Bert, xlnet or roberta: the best transfer learning model to detect clickbaits P Rajapaksha, R Farahbakhsh, N Crespi IEEE Access 9, 154704-154716, 2021 | 45 | 2021 |
BERT-based ensemble approaches for hate speech detection K Mnassri, P Rajapaksha, R Farahbakhsh, N Crespi GLOBECOM 2022-2022 IEEE Global Communications Conference, 4649-4654, 2022 | 18 | 2022 |
Scrutinizing news media cooperation in facebook and twitter P Rajapaksha, R Farahbakhsh, N Crespi IEEE Access, 2019 | 16 | 2019 |
Hate speech and offensive language detection using an emotion-aware shared encoder K Mnassri, P Rajapaksha, R Farahbakhsh, N Crespi ICC 2023-IEEE International Conference on Communications, 2852-2857, 2023 | 14 | 2023 |
Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning W Shao, R Xiao, P Rajapaksha, M Wang, N Crespi, Z Luo, R Minerva Pattern Recognition 143, 109765, 2023 | 10 | 2023 |
COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model W Shao, P Rajapaksha, Y Wei, D Li, N Crespi, Z Luo Virtual Reality & Intelligent Hardware 5 (1), 24-41, 2023 | 9 | 2023 |
iTrip, a framework to enhance urban mobility by leveraging various data sources P Rajapaksha, R Farahbakhsh, E Nathanail, N Crespi Transportation research procedia 24, 113-122, 2017 | 9 | 2017 |
Inspecting interactions: Online news media synergies in social media P Rajapaksha, R Farahbakhsh, N Crespi, B Defude 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 8 | 2018 |
Identifying content originator in social networks P Rajapaksha, R Farahbakhsh, N Crespi GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 6 | 2017 |
Fine-grained emotions influence on implicit hate speech detection AR Jafari, G Li, P Rajapaksha, R Farahbakhsh, N Crespi IEEE Access, 2023 | 5 | 2023 |
Uncovering flaming events on news media in social media P Rajapaksha, R Farahbakhsh, N Crespi, B Defude 2019 IEEE 38th International Performance Computing and Communications …, 2019 | 5 | 2019 |
Video content delivery enhancement in CDNs based on users' social information P Rajapaksha, R Farahbakhsh, S Mohammadi, MN Dailey, N Crespi 2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016 | 5 | 2016 |
Clickbait detection using multimodel fusion and transfer learning RWVPC Rajapaksha Institut Polytechnique de Paris, 2020 | 3 | 2020 |
Explainable Attention Pruning: A Meta-learning-based Approach P Rajapaksha, N Crespi IEEE Transactions on Artificial Intelligence, 2024 | 2 | 2024 |
Fine-grained emotion knowledge extraction in human values: An interdisciplinary analysis AR Jafari, P Rajapaksha, R Farahbakhsh, G Li, N Crespi The 12th International Conference on Complex Networks and their Applications, 2023 | 2 | 2023 |
Low-latency Dimensional Expansion and Anomaly Detection empowered Secure IoT Network W Shao, Y Wei, P Rajapaksha, D Li, Z Luo, N Crespi IEEE Transactions on Network and Service Management 20 (3), 3865-3879, 2023 | 2 | 2023 |
Film Factory Losses: is BitTorrent a Major Responsible? P Rajapaksha, R Farahbakhsh, N Crespi, R Minerva 2019 Sixth International Conference on Social Networks Analysis, Management …, 2019 | 2 | 2019 |
Image retrieval based on multi-feature fusion for heterogeneous image databases N Chathurani, S Geva, V Chandran, P Rajapaksha International Journal of Computer and Information Engineering 10 (10), 1797-1802, 2016 | 2 | 2016 |
A survey on multi-lingual offensive language detection K Mnassri, R Farahbakhsh, R Chalehchaleh, P Rajapaksha, AR Jafari, ... PeerJ Computer Science 10, e1934, 2024 | 1 | 2024 |
Emotionally-bridged cross-lingual meta-learning for chinese sexism detection G Li, P Rajapaksha, R Farahbakhsh, N Crespi CCF International Conference on Natural Language Processing and Chinese …, 2023 | 1 | 2023 |