Search Results - "Sèdes, Florence"

Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model by Washha, Mahdi, Qaroush, Aziz, Mezghani, Manel, Sedes, Florence

“…•Collective-based tweets analysis for retraining real-time spam tweet classifier.•Leveraging simple tweet meta-data for providing periodic annotated spam…”
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Dynamic and scalable multi-level trust management model for Social Internet of Things by Abdelghani, Wafa, Amous, Ikram, Zayani, Corinne Amel, Sèdes, Florence, Roman-Jimenez, Geoffrey

“…The Internet of Things (IoT) is a paradigm that has made everyday objects intelligent by offering them the ability to connect to the Internet and communicate…”
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Social collaborative service recommendation approach based on user’s trust and domain-specific expertise by Kalaï, Ahlem, Zayani, Corinne Amel, Amous, Ikram, Abdelghani, Wafa, Sèdes, Florence

“…A few years ago, the Internet of (Web) Service vision came to offer services to all aspects of life and business. The increasing number of Web services make…”
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Real-time prevention of trust-related attacks in social IoT using blockchain and Apache spark by Masmoudi, Mariam, Amous, Ikram, Zayani, Corinne Amel, Sèdes, Florence

“…The Social Internet of Things (Social IoT) introduces a fresh approach to promote the usability of IoT networks and enhance service discovery by incorporating…”
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Trust attack prevention based on Spark-blockchain in social IoT: a survey by Masmoudi, Mariam, Amous, Ikram, Zayani, Corinne Amel, Sèdes, Florence

“…Integrating the Internet of Things (IoT) with Social Networks (SN) has given rise to a new paradigm called Social IoT, which allows users and objects to…”
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Monitoring and analyzing as a service (MAaaS) through cloud edge based on intelligent transportation applications by Souki, Olfa, Djemaa, Raoudha Ben, Amous, Ikram, Sedes, Florence

“…Recent advances in smart connected vehicles and intelligent transportation systems are based on the collection and processing of massive amounts of sensor…”
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An Hybridization of LSTM and Random Forest Model to Predict Road Situation by Souki, Olfa, Djemaa, Raoudha Ben, Amous, Ikram, Sedes, Florence

“…Intelligent transport systems (ITS) play a pivotal role in enhancing safety, efficiency, and sustainability in modern transportation. Deep learning, a subfield…”
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Producing relevant interests from social networks by mining users' tagging behaviour: A first step towards adapting social information by Mezghani, Manel, Péninou, André, Zayani, Corinne Amel, Amous, Ikram, Sèdes, Florence

“…Social media provides an environment of information exchange. They principally rely on their users to create content, to annotate others’ content and to make…”
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Profile reliability to improve recommendation in social-learning context by Zayani, Corinne Amel, Ghorbel, Leila, Amous, Ikram, Mezghanni, Manel, Péninou, André, Sèdes, Florence

“…Purpose Generally, the user requires customized information reflecting his/her current needs and interests that are stored in his/her profile. There are many…”
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Detecting sociosemantic communities by applying social network analysis in tweets by Abascal-Mena, Rocío, Lema, Rose, Sèdes, Florence

“…Virtual social networks have led to a new way of communication that is different from the oral one, where the restriction of time and space generates new…”
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A community-based algorithm for deriving users’ profiles from egocentrics networks: experiment on Facebook and DBLP by Tchuente, Dieudonné, Canut, Marie-Francoise, Jessel, Nadine, Peninou, André, Sèdes, Florence

“…Nowadays, social networks are more and more widely used as a solution for enriching users’ profiles in systems such as recommender systems or personalized…”
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Evaluating Seed Selection for Information Diffusion in Mobile Social Networks by Mezghani, Farouk, Mezghani, Manel, Kaouk, Ahmad, Beylot, Andre-Luc, Sedes, Florence

“…The integration of social networks with mobile communication has led to the rise of a new paradigm, the mobile social network (MSN). Recently, MSN has emerged…”
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A Semantic-Oriented Approach for Organizing and Developing Annotation for E-Learning by Brut, M. M., Sedes, F., Dumitrescu, S. D.

“…This paper presents a solution to extend the IEEE LOM standard with ontology-based semantic annotations for efficient use of learning objects outside Learning…”
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Industrial Requirements Classification for Redundancy and Inconsistency Detection in SEMIOS by Mezghani, Manel, Kang, Juyeon, Sedes, Florence

“…Requirements are usually "hand-written" and suffers from several problems like redundancy and inconsistency. The problems of redundancy and inconsistency…”
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Flexible querying of semistructured data: A fuzzy-set-based approach by De Calmès, Martine, Prade, Henri, Sèdes, Florence

“…This article provides a general discussion about how flexible querying can be applied to semistructured data (SSD). We adapt flexible querying ideas, already…”
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Descriptors generation from very high spatial resolution satellite images by Lopez-Ornelas, Erick, Sèdes, Florence

“…An approach of self-adapting morphological segmentation using new type of images associated to segmentation enables the exploitation of the extracted data, in…”
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DiEvent: Towards an Automated Framework for Analyzing Dining Events by Qodseya, Mahmoud, Washha, Mahdi, Sedes, Florence

“…The analysis of dining events is important and useful for a wide range of applications such as smart restaurants, and for different research areas like…”
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Clustering for Traceability Managing in System Specifications by Mezghani, Manel, Kang, Juyeon, Kang, Eun-Bee, Sedes, Florence

“…System specifications are generally organized according to several documents hierarchies levels linked in order to represent the traceability information…”
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Visual-Based Eye Contact Detection in Multi-Person Interactions by Qodseya, Mahmoud, Panta, Franck, Sedes, Florence

“…Visual non-verbal behavior analysis (VNBA) methods mainly depend on extracting an important and essential social cue, called eye contact, for performing a wide…”
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Improving vehicle re‐identification using CNN latent spaces: Metrics comparison and track‐to‐track extension by Roman‐Jimenez, Geoffrey, Guyot, Patrice, Malon, Thierry, Chambon, Sylvie, Charvillat, Vincent, Crouzil, Alain, Péninou, André, Pinquier, Julien, Sedes, Florence, Sénac, Christine

“…Herein, the problem of vehicle re‐identification using distance comparison of images in CNN latent spaces is addressed. First, the impact of the distance…”
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