A method for spark rejection in ultraviolet flame detectors. - Alexandre R. Pauchard; Dragan Manic; Adrian Flanagan; Pierre-André Besse; Rade S. Popovic (IEEE Trans. Ind. Electron., 2000)

Creating Next Generation Applications and Services for Mobile Devices: Challenges and Opportunities. - Agathe Battestini; Christian Del Rosso; Adrian Flanagan; Markus Miettinen (PIMRC, 2007)

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. - Muhammad Ammad-ud-din; Elena Ivannikova; Suleiman A. Khan; Were Oyomno; Qiang Fu; Kuan Eeik Tan; Adrian Flanagan (CoRR, 2019)

A little goes a long way: Improving toxic language classification despite data scarcity. - Mika Juuti; Tommi Gröndahl; Adrian Flanagan; N. Asokan (EMNLP (Findings), 2020)

Federated Multi-view Matrix Factorization for Personalized Recommendations. - Adrian Flanagan; Were Oyomno; Alexander Grigorievskiy; Kuan Eeik Tan; Suleiman A. Khan; Muhammad Ammad-ud-din (ECML/PKDD (2), 2020)

A Payload Optimization Method for Federated Recommender Systems. - Farwa K. Khan; Adrian Flanagan; Kuan Eeik Tan; Zareen Alamgir; Muhammad Ammad-ud-din (RecSys, 2021)

Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. - Alberto Blanco-Justicia; Josep Domingo-Ferrer; Sergio Martínez; David Sánchez 001; Adrian Flanagan; Kuan Eeik Tan (Eng. Appl. Artif. Intell., 2021)

SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task. - Fadi Hassan; Wondimagegnhue Tufa; Guillem Collell; Piek Vossen; Lisa Beinborn; Adrian Flanagan; Kuan Eeik Tan (SemEval@NAACL, 2022)

Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings Using a Joint Loss Function. - Joseph Attieh; Abraham Woubie Zewoudie; Vladimir Vlassov; Adrian Flanagan; Tom Bäckström (ICDAR (5), 2023)