Video Content Delivery Enhancement in CDNs Based on Users' Social Information. - Praboda Rajapaksha; Reza Farahbakhsh; Samin Mohammadi; Matthew N. Dailey; Noël Crespi (GLOBECOM Workshops, 2016)

Identifying Content Originator in Social Networks. - Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi (GLOBECOM, 2017)

Inspecting Interactions: Online News Media Synergies in Social Media. - Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi; Bruno Defude (ASONAM, 2018)

Uncovering Flaming Events on News Media in Social Media. - Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi; Bruno Defude (IPCCC, 2019)

Film Factory Losses: is BitTorrent a Major Responsible? - Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi; Roberto Minerva (SNAMS, 2019)

Clickbait detection using multimodel fusion and transfer learning. (Détection de clickbait utilisant fusion multimodale et apprentissage par transfert). - Rajapaksha Waththe Vidanelage Praboda Chathurangani Rajapaksha (2020)

BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits. - Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi (IEEE Access, 2021)

BERT-based Ensemble Approaches for Hate Speech Detection. - Khouloud Mnassri; Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi (GLOBECOM, 2022)

Hate Speech and Offensive Language Detection Using an Emotion-Aware Shared Encoder. - Khouloud Mnassri; Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi (ICC, 2023)

Emotionally-Bridged Cross-Lingual Meta-Learning for Chinese Sexism Detection. - Guanlin Li; Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi (NLPCC (2), 2023)

Summary of the 2nd Workshop on Digital Twins and the Internet of Things at IEEE WF-IoT 2023. - Adam Drobot; Roberto Minerva; Noël Crespi; Lies Benmiloud Bechet; Flavio Bonomi; Richard Heininger; Thomas Ernst Jost; Gyu Myoung Lee; Ernö Kovacs; Nicolas Moreau; Praboda Rajapaksha; Claudio Savaglio; et al. (WF-IoT, 2023)

Fine-Grained Emotions Influence on Implicit Hate Speech Detection. - Amir Reza Jafari; Guanlin Li; Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi (IEEE Access, 2023)

COVAD: Content-Oriented Video Anomaly Detection using a Self-Attention based Deep Learning Model. - Wenhao Shao; Praboda Rajapaksha; Yanyan Wei; Dun Li; Noël Crespi; Zhigang Luo (Virtual Real. Intell. Hardw., 2023)

Low-Latency Dimensional Expansion and Anomaly Detection Empowered Secure IoT Network. - Wenhao Shao; Yanyan Wei; Praboda Rajapaksha; Dun Li; Zhigang Luo; Noël Crespi (IEEE Trans. Netw. Serv. Manag., 2023)

Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning. - Wenhao Shao; Ruliang Xiao; Praboda Rajapaksha; Mengzhu Wang; Noël Crespi; Zhigang Luo; Roberto Minerva (Pattern Recognit., 2023)

Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. - Wenhao Shao; Praboda Rajapaksha; Noël Crespi; Xuechen Zhao; Mengzhu Wang; Nan Yin; Xinwang Liu 002; Zhigang Luo (Neurocomputing, 2024)

A survey on multi-lingual offensive language detection. - Khouloud Mnassri; Reza Farahbakhsh; Razieh Chalehchaleh; Praboda Rajapaksha; Amir Reza Jafari; Guanlin Li; Noël Crespi (PeerJ Comput. Sci., 2024)

Unveiling Human Values: Analyzing Emotions behind Arguments. - Amir Reza Jafari; Praboda Rajapaksha; Reza Farahbakhsh; Guanlin Li; Noël Crespi (Entropy, 2024)

Explainable Attention Pruning: A Metalearning-Based Approach. - Praboda Rajapaksha; Noël Crespi (IEEE Trans. Artif. Intell., 2024)

CCIM-SLR: Incomplete multiview co-clustering by sparse low-rank representation. - Zhenjiao Liu; Zhikui Chen; Kai Lou; Praboda Rajapaksha; Liang Zhao 005; Noël Crespi; Xiaodi Huang (Multim. Tools Appl., 2024)

Scrutinizing News Media Cooperation in Facebook and Twitter. - Praboda Rajapaksha; Reza Farahbakhsh; Noël Crespi (IEEE Access, 2025)