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- Karine Zeitouni
Versailles Saint-Quentin-en-Yvelines University, France
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Publication search results
found 126 matches
- 2024
- Rahma Hellali, Zaineb Chelly Dagdia, Ahmed Ktaish, Karine Zeitouni, Djillali Annane:
Corticosteroid sensitivity detection in sepsis patients using a personalized data mining approach: A clinical investigation. Comput. Methods Programs Biomed. 245: 108017 (2024) - Mohammad Abboud, Yehia Taher, Karine Zeitouni, Ana-Maria Olteanu-Raimond:
How opportunistic mobile monitoring can enhance air quality assessment? GeoInformatica 28(4): 679-710 (2024) - Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher, Basile Chaix, Limin Wang:
Learning the micro-environment from rich trajectories in the context of mobile crowd sensing. GeoInformatica 28(2): 177-220 (2024) - Saloua Bouabba, Karine Zeitouni, Bassem Haidar, Nazim Agoulmine, Zaineb Chelly Dagdia:
Federated TimeGAN for Privacy Preserving Synthetic Trajectory Generation. MDM 2024: 301-306 - 2023
- Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez:
Graph convolutional networks for traffic forecasting with missing values. Data Min. Knowl. Discov. 37(2): 913-947 (2023) - Li Zhang, Laurent Yeh, Huai Su, Karine Zeitouni, Zhiheng Zuo, Miao Li, Luxin Jiang, Lin Fan, Jinjun Zhang:
Recognition of oil & gas pipelines operational states using graph network structural features. Eng. Appl. Artif. Intell. 120: 105884 (2023) - Baudouin Naline, Sandra Garcia-Rodriguez, Karine Zeitouni:
STREAMER 3.0: Towards Online Monitoring and Distributed Learning. CIKM 2023: 5076-5080 - Mohammad Abboud, Karine Zeitouni, Yehia Taher:
Enriching fixed stations air pollution monitoring with opportunistic mobile monitoring. EDBT/ICDT Workshops 2023 - Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni:
Clustering Corticosteroids Responsiveness in Sepsis Patients using Game-Theoretic Rough Sets. FedCSIS 2023: 545-556 - Baudouin Naline, Nicolas Ravot, Wafa Ben Hassen, Sandra García-Rodríguez, Karine Zeitouni:
Towards a Federated Learning Approach for Branched Wired Networks Prognosis. ICCAD 2023: 1-6 - 2022
- Lívia Almada Cruz, Ticiana Linhares Coelho da Silva, Regis Pires Magalhães, Wilken Charles Dantas Melo, Matheus G. Cordeiro, José Antônio Fernandes de Macêdo, Karine Zeitouni:
Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches. Sensors 22(19): 7475 (2022) - Mohammad Abboud, Karine Zeitouni, Yehia Taher:
Fine-grained location prediction of non geo-tagged tweets: a multi-view learning approach. GeoAI@SIGSPATIAL 2022: 82-91 - Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez:
Graph Convolutional Networks for Traffic Forecasting with Missing Values. CoRR abs/2212.06419 (2022) - 2021
- Lívia Almada Cruz, Karine Zeitouni, Ticiana Linhares Coelho da Silva, José Antônio Fernandes de Macêdo, José Soares da Silva:
Location prediction: a deep spatiotemporal learning from external sensors data. Distributed Parallel Databases 39(1): 259-280 (2021) - Alexandros Kontarinis, Karine Zeitouni, Claudia Marinica, Dan Vodislav, Dimitris Kotzinos:
Towards a semantic indoor trajectory model: application to museum visits. GeoInformatica 25(2): 311-352 (2021) - Iulian Sandu Popa, Dai Hai Ton That, Karine Zeitouni, Cristian Borcea:
Mobile participatory sensing with strong privacy guarantees using secure probes. GeoInformatica 25(3): 533-580 (2021) - Lamia Karim, Azedine Boulmakoul, Karine Zeitouni:
From Raw Pedestrian Trajectories to Semantic Graph Structured Model - Towards an end-to-end spatiotemporal analytics framework. ANT/EDI40 2021: 60-67 - Hafsa El Hafyani, Karine Zeitouni, Yehia Taher, Laurent Yeh, Ahmad Ktaish:
Un Modèle de Trajectoire Multidimensionnel dans le Contexte de la Collecte Participative par Micro-Capteurs. EDA 2021: 1-14 - Mohammad Abboud, Hafsa El Hafyani, Jingwei Zuo, Karine Zeitouni, Yehia Taher:
Micro-environment Recognition in the context of Environmental Crowdsensing. EDBT/ICDT Workshops 2021 - Zaineb Chelly Dagdia, Chiara Renso, Karine Zeitouni, Nazim Agoulmine:
Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data. FRAME@HPDC 2021: 17-20 - Jingwei Zuo, Karine Zeitouni, Yehia Taher:
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. ICDM 2021: 1565-1570 - Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher:
Tell Me What Air You Breath, I Tell You Where You Are. SSTD 2021: 161-165 - Jingwei Zuo, Karine Zeitouni, Yehia Taher:
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. CoRR abs/2110.00578 (2021) - 2020
- Sabeur Aridhi, José A. F. de Macêdo, Engelbert Mephu Nguifo, Karine Zeitouni:
Special issue on "Advances on Large Evolving Graphs". Future Gener. Comput. Syst. 110: 310 (2020) - Mariem Brahem, Karine Zeitouni, Laurent Yeh:
ASTROIDE: A Unified Astronomical Big Data Processing Engine over Spark. IEEE Trans. Big Data 6(3): 477-491 (2020) - Ticiana L. Coelho da Silva, Francesco Lettich, José Antônio Fernandes de Macêdo, Karine Zeitouni, Marco A. Casanova:
Online Clustering of Trajectories in Road Networks. MDM 2020: 99-108 - Marie-Rita Hojeij, Yehia Taher, Karine Zeitouni, Béatrice Finance, Rafiqul Haque, Mohammed Dbouk:
Proceedings of the 2nd International Conference on Big Data and Cyber-Security Intelligence, Versailles, France, December 16-17, 2019. CEUR Workshop Proceedings 2622, CEUR-WS.org 2020 [contents] - Alexandra Poulovassilis, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf, Nikos Pelekis, Chiara Renso, Yannis Theodoridis, Karine Zeitouni, Tania Cerquitelli, Silvia Chiusano, Genoveva Vargas-Solar, Behrooz Omidvar-Tehrani, Katharina Morik, Jean-Michel Renders, Donatella Firmani, Letizia Tanca, Davide Mottin, Matteo Lissandrini, Yannis Velegrakis:
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark, March 30, 2020. CEUR Workshop Proceedings 2578, CEUR-WS.org 2020 [contents] - Abdelkader Hameurlain, A Min Tjoa, Philippe Lamarre, Karine Zeitouni:
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV - Special Issue on Data Management - Principles, Technologies, and Applications. Lecture Notes in Computer Science 12380, Springer 2020, ISBN 978-3-662-62270-4 [contents] - 2019
- Jingwei Zuo, Karine Zeitouni, Yehia Taher:
Incremental and Adaptive Feature Exploration over Time Series Stream. IEEE BigData 2019: 593-602
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