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

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

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6 papers · 1 filter

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…

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.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.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…