Sandareka Wickramanayake

According to our database, Sandareka Wickramanayake authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DeFiTrust: A transformer-based framework for scam DeFi token detection using event logs and sentiment analysis.

Maneesha Gunathilaka, Sandareka Wickramanayake, H. M. N. Dilum Bandara

Expert Syst. Appl., 2024

Chapter One - Explainable artificial intelligence for enhanced living environments: A study on user perspective.

Sandareka Wickramanayake, Sanka Rasnayaka, Madushika Gamage, Dulani Meedeniya, Indika Perera

Adv. Comput., 2024

BugsPHP: A dataset for Automated Program Repair in PHP.

K. D. Pramod, W. T. N. De Silva, W. U. K. Thabrew, Ridwan Shariffdeen, Sandareka Wickramanayake

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU enhanced Keystroke Dynamics.

Dilshan Senerath, Sanuja Tharinda, Maduka Vishwajith, Sanka Rasnayaka, Sandareka Wickramanayake, Dulani Meedeniya

CoRR, 2023

TEZARNet: TEmporal Zero-Shot Activity Recognition Network.

Pathirage N. Deelaka, Devin Y. De Silva, Sandareka Wickramanayake, Dulani Meedeniya, Sanka Rasnayaka

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Sign Language Recognition for Low Resource Languages Using Few Shot Learning.

Kaveesh Charuka, Sandareka Wickramanayake, Thanuja D. Ambegoda, Pasan Madhushan, Dineth Wijesooriya

Proceedings of the Neural Information Processing - 30th International Conference, 2023

BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU-enhanced Keystroke Dynamics.

Dilshan Senarath, Sanuja Tharinda, Maduka Vishvajith, Sanka Rasnayaka, Sandareka Wickramanayake, Dulani Meedeniya

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

IEEE BigData 2023 Keystroke Verification Challenge (KVC).

Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia, Nahuel González, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Großmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Towards Fully Interpretable Deep Neural Networks: Are We There Yet?

Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee

CoRR, 2021

Learning Semantically Meaningful Features for Interpretable Classifications.

Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee

CoRR, 2021

Explanation-based Data Augmentation for Image Classification.

Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Comprehensible Convolutional Neural Networks via Guided Concept Learning.

Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Real-Time Monitoring and Driver Feedback to Promote Fuel Efficient Driving.

Sandareka Wickramanayake, H. M. N. Dilum Bandara, Nishal A. Samarasekara

CoRR, 2020

2019

FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions.

Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2016

Poster: Enhancing Fuel Economy of Fleet Vehicles Through Real-Time Driver Monitoring and Feedback.

Sandareka Wickramanayake, H. M. N. Dilum Bandara

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016