A Survey on Malware Detection with Graph Representation Learning

Autor: Bilot, Tristan, Madhoun, Nour El, Agha, Khaldoun Al, Zouaoui, Anis

Malware detection has become a major concern due to the increasing number and complexity of malware. Traditional detection methods based on signatures and heuristics are used for malware detection, but unfortunately, they suffer from poor generalizat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b9af981106e7d1ab460bc63916a116
https://hal.science/hal-04099618

A review on machine learning approaches and trends in drug discovery.

Autor: Carracedo-Reboredo P; Department of Computer Science and Information Technologies, Faculty of Computer Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain., Liñares-Blanco J; Department of Computer Science and Information Technologies, Faculty of Computer Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain.; CITIC-Research Center of Information and Communication Technologies, Universidade da Coruna, A Coruña 15071, Spain., Rodríguez-Fernández N; CITIC-Research Center of Information and Communication Technologies, Universidade da Coruna, A Coruña 15071, Spain.; Department of Computer Science and Information Technologies, Faculty of Communication Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain., Cedrón F; Department of Computer Science and Information Technologies, Faculty of Computer Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain., Novoa FJ; Department of Computer Science and Information Technologies, Faculty of Computer Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain., Carballal A; Department of Computer Science and Information Technologies, Faculty of Computer Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain.; CITIC-Research Center of Information and Communication Technologies, Universidade da Coruna, A Coruña 15071, Spain.; Department of Computer Science and Information Technologies, Faculty of Communication Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain., Maojo V; Biomedical Informatics Group, Artificial Intelligence Department, Polytechnic University of Madrid, Calle de los Ciruelos, Boadilla del Monte, Madrid 28660, Spain., Pazos A; Department of Computer Science and Information Technologies, Faculty of Computer Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain.; CITIC-Research Center of Information and Communication Technologies, Universidade da Coruna, A Coruña 15071, Spain.; Grupo de Redes de Neuronas Artificiales y Sistemas Adaptativos. Imagen Médica y Diagnóstico Radiológico (RNASA-IMEDIR), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), A Coruña, Spain., Fernandez-Lozano C; Department of Computer Science and Information Technologies, Faculty of Computer Science, Universidade da Coruna, Campus Elviña s/n, A Coruña 15071, Spain.; CITIC-Research Center of Information and Communication Technologies, Universidade da Coruna, A Coruña 15071, Spain.; Grupo de Redes de Neuronas Artificiales y Sistemas Adaptativos. Imagen Médica y Diagnóstico Radiológico (RNASA-IMEDIR), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), A Coruña, Spain.

Publikováno v: Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2021 Aug 12; Vol. 19, pp. 4538-4558. Date of Electronic Publication: 2021 Aug 12 (Print Publication: 2021).