Publications
Book Chapters
- Sandareka Wickramanayake, Sanka Rasnayaka, Madhushika Gamage, Dulani Meedeniya, Indika Perera, “Explainable Artificial Intelligence for Enhanced Living Environments: A Study on User Perspective” in ADCOM Volume 134 - Internet of Things: Architectures for Enhanced Living Environments, Advances in Computer, 2023.
Journal Papers
- Maneesha Gunathilaka, Sandareka Wickramanayake, Dilum Bandara, , “DeFiTrust: A transformer-based framework for scam DeFi token detection using event logs and sentiment analysis” in ESWA, 2024.
- Kim Nguyen, Sanka Rasnayaka, Sandareka Wickramanayake, Dulani Meedeniya, Sanjay Saha, Terence Sim, “Spatio-Temporal Dual-Attention Transformer for Time-Series Behavioral Biometrics”, IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) , 2024.
Conference Papers
- KD Pramod, WT De Silva, WU Thabrew, R Shariffdeen, S Wickramanayake. “BUGSPHP: A dataset for Automated Program Repair in PHP”. In MSE, 2024.
- K Charuka, S Wickramanayake, TD Ambegoda, P Madhushan, D Wijesooriya. “Sign Language Recognition for Low Resource Languages Using Few Shot Learning”, In ICoNIP, 2023.
- PN Deelaka, DY De Silva, S. Wickramanayake, D. Meedeniya, S. Rasnayaka “TEZARNet: TEmporal Zero-Shot Activity Recognition Network”, In ICoNIP, 2023.
- B Karunarathne, V Nanayakkara, E Ranasinghe, M Ranasinghe, S Ahangama, S Wickramanayake, C Hettiarachchi.”Analysis of the factors affecting successful completion of asynchronous online learning programs”. In ECEL, 2023.
- D. Senarath, S. Tharinda, M. Vishvajith, S. Rasnayaka, S. Wickramanayake, D. Meedeniya, “ BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU enhanced Keystroke Dynamics”, In IJCB 2023.
- D. Senarath, S. Tharinda, M. Vishvajith, S. Rasnayaka, S. Wickramanayake, D. Meedeniya, “Re-evaluating Keystroke Dynamics for Continuous Authentication”, In ICARC, 2023.
V. Nanayakkara, B. Karunarathne, M. Ranasinghe, S. Perera., G. Amarasinghe, S. Wickramanayake, S. Ahangama, K. Mahadewa, C. Hettiarachchi and H. Yaggahavita. “open.uom.lk: A Free Online Knowledge Sharing Platform”, In ECEL 2022.
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee, “Explanation-based Data Augmentation for Image Classification,” In NeurIPS, 2021
Paper - Presentation - Code
- Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee, “Comprehensible Convolutional Neural Networks via Guided Concept Learning,” In IJCNN, 2021
Paper - Presentation - Code
- Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee. “Towards Fully Interpretable Deep Neural Networks: Are We There Yet?” In XAI Workshop - ICML, 2021
- Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee, “FLEX: Faithful Linguistic Explanations for Neural Net based Model Decisions”, In AAAI, 2019
- Sandareka Wickramanayake, HMN Dilum Bandara, “Fuel consumption prediction of fleet vehicles using machine learning: A comparative study,” In MERCon 2016
- Sanka Darshana, Dileepa Fernando, Sadari Jayawardena, Sandareka Wickramanayake, Chathura DeSilva, “Efficient PERCLOS and gaze measurement methodologies to estimate driver attention in real time,” In ISMS 2014
- KUGS Darshana, MDY Fernando, SS Jayawadena, SKK Wickramanayake, “Riyadisi—intelligent driver monitoring system,” In ICTer 2013