Monitoring multidimensional aspects of quality of life after cancer immunotherapy: protocol for the international multicentre, observational QUALITOP cohort study

Autor: Geertruida H De Bock, Delphine Maucort-Boulch, Clémence Leyrat, Amélie Anota, Stephane Dalle, Susana Puig, Marie Préau, Mohammad S Jalali, Marie-Jose Kersten, Martijn GH van Oijen, Mathieu Fauvernier, Petra C. Vinke, Marc Combalia, Anne Mea Spanjaart, Maria Gomes da Silva, Aurore Fouda Essongue, Aurélie Rabier, Myriam Pannard, Amal Elgammal, Mike Papazoglou, Mohand-Said Hacid, Catherine Rioufol, Erick Suazo-Zepeda, Ananya Malhotra, Emmanuel Coquery, Elsa Coz

Publikováno v: BMJ Open, Vol 13, Iss 4 (2023)

Introduction Immunotherapies, such as immune checkpoint inhibitors and chimeric antigen receptor T-cell therapy, have significantly improved the clinical outcomes of various malignancies. However, they also cause immune-related adverse events (irAEs)

Externí odkaz: https://doaj.org/article/f0459fb57ecf4fbf88aa688bc3bf3ad3

The Lannion report on Big Data and Security Monitoring Research

Autor: Laurent d'Orazio, Jalil Boukhobza, Omer Rana, Juba Agoun, Le Gruenwald, Herve Rannou, Elisa Bertino, Mohand-Said Hacid, Taofik Saidi, Georges Bossert, Van Long Nguyen Huu, Dimitri Tombroff, Makoto Onizuka

Publikováno v: 2022 IEEE International Conference on Big Data (Big Data)
Workshop on Big Data for CyberSecurity (BigCyber-2022)
Workshop on Big Data for CyberSecurity (BigCyber-2022), Dec 2022, Osaka, Japan. pp.2960-2969, ⟨10.1109/BigData55660.2022.10020852⟩

International audience; During the last decade, big data management has attracted increasing interest from both the industrial and academic communities. In parallel, Cyber Security has become mandatory due to various and more intensive threats. In Ju

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdd1902fbd51460e8fdb9db231e5159c
https://doi.org/10.1109/bigdata55660.2022.10020852

Localized Feature Ranking approach for Multi-Target Regression

Autor: Hugo Bertrand, Haytham Elghazel, Sahar Masmoudi, Emmanuel Coquery, Mohand-Said Hacid

Publikováno v: 2022 International Joint Conference on Neural Networks (IJCNN).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b5299a2ebd7d253fe6cfb6cb3885df9
https://doi.org/10.1109/ijcnn55064.2022.9891892

Handling Conflicts in Depth-First Search for LTL Tableau to Debug Compliance Based Languages

Autor: Francois Hantry, Mohand-Said Hacid

Publikováno v: Electronic Proceedings in Theoretical Computer Science, Vol 68, Iss Proc. FLACOS 2011, Pp 39-53 (2011)

Providing adequate tools to tackle the problem of inconsistent compliance rules is a critical research topic. This problem is of paramount importance to achieve automatic support for early declarative design and to support evolution of rules in contr

Externí odkaz: https://doaj.org/article/1f5847a1c3884661b765a25f46effc42

Toward Improving b-Coloring Based Clustering Using a Greedy re-Coloring Algorithm

Autor: Tetsuya Yoshida, A. Dussauchoy, Véronique Deslandres, Haytham Elghazel, Mohand-Said Hacid

Publikováno v: Greedy Algorithms

In our current approach we employ a greedy strategy tackle the re-coloring problem defined in Section 4.1. The major reasons for utilizing a greedy strategy is, as in other many approaches based on some greedy algorithms, we believe that it is useful

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7427b601ccd5567657a7e9ff4ebc5218
http://www.intechopen.com/articles/show/title/toward_improving_b-coloring_based_clustering_using_a_greedy_re-coloring_algorithm