this study is to explore the visual elements of the photography used by social media influencers and to compare the main photography trends in digital media. Specifically, it aims to explore how new photography trends such as urban background style and fashion models with large body sizes affect consumers. To accomplish this objective, an online experimental setting was prepared to compare the effects of an urban versus a solid background and a fashion model with a large versus a thin body size on perceived authenticity and purchase intent. The research finds that urban background and large body size of the model significantly increase digital engagement. These results are in line with the research hypotheses that allude to the perception of authenticity as the key construct behind the effects on digital engagement. This inquiry also evaluates the interaction effect of the urban background and large body size of the model on perceived authenticity. In doing so, the present research examines the mediation role of perceived authenticity on the intention to buy. The results contribute to updating theory about the influencers' role on digital engagement and photography trends in social media. It also shows that perceived authenticity exerts a mediating role between the effect of visual elements on purchase intentions},
keywords = {},
pubstate = {published},
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}
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot
Crise du tourisme et résistances des vacances. Valeurs et pratiques des mobilités de loisirs en période de pandémie Article de journal
Dans: Mondes du Tourisme, vol. 20, 2021.
@article{chareyron_1748,
title = {Crise du tourisme et résistances des vacances. Valeurs et pratiques des mobilités de loisirs en période de pandémie},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
url = {https://journals.openedition.org/tourisme/3899#tocto2n5},
year = {2021},
date = {2021-12-01},
journal = {Mondes du Tourisme},
volume = {20},
abstract = {Selon l'Organisation mondiale du tourisme (OMT), la pandémie a réduit de 70 % le tourisme international en 2020. Dans les médias, l'arrêt des mobilités internationales se traduit par un discours sur « la fin du tourisme » ou la « mort du voyage ». À l'été 2020, la plupart des territoires français connaissent pourtant une saison estivale aussi, voire plus fréquentée que les années précédentes. Comment expliquer ce décalage ? En s'appuyant sur l'analyse critique des indicateurs statistiques du tourisme, des observations de terrain et l'étude des commentaires postés sur les plateformes de réservation touristiques, cet article propose l'hypothèse suivante : la pandémie révélé la fragilité de l'industrie internationale du tourisme, mais aussi son emprise sur les normes, les valeurs et les imaginaires de l'ailleurs et du temps « autre ». Échappant à l'industrie du tourisme et à ses indicateurs, les pratiques de vacances populaires ont résisté plus qu'elles ne se sont radicalement transformées. Surtout, elles sont devenues visibles et valorisées. Dans ce contexte, la notion de valence différentielle nous permet d'appréhender l'actuelle inversion des valeurs associées respectivement au tourisme international et aux vacances populaires.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Jean-Éric Pelet; Basma Taieb
The internet of things in upscalehotels: its impact on guests'sensory experiences and behavior Article de journal
Dans: International Journal Of Contemporary Hospitality Management, vol. 33, no. 11, p. 4035-4056, 2021.
@article{pelet_1561,
title = {The internet of things in upscalehotels: its impact on guests'sensory experiences and behavior},
author = {Jean-Éric Pelet and Basma Taieb},
url = {https://www.emerald.com/insight/content/doi/10.1108/IJCHM-02-2021-0226/full/html},
year = {2021},
date = {2021-11-01},
journal = {International Journal Of Contemporary Hospitality Management},
volume = {33},
number = {11},
pages = {4035-4056},
abstract = {Purpose-This study bridges the gap between sensory marketing and the use of the internet of things (IoT)in upscale hotels. This paper aims to investigate how stimulating guests'senses through IoT devices influenced their emotions, affective experiences, eudaimonism (well-being), and ultimately, guest behavior.The authors examined the potential moderating effects of gender.
Design/methodology/approach-Research conducted comprised an exploratory study, which consisted of interviews with hotel managers (Study 1) and an online confirmatory survey (n= 357) amonghotel guests (Study 2).
Findings-The results showed that while the senses of smell, hearing and sight had an impact on guests'emotions, the senses of touch, hearing and sight impacted guests'affective experiences. The senses of smelland taste influenced guests'eudaimonism. The sense of smell had a greater effect on eudaimonism andbehavioral intentions among women compared to men.
Research limitations/implications-This study concentrated on upscale hotels located in Europe. Further research may explore the generalizability of thefindings (e.g. in other cultures, comparison betweenhigh-end and low-end hotels).
Practical implications-Managers of upscale hotels should apply congruent sensory stimuli from allfive senses. Stimuli may be customized (?SoCoIoT?marketing). IoT in hotels may be useful in the aftermath ofthe COVID pandemic, as voice commands help guests avoid touching surfaces.
Originality/value-IoT can be applied in creating customized multi-sensory hotel experiences. Forexample, hotels may offer unique and diverse ambiances in their rooms and suites to improve guestexperiences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Saoussen Mili; Nga Nguyen; Rachid Chelouah
Model-Driven Architecture Based Security Analysis Article de journal
Dans: Systems Engineering, vol. 24, no. 5, p. 307-321, 2021.
@article{mili_1606,
title = {Model-Driven Architecture Based Security Analysis},
author = {Saoussen Mili and Nga Nguyen and Rachid Chelouah},
url = {https://onlinelibrary.wiley.com/doi/10.1002/sys.21581},
year = {2021},
date = {2021-09-01},
journal = {Systems Engineering},
volume = {24},
number = {5},
pages = {307-321},
abstract = {This paper proposes a Model-Driven Architecture approach for the development of an embedded system validation platform namely Model-Based Security Analysis for Embedded Systems (MBSAES). The security properties are formally modeled and verified at an early stage of the design process of the system, which helps to reduce late errors and development time. A separation of the attack scenarios and the system design from the implementation details has been respected. To transform semi-formal models from SysML to NuSVM model checking platform, two Model-to-Text, horizontal and exogenous transformations have been implemented. The first one employs a programming approach with Java to create a Computational Tree Logic specification from an Extended Attack Tree, whereas the second one uses a template approach with Acceleo to generate NuSMV code from SysML structural and behavioral models. To illustrate our approach, a case study, involving attacks aiming to unlock car door systems, via signal jamming and code replaying, is considered. The results of this research will contribute to the automatic validation of system designs against security vulnerabilities via a database of extended attack trees building from existing atomic attacks.},
keywords = {},
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Yogesh K. Dwivedi; Elvira Ismagilova; Hughes D. Laurie; Jamie Carlson; Raffaele Filieri; Jenna Jacobson; Varsha Jain; Heikki Karjaluoto; Hajer Kefi; Anjala S. Krishen; Vikram Kumar; Mohammad M. Rahman; Ramakrishnan Raman; Philipp A. Rauschnabel; Jennifer Rowley; Jari Salo; Gina A. Tran; Wang Yichuan
Setting the future of digital and social media marketing research: Perspectives and research propositions Article de journal
Dans: International Journal Of Information Management, vol. 59, p. 102168, 2021.
@article{dwivedi_1427,
title = {Setting the future of digital and social media marketing research: Perspectives and research propositions},
author = {Yogesh K. Dwivedi and Elvira Ismagilova and Hughes D. Laurie and Jamie Carlson and Raffaele Filieri and Jenna Jacobson and Varsha Jain and Heikki Karjaluoto and Hajer Kefi and Anjala S. Krishen and Vikram Kumar and Mohammad M. Rahman and Ramakrishnan Raman and Philipp A. Rauschnabel and Jennifer Rowley and Jari Salo and Gina A. Tran and Wang Yichuan},
url = {https://www.sciencedirect.com/science/article/pii/S0268401220308082},
year = {2021},
date = {2021-08-01},
journal = {International Journal Of Information Management},
volume = {59},
pages = {102168},
abstract = {The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts' perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of challenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.},
keywords = {},
pubstate = {published},
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Hajer Kefi; Ekaterina Besson; Karina Sokolova; Chiraz Aouina Mejri
Privacy and Intelligent Virtual Assistants Usage across Generations Article de journal
Dans: Systèmes d'Information et Management, vol. 26, no. 2, p. 43-76, 2021.
@article{kefi_1546,
title = {Privacy and Intelligent Virtual Assistants Usage across Generations},
author = {Hajer Kefi and Ekaterina Besson and Karina Sokolova and Chiraz Aouina Mejri},
url = {https://www.cairn.info/revue-systemes-d-information-et-management-2021-2-page-43.htm},
year = {2021},
date = {2021-07-01},
journal = {Systèmes d'Information et Management},
volume = {26},
number = {2},
pages = {43-76},
keywords = {},
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Gaël Chareyron; Saskia Cousin; Sébastien Jacquot
L'Europe rythmée par ses visiteurs. 20 ans de commentaires géolocalisés et chronoréférencés Article de journal
Dans: no. 27, 2021.
@article{chareyron_1723,
title = {L'Europe rythmée par ses visiteurs. 20 ans de commentaires géolocalisés et chronoréférencés},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
url = {https://www.icmigrations.cnrs.fr/2021/06/16/defacto-027-06/},
year = {2021},
date = {2021-07-01},
number = {27},
keywords = {},
pubstate = {online},
tppubtype = {article}
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Gérald Kembellec; Nicolas Travers
XML et son écosystème Article de journal
Dans: Techniques de l'Ingénieur - Technologies logicielles, Architectures des systèmes, vol. TIB302DUO, no. h3502, p. 23, 2021.
@article{kembellec_1495,
title = {XML et son écosystème},
author = {Gérald Kembellec and Nicolas Travers},
url = {https://www.techniques-ingenieur.fr/base-documentaire/technologies-de-l-information-th9/management-des-systemes-d-information-42302210/xml-et-son-ecosysteme-h3502/#presentation},
year = {2021},
date = {2021-06-01},
journal = {Techniques de l'Ingénieur - Technologies logicielles, Architectures des systèmes},
volume = {TIB302DUO},
number = {h3502},
pages = {23},
abstract = {Cet article traite de la structuration de fichiers XML, de la manière de les produire, de les utiliser, de les requêter à travers divers prismes. En effet, après une courte introduction historique sur les causes industrielles et intellectuelles qui ont amené à l'avènement d'XML comme format de stockage de données et d'informations, l'article revient sur les grammaires et vocabulaires qui permettent la structuration et la qualification documentaire dans l'industrie ou la culture. L'article se poursuit par l'application des règles du XML dans la gestion des connaissances et par une incursion dans le Web des données liées. Enfin, l'article présente XML comme structure, vecteur de stockage et de partage de données : il explore le potentiel d'XML comme base de données, les méthodes de requêtage, d'échange et de flux de données.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ishwarya Ananthabhotla; David B Ramsay; Clément Duhart; Joseph A Paradiso
Cognitive Audio Interfaces: Mediating Sonic Information with an Understanding of How We Hear Article de journal
Dans: Ieee Pervasive Computing, vol. 20, no. 2, p. 36-45, 2021.
@article{ananthabhotla_1384,
title = {Cognitive Audio Interfaces: Mediating Sonic Information with an Understanding of How We Hear},
author = {Ishwarya Ananthabhotla and David B Ramsay and Clément Duhart and Joseph A Paradiso},
url = {https://ieeexplore.ieee.org/document/9353971},
year = {2021},
date = {2021-04-01},
journal = {Ieee Pervasive Computing},
volume = {20},
number = {2},
pages = {36-45},
abstract = {In a world of rich, complex, and demanding audio environments, intelligent systems can mediate our interaction with the sounds around us - both to enable meaningful, aesthetic experiences and to transition work from humans to computational agents. Drawing from several years of our research, we suggest that the design of such systems must be driven by a deep understanding of auditory cognition. In this article, we discuss two concrete approaches we take toward cognition-informed interface design - one that begins with sounds themselves to form explicit, contextualized, cognitive models, built on the foundations of large-data parsing infrastructure; and one that begins with the individual, built from intuition surrounding the influence of the cognitive state on perception. We point toward an unexplored and compelling future at their intersection.},
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pubstate = {published},
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}
Hajer Kefi; Michel Kalika; Najma Saidani
Dépendance au courrier électronique : effets sur le technostress et la surcharge informationnelle et répercussions sur la performance Article de journal
Dans: Systèmes d'Information et Management, vol. 26, no. 1, p. 45-83, 2021.
@article{kefi_1424,
title = {Dépendance au courrier électronique : effets sur le technostress et la surcharge informationnelle et répercussions sur la performance},
author = {Hajer Kefi and Michel Kalika and Najma Saidani},
url = {https://www.cairn.info/revue-systemes-d-information-et-management-2021-1-page-45.htm},
year = {2021},
date = {2021-04-01},
journal = {Systèmes d'Information et Management},
volume = {26},
number = {1},
pages = {45-83},
abstract = {x},
keywords = {},
pubstate = {published},
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Erik Ernesto VAZQUEZ HERNANDEZ
Effect of an e-retailer's product category and social media platform selection on perceived quality of e-retail products Article de journal
Dans: Electronic Markets, vol. 31, p. 139-157, 2021.
@article{vazquez_hernandez_1219,
title = {Effect of an e-retailer's product category and social media platform selection on perceived quality of e-retail products},
author = {Erik Ernesto VAZQUEZ HERNANDEZ},
url = {https://link.springer.com/article/10.1007%2Fs12525-020-00394-8},
year = {2021},
date = {2021-03-01},
journal = {Electronic Markets},
volume = {31},
pages = {139-157},
abstract = {The growth of e-retail has expanded to a wide range of product categories. E-retailers compete in a multichannel environment using several social media platforms (SMPs) where their product category and use of SMPs affect potential consumers' perception of product quality. Although studies have noted the potential of SMPs and differences between SMPs to support consumers in their information collection about products, the effect of different SMPs on consumers' perception of product quality remains unexplored. Based on a literature review, this research suggests a theoretical framework of the knowledge acquisition process for new consumers evaluating the quality of diverse retail products. Using network and information theory, this study proposes hypotheses to assess the effect of diverse e-retailer's product categories and different SMPs on consumer's perception of e-retail product quality for consumers unfamiliar with e-retail brands. After testing these hypotheses using primary data, results partially validate the theoretical framework. Research findings help practitioners to organise their e-retail products display across diverse SMPs and provide insights for scholars of e-retailing and digital media striving to acquire consumers online.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Benjamin Bobbia
Donsker's Theorem for local data-driven empirical measures Conférence
Forum Jeunes Mathématiciens, Besançon, france, 2021.
@conference{bobbia_1772,
title = {Donsker's Theorem for local data-driven empirical measures},
author = {Benjamin Bobbia},
url = {https://femmes-et-maths.fr/2021/06/28/forum-2021-des-jeunes-mathematien-nes/},
year = {2021},
date = {2021-12-01},
booktitle = {Forum Jeunes Mathématiciens},
address = {Besançon, france},
abstract = {Nowadays, empirical processes are well known object. A reason that push forward theirs studies is that, in many modelisations, we can write the estimators as images of empirical measures. In this work we investigate the case of local empirical measures, that is the empirical measure built over a subsample with data conditionned to be in a certain area. There exist numerous results about such result, but what can we say if the previous area is data driven ? We can handle this situation with high technical cost and additional assumptions. The main aim of the present work is to present a general framework which allows to derive asymptotic results for this particular empirical measures with lower cost (in terms of technicality and assumptions). We give a Donsker-type theorem for such measures and present some domains of application as extreme values theory or multivariate regular variations},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen
Learning to Continually Learn Rapidly from Few and Noisy Data Conférence
AAAI Workshop on Meta-Learning and MetaDL Challenge, online, 2021.
@conference{i-hsien_kuo_1764,
title = {Learning to Continually Learn Rapidly from Few and Noisy Data},
author = {Nicholas I-Hsien Kuo and Mehrtash Harandi and Nicolas Fourrier and Christian Walder and Gabriela Ferraro and Hanna Suominen},
url = {https://proceedings.mlr.press/v140/kuo21a.html},
year = {2021},
date = {2021-04-01},
booktitle = {AAAI Workshop on Meta-Learning and MetaDL Challenge},
pages = {140:65-76},
address = {online},
abstract = {Neural networks suffer from catastrophic forgetting and are unable to sequentially learn new tasks without guaranteed stationarity in data distribution. Continual learning could be achieved via replay - by concurrently training externally stored old data while learning a new task. However, replay becomes less effective when each past task is allocated with less memory. To overcome this difficulty, we supplemented replay mechanics with meta-learning for rapid knowledge acquisition. By employing a meta-learner, which learns a learning rate per parameter per past task, we found that base learners produced strong results when less memory was available. Additionally, our approach inherited several meta-learning advantages for continual learning: it demonstrated strong robustness to continually learn under the presence of noises and yielded base learners to higher accuracy in less updates.},
keywords = {},
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Marc Teyssier; Brice Parilusyan; Anne Roudaut; Jürgen Steimle
Human-Like Artificial Skin Sensor for Physical Human-Robot Interaction Conférence
2021 IEEE International Conference on Robotics and Automation, Xi'an International Convention and Exhibition Center in Xi'an China., 2021.
@conference{teyssier_1386,
title = {Human-Like Artificial Skin Sensor for Physical Human-Robot Interaction},
author = {Marc Teyssier and Brice Parilusyan and Anne Roudaut and Jürgen Steimle},
url = {http://www.icra2021.org/index.aspx},
year = {2021},
date = {2021-03-01},
booktitle = {2021 IEEE International Conference on Robotics and Automation},
pages = {8},
address = {Xi'an International Convention and Exhibition Center in Xi'an China.},
abstract = {Physical Human-Robot-Interaction (pHRI) is beneficial for communication in social interaction or to perform collaborative tasks but is also crucial for safety. While robotic devices embed sensors for this sole purpose, their design often is the results of a trade-off between technical capabilities and rarely considers human factors. We propose a novel approach
to design and fabricate compliant Human-like artificial skin sensors for robots, with similar mechanical properties as human skin and capable of precisely detecting touch. Our artificial skin relies on the use of different silicone elastomers to replicate the human skin layers and comprises an embedded electrode
matrix to perform mutual capacitance sensing. We present the sensor and describe its fabrication process which is scalable, low-cost and ensures flexibility, compliance and robustness. We introduce Muca, an open-source sensing development board and then evaluate the performance of the sensor.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
amel Hidouri; Said Jabbour; Imen Ouled Dlala; Badran Raddaoui
On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability Inproceedings
Dans: IEEE International Conference on Big Data, Orlando, FL, USA, 2021, ISBN: 978-1-6654-4599-3.
@inproceedings{hidouri_1766,
title = {On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability},
author = {amel Hidouri and Said Jabbour and Imen Ouled Dlala and Badran Raddaoui},
url = {https://doi.org/10.1109/BigData52589.2021.9671422},
issn = {978-1-6654-4599-3},
year = {2021},
date = {2021-12-01},
booktitle = {IEEE International Conference on Big Data},
address = {Orlando, FL, USA},
abstract = {Mining high utility itemsets is a keystone data mining method for discovering useful itemsets yielding high utility values. Minimal and maximal high utility itemsets are
two examples of compact representations used to reduce the
output size due to not only the large but incomprehensible
number of patterns. Despite the variety of proposed solutions to
tackle this problem, it still provides methods with less flexibility.
In this paper, we present a novel method for translating the
problem of mining minimal and maximal high utility itemsets
into a propositional satisfiability problem. In order to find these
patterns of interest, we demonstrate that the task of minimal and maximal patterns is equivalent to enumerating the X-
minimal models of a given CNF formula. Then, to improve the
scalability issue, we harness a decomposition paradigm that splits
the transaction database into smaller and independent sub-bases, allowing an efficient enumeration of minimal and maximal high
utility itemsets. Finally, through extensive evaluation studies on
various real-world datasets, we demonstrate that our approach is
very competitive w.r.t. to the state-of-the-art specialized solutions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Nga Nguyen
RobAFIS: Lessons Learned from a Robotic Systems Engineering Challenge Inproceedings
Dans: 2021 International Symposium on Systems Engineering Proceedings, Vienna, Austria, 2021.
@inproceedings{nguyen_1596,
title = {RobAFIS: Lessons Learned from a Robotic Systems Engineering Challenge},
author = {Nga Nguyen},
url = {https://2021.ieeeisse.org/wp-content/uploads/sites/37/2021/08/ISSE_2021_Program-02.pdf},
year = {2021},
date = {2021-09-01},
booktitle = {2021 International Symposium on Systems Engineering Proceedings},
address = {Vienna, Austria},
keywords = {},
pubstate = {published},
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David Stéphane Belemkoabga; Aurélien Bossard; Abdallah Essa; Christophe Rodrigues; Kévin Sylla
Neural Network-Based Generation of Sport Summaries: a Preliminary Study Inproceedings
Dans: Proceedings of Recent Advances in Natural Language Processing, p. 152-159, Varna, Bulgaria, 2021.
@inproceedings{belemkoabga_1586,
title = {Neural Network-Based Generation of Sport Summaries: a Preliminary Study},
author = {David Stéphane Belemkoabga and Aurélien Bossard and Abdallah Essa and Christophe Rodrigues and Kévin Sylla},
url = {https://ranlp.org/ranlp2021/proceedings.pdf},
year = {2021},
date = {2021-07-01},
booktitle = {Proceedings of Recent Advances in Natural Language Processing},
pages = {152-159},
address = {Varna, Bulgaria},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Aomar Osmani; Pegah Alizadeh; Christophe Rodrigues
Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots Inproceedings
Dans: International Conference on Automation Science and Engineering, Lyon, France, 2021.
@inproceedings{osmani_1543,
title = {Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots},
author = {Aomar Osmani and Pegah Alizadeh and Christophe Rodrigues},
url = {https://case2021.sciencesconf.org/},
year = {2021},
date = {2021-06-01},
booktitle = {International Conference on Automation Science and Engineering},
address = {Lyon, France},
abstract = {The monitoring of industrial robots is often en-
sured by generic simulators which model the equational aspect
of the target machines. We propose an original approach to
complete the equational simulator of a milling machine using
the accumulated data from the used sensors. This approach cre-
ates a specific simulator for each machining situation by taking
the triplet (material, cutting tool, workpiece) into account. This
improvement brings great added value to the industrial experts
and improves the efficiency of industrial robots. It allows them
to better follow and interpret the behavior of machines during
the milling process. In addition to correct the simulator using
real data, our method detects also the anomalies during the
real manufacturing performance and fixes the minor bugs
along the observed real data during its continuous simulation
mimicry. The additional interest of our model remains the
precise definition of the complementary model between the real
system and the equational simulator. This makes it possible, by
using an inductive approach to search for regularities in the
model in order to better interpret the structural differences
between the model and the system and to better understand
the situations linked to their functionalities or undesirable
situations. The intensive experiments on real data validate our
model and open up many perspectives for future works.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali; Bi Chongke; Theo Demessance
Hidden Markov Model to Predict Tourists Visited Places Inproceedings
Dans: Nick Koudas Vana Kalogeraki, Jianliang Xu (Ed.): 22nd IEEE International Conference on Mobile Data Management, p. 209-216, IEEE, virtual, 2021, ISBN: 978-1-6654-2845-3.
@inproceedings{guerard_1601,
title = {Hidden Markov Model to Predict Tourists Visited Places},
author = {Guillaume Guérard and Sonia Djebali and Bi Chongke and Theo Demessance},
editor = {Vana Kalogeraki, Nick Koudas, Jianliang Xu},
url = {https://ieeexplore.ieee.org/abstract/document/9474900},
issn = {978-1-6654-2845-3},
year = {2021},
date = {2021-06-01},
booktitle = {22nd IEEE International Conference on Mobile Data Management},
pages = {209-216},
publisher = {IEEE},
address = {virtual},
abstract = {Nowadays, social networks is become a popular means of analyzing tourist behavior, thanks to the digital traces left by travelers during their stays on these networks.
The massive amount of data generated by the propensity of tourists to share comments and photos during their trip makes it possible to model their journeys and analyze their behavior.
Predicting the next movement of tourist plays a key role in tourism marketing to understand demand and improve decision support.
In this paper, we propose a method to understand and to learn tourists' movements based on social network data analysis to predict the future movements. The method relies on a machine learning grammatical inference algorithm.
A major contribution in this paper is to adapt the grammatical inference algorithm to the context of big data.
Our method produces a hidden Markov model representing the movements of a group of tourists. The hidden Markov model is flexible and editable with new data.
The capital city of France, Paris is selected to demonstrate the efficiency of the proposed methodology.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Guillaume Guérard; Laureen Deman; Quentin Boucher; Cedric Clastres
Bidding strategy of a seasonal storage and pump storage hydropower plants in reserve markets Inproceedings
Dans: International Association for Energy Economics, virtual, 2021.
@inproceedings{djebali_1602,
title = {Bidding strategy of a seasonal storage and pump storage hydropower plants in reserve markets},
author = {Sonia Djebali and Guillaume Guérard and Laureen Deman and Quentin Boucher and Cedric Clastres},
url = {https://iaee2021online.org/download/contribution/fullpaper/1380/1380_fullpaper_20210614_063233.pdf},
year = {2021},
date = {2021-06-01},
booktitle = {International Association for Energy Economics},
address = {virtual},
abstract = {The increasing share of intermittent sources of energy will increase the need for frequency-control reserves. However, the current supply of reserves might decrease in the following years. The share of gas- and coal-fuel plants in the power mix is expected to decline in order to reduce greenhouse gas emissions. Hydropower technologies are often put forward as mature and low-carbon technologies able to contribute to cover this increasing need for reserves. Their flexibility and storage capability allow them to support the stable operation of the grid. The procurement of reserves being mostly market-based in Europe, the market design should send the correct price signals to encourage the participation in these markets.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Daniel Maar; Hajer Kefi; Mehmet A. Orhan
Dans: Proceedings of the European Marketing Academy EMAC 2021 Annual Conference, Madrid, Spain, 2021.
@inproceedings{maar_1475,
title = {The ambiguous role of fear of missing out in shaping the online experience and brand relationship of brand account followers on Instagram},
author = {Daniel Maar and Hajer Kefi and Mehmet A. Orhan},
url = {https://www.emac-online.org/},
year = {2021},
date = {2021-05-01},
booktitle = {Proceedings of the European Marketing Academy EMAC 2021 Annual Conference},
address = {Madrid, Spain},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Tourism Management through the Big Data Paradigm Inproceedings
Dans: David Chavalarias, Hocine Cherifi (Ed.): French Regional Conference on Complex Systems FRCCS, Springer - Applied Network Science Journal, virtual, 2021.
@inproceedings{guerard_1600,
title = {Tourism Management through the Big Data Paradigm},
author = {Guillaume Guérard and Sonia Djebali},
editor = {David Chavalarias, Hocine Cherifi},
url = {https://easychair.org/smart-program/FRCCS2021/},
year = {2021},
date = {2021-05-01},
booktitle = {French Regional Conference on Complex Systems FRCCS},
publisher = {Springer - Applied Network Science Journal},
address = {virtual},
abstract = {This paper highlights the two-ways relationship between data and entities producing or generating these data in the context of tourism management. Indeed, tourists leave various traces of their planning and trip on social media and networks. Moreover, studying those data to feed tourism marketing also affects the future data left by tourists. Understanding the intrinsic and extrinsic relationship between entities should significantly improve the knowledge in this research field.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Marc Teyssier; Brice Parilusyan; Anne Roudaut; Jürgen Steimle
Human-Like Artificial Skin Sensor for Physical Human-Robot Interaction Inproceedings
Dans: IEEE, (Ed.): IEEE International Conference on Robotics and Automation (ICRA), p. 3626-3633, Institute of Electrical and Electronics Engineers (IEEE), Xi'an, China, 2021, ISBN: 9781728190785.
@inproceedings{teyssier_1813,
title = {Human-Like Artificial Skin Sensor for Physical Human-Robot Interaction},
author = {Marc Teyssier and Brice Parilusyan and Anne Roudaut and Jürgen Steimle},
editor = {IEEE},
url = {https://ieeexplore.ieee.org/document/9561152},
issn = {9781728190785},
year = {2021},
date = {2021-04-01},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
pages = {3626-3633},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
address = {Xi'an, China},
edition = {2021},
abstract = {Physical Human-Robot-Interaction (pHRI) is beneficial for communication in social interaction or to perform collaborative tasks but is also crucial for safety. While robotic devices embed sensors for this sole purpose, their design often is the results of a trade-off between technical capabilities and rarely considers human factors. We propose a novel approach to design and fabricate compliant Human-like artificial skin sensors for robots, with similar mechanical properties as human skin and capable of precisely detecting touch. Our artificial skin relies on the use of different silicone elastomers to replicate the human skin layers and comprises an embedded electrode matrix to perform mutual capacitance sensing. We present the sensor and describe its fabrication process which is scalable, low-cost and ensures flexibility, compliance and robustness. We introduce Muca, an open-source sensing development board and then evaluate the performance of the sensor.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Edouard Pignot
La « jouissance cynique », un moteur de l'activité des VTC Divers
The Conversation, 2021.
@misc{pignot_1747,
title = {La « jouissance cynique », un moteur de l'activité des VTC},
author = {Edouard Pignot},
url = {https://theconversation.com/la-jouissance-cynique-un-moteur-de-lactivite-des-vtc-173442},
year = {2021},
date = {2021-12-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Jean-Éric Pelet; Basma Taieb; Erhard Lick
Le marketing sensoriel et les objets connectés, nouveaux atouts des hôteliers Divers
The Conversation, 2021.
@misc{pelet_1725,
title = {Le marketing sensoriel et les objets connectés, nouveaux atouts des hôteliers},
author = {Jean-Éric Pelet and Basma Taieb and Erhard Lick},
url = {https://theconversation.com/le-marketing-sensoriel-et-les-objets-connectes-nouveaux-atouts-des-hoteliers-166986},
year = {2021},
date = {2021-10-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Peter Bou Saba
Le traquenard de la comparaison sociale numérique Divers
Forbes France, 2021.
@misc{bou_saba_1778,
title = {Le traquenard de la comparaison sociale numérique},
author = {Peter Bou Saba},
url = {https://www.forbes.fr/management/a-completer-photo-le-traquenard-de-la-comparaison-sociale-numerique/},
year = {2021},
date = {2021-10-01},
howpublished = {Forbes France},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Peter Bou Saba
Que se cache-t-il derrière la pénurie de semi-conducteurs ? Divers
Journal du Net, 2021.
@misc{bou_saba_1511,
title = {Que se cache-t-il derrière la pénurie de semi-conducteurs ?},
author = {Peter Bou Saba},
url = {https://www.journaldunet.com/ebusiness/internet-mobile/1500713-que-se-cache-t-il-derriere-la-penurie-de-semi-conducteurs/},
year = {2021},
date = {2021-05-01},
howpublished = {Journal du Net},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Shameek Sinha
Beyond CRM, Customer Portfolio Management Builds Long Term Customer Value Divers
Forbes Magazine, 2021.
@misc{sinha_1992,
title = {Beyond CRM, Customer Portfolio Management Builds Long Term Customer Value},
author = {Shameek Sinha},
url = {https://www.forbes.com/sites/garydrenik/2021/04/14/beyond-crm-customer-portfolio-management-builds-long-term-customer-value/?sh=3bb9f6d92b2c},
year = {2021},
date = {2021-04-01},
howpublished = {Forbes Magazine},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Peter Bou Saba
La « Distanciation Digitale » face à l'infodémie sur la Covid-19 Divers
Forbes France, 2021.
@misc{bou_saba_1512,
title = {La « Distanciation Digitale » face à l'infodémie sur la Covid-19},
author = {Peter Bou Saba},
url = {https://www.forbes.fr/technologie/la-distanciation-digitale-face-a-linfodemie-sur-la-covid-19/},
year = {2021},
date = {2021-02-01},
howpublished = {Forbes France},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Peter Bou Saba
Soigner le mal par le mal : recherche-action sur la technique de l'inoculation pour limiter les résistances à un projet TI Article de journal
Dans: Systèmes d'Information et Management, vol. 25, no. 3, p. 87-126, 2020.
@article{bou_saba_1192,
title = {Soigner le mal par le mal : recherche-action sur la technique de l'inoculation pour limiter les résistances à un projet TI},
author = {Peter Bou Saba},
url = {https://www.cairn.info/revue-systemes-d-information-et-management-2020-3-page-87.htm},
year = {2020},
date = {2020-12-01},
journal = {Systèmes d'Information et Management},
volume = {25},
number = {3},
pages = {87-126},
abstract = {La littérature académique propose un large éventail de méthodes de gestion du changement visant à identifier et réduire les résistances liées aux projets TI. Alors qu'en psychologie et sociologie, l'originalité de la méthode de l'inoculation a su séduire chercheurs comme praticiens, celle-ci n'a été que peu testée dans le domaine des systèmes d'information. Elle postule que de la même manière qu'un individu peut être vacciné contre un virus, il peut également s'autoprémunir d'influences négatives en s'exposant aux arguments avancés par les détracteurs du projet. La réfutation, à cet effet, consiste à fournir des arguments à l'individu pour l'aider à soutenir son attitude et à être capable de rejeter d'autres contre-argumentations à venir. Cette recherche dévoile les résultats d'une recherche-action menée pendant 3 ans auprès d'une société de conseil au sein de laquelle l'implémentation d'un système d'aide à la décision a été associée à de forts comportements de résistance face auxquels la technique de l'inoculation a été expérimentée pour en limiter les effets. Les résultats tendent à confirmer la contribution de ladite méthode sur la préservation des attitudes positives des partisans avec un effet « boomerang » relatif sur les détracteurs.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Erik Ernesto VAZQUEZ HERNANDEZ; Diana Davila Ruiz; Julio César García Martinez
Influence of consumer product categorization on digital sales: The mediating effect of conversion rate Article de journal
Dans: European Journal of Applied Business and Management, vol. 6, no. 4, p. 1-14, 2020.
@article{vazquez_hernandez_1412,
title = {Influence of consumer product categorization on digital sales: The mediating effect of conversion rate},
author = {Erik Ernesto VAZQUEZ HERNANDEZ and Diana Davila Ruiz and Julio César García Martinez},
url = {https://nidisag.isag.pt/index.php/IJAM/article/view/517},
year = {2020},
date = {2020-12-01},
journal = {European Journal of Applied Business and Management},
volume = {6},
number = {4},
pages = {1-14},
abstract = {Purpose: The objective is to know what the mediating effect of the category of consumer products on sales performance is.
Methodology: Data from 216 e-commerce platforms were used using the Search-Experience-Trust (SEC) categorization. Two t tests were used to confirm significant differences between product categories and regression analyzes were performed to test the hypotheses.
Results: The results show that the ease of evaluating products before consumption has two main effects in electronic commerce: 1) they increase web traffic and 2) they decrease their conversion rate. However, the results also show that the ease of evaluating a product category directly influences online sales per visitor, since the mediating effect of the conversion rate is only partial.
Implications: This study contributes in practice to be able to determine predictive models related to the supply and demand of retail products in electronic commerce and shows a way to segment consumers who depend on their perceptions of product categories.
Originality/Value: This research, unlike what is in the literature, contributes to the study of electronic commerce from the perspective of the company, and not from the perspective of the consumer, in the performance of sales and conversion rates.
Keywords: Category Management; Information Economics; E-commerce; Perceived product quality, Conversion rate.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
David Dupuis; Cédric Du Mouza; Nicolas Travers; Gaël Chareyron
Real-Time Influence Maximization in a RTB Setting Article de journal
Dans: Data Science and Engineering, vol. 5, no. 3, p. 224-239, 2020.
@article{dupuis_1233,
title = {Real-Time Influence Maximization in a RTB Setting},
author = {David Dupuis and Cédric Du Mouza and Nicolas Travers and Gaël Chareyron},
url = {https://link.springer.com/article/10.1007%2Fs41019-020-00132-2},
year = {2020},
date = {2020-09-01},
journal = {Data Science and Engineering},
volume = {5},
number = {3},
pages = {224-239},
abstract = {To maximize the impact of an advertisement campaign on social networks, the real-time bidding (RTB) systems aim at targeting the most influential users of this network. Influence maximization (IM) is a solution that addresses this issue by maximizing the coverage of the network with top-k influencers who maximize the diffusion of information. Associated with online advertising strategies at Web scale, RTB is faced with complex ad placement decisions in real time to deal with a high-speed stream of online users. To tackle this issue, IM strategies should be modified in order to integrate RTB constraints. While most traditional IM methods deal with static sets of top influencers, they hardly address the dynamic influence targeting issue by integrating short time decision, no interchange and stream's incompleteness. This paper proposes a real-time influence maximization approach which takes influence maximization decisions within a real-time bidding environment. A deep analysis of influence scores of users over several social networks is presented as well a strategy to guarantee the impact of an IM strategy in order to define the budget of an ad campaign. Finally, we offer a thorough experimental process to compare static versus dynamic IM solutions wrt. influence scores.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hajer Kefi; Daniel Maar
The power of lurking: Assessing the online experience of luxury brand fan page followers Article de journal
Dans: Journal Of Business Research, vol. 117, p. 579-586, 2020.
@article{kefi_1432,
title = {The power of lurking: Assessing the online experience of luxury brand fan page followers},
author = {Hajer Kefi and Daniel Maar},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0148296318303886?via%3Dihub},
year = {2020},
date = {2020-09-01},
journal = {Journal Of Business Research},
volume = {117},
pages = {579-586},
abstract = {x},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Edouard Pignot; Davide Nicolini; Mark Thompson
Affective Politics and Technology Buy-In: A Framework of Social, Political, and Fantasmatic Logics Article de journal
Dans: Journal Of The Association For Information Systems, vol. 21, no. 4, p. 901-935, 2020.
@article{pignot_1672,
title = {Affective Politics and Technology Buy-In: A Framework of Social, Political, and Fantasmatic Logics},
author = {Edouard Pignot and Davide Nicolini and Mark Thompson},
url = {https://aisel.aisnet.org/jais/vol21/iss4/6/},
year = {2020},
date = {2020-07-01},
journal = {Journal Of The Association For Information Systems},
volume = {21},
number = {4},
pages = {901-935},
abstract = {We propose a socially informed explanation of technology framing by examining technology ?buy-in??actors' relative susceptibility to such framing. We draw on the field of critical social theory to introduce the ?Logics,? a new framework to the IS discipline that reveals a performative relationship between collective framing, power, and affect. The Logics enable us to study buy-in by revealing the differing degrees of affective self-identification that underpin and color social practices, showing their inherently political nature. We exemplify the affective as well as social politics of buy-in with an account of Unity 3D, a market-leading game engine that underwent a major repositioning from ?fringe? to ?mainstream? markets, and discuss four poles of affective positioning with which to conceptualize technology buy-in. We conclude by highlighting the consequent need for greater political and ethical awareness about the framing of IS and by proposing a framework for conceptualizing actors' orientations toward and thus possible buy-in or resistance to technology framing.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Karina Sokolova; Hajer Kefi
Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions Article de journal
Dans: Journal Of Retailing And Consumer Services, vol. 53, p. 101742, 2020.
@article{sokolova_1428,
title = {Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions},
author = {Karina Sokolova and Hajer Kefi},
url = {https://www.sciencedirect.com/science/article/pii/S0969698918307963},
year = {2020},
date = {2020-03-01},
journal = {Journal Of Retailing And Consumer Services},
volume = {53},
pages = {101742},
abstract = {Nowadays social network influencers play an important role in marketing by introducing products to their audience. In this article, we investigate the persuasion cues related to beauty and fashion influencers present on YouTube},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Islam Najmul A.K.M.; Matti Mäntymäki; Hajer Kefi
Decomposing social networking site regret: a uses and gratifications approach Article de journal
Dans: Information Technology & People, vol. 33, no. 1, p. 83-105, 2020.
@article{najmul_a.k.m._1430,
title = {Decomposing social networking site regret: a uses and gratifications approach},
author = {Islam Najmul A.K.M. and Matti Mäntymäki and Hajer Kefi},
url = {https://www.emerald.com/insight/content/doi/10.1108/ITP-04-2018-0184/full/html},
year = {2020},
date = {2020-01-01},
journal = {Information Technology & People},
volume = {33},
number = {1},
pages = {83-105},
abstract = {x},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Oussama Ayoub; Christophe Rodrigues; Nicolas Travers
Adaptive Search Engine for Heterogeneous Documents Conférence
36ème Conférence sur la Gestion de Données, virtual, 2020.
@conference{ayoub_1277,
title = {Adaptive Search Engine for Heterogeneous Documents},
author = {Oussama Ayoub and Christophe Rodrigues and Nicolas Travers},
url = {https://bda.lip6.fr/soumissions-acceptees/},
year = {2020},
date = {2020-10-01},
booktitle = {36ème Conférence sur la Gestion de Données},
address = {virtual},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen
M2SGD: Learning to Learn Important Weights Conférence
IEEE Conference on Computer Vision and Pattern Recognition Workshops, Seattle, USA, 2020.
@conference{i-hsien_kuo_1765,
title = {M2SGD: Learning to Learn Important Weights},
author = {Nicholas I-Hsien Kuo and Mehrtash Harandi and Nicolas Fourrier and Christian Walder and Gabriela Ferraro and Hanna Suominen},
url = {https://ieeexplore.ieee.org/document/9150875},
year = {2020},
date = {2020-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops},
address = {Seattle, USA},
abstract = {Meta-learning concerns rapid knowledge acquisition. One popular approach cast optimisation as a learning problem and it has been shown that learnt neural optimisers updated base learners more quickly than their handcrafted counterparts. In this paper, we learn an optimisation rule that sparsely updates the learner parameters and removes redundant weights. We present Masked Meta-SGD (M 2 SGD), a neural optimiser which is not only capable of updating learners quickly, but also capable of removing 83.71% weights for ResNet20s. We release our codes at https://github.com/Nic5472K/CLVISION2020_CVPR_M2SGD},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Christophe Rodrigues; Pegah Alizadeh; Dmitry Bondarenko
Industrie 4.0 : Prédiction de données réelles par fine-tuning à partir de simulations Conférence
Extraction et Gestion de Connaissances, Bruxelles, Belgique, 2020.
@conference{rodrigues_1077,
title = {Industrie 4.0 : Prédiction de données réelles par fine-tuning à partir de simulations},
author = {Christophe Rodrigues and Pegah Alizadeh and Dmitry Bondarenko},
url = {https://egc2020.sciencesconf.org/resource/page/id/28},
year = {2020},
date = {2020-01-01},
booktitle = {Extraction et Gestion de Connaissances},
address = {Bruxelles, Belgique},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Faten Atigui; Asma Mokrani; Nicolas Travers
DataGuide : une approche pour l'implantation de schémas NoSQL Conférence
Extraction et Gestion de Connaissances, Bruxelles, Belgique, 2020.
@conference{atigui_1079,
title = {DataGuide : une approche pour l'implantation de schémas NoSQL},
author = {Faten Atigui and Asma Mokrani and Nicolas Travers},
url = {https://egc2020.sciencesconf.org/resource/page/id/28},
year = {2020},
date = {2020-01-01},
booktitle = {Extraction et Gestion de Connaissances},
address = {Bruxelles, Belgique},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Aurélien Bossard; David Stéphane Belemkoabga; Abdallah Essa; Valentin Nyzam; Christophe Rodrigues; Kévin Sylla
Génération de résumés abstractifs de commentaires sportifs Conférence
Workshop TextMine - Atelier sur la Fouille de Textes, conférence EGC - Extraction et Gestion de Connaissances, Bruxelles, Belgique, 2020.
@conference{bossard_1235,
title = {Génération de résumés abstractifs de commentaires sportifs},
author = {Aurélien Bossard and David Stéphane Belemkoabga and Abdallah Essa and Valentin Nyzam and Christophe Rodrigues and Kévin Sylla},
url = {https://egc2020.sciencesconf.org/},
year = {2020},
date = {2020-01-01},
booktitle = {Workshop TextMine - Atelier sur la Fouille de Textes, conférence EGC - Extraction et Gestion de Connaissances},
address = {Bruxelles, Belgique},
abstract = {Dans ce papier, nous proposons une méthode permettant de générer automatiquement à partir de commentaires réalisés en direct par des journalistes sportifs un résumé de match de football. Nous montrons que cette tâche difficile met en échec les approches extractives et proposons dans un premier temps un modèle d'apprentissage reposant sur des réseaux de neurones profonds afin de sélectionner les phrases les plus pertinentes. Dans un second temps, cette réduction du bruit sur les commentaires nous permet d'apprendre à générer des résumés abstractifs à l'aide d'un réseau de neurones de type pointer-generator et nous montrons l'intérêt de la sélection des phrases pertinentes ainsi que la qualité des résumés créés automatiquement. Nous présentons des premiers résultats encourageants.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Hajer Kefi; Michel Kalika; Prashant Palvia
Information Technology Issues in France Recueil
Dans: P., Palvia (Ed.): The World IT Project: Global Issues in Information Technology, vol. 9, p. 105-116, World Scientific, 2020, ISBN: 978-981-120-863-8.
@incollection{kefi_1490,
title = {Information Technology Issues in France},
author = {Hajer Kefi and Michel Kalika and Prashant Palvia},
editor = {Palvia P. et al.},
url = {https://www.worldscientific.com/doi/10.1142/9789811208645_0009},
issn = {978-981-120-863-8},
year = {2020},
date = {2020-05-01},
booktitle = {The World IT Project: Global Issues in Information Technology},
volume = {9},
pages = {105-116},
publisher = {World Scientific},
note = {https://doi.org/10.1142/9789811208645_0009},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Gaël Chareyron; Sébastien Jacquot
Star Architecture from Below: Narratives and Images from Social Networks Recueil
Dans: Davide Ponzini Nadia Alaily-Mattar, Alain Thierstein (Ed.): About Star Architecture, p. 133-150, Springer, Cham, 2020, ISBN: 978-3-030-23924-4.
@incollection{chareyron_1200,
title = {Star Architecture from Below: Narratives and Images from Social Networks},
author = {Gaël Chareyron and Sébastien Jacquot},
editor = {Nadia Alaily-Mattar, Davide Ponzini, Alain Thierstein},
url = {https://link.springer.com/chapter/10.1007/978-3-030-23925-1_9},
issn = {978-3-030-23924-4},
year = {2020},
date = {2020-03-01},
booktitle = {About Star Architecture},
pages = {133-150},
publisher = {Springer, Cham},
abstract = {This chapter studies star architecture through the analysis of tags and comments on social networks (TripAdvisor and Instagram). The objective is the analysis of star architectural projects from below, that is, the way visitors depict and frame star architecture and express aesthetical judgement, to characterise ?star architecture? and ?iconicity? from the point of view of its reception. The analysis of the comments on a selection of sites shows the importance of the architectural component in the tourist experience, not reducible to the mention of the star architect, but presenting multiple types of discourse, pluralising the reception of star architecture. The purely ?star? architectural dimension, based on the notoriety of the architect, can then be distinguished from the elements referring to the visual effects of buildings or to a perception of the building in its environment, closer to the notion of iconic building.},
note = {https://doi.org/10.1007/978-3-030-23925-1_9},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Antoine Harfouche; Jamil Arida; Mary Ann B. El Rassi; Peter Bou Saba; Mario Saba
Dans: Harfouche A. Baghdadi Y., Musso M. (Ed.): ICT for an Inclusive World. Lecture Notes in Information Systems and Organisation, vol. vol 35, p. 439-452, Springer, Cham, 2020.
@incollection{harfouche_1115,
title = {Success and Failure of the Institutionalization of IS Dispositives Within Organizations: The Effect of External Pressures and the Role of Actors},
author = {Antoine Harfouche and Jamil Arida and Mary Ann B. El Rassi and Peter Bou Saba and Mario Saba},
editor = {Baghdadi Y., Harfouche A., Musso M.},
url = {https://link.springer.com/chapter/10.1007%2F978-3-030-34269-2_30},
year = {2020},
date = {2020-01-01},
booktitle = {ICT for an Inclusive World. Lecture Notes in Information Systems and Organisation},
volume = {vol 35},
pages = {439-452},
publisher = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Hajer Kefi; Chiraz Aouina Mejri
Should We Continue Using Intelligent Virtual Assistants? The Role of Gratifications and Privacy Concerns Inproceedings
Dans: Academy of marketing science annual conference, Virtual, 2020.
@inproceedings{kefi_1467,
title = {Should We Continue Using Intelligent Virtual Assistants? The Role of Gratifications and Privacy Concerns},
author = {Hajer Kefi and Chiraz Aouina Mejri},
url = {https://www.ams-web.org/event/2020AMSVirtual},
year = {2020},
date = {2020-12-01},
booktitle = {Academy of marketing science annual conference},
address = {Virtual},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Nicolas Loas; Nicolas Travers
Indicators for Measuring Tourist Mobility Inproceedings
Dans: International Conference on Web Information Systems Engineering, Amsterdam and Leiden, Netherlands, 2020, ISBN: 978-3-030-62004-2.
@inproceedings{djebali_1273,
title = {Indicators for Measuring Tourist Mobility},
author = {Sonia Djebali and Nicolas Loas and Nicolas Travers},
url = {http://wasp.cs.vu.nl/WISE2020/accept.html},
issn = {978-3-030-62004-2},
year = {2020},
date = {2020-10-01},
booktitle = {International Conference on Web Information Systems Engineering},
address = {Amsterdam and Leiden, Netherlands},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jihane Mali; Faten Atigui; Ahmed Azough; Nicolas Travers
How to Implement NoSQL Schemas with ModelDrivenGuide? Inproceedings
Dans: 36ème conférence sur la Gestion de données, virtual, 2020.
@inproceedings{mali_1381,
title = {How to Implement NoSQL Schemas with ModelDrivenGuide?},
author = {Jihane Mali and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {https://bda.lip6.fr/programme/},
year = {2020},
date = {2020-10-01},
booktitle = {36ème conférence sur la Gestion de données},
address = {virtual},
abstract = {With the evolution of data in terms of volume, variety and velocity, designing and developing an Information Systems (IS) requires studying the best solutions to store and manipulate data while respecting the user's requirements. In this demonstration, we show how to implement an IS using the ModelDrivenGuide, which is a semi-automated approach based on transformation rules starting from a conceptual model, then going from one logical model to an other by re?nement to finally the chosen physical model.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jihane Mali; Faten Atigui; Ahmed Azough; Nicolas Travers
ModelDrivenGuide: An Approach for Implementing NoSQL Schemas Inproceedings
Dans: The 31st International Conference on Database and Expert Systems Applications DEXA 2020, Bratislava, Slovakia, 2020.
@inproceedings{mali_1274,
title = {ModelDrivenGuide: An Approach for Implementing NoSQL Schemas},
author = {Jihane Mali and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {http://www.dexa.org/},
year = {2020},
date = {2020-09-01},
booktitle = {The 31st International Conference on Database and Expert Systems Applications DEXA 2020},
address = {Bratislava, Slovakia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks Inproceedings
Dans: IEEE International Joint Conference on Neural Networks, Glasgow, UK, 2020.
@inproceedings{i-hsien_kuo_1763,
title = {An Input Residual Connection for Simplifying Gated Recurrent Neural Networks},
author = {Nicholas I-Hsien Kuo and Mehrtash Harandi and Nicolas Fourrier and Christian Walder and Gabriela Ferraro and Hanna Suominen},
url = {https://ieeexplore.ieee.org/document/9207238},
year = {2020},
date = {2020-07-01},
booktitle = {IEEE International Joint Conference on Neural Networks},
address = {Glasgow, UK},
abstract = {Gated Recurrent Neural Networks (GRNNs) are important models that continue to push the state-of-the-art solutions across different machine learning problems. However, they are composed of intricate components that are generally not well understood. We increase GRNN interpretability by linking the canonical Gated Recurrent Unit (GRU) design to the well-studied Hopfield network. This connection allowed us to identify network redundancies, which we simplified with an Input Residual Connection (IRC). We tested GRNNs against their IRC counterparts on language modelling. In addition, we proposed an Input Highway Connection (IHC) as an advance application of the IRC and then evaluated the most widely applied GRNN of the Long Short-Term Memory (LSTM) and IHC-LSTM on tasks of i) image generation and ii) learning to learn to update another learner-network. Despite parameter reductions, all IRC-GRNNs showed either comparative or superior generalisation than their baseline models. Furthermore, compared to LSTM, the IHC-LSTM removed 85.4% parameters on image generation. In conclusion, the IRC is applicable, but not limited, to the GRNN designs of GRUs and LSTMs but also to FastGRNNs, Simple Recurrent Units (SRUs), and Strongly-Typed Recurrent Neural Networks (T-RNNs).},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gaël Chareyron; Ugo Quelhas; Nicolas Travers
Tourism Analysis on Graphs with Neo4Tourism Inproceedings
Dans: International Conference on Web Information Systems Engineering, Hong Kong, China, 2020, ISBN: 978-981-15-3280-1.
@inproceedings{chareyron_1070,
title = {Tourism Analysis on Graphs with Neo4Tourism},
author = {Gaël Chareyron and Ugo Quelhas and Nicolas Travers},
url = {https://wise2019.comp.polyu.edu.hk/
https://link.springer.com/chapter/10.1007%2F978-981-15-3281-8_4},
issn = {978-981-15-3280-1},
year = {2020},
date = {2020-02-01},
booktitle = {International Conference on Web Information Systems Engineering},
address = {Hong Kong, China},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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