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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
622021
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
302022
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
252023
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
202023
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
172023
Scrutinizing news media cooperation in facebook and twitter
P Rajapaksha, R Farahbakhsh, N Crespi
IEEE Access, 2019
162019
Fine-grained emotions influence on implicit hate speech detection
AR Jafari, G Li, P Rajapaksha, R Farahbakhsh, N Crespi
IEEE Access, 2023
112023
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
102017
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
92018
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
62019
Identifying content originator in social networks
P Rajapaksha, R Farahbakhsh, N Crespi
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
62017
Traffic Intensity Detection Using General-Purpose Sensing
AK Myat, R Minerva, A Taparugssanagorn, P Rajapaksha, N Crespi
IEEE Sensors Letters, 2023
52023
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
52023
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
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
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
42024
A survey on multi-lingual offensive language detection
K Mnassri, R Farahbakhsh, R Chalehchaleh, P Rajapaksha, AR Jafari, ...
PeerJ Computer Science 10, e1934, 2024
32024
Clickbait detection using multimodel fusion and transfer learning
RWVPC Rajapaksha
Institut Polytechnique de Paris, 2020
32020
Deep Learning for Reducing Redundancy in Madrid’s Traffic Sensor Network
L Ding, P Rajapaksha, R Minerva, N Crespi
2024 IEEE 49th Conference on Local Computer Networks (LCN), 1-9, 2024
22024
Explainable Attention Pruning: A Meta-learning-based Approach
P Rajapaksha, N Crespi
IEEE Transactions on Artificial Intelligence, 2024
22024
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