Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso. - Hari Prasanna Das; Ioannis C. Konstantakopoulos; Aummul Baneen Manasawala; Tanya Veeravalli; Huihan Liu; Costas J. Spanos (CoRR, 2018)

Consensus Adversarial Domain Adaptation. - Han Zou; Yuxun Zhou; Jianfei Yang; Huihan Liu; Hari Prasanna Das; Costas J. Spanos (AAAI, 2019)

WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition. - Han Zou; Jianfei Yang; Hari Prasanna Das; Huihan Liu; Yuxun Zhou; Costas J. Spanos (CVPR Workshops, 2019)

A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks. - Hari Prasanna Das; Ioannis C. Konstantakopoulos; Aummul Baneen Manasawala; Tanya Veeravalli; Huihan Liu; Costas J. Spanos (ICMLA, 2019)

Dimensionality Reduction Flows. - Hari Prasanna Das; Pieter Abbeel; Costas J. Spanos (CoRR, 2019)

Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure. - Ioannis C. Konstantakopoulos; Hari Prasanna Das; Andrew R. Barkan; Shiying He; Tanya Veeravalli; Huihan Liu; Aummul Baneen Manasawala; Yu-Wen Lin; Costas J. Spanos (CoRR, 2019)

Understanding Distributions of Environmental Parameters for Thermal Comfort Study in Singapore. - Divya Periyakoil; Hari Prasanna Das; Costas J. Spanos (e-Energy, 2020)

Unsupervised personal thermal comfort prediction via adversarial domain adaptation. - Hari Prasanna Das; Stefano Schiavon; Costas J. Spanos (BuildSys, 2021)

CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training. - Hari Prasanna Das; Ryan Tran; Japjot Singh; Yu-Wen Lin; Costas J. Spanos (CoRR, 2021)

Multi-source Few-shot Domain Adaptation. - Xiangyu Yue 001; Zangwei Zheng; Colorado Reed; Hari Prasanna Das; Kurt Keutzer; Alberto L. Sangiovanni-Vincentelli (CoRR, 2021)

Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. - Hari Prasanna Das; Ryan Tran; Japjot Singh; Xiangyu Yue 001; Geoffrey H. Tison; Alberto L. Sangiovanni-Vincentelli; Costas J. Spanos (AAAI, 2022)

Time series-based deep learning model for personal thermal comfort prediction. - Aniruddh Chennapragada; Divya Periyakoil; Hari Prasanna Das; Costas J. Spanos (e-Energy, 2022)

Improved dequantization and normalization methods for tabular data pre-processing in smart buildings. - Hari Prasanna Das; Costas J. Spanos (BuildSys, 2022)

Synthetic personal thermal comfort data generation: poster abstract. - Hari Prasanna Das; Costas J. Spanos (BuildSys, 2022)

Focus on what matters: improved feature selection techniques for personal thermal comfort modelling. - Md Shajalal; Milad Bohlouli; Hari Prasanna Das; Alexander Boden; Gunnar Stevens (BuildSys, 2022)

Conditional Synthetic Data Generation for Personal Thermal Comfort Models. - Hari Prasanna Das; Costas J. Spanos (CoRR, 2022)

Machine Learning for Smart and Energy-Efficient Buildings. - Hari Prasanna Das; Yu-Wen Lin; Utkarsha Agwan; Lucas Spangher; Alex Devonport; Yu Yang 008; Ján Drgona; Adrian Chong; Stefano Schiavon; Costas J. Spanos (CoRR, 2022)

Data-Centric Machine Learning for Human-Centric Applications - Hari Prasanna Das (2023)

Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection. - Md Shajalal; Milad Bohlouli; Hari Prasanna Das; Alexander Boden; Gunnar Stevens (IEEE Access, 2024)