Enhancing Cyber Threat Identification in Open-Source Intelligence Feeds Through an Improved Semi-Supervised Generative Adversarial Learning Approach With Contrastive Learning

Autor: Othmane Cherqi, Youness Moukafih, Mounir Ghogho, Houda Benbrahim

Publikováno v: IEEE Access, Vol 11, Pp 84440-84452 (2023)

Responding to the challenge of efficiently leveraging Open-source Threat Intelligence Feeds (OTIFs) to enhance organizational security, this paper presents an innovative approach to automated threat identification using machine learning. Current mach

Externí odkaz: https://doaj.org/article/139a3a69e4dc484f87a5c42e3963c64c

SimSCL: A Simple Fully-Supervised Contrastive Learning Framework for Text Representation

Autor: Youness Moukafih, Abdelghani Ghanem, Karima Abidi, Nada Sbihi, Mounir Ghogho, Kamel Smaili

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030975456

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d310dcfe095488d323ae9fa5dfa79413
https://doi.org/10.1007/978-3-030-97546-3_59

Real-Time Infoveillance of Moroccan Social Media Users’ Sentiments towards the COVID-19 Pandemic and Its Management

Autor: Chaimae Asaad, Bassma Guermah, Mounir Ghogho, Hakim Hafidi, Abdelghani Ghanem, Mehdi Zakroum, Nada Sbihi, Karim Baïna, Youness Moukafih, Mariam Cherqaoui, Meriem Dairi

Publikováno v: International Journal of Environmental Research and Public Health
Volume 18
Issue 22
International Journal of Environmental Research and Public Health, Vol 18, Iss 12172, p 12172 (2021)

The impact of COVID-19 on socio-economic fronts, public health related aspects and human interactions is undeniable. Amidst the social distancing protocols and the stay-at-home regulations imposed in several countries, citizens took to social media t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c2fe867f4117cf970c26e9bd200ab6

Aggressive Driving Detection Using Deep Learning-based Time Series Classification

Autor: Mounir Ghogho, Hakim Hafidi, Youness Moukafih

Publikováno v: INISTA

Driver aggressiveness is a major cause of traffic accidents. Aggressive driving detection is an important application in the field of intelligent transportation systems (ITS). Developing systems capable of automatically detecting aggressive driving b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1f4fc47892a7944beeb8f92ab5e8ba03
https://doi.org/10.1109/inista.2019.8778416