activity
20202026
most citedBUGSPHP: A dataset for Automated Program Repair in PHP

1 citations · 2 across the 18 of their papers we have counts for

collaborators

20 papers

econ.GN2026

Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues

Hesandi Mallawarachchi, Senilka Madurapperumage, Nadil Kulathunge +6

The Colombo Tea Auction (CTA) plays a vital role in determining global tea prices, yet the relationship between local weather conditions and price behavior across different tea cat…

cs.CR2026

Identity by Design, Demographics by Accident: Demographic Leakage and Suppression in Behavioral Biometric Embeddings

Iyadh Khan, Patrick Nilackshan, Mohamed Aathif +3

Behavioral biometric authentication (BBA) systems use deep learning models to transform biometric signals, such as eye movements, voice, keystroke/touchstroke dynamics, and gait, i…

cs.CL2026

Trilingual Topic Modeling of Sri Lankan Parliamentary Debates

Himath Dhanapala, Haren Daishika, Himandhi Kuruppu +6

Sri Lankan parliamentary debates (Hansards) constitute a trilingual corpus of speeches in Sinhala, Tamil, and English, including code-mixed content, yet remain inaccessible to stan…

econ.GN2026

Monsoon Mayhem to Market Waves: Forecasting Fisheries Resilience in Sri Lanka

Ruzaini Ahmed, Yohan Jayasinghe, Tharumini Gamage +6

Sri Lanka's fisheries sector is important for jobs and food supply. Between 2019 and 2025, it faced several major problems at the same time, and how these events together affected…

cs.LG2026

Environmental Drivers of Respiratory Disease: A District Level Analysis

Rahim Iqbal, Asfi Ahamed, Izzath Nisfer +6

Sri Lanka has experienced a decade of progressive forest degradation and rising atmospheric pollution, yet district-level respiratory admissions have paradoxically declined, pointi…

q-bio.PE2026

How Environment and Urbanization Shape Bird Diversity in Sri Lanka

Dilusha Chandrasiri, Maneesha Herath, Yasith Hewarathna +6

This study presents a comprehensive analysis of bird diversity across Sri Lanka by integrating spatial, temporal, and environmental data. Bird observation records were combined wit…

cs.LG2026

Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka

Sonath Kirindage, Vihanga Nimsara, Sakindu Rajapaksa +6

Timely intensive care dictates survival, yet emergency infrastructure remains unevenly distributed across Sri Lanka. While pre-hospital services have expanded, the transition to de…

cs.CL2026

Fault of Our Stars: Behavioral Drivers of Rating-Sentiment Incongruence

Ramanaish Abaiyan, Ruththiragayan Sutharsan, Kusal Amantha +7

When people share experiences online, they often express thoughts in two ways: a star rating and a written review. In sentiment analysis, ratings are widely used as convenient weak…

cs.LG2026

The Remittance Blueprint: Data-driven Intelligence for Sri Lanka

Dhinanjaya Fernando, Dinura Ginige, Kalana Lakshan +6

This study analyzes Sri Lankan migration and remittances over 32 years (1994-2025). Using a 384-month harmonized dataset, we apply exploratory data analysis, stationarity corrected…

cs.LG2026

TopoCast: A Topological Fidelity Framework for Evaluating Transformer-Based Time Series Forecasting

Sandeepa Weerasekara, Sandareka Wickramanayake

Deep learning-based models have achieved state-of-the-art performance in Time Series Forecasting (TSF), yet their evaluation remains dominated by pointwise error metrics such as Me…

cs.LG2026

When Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated Markets

Ranuga Weerasekara, Heshan Nethmina, Manuja Ranathunga +6

Vegetable prices in Sri Lanka are highly volatile because the market is largely import-isolated, so supply disruptions quickly drive prices up. This study develops a machine learni…

cs.AI2025

SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network

Devin Y. De Silva, Sandareka Wickramanayake, Dulani Meedeniya +1

Human Activity Recognition (HAR), which uses data from Inertial Measurement Unit (IMU) sensors, has many practical applications in healthcare and assisted living environments. Howe…

cs.SE2025

GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks

Lahiru Akmeemana, Chamodya Attanayake, Husni Faiz +1

The transition to microservices has revolutionized software architectures, offering enhanced scalability and modularity. However, the distributed and dynamic nature of microservice…

cs.HC2024

KVC-onGoing: Keystroke Verification Challenge

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +27

This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale p…

cs.CV2024

IEEE BigData 2023 Keystroke Verification Challenge (KVC)

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +26

This paper describes the results of the IEEE BigData 2023 Keystroke Verification Challenge (KVC), that considers the biometric verification performance of Keystroke Dynamics (KD),…

cs.SE2024★ 1 cited

BUGSPHP: A dataset for Automated Program Repair in PHP

K. D. Pramod, W. T. N. De Silva, W. U. K. Thabrew +2

Automated Program Repair (APR) improves developer productivity by saving debugging and bug-fixing time. While APR has been extensively explored for C/C++ and Java programs, there i…

cs.CR2023

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

Dilshan Senerath, Sanuja Tharinda, Maduka Vishwajith +3

Continuous Authentication (CA) using behavioural biometrics is a type of biometric identification that recognizes individuals based on their unique behavioural characteristics, lik…

cs.LG2021★ 1 cited

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

Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee

Despite the remarkable performance, Deep Neural Networks (DNNs) behave as black-boxes hindering user trust in Artificial Intelligence (AI) systems. Research on opening black-box DN…

cs.CV2021

Comprehensible Convolutional Neural Networks via Guided Concept Learning

Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee

Learning concepts that are consistent with human perception is important for Deep Neural Networks to win end-user trust. Post-hoc interpretation methods lack transparency in the fe…

cs.HC2020

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

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

Improving the fuel efficiency of vehicles is imperative to reduce costs and protect the environment. While the efficient engine and vehicle designs, as well as intelligent route pl…