Publications

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.

Pasadi Hiranya Panawenna, Kasum G Heththihewa, Sandareka Wickramanayake, Dulani Meedeniya, “Explainable AI for Building Trustworthy Transformer-Based Abstractive Summarization Models” in Explainable Artificial Intelligence for Trustworthy Decisions in Smart Applications, Springer Nature, 2025.

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.

Meenambika Chandirakumar, Thanushanth Kanagarajah, Nethurshika Kalanantharasan, Sandareka Wickramanayake, Dulani Meedeniya, “Human Activity Recognition Using Spatio-Temporal Dual Attention with Cross-Sensor Attention”. In IJCNN, 2025.
Chathushka Karunathilaka, Snadareka Wickramanayake. “Empirical Evaluation of Deep Learning Models for Long-Term Solar Power Generation Forecasting”. In ICARC 2025.

Pasadi Hiranya Panawenna, Sandareka Wickramanayake. “Understanding Omitted Facts in Transformer-based Abstractive Summarization”. In MERCon 2024.

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.
Paper- Code
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

Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee, “Comprehensible Convolutional Neural Networks via Guided Concept Learning,” In IJCNN, 2021

(https://www.youtube.com/watch?v=KI7qsGNc9sM&t=1s)

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

J Senevirathna, A Vininda, P Sandaruwan, Ridwan Shariffdeen, Sandareka Wickramanayake, Nisansa De Silva. “FusionRepair: Iterative Multi-Line APR via Fusion”, In 6th International Workshop on Automated Program Repair, ICSE , 2025.
N Lamahewage, N Cooray, R Shariffdeen, S Wickramanayake, ND Silva. “SCHOLIA-An XAI Framework for APR” In 6th International Workshop on Automated Program Repair, ICSE , 2025.
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee. “Towards Fully Interpretable Deep Neural Networks: Are We There Yet?” In Explainable Artificial Intelligence Workshop - ICML, 2021. Paper - [Presentation]

L Akmeemana, C Attanayake, H Faiz, S Wickramanayake, “GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks”. arXiv preprint arXiv:2504.00058, 2025.
Sandareka Wickramanayake, H.M. Bandara, N.A. Samarasekara, “Real-Time Monitoring and Driver Feedback to Promote Fuel Efficient Driving”, arXiv preprint arXiv:2007.02728. 2020.