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11/27/2022
Machine Learning for Smart and Energy-Efficient Buildings
Energy consumption in buildings, both residential and commercial, accoun...
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03/10/2022
Conditional Synthetic Data Generation for Personal Thermal Comfort Models
Personal thermal comfort models aim to predict an individual's thermal c...
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09/25/2021
Multi-source Few-shot Domain Adaptation
Multi-source Domain Adaptation (MDA) aims to transfer predictive models ...
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09/14/2021
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
Background: At the onset of a pandemic, such as COVID-19, data with prop...
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08/25/2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
How to generate conditional synthetic data for a domain without utilizin...
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10/16/2019
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure
In this paper, we propose a gamification approach as a novel framework f...
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10/05/2019
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks
Energy game-theoretic frameworks have emerged to be a successful strateg...
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08/05/2019
Dimensionality Reduction Flows
Deep generative modelling using flows has gained popularity owing to the...
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10/24/2018
