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Praboda Rajapaksha
Praboda Rajapaksha
Lecturer in Health Data Science, Aberystwyth University & Data Scientist, Hywel Dda Health Board, UK
Verified email at aber.ac.uk
Title
Cited by
Cited by
Year
Bert, xlnet or roberta: the best transfer learning model to detect clickbaits
P Rajapaksha, R Farahbakhsh, N Crespi
IEEE Access 9, 154704-154716, 2021
372021
Scrutinizing news media cooperation in facebook and twitter
P Rajapaksha, R Farahbakhsh, N Crespi
IEEE Access, 2019
162019
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
122022
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
102023
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
92017
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
82018
Identifying content originator in social networks
P Rajapaksha, R Farahbakhsh, N Crespi
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
62017
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
52019
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
52016
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
22023
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
22023
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
22023
Clickbait detection using multimodel fusion and transfer learning
RWVPC Rajapaksha
Institut polytechnique de Paris, 2020
22020
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
22016
Fine-grained emotions influence on implicit hate speech detection
AR Jafari, G Li, P Rajapaksha, R Farahbakhsh, N Crespi
IEEE Access, 2023
12023
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
12019
Explainable Attention Pruning: A Meta-learning-based Approach
P Rajapaksha, N Crespi
IEEE Transactions on Artificial Intelligence, 2024
2024
CCIM-SLR: Incomplete multiview co-clustering by sparse low-rank representation
Z Liu, Z Chen, K Lou, P Rajapaksha, L Zhao, N Crespi, X Huang
Multimedia Tools and Applications, 1-31, 2024
2024
Traffic Flow Prediction in Sensor-Limited Areas through Synthetic Sensing and Data Fusion
M Alvi, R Minerva, P Rajapaksha, N Crespi, U Alvi
IEEE Sensors Letters, 2024
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
2023
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