Search Results for author: Kasun Amarasinghe

Found 4 papers, 1 papers with code

Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions

2 code implementations27 Oct 2020 Kasun Amarasinghe, Kit Rodolfa, Hemank Lamba, Rayid Ghani

Explainability is a crucial requirement for effectiveness as well as the adoption of Machine Learning (ML) models supporting decisions in high-stakes public policy areas such as health, criminal justice, education, and employment, While the field of explainable has expanded in recent years, much of this work has not taken real-world needs into account.

Building Energy Load Forecasting using Deep Neural Networks

no code implementations29 Oct 2016 Daniel L. Marino, Kasun Amarasinghe, Milos Manic

Experimental results showed that the standard LSTM failed at one-minute resolution data while performing well in one-hour resolution data.

Decision Making Load Forecasting

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