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
Thi Thanh Huong Tran; Kate Robinson; Nicholas Paparoidamis
Sharing with perfect strangers: The effects of self-disclosure on consumers' trust, risk perception, and behavioral intention in the sharing economy Article de journal
Dans: Journal Of Business Research, vol. 144, no. May 2022, p. 1-16, 2022.
@article{tran_1771,
title = {Sharing with perfect strangers: The effects of self-disclosure on consumers' trust, risk perception, and behavioral intention in the sharing economy},
author = {Thi Thanh Huong Tran and Kate Robinson and Nicholas Paparoidamis},
url = {https://www.sciencedirect.com/science/article/pii/S0148296322000935?dgcid=author},
year = {2022},
date = {2022-05-01},
journal = {Journal Of Business Research},
volume = {144},
number = {May 2022},
pages = {1-16},
abstract = {The transactional and disposable nature of liquid consumption has placed trust as the lifeblood of sharing economy service innovation, enabling billions of strangers across the globe to connect and share in the face of transaction risks. However, managers and service providers may not realize that self-disclosure acts as a basis to build trust and mitigate risk in the sharing economy. In four studies across different nations, we demonstrate that service providers' self-disclosure not only generates consumer trust but also reduces their risk perception, which subsequently encourages legitimate transactions on sharing platforms. The findings reveal that when consumers and service providers are objectively similar, consumers do not pay much attention to service providers' disclosed information. Conversely, in the case of objective dissimilarity, consumers are more attentive to personal and intimate information shared by service providers. Consumer self-esteem plays differential moderating roles in the link between service providers' self-disclosure and consumer responses.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Emna Brahem; Florence Depoers; Faten Lakhal
Corporate social responsibility and earnings quality in family firms Article de journal
Dans: Journal of Applied Accounting Research, 2022.
@article{brahem_1823,
title = {Corporate social responsibility and earnings quality in family firms},
author = {Emna Brahem and Florence Depoers and Faten Lakhal},
url = {https://doi.org/10.1108/JAAR-05-2021-0139},
year = {2022},
date = {2022-03-01},
journal = {Journal of Applied Accounting Research},
abstract = {The purpose of this paper is to investigate the relationship between corporate social responsibility and earnings quality, specifically in family firms.
Design/methodology/approach
Based on a sample of French-listed firms from the period 2005 to 2016, the authors use the instrumental variable approach based on a two-stage least-squares (2SLS) estimator.
Findings
The results show that Corporate Social Responsibility (CSR) performance is positively associated with the relevance and faithful representation of earnings. This means that companies that commit to CSR activities are more likely to provide high earnings quality. The results also show that the positive association between CSR performance and earnings quality is more prevalent in family firms suggesting that socially responsible family firms are willing to preserve their socio-emotional wealth by disclosing high quality earnings.
Research limitations/implications
The results suggest that French firms commit to CSR to satisfy the interests of their stakeholders by disclosing high-quality information supporting the conflict resolution view of CSR. The findings also support the socio-emotional wealth perspective and suggest that family firms that engage in CSR activities provide a rich informational environment through high earnings quality.
Practical implications
This study's findings can be thus useful to investors for their portfolio management decisions by enabling them to identify the profile of companies with high earnings quality. These results may also help standard-setters and capital-market regulators improve market transparency by introducing new requirements to encourage investing in CSR.
Originality/value
This study extends the research on the relationship between CSR and earnings quality by focusing on two fundamental characteristics including relevance and faithful representation. This paper focuses on the effect of CSR on earnings quality in the specific context of family firms. This study offers then a better understanding of whether socially responsible family firms communicate stronger or weaker earnings quality than non-family firms based on the agency and socio-emotional wealth perspectives.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Tiange Zhu; Raphaël Fournier-S'niehotta; Philippe Rigaux; Nicolas Travers
A Framework for Content-Based Search in Large Music Collections Article de journal
Dans: Big Data and Cognitive Computing, vol. 6, no. 1, p. 23, 2022.
@article{zhu_1776,
title = {A Framework for Content-Based Search in Large Music Collections},
author = {Tiange Zhu and Raphaël Fournier-S'niehotta and Philippe Rigaux and Nicolas Travers},
url = {https://www.mdpi.com/2504-2289/6/1/23},
year = {2022},
date = {2022-02-01},
journal = {Big Data and Cognitive Computing},
volume = {6},
number = {1},
pages = {23},
abstract = {We address the problem of scalable content-based search in large collections of music documents. Music content is highly complex and versatile and presents multiple facets that can be considered independently or in combination. Moreover, music documents can be digitally encoded in many ways. We propose a general framework for building a scalable search engine, based on (i) a music description language that represents music content independently from a specific encoding, (ii) an extendible list of feature-extraction functions, and (iii) indexing, searching, and ranking procedures designed to be integrated into the standard architecture of a text-oriented search engine. As a proof of concept, we also detail an actual implementation of the framework for searching in large collections of XML-encoded music scores, based on the popular ElasticSearch system. It is released as open-source in GitHub, and available as a ready-to-use Docker image for communities that manage large collections of digitized music documents},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Yuehgoh Foutse; Sonia Djebali; Nicolas Travers
A Technology Intelligence Recommendation System based on Multiplex Networks Conférence
Groupe de Recherche - Masses de Données, Informations et Connaissances en Sciences (MADICS), CNRS Lyon, France, 2022.
@conference{foutse_1833,
title = {A Technology Intelligence Recommendation System based on Multiplex Networks},
author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},
year = {2022},
date = {2022-07-01},
booktitle = {Groupe de Recherche - Masses de Données, Informations et Connaissances en Sciences (MADICS)},
pages = {2},
address = {Lyon, France},
organization = {CNRS},
abstract = {Mon travail de recherche se focalise sur les systèmes de recommandation pour la veille technologique chez COEXEL, une société fondée par Vincent Boisard, acteur majeur de ce domaine grâce à son outil de gestion électronique de l'information basée sur le web, appelée Mytwip®. Ces données ciblées correspondent à des évolutions technologiques visibles sur le Web pour lesquelles un expert du domaine souhaite rester informé de la concurrence ou des usages.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Nicolas Travers
Panel : Représentation du contenu et extraction de connaissances à partir des textes : les systèmes de gestion de graphes, l'intelligence artificielle et les approches sémantiques Conférence
Action DOING - GdR MADICS, CNRS Lyon, France, 2022.
@conference{travers_1834,
title = {Panel : Représentation du contenu et extraction de connaissances à partir des textes : les systèmes de gestion de graphes, l'intelligence artificielle et les approches sémantiques},
author = {Nicolas Travers},
year = {2022},
date = {2022-07-01},
booktitle = {Action DOING - GdR MADICS},
address = {Lyon, France},
organization = {CNRS},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Guillaume Guérard; Sonia Djebali; Quentin Gabot
Tourists Profiling by Interest Analysis Conférence
4ème Symposium du GDR CNRS MaDICS, Lyon, France, 2022.
@conference{guerard_1835,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},
year = {2022},
date = {2022-07-01},
booktitle = {4ème Symposium du GDR CNRS MaDICS},
address = {Lyon, France},
abstract = {I'm a research student in MSc in Computer Science, my research study concern the behaviors of tourists using digital traces they leave during their travels on social medias. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions. In my works, I suggest a study focused on both qualitative and quantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Adrien Lefevre; Xiao Xiao; Clément Duhart
The Interactive Musical Score: An Electronic Score To Hear The Notes From A Paper Score Conférence
New Interfaces for Musical Expression, Aotearoa, New Zealand, 2022.
@conference{lefevre_1830,
title = {The Interactive Musical Score: An Electronic Score To Hear The Notes From A Paper Score},
author = {Adrien Lefevre and Xiao Xiao and Clément Duhart},
year = {2022},
date = {2022-05-01},
booktitle = {New Interfaces for Musical Expression},
address = {Aotearoa, New Zealand},
abstract = {The Interactive Score is a novel instrumental device for children's solfege learning. Paper scores are overlaid onto a staff drawn with conductive ink and connected to an Adafruit musical box. Pressing a note in the score triggers its sound, and running fingers over the notes plays a melody.
Learning to read music from the score is an essential part of Western classical music training. Traditionally, children learn the different music notes by singing or playing notes on an instrument, guided by a teacher. We envision a way for children to learn the correspondence between notation and sound by directly touching the score.
The Interactive Score is effortless to use and allows children to make discoveries on their own. The correspondence between the visual, the tactile , and the sound can aid in learning.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Sonia Djebali; Nicolas Travers; Gaël Chareyron
Indicateurs de Mesure pour la Mobilité Touristique Conférence
Atelier Traces numériques et mobilité @ INFormatique des ORganisations et Systèmes d'Information et de Décision, Dijon, France, 2022.
@conference{djebali_1832,
title = {Indicateurs de Mesure pour la Mobilité Touristique},
author = {Sonia Djebali and Nicolas Travers and Gaël Chareyron},
year = {2022},
date = {2022-05-01},
booktitle = {Atelier Traces numériques et mobilité @ INFormatique des ORganisations et Systèmes d'Information et de Décision},
pages = {4},
address = {Dijon, France},
abstract = {Les traces numériques laissées par les utilisateurs sur les réseaux sociaux sont deve- nues un moyen populaire d'analyse du comportement des touristes dont l'analyse a un impact dans le marketing touristique pour construire des outils d'aide à la décision dans le tourisme. Nous proposons des mesures pour capturer la mobilité et la propagation touristique sur diffé- rentes zones qui s'appuie sur le réseau TripAdvisor et la base de données graphes Neo4j.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Madalena Nicolae; Valentin Martinez-Missir; Marc Teyssier
The Rise of Organic Soft Robotics : Strategies for Fabrication Conférence
ACM CHI 2022 Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 2022.
@conference{nicolae_1812,
title = {The Rise of Organic Soft Robotics : Strategies for Fabrication},
author = {Madalena Nicolae and Valentin Martinez-Missir and Marc Teyssier},
editor = {ACM},
year = {2022},
date = {2022-04-01},
booktitle = {ACM CHI 2022 Conference on Human Factors in Computing Systems},
address = {New Orleans, LA, USA},
edition = {2022},
abstract = {Soft Robotics rapidly emerged as an area of interest in Human-Computer Interaction (HCI). Simple DIY fabrication processes and platforms were re-adapted from traditional digital fabrication tools, resulting in making soft materials-based prototyping accessible to the design and maker community.
There is a growing interest in the use of bio-based and bio-degradable materials in design and prototyping, creating discussions around sustainable design practices as new motor of interdisciplinary exchange. These materials are abundant in Nature, have properties extensively explored in bio-engineering, and are potent in driving sustainability.
However, soft robotics and shape-changing interfaces are not yet developed using these new materials alternatives.
In this context, we highlight potential materials and advocate for their democratized use in soft robotics and HCI. More precisely, we propose an empiric overview of the main challenges in prototyping with bio-based and/or bio-degradable materials, pointing therefore how fabrication processes and tools need to be adjusted once again.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Benjamin Bobbia
Donsker's Theorem for local Data-Driven Empirical Measure Conférence
Séminaire du laboratoire Modal X, Nanterre, France, 2022.
@conference{bobbia_1773,
title = {Donsker's Theorem for local Data-Driven Empirical Measure},
author = {Benjamin Bobbia},
year = {2022},
date = {2022-02-01},
booktitle = {Séminaire du laboratoire Modal X},
address = {Nanterre, France},
abstract = {Nowadays, empirical processes are well known objects. A reason that push forward theirs studies is that, in many models, we can write the estimators as images of empirical measures. In this work we investigate the case of local empirical measures built over a sub-sample with data conditioned to be in a certain area. There exists numerous results about such question, but what can we say if the area of interest is data driven ? In the present work we present a general framework which allows to derive asymptotic results for this particular empirical measures (with "low" cost in terms of technicality and assumptions). Then, we use this approach in the framework of extreme values theory deriving tail and quantile estimations.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Gaël Chareyron; Sébastien Jacquot
Dans: Ascaniis, Silvia De; Cantoni, Lorenzo (Ed.): Handbook on Heritage, Sustainable Tourism and Digital Media, p. 153-166, Edward Elgar Publishing, 2022, ISBN: 9781788970075.
@incollection{chareyron_1807,
title = {Studying tourism practices at heritage sites through online published content: the case of the World Heritage Site Strasbourg, Grande-Ile and Neustadt},
author = {Gaël Chareyron and Sébastien Jacquot},
editor = {Silvia De Ascaniis and Lorenzo Cantoni},
url = {https://www.elgaronline.com/view/edcoll/9781788970075/9781788970075.00021.xml},
issn = {9781788970075},
year = {2022},
date = {2022-04-01},
booktitle = {Handbook on Heritage, Sustainable Tourism and Digital Media},
pages = {153-166},
publisher = {Edward Elgar Publishing},
abstract = {The development of web 2.0 has transformed the role of tourists in tourism promotion, in relation with the development of user-generated content. This chapter is a methodological contribution to the study of user-generated content on tourist social networks, which represent the point of view of the tourists themselves. It presents methods to study tourism practices at heritage sites by analyzing images from Flickr and reviews published online on TripAdvisor. This analysis of online social networks is a fundamental tool now for the tourist observation of heritage destinations, to understand how the tourists experience and live the destination, and the meanings they give to the visited areas and sites. This requires combining cartographic analysis, statistical analysis and content analysis. We apply these methods to study tourism in Strasbourg, in relation with the extension of the UNESCO perimeter in 2018. The analysis of the geolocalization of Flickr photographs and the content analysis of TripAdvisor reviews enable us question the visibility and tourist coherence of the new perimeter, and to identify the representations attached to its monuments and sites.},
keywords = {},
pubstate = {online},
tppubtype = {incollection}
}
Julien Martin-Prin; Imen Ouled Dlala; Nicolas Travers; Said Jabbour
A Distributed SAT-based Framework for Closed Frequent Itemset Mining Inproceedings
Dans: International Conference on Advanced Data Mining and Applications, Springer, Brisbane, Australia, 2022.
@inproceedings{martin-prin_1890,
title = {A Distributed SAT-based Framework for Closed Frequent Itemset Mining},
author = {Julien Martin-Prin and Imen Ouled Dlala and Nicolas Travers and Said Jabbour},
url = {https://adma2022.uqcloud.net/important_date.html},
year = {2022},
date = {2022-11-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
publisher = {Springer},
address = {Brisbane, Australia},
abstract = {Frequent Itemset Mining is an essential part of data mining. SAT-based approaches that extract frequent itemsets in big data encounter significant challenges when computing power and storage capacity are limited. This paper proposes an efficient distributed SAT-based framework for the Closed Frequent Itemset Mining problem (CFIM) which minimizes communications throughout the distributed architecture and reduces bottlenecks due to shared memory. Moreover, it enhances scalability and fault tolerance. This approach makes use of a Computation-Distributed Paradigm to enumerate efficiently the set of all closed itemsets, by reducing the processing time. To the best of our knowledge, this paper presents the first attempt towards a distributed SAT-based approach for CFIM. An extensive empirical evaluation on various real-word datasets shows the efficiency of the approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hugo Prevoteau; Sonia Djebali; Zhao Laiping; Nicolas Travers
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Inproceedings
Dans: Bases de Données Avancées, Clermont-Ferrand, France, 2022.
@inproceedings{prevoteau_1921,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://bda2022.sciencesconf.org/resource/page/id/13},
year = {2022},
date = {2022-10-01},
booktitle = {Bases de Données Avancées},
address = {Clermont-Ferrand, France},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to un- derstand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs.
A new weighted measure is introduced for circulation charac- terization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Hugo Prevoteau; Sonia Djebali; Zhao Laiping; Nicolas Travers
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Inproceedings
Dans: ACM Symposium on Applied Computing, ACM, Brno, Czec Republic, 2022.
@inproceedings{prevoteau_1749,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://www.sigapp.org/sac/sac2022/index.html},
year = {2022},
date = {2022-04-01},
booktitle = {ACM Symposium on Applied Computing},
publisher = {ACM},
address = {Brno, Czec Republic},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to understand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs. Those graphs reflect traffic flows which need to be analyzed over time and space. A new weighted measure is introduced for circulation characterization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior. The approach is simulated on various graphs and evaluated experimentaly over a real dataset at various geographic zones, scales, communities, and time.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Christophe Haikal; Pegah Alizadeh; Christophe Rodrigues; Bi Chongke
Place Embedding across Cities in Location-based Social Networks Inproceedings
Dans: ACM Symposium on Applied Computing, Brno, Czech Republic, 2022.
@inproceedings{haikal_1767,
title = {Place Embedding across Cities in Location-based Social Networks},
author = {Christophe Haikal and Pegah Alizadeh and Christophe Rodrigues and Bi Chongke},
url = {https://www.sigapp.org/sac/sac2022/file2022/TOC-Jan-23-2022.pdf},
year = {2022},
date = {2022-04-01},
booktitle = {ACM Symposium on Applied Computing},
address = {Brno, Czech Republic},
abstract = {In the urban computing field, analysing human mobility patterns are used to understand tourists and residents behaviours, or urban areas functionalities. Transferring the information from one city to another also assists urban strategists in comparing two cities
and applying their knowledge from one to another, such as plan- ning new touristic attractions or implementing some successful urban strategies in new cities. For this goal, in this work, we propose a twofold semi-supervised approach: we first propose a place embedding method based on users mobility trajectories in each city individually, second we learn a place translation function between two cities using the set of reviews written for each place. The translation function is based on measuring textual and semantic
similarities of the reviews. Extensive experiments on two french metropolitan areas (Lille and Bordeaux) based on the extracted data from Trip-Advisor demonstrate the effectiveness of our approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jihane Mali; Ahvar Shohreh; Faten Atigui; Ahmed Azough; Nicolas Travers
A Global Model-Driven Denormalization Approach for Schema Migration Inproceedings
Dans: International Conference on Research Challenges in Information Science, Springer, Barcelona, Spain, 2022.
@inproceedings{mali_1804,
title = {A Global Model-Driven Denormalization Approach for Schema Migration},
author = {Jihane Mali and Ahvar Shohreh and Faten Atigui and Ahmed Azough and Nicolas Travers},
year = {2022},
date = {2022-03-01},
booktitle = {International Conference on Research Challenges in Information Science},
publisher = {Springer},
address = {Barcelona, Spain},
abstract = {Abstract. With data's evolution in terms of volume, variety, and ve- locity, Information Systems (IS) administrators have to steadily adapt their data model and choose the best solution(s) to store and manage data in accordance with users' requirements. In this context, many exist- ing solutions transform a source data model into a target one, but none of them leads the administrator to choose the most suitable model by offering a limited solution space automatically calculated and adapted to his needs. We propose ModelDrivenGuide, an automatic global approach for leading the model transformation process. It starts by transforming the conceptual model into a logical model, and it defines refinement rules that help to generate all possible data models. Our approach then relies on a heuristic to reduce the search space by avoiding cycles and redun- dancies. We also propose a formalisation of the denormalization process and we discuss the completeness and the complexity of our approach.},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Adam Talbi; Arthur Viens; Louis-Clément Leroux; Morgane François; Mathias Caillol; Nga Nguyen
Feature Importance And Deep Learning For Android Malware Detection Inproceedings
Dans: International Conference on Information Systems Security and Privacy, Vienna, Austria, 2022.
@inproceedings{talbi_1741,
title = {Feature Importance And Deep Learning For Android Malware Detection},
author = {Adam Talbi and Arthur Viens and Louis-Clément Leroux and Morgane François and Mathias Caillol and Nga Nguyen},
url = {https://icissp.scitevents.org/Home.aspx},
year = {2022},
date = {2022-02-01},
booktitle = {International Conference on Information Systems Security and Privacy},
address = {Vienna, Austria},
abstract = {Effective and efficient malware detection is key in today's world to prevent systems from being compromised, to protect personal user data, and to tackle other security issues. In this paper, we worked on Android malware detection by using static analysis features and deep learning methods to separate benign applications from malicious ones. Custom feature vectors are extracted from the Drebin and the AndroZoo dataset and different data science methods of feature importance are used to improve the results of Deep Neural Network classification.
Experimental results on the Drebin dataset were significant with 99.31% accuracy in malware detection. We extended our work on more recent applications with a complete pipeline for the AndroZoo dataset, with about 40,000 APKs used from 2014 to 2021 pre-tagged as reported malicious or not. The pipeline includes static features extracted from the manifest file and bytecode such as suspicious behaviors, restricted and suspicious API calls, etc. The accuracy result for AndroZoo is 97.7%, confirming the power of deep learning on Android malware detection.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh
Clustering Approach to Solve Hierarchical Classification Problem Complexity Inproceedings
Dans: AAAI Conferece on Artificial Intelligence, Vancouver, Canada, 2022, ISBN: will be completed later.
@inproceedings{osmani_1768,
title = {Clustering Approach to Solve Hierarchical Classification Problem Complexity},
author = {Aomar Osmani and Massinissa Hamidi and Pegah Alizadeh},
url = {The proceeding is not ready yet.
Even the list of accepted papers is not published yet. I will modify this part as soon as I have them.},
issn = {will be completed later},
year = {2022},
date = {2022-01-01},
booktitle = {AAAI Conferece on Artificial Intelligence},
address = {Vancouver, Canada},
abstract = {In a large domain of classification problems for real applications, like human activity recognition, separable spaces between groups of concepts are easier to learn than each concept alone. This is because the search space biases required to separate groups of classes (or concepts) are more relevant than the ones needed to separate classes individually. For example, it is easier to learn the activities related to the body
movements group (running, walking) versus ?on-wheels? activities group (bicycling, driving a car), before learning more specific classes inside each of these groups. Despite the ob-
vious interest of this approach, our theoretical analysis shows a high complexity for finding an exact solution. We propose in this paper an original approach based on the association of clustering and classification approaches to overcome this limitation. We propose a better approach to learn the concepts by grouping classes recursively rather than learning them class by class. We introduce an effective greedy algorithm and two theoretical measures (namely cohesion and dispersion) to evaluate the connection between the clusters and the classes. Extensive experiments on the SHL dataset show that our approach improves classification performances while reducing the number of instances used to learn each concept.},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali; Quentin Gabot
Tourists Profiling by Interest Analysis Inproceedings
Dans: International Conference on Advanced Data Mining and Applications, p. 42-53, Springer, Cham, Virtual, 2022, ISBN: 978-3-030-95407-9.
@inproceedings{guerard_1662,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},
url = {https://link.springer.com/chapter/10.1007/978-3-030-95408-6_4},
issn = {978-3-030-95407-9},
year = {2022},
date = {2022-01-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
volume = {13088},
pages = {42-53},
publisher = {Springer, Cham},
address = {Virtual},
abstract = {With the recent digital revolution, analyzing of tourists' behaviors
and research elds associated with it have changed profoundly.
It is now easier to examine behaviors of tourists using digital traces they
leave during their travels. The studies conducted on diverse aspects of
tourism focus on quantitative aspects of digital traces to reach its conclusions.
In this paper, we suggest a study focused on both qualitative and
quantitative aspect of digital traces to understand the dynamics governing
tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
Edouard Pignot
Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control Article de journal
Dans: Organization, 2021.
@article{pignot_1750,
title = {Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control},
author = {Edouard Pignot},
url = {https://journals.sagepub.com/doi/10.1177/1350508420974523#},
year = {2021},
date = {2021-12-01},
journal = {Organization},
abstract = {This paper aims to address the dark side perspective on digital control and surveillance by emphasizing the affective grip of ideological control, namely the process that silently ensures the subjugation of digital labour, and which keeps the ?unexpectedness' of algorithmic practices at bay: that is, the propensity of users to contest digital prescriptions. In particular, the theoretical contribution of this paper is to combine Labour Process with psychoanalytically-informed, post-structuralist theory, in order to connect to, and further our understanding of, how and why digital workers assent to, or oppose, the interpellations of algorithmic ideology at work. To illustrate the operation of affective control in the Platform Economy, the emblematic example of ride-hailing platforms, such as Uber, and their algorithmic management, is revisited. Thus, the empirical section describes the way drivers are glued to the algorithm (e.g. for one more fare, or for the next surge pricing) in a way that prevents them, although not always, from considering genuine resistance to management. Finally, the paper discusses the central place of ideological fantasy and cynical enjoyment in the Platform Economy, as well as the ethical implications of the study.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Quentin Grossetti; Cédric Du Mouza; Nicolas Travers; Camélia Constantin
Reducing the filter bubble effect on Twitter by considering communities for recommendations Article de journal
Dans: International Journal of Web Information Systems, vol. 17, no. 6, p. 728?752, 2021.
@article{grossetti_1663,
title = {Reducing the filter bubble effect on Twitter by considering communities for recommendations},
author = {Quentin Grossetti and Cédric Du Mouza and Nicolas Travers and Camélia Constantin},
url = {https://www.emerald.com/insight/content/doi/10.1108/IJWIS-06-2021-0065/full/html},
year = {2021},
date = {2021-12-01},
journal = {International Journal of Web Information Systems},
volume = {17},
number = {6},
pages = {728?752},
abstract = {Purpose
Social network platforms are considered today as a major communication mean. Their success leads to an unprecedented growth of user-generated content; therefore, finding interesting content for a given user has become a major issue. Recommender systems allow these platforms to personalize individual experience and increase user engagement by filtering messages according to user interest and/or neighborhood. Recent research results show, however, that this content personalization might increase the echo chamber effect and create filter bubbles that restrain the diversity of opinions regarding the recommended content.
Design/methodology/approach
The purpose of this paper is to present a thorough study of communities on a large Twitter data set that quantifies the effect of recommender systems on users' behavior by creating filter bubbles. The authors further propose their community-aware model (CAM) that counters the impact of different recommender systems on information consumption.
Findings
The authors propose their CAM that counters the impact of different recommender systems on information consumption. The study results show that filter bubbles effects concern up to 10% of users and the proposed model based on the similarities between communities enhance recommendations.
Originality/value
The authors proposed the CAM approach, which relies on similarities between communities to re-rank lists of recommendations to weaken the filter bubble effect for these users.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Diana Davila Ruiz; Erik Ernesto Vazquez
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},
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},
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}
}
Pegah Alizadeh; Emiliano Traversi; Aomar Osmani
Deterministic policies based on maximum regrets in MDPs with imprecise rewards Article de journal
Dans: Ai Communications, 2021.
@article{alizadeh_1653,
title = {Deterministic policies based on maximum regrets in MDPs with imprecise rewards},
author = {Pegah Alizadeh and Emiliano Traversi and Aomar Osmani},
url = {https://content.iospress.com/articles/ai-communications/aic190632},
year = {2021},
date = {2021-09-01},
journal = {Ai Communications},
abstract = {Markov Decision Process Models (MDPs) are a powerful tool for planning tasks and sequential decision-making issues. In this work we deal with MDPs with imprecise rewards, often used when dealing with situations where the data is uncertain. In this context, we provide algorithms for finding the policy that minimizes the maximum regret. To the best of our knowledge, all the regret-based methods proposed in the literature focus on providing an optimal stochastic policy. We introduce for the first time a method to calculate an optimal deterministic policy using optimization approaches. Deterministic policies are easily interpretable for users because for a given state they provide a unique choice. To better motivate the use of an exact procedure for finding a deterministic policy, we show some (theoretical and experimental) cases where the intuitive idea of using a deterministic policy obtained after ?determinizing? the optimal stochastic policy leads to a policy far from the exact deterministic policy.},
keywords = {},
pubstate = {online},
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 = {},
pubstate = {published},
tppubtype = {article}
}
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},
tppubtype = {article}
}
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 = {},
pubstate = {published},
tppubtype = {article}
}
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}
}
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}
}
Zhenzhen Zhao; Marie Haikel-Elsabeh; Patricia Baudier; Damien Renard; Alexander Brem
Need for uniqueness and word of mouth in disruptive innovation adoption : the context of self-quantification Article de journal
Dans: Ieee Transactions On Engineering Management, 2021.
@article{zhao_1415,
title = {Need for uniqueness and word of mouth in disruptive innovation adoption : the context of self-quantification},
author = {Zhenzhen Zhao and Marie Haikel-Elsabeh and Patricia Baudier and Damien Renard and Alexander Brem},
url = {https://ieeexplore.ieee.org/document/9427059},
year = {2021},
date = {2021-05-01},
journal = {Ieee Transactions On Engineering Management},
abstract = {People can now monitor and quantify their daily life activities through quantified-self products, such as self-tracking devices. These types of products are invading the market, and the reasons for their adoption must be understood. Word of mouth (WOM) plays a crucial role in the adoption of disruptive innovations. In line with the literature, this article demonstrates that quantified-self products are disruptive innovations that have distinct antecedents explaining why individuals use WOM. Hence, this article examines the need for uniqueness (NFU) and perceived values as drivers of satisfaction that in turn impact WOM. Data from a sample of 496 actual users of self-tracking devices were collected through an online survey. The results emphasize the positive impact of the NFU on satisfaction through utilitarian and hedonic values. We propose theoretical and managerial insights and suggest that companies must adopt a new perspective on disruptive innovations, particularly related to satisfaction and WOM, by considering the variables proposed in the research model.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
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},
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.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Thi Thanh Huong Tran; Nicholas Paparoidamis
Taking a closer look: reasserting the role of self-accountability in ethical consumption Article de journal
Dans: Journal Of Business Research, vol. 126, p. 542-555, 2021.
@article{tran_1076,
title = {Taking a closer look: reasserting the role of self-accountability in ethical consumption},
author = {Thi Thanh Huong Tran and Nicholas Paparoidamis},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0148296319307623},
year = {2021},
date = {2021-03-01},
journal = {Journal Of Business Research},
volume = {126},
pages = {542-555},
abstract = {x},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Erik Ernesto Vazquez
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_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},
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},
year = {2021},
date = {2021-11-01},
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 = {accepted},
tppubtype = {conference}
}
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},
tppubtype = {inproceedings}
}
Thi Thanh Huong Tran; Nicholas Paparoidamis; Maud Van den Broeke
LINKING FLEXIBILITY AND FIRM PERFORMANCE: THE MEDIATING ROLE OF INNOVATION CAPABILITIES Inproceedings
Dans: JPIM Research Forum 2021, Maryland, USA, 2021.
@inproceedings{tran_1562,
title = {LINKING FLEXIBILITY AND FIRM PERFORMANCE: THE MEDIATING ROLE OF INNOVATION CAPABILITIES},
author = {Thi Thanh Huong Tran and Nicholas Paparoidamis and Maud Van den Broeke},
url = {https://www.pdma.org/page/conference-central},
year = {2021},
date = {2021-07-01},
booktitle = {JPIM Research Forum 2021},
address = {Maryland, USA},
abstract = {Flexibility is widely recognized as a valuable competitive tool for firms in today's dynamic and uncertain environment; however, existing research on its impact on firm performance reports mixed and contradictory results, which has prevented scholarly and practical advancement on the topic. Drawing on the resource-based view with a dynamic capability perspective, we develop a conceptual model to investigate the underlying mechanism of the impact of different flexibility dimensions on firm performance. Based on a sample of 200 companies operating in France, we provide empirical evidence that both exploratory and exploitative innovation play a significant and full mediating role in the link between volume and mix flexibility and firm performance whereas only exploratory innovation fully mediates the effect of new product flexibility on firm performance. Our findings contribute to existing theoretical knowledge and offer important managerial implications as well as fruitful future research avenues.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
Louis Zigrand; Pegah Alizadeh; Emiliano Traversi; Roberto Wolfer Calvo
Machine Learning Guided Optimization for Demand Responsive Transport Systems Inproceedings
Dans: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database, Bilbao Spain (online), 2021.
@inproceedings{zigrand_1542,
title = {Machine Learning Guided Optimization for Demand Responsive Transport Systems},
author = {Louis Zigrand and Pegah Alizadeh and Emiliano Traversi and Roberto Wolfer Calvo},
url = {https://2021.ecmlpkdd.org/wp-content/uploads/2021/07/sub_383.pdf},
year = {2021},
date = {2021-06-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database},
address = {Bilbao Spain (online)},
abstract = {Most of the time, objective functions used for solving staticcombinatorial optimization problems cannot deal efficiently with theirreal-time counterparts. It is notably the case of Shared Mobility Systemswhere the dispatching framework must adapt itself dynamically to thedemand. More precisely, in the context of Demand Responsive Transport(DRT) services, various objective functions have been proposed in theliterature to optimize the vehicles routes. However, these objective func-tions are limited in practice because they discard the dynamic evolutionof the demand. To overcome such a limitation, we propose a MachineLearning Guided Optimization methodology to build a new objectivefunction based on simulations and historical data. This way, we are ableto take the demand's dynamic evolution into account. We also presenthow to design the main components of the proposed framework to fit aDRT application: data generation and evaluation, training process andmodel optimization. We show the efficiency of our proposed method-ology on real-world instances, obtained in a collaboration with PadamMobility, an international company developing Shared Mobility Systems.},
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}
}
Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh
Hierarchical Learning of Dependent Concepts for Human Activity Recognition Inproceedings
Dans: K., Karlapalem (Ed.): Pacific-Asia Conference on Knowledge Discovery and Data Mining, p. 79-92, Springer, Cham, Dehli, India, 2021, ISBN: 978-3-030-75764-9.
@inproceedings{osmani_1499,
title = {Hierarchical Learning of Dependent Concepts for Human Activity Recognition},
author = {Aomar Osmani and Massinissa Hamidi and Pegah Alizadeh},
editor = {Karlapalem K. et al.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-75765-6_7},
issn = {978-3-030-75764-9},
year = {2021},
date = {2021-04-01},
booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining},
volume = {12713},
pages = {79-92},
publisher = {Springer, Cham},
address = {Dehli, India},
abstract = {In multi-class classification tasks, like human activity recog-
nition, it is often assumed that classes are separable. In real applications,
this assumption becomes strong and generates inconsistencies. Besides,
the most commonly used approach is to learn classes one-by-one against
the others. This computational simplification principle introduces strong
inductive biases on the learned theories. In fact, the natural connections
among some classes, and not others, deserve to be taken into account.
In this paper, we show that the organization of overlapping classes (mul-
tiple inheritances) into hierarchies considerably improves classification
performances. This is particularly true in the case of activity recognition
tasks featured in the SHL dataset. After theoretically showing the expo-
nential complexity of possible class hierarchies, we propose an approach
based on transfer affinity among the classes to determine an optimal hi-
erarchy for the learning process. Extensive experiments show improved
performances and a reduction in the number of examples needed to learn.},
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}
}
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