A Graph Based Framework for Clustering and Characterization of SOM. - Rakia Jaziri; Khalid Benabdeslem; Haytham Elghazel (ICANN (3), 2010)

Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani; Jean-Hugues Chenot (EGC, 2011)

SOS-HMM: Self-Organizing Structure of Hidden Markov Model. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani; Jean-Hugues Chenot (ICANN (2), 2011)

Probabilistic Self-Organizing Maps for multivariate sequences. - Rakia Jaziri; Mustapha Lebbah; Nicoleta Rogovschi; Younès Bennani (IJCNN, 2011)

Classification probabiliste non supervisée et visualisation des données séquentielles. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani (EGC, 2012)

Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data. - Mustapha Lebbah; Rakia Jaziri; Younès Bennani; Jean-Hugues Chenot (Int. J. Comput. Intell. Appl., 2015)

GTM Mixture through time for sequential data. - Rakia Jaziri; Faicel Chamroukhi; Mustapha Lebbah; Younès Bennani (IJCNN, 2016)

NFB: protocole de Notarisation des Documents dans la Blockchain. - Haikel Magrahi; Nouha Omrane; Rakia Jaziri (EGC, 2018)

NFB: A Protocol for Notarizing Files over the Blockchain. - Haikel Magrahi; Nouha Omrane; Olivier Senot; Rakia Jaziri (NTMS, 2018)

Deep Extremely Randomized Trees. - Abdelkader Berrouachedi; Rakia Jaziri; Gilles Bernard (ICONIP (1), 2019)

Deep Cascade of Extra Trees. - Abdelkader Berrouachedi; Rakia Jaziri; Gilles Bernard (PAKDD (Workshops), 2019)

Deep Extra-Trees, une forêt aléatoire profonde. - Abdelkader Berrouachedi; Rakia Jaziri; Gilles Bernard (EGC, 2020)

Hybrid approach for Anomaly Detection in Time Series Data. - Zeineb Ghrib; Rakia Jaziri; Rim Romdhane (IJCNN, 2020)

SpeedChain: A framework for Monitoring and Alerting blockchain projects. - Mouad Fakhri; Baptiste Zegre; Nouha Omrane; Rakia Jaziri (NTMS, 2021)

Convolutional, Extra-Trees and Multi layer Perceptron. - Abdelkader Berrouachedi; Rakia Jaziri; Gilles Bernard (AICCSA, 2022)

Détection d'anomalies en temps réel dans le flux vidéo. - Fabien Poirier; Rakia Jaziri; Camille Srour; Gilles Bernard (EGC, 2022)

Innovative Routing Solutions: Centralized Hypercube Routing Among Multiple Clusters in 5G Networks. - Abdulbast A. Abushgra; Hisham A. Kholidy; Abdelkader Berrouachedi; Rakia Jaziri (AICCSA, 2023)

A New Time-Aware LSTM based Framework for Multi-label Classification on Healthcare Data. - Abdelhamid Gaddari; Haytham Elghazel; Rakia Jaziri; Mohand-Said Hacid; Pierre-Henri Comble (AICCSA, 2023)

Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification. - Hisham A. Kholidy; Abdelkader Berrouachedi; Elhadj Benkhelifa; Rakia Jaziri (AICCSA, 2023)

Secure the 5G and Beyond Networks with Zero Trust and Access Control Systems for Cloud Native Architectures. - Hisham A. Kholidy; Keven Disen; Andrew Karam; Elhadj Benkhelifa; Mohammad Ashiqur Rahman; Atta-ur-Rahman 001; Ibrahim Almazyad; Ahmed F. Sayed; Rakia Jaziri (AICCSA, 2023)

Enhancing Anomaly Detection in Videos using a Combined YOLO and a VGG GRU Approach. - Fabien Poirier; Rakia Jaziri; Camille Srour; Gilles Bernard (AICCSA, 2023)

Classification multi-label de données médicales par LSTM temporel et clustering flou. - Abdelhamid Gaddari; Haytham Elghazel; Rakia Jaziri; Mohand-Saïd Hacid; Pierre-Henri Comble (EGC, 2023)

Enhancing Multi-Label Classification Through Deep Extra-Trees and Transformation Techniques. - Abdelkader Berrouachedi; Rakia Jaziri; Gilles Bernard (AICCSA, 2024)