Adrian Flanagan

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 11

Top Topics

Collaborative Filtering

Nelder Mead Simplex

Future Directions

Personalized Recommendation

Top Venues

Eng. Appl. Artif. Intell.

Publications

Joseph Attieh, Abraham Woubie Zewoudie, Vladimir Vlassov, Adrian Flanagan, Tom Bäckström
Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings Using a Joint Loss Function. ICDAR (5) (2023)
Fadi Hassan, Wondimagegnhue Tufa, Guillem Collell, Piek Vossen, Lisa Beinborn, Adrian Flanagan, Kuan Eeik Tan
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task. SemEval@NAACL (2022)
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. Eng. Appl. Artif. Intell. 106 (2021)
Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
A Payload Optimization Method for Federated Recommender Systems. RecSys (2021)
Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
A Payload Optimization Method for Federated Recommender Systems. CoRR (2021)
Mika Juuti, Tommi Gröndahl, Adrian Flanagan, N. Asokan
A little goes a long way: Improving toxic language classification despite data scarcity. EMNLP (Findings) (2020)
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions. CoRR (2020)
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
Federated Multi-view Matrix Factorization for Personalized Recommendations. ECML/PKDD (2) (2020)
Mika Juuti, Tommi Gröndahl, Adrian Flanagan, N. Asokan
A little goes a long way: Improving toxic language classification despite data scarcity. CoRR (2020)
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
Federated Multi-view Matrix Factorization for Personalized Recommendations. CoRR (2020)
Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. CoRR (2019)
Agathe Battestini, Christian Del Rosso, Adrian Flanagan, Markus Miettinen
Creating Next Generation Applications and Services for Mobile Devices: Challenges and Opportunities. PIMRC (2007)
Alexandre R. Pauchard, Dragan Manic, Adrian Flanagan, Pierre-André Besse, Rade S. Popovic
A method for spark rejection in ultraviolet flame detectors. IEEE Trans. Ind. Electron. 47 (1) (2000)