Refereed Publications

• Amila Silva, Ling Luo, Shanika Karunasekera and Christopher Leckie, Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels, Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

• Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera and Christopher Leckie, Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection, Proceedings of the Information Processing & Management, 2022

• Amila Silva, Ling Luo, Shanika Karunasekera and Christopher Leckie, Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data, Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

• Amila Silva, Shanika Karunasekera, Christopher Leckie and Ling Luo, METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams, Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)

• Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera and Christopher Leckie, Embedding Partial Propagation Network for Fake News Early Detection, Proceedings of the International workshop on Mining Actionable Insights from Social Networks (MAISoN 2020) - Special Edition on Dis/Misinformation Mining from Social Media (co-located with CIKM 2020)

• Amila Silva, Pei-Chi Lo and Ee-Peng Lim, On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation, Proceeding of the International AAAI Conference on Web and Social Media (ICWSM 2021)

• Amila Silva, Ling Luo, Shanika Karunasekera and Christopher Leckie, OMBA: User-Guided Product Representations for Online Market Basket Analysis, Proceedings of the 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)

• Amila Silva, Pei-Chi Lo and Ee-Peng Lim, JPLink: On Linking Jobs to Vocational Interest Types, Proceeding of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020)

• Philips Kokoh Prasetyo, Amila Silva, Ee-Peng Lim and Palakorn Achananuparp, Finding Datasets in Publications: The Singapore Management University Approach, Book chapter in Rich Search and Discovery for Research Datasets, Edited by Julia Lane, Ian Mulvany, Paco Nathan. 2020

• Amila Silva, Shanika Karunasekera, Christopher Leckie and Ling Luo, USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity, Proceedings of the 2019 IEEE International Conference on BigData (IEEE-BigData 2019)

• Aaron Harwood, Shanika Karunasekera, Michelle Vanni, Lucia Falzon, Prarthana Padia and Amila Silva, Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions, Proceedings of the 2019 IEEE International Conference on BigData (IEEE-BigData 2019)

• Amila Silva and Chathurika Amarathunga, On Learning Word Embeddings From Linguistically Augmented Text Corpora, Proceedings of the 13th International Conference on Computational Semantics (IWCS 2019)

• Peter Phandi, Amila Silva, and Wei Lu, SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP), Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval 2018)

Thesis

• Amila Silva, Chathurika Amarathunga, Didula Dissanayake and Namasivayam Piranavaruban, Light Field System for Image Based Rendering of Ancient Artifacts, University of Moratuwa, Sri Lanka, April 2017