A choice of relevant association rules based on multi-criteria analysis approach. - Addi Ait-Mlouk; Tarik Agouti; Fatima Gharnati; Badi Derbali (ICTA, 2015)

A comparative study of routing protocols in WSN. - Hanane Aznaoui; Said Raghay; Layla Aziz; Addi Ait-Mlouk (ICTA, 2015)

Multi-agent-based modeling for extracting relevant association rules using a multi-criteria analysis approach. - Addi Ait-Mlouk; Fatima Gharnati; Tarik Agouti (Vietnam. J. Comput. Sci., 2016)

Multi-criteria decisional approach for extracting relevant association rules. - Addi Ait-Mlouk; Fatima Gharnati; Tarik Agouti (Int. J. Comput. Sci. Eng., 2017)

Mining and prioritization of association rules for big data: multi-criteria decision analysis approach. - Addi Ait-Mlouk; Tarik Agouti; Fatima Gharnati (J. Big Data, 2017)

Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks. - Bouchra Marzak; Soufiane El Moumni; Elhabib Benlahmar; Addi Ait-Mlouk; Mohamed Talea (Int. J. Commun. Syst., 2018)

Fouille de données et analyse de qualité des règles d'association dans les bases de données massives : Application dans le domaine de la sécurité routière. (Data mining and quality analysis of association rules in large databases: Application in the field of road safety). - Addi Ait-Mlouk (2018)

Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics. - Xuan-Son Vu; Addi Ait-Mlouk; Erik Elmroth; Lili Jiang 002 (WWW, 2019)

DM-MCDA: A web-based platform for data mining and multiple criteria decision analysis: A case study on road accident. - Addi Ait-Mlouk; Tarik Agouti (SoftwareX, 2019)

A Web-Based Platform for Mining and Ranking Association Rules. - Addi Ait-Mlouk; Lili Jiang 002 (ECIR (2), 2020)

KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data. - Addi Ait-Mlouk; Lili Jiang 002 (IEEE Access, 2020)

Scalable federated machine learning with FEDn. - Morgan Ekmefjord; Addi Ait-Mlouk; Sadi Alawadi; Mattias Åkesson; Desislava Stoyanova; Ola Spjuth; Salman Toor; Andreas Hellander (CoRR, 2021)

Scalable federated machine learning with FEDn. - Morgan Ekmefjord; Addi Ait-Mlouk; Sadi Alawadi; Mattias Åkesson; Prashant Singh; Ola Spjuth; Salman Toor; Andreas Hellander (CCGRID, 2022)

Arabic Named Entity Recognition in Arabic Tweets Using BERT-based Models. - Brahim Ait Benali; Soukaina Mihi; Nabil Laachfoubi; Addi Ait-Mlouk (FNC/MobiSPC/SEIT, 2022)

Big data and Intelligent decision Making: Approaches and Applications. - Bakass Assiya; Tarik Agouti; Jihad Zahir; Addi Ait-Mlouk; Mohammed El Adnani (SITIS, 2022)

FedQAS: Privacy-aware machine reading comprehension with federated learning. - Addi Ait-Mlouk; Sadi Alawadi; Salman Toor; Andreas Hellander (CoRR, 2022)

FedBot: Enhancing Privacy in Chatbots with Federated Learning. - Addi Ait-Mlouk; Sadi Alawadi; Salman Toor; Andreas Hellander (CoRR, 2023)

Toward efficient resource utilization at edge nodes in federated learning. - Sadi Alawadi; Addi Ait-Mlouk; Salman Toor; Andreas Hellander (Prog. Artif. Intell., 2024)

Adaptive Aggregation for Robust Federated Learning Against Label Flipping and Backdoor Attacks. - Chaima Lhasnaoui; Oscar Bergling; Addi Ait-Mlouk; Tarik Agouti (FMEC, 2025)

Investigation on eXtreme Gradient Boosting for cutting force prediction in milling. - Thomas Heitz; Ning He; Addi Ait-Mlouk; Daniel Bachrathy; Ni Chen; Guolong Zhao; Liang Li (J. Intell. Manuf., 2025)