Matias Quintana | publications

It Is Not Always Greener on the Other Side: Greenery Perception across Demographics and Personalities in Multiple Cities

Matias Quintana, Fangqi Liu, Jussi Torkko, Youlong Gu, Xiucheng Liang, Yujun Hou, Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman, Tuuli Toivonen, Yi Lu, Filip Biljecki

arxiv, 2025

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Global Urban Visual Perception Varies across Demographics and Personalities

Matias Quintana, Youlong Gu, Xiucheng Liang, Yujun Hou, Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman, Filip Biljecki

Nature Cities, 2025

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Make Yourself Comfortable: Nudging Urban Heat and Noise Mitigation with Smartwatch-Based Just-in-time Adaptive Interventions (JITAI)

Clayton Miller, Yun Xuan Chua, Matias Quintana, Binyu Lei, Filip Biljecki, Mario Frei

Building and Environment, 2025

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Designing Effective Image-Based Surveys for Urban Visual Perception

Youlong Gu, Matias Quintana, Xiucheng Liang, Koichi Ito, Winston Yap, Filip Biljecki

Landscape and Urban Planning, 2025

ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery towards Scalable Urban Science

Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman, Xiucheng Liang, Zicheng Fan, Yujun Hou, Tianhong Zhao, Rui Ma, Kunihiko Fujiwara, Jiani Ouyang, Matias Quintana, Filip Biljecki

Computers, Environment and Urban Systems, 2025

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What Is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications

Mahmoud Abdelrahman, Edgardo Macatulad, Binyu Lei, Matias Quintana, Clayton Miller, Filip Biljecki

Building and Environment, 2025

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Recommender Systems and Reinforcement Learning for Human-Building Interaction and Context Aware Support: A Text Mining-Driven Review of Scientific Literature

Wenhao Zhang, Matias Quintana, Clayton Miller

Energy and Buildings, 2025

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How Realistic Are Synthetic Energy Data? Feature-based Evaluation of Generated Smart Meter Load Profiles

Nazar Demir, Talia Qaiser, Ada Canaydin, Chun Fu, Matias Quintana, Clayton Miller, Hussain Kazmi

Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2025

The Cool, Quiet City Machine Learning Competition: Overview and Results

Clayton Miller, M Ibrahim, I S Akbar, Bianca Picchetti, Yun Xuan Chua, Mario Frei, Filip Biljecki, Adrian Chong, Matias Quintana, Chun Fu

Journal of Physics: Conference Series, 2025

Translating Street View Imagery to Correct Perspectives to Enhance Bikeability and Walkability Studies

Koichi Ito, Matias Quintana, Xianjing Han, Roger Zimmermann, Filip Biljecki

International Journal of Geographical Information Science, 2024

Global Streetscapes --- A Comprehensive Dataset of 10 Million Street-Level Images across 688 Cities for Urban Science and Analytics

Yujun Hou, Matias Quintana, Maxim Khomiakov, Winston Yap, Jiani Ouyang, Koichi Ito, Zeyu Wang, Tianhong Zhao, Filip Biljecki

ISPRS Journal of Photogrammetry and Remote Sensing, 2024

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Creating Synthetic Energy Meter Data Using Conditional Diffusion and Building Metadata

Chun Fu, Hussain Kazmi, Matias Quintana, Clayton Miller

Energy and Buildings, 2024

Opening the Black Box: Towards Inherently Interpretable Energy Data Imputation Models Using Building Physics Insight

Antonio Liguori, Matias Quintana, Chun Fu, Clayton Miller, Jérôme Frisch, Christoph van Treeck

Energy and Buildings, 2024

A Data-Driven Agent-Based Model of Occupants' Thermal Comfort Behaviors for the Planning of District-Scale Flexible Work Arrangements

Martín Mosteiro-Romero, Matias Quintana, Rudi Stouffs, Clayton Miller

Building and Environment, 2024

Poster Abstract: My Street Is Better than Your Street: Towards Data-Driven Urban Planning with Visual Perception

Matias Quintana, Youlong Gu, Filip Biljecki

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2024

Enhancing Classification of Energy Meters with Limited Labels Using a Semi-Supervised Generative Model

Chun Fu, Hussain Kazmi, Matias Quintana, Clayton Miller

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023

Filling Time-Series Gaps Using Image Techniques: Multidimensional Context Autoencoder Approach for Building Energy Data Imputation

Chun Fu, Matias Quintana, Zoltan Nagy, Clayton Miller

Applied Thermal Engineering, 2023

The Building Data Genome Directory -- An Open, Comprehensive Data Sharing Platform for Building Performance Research

Xiaoyu Jin, Chun Fu, Hussain Kazmi, Atilla Balint, Ada Canaydin, Matias Quintana, Filip Biljecki, Fu Xiao, Clayton Miller

Journal of Physics: Conference Series, 2023

Opening the Black Box: Towards Inherently Interpretable Energy Data Imputation Models Using Building Physics Insight

Antonio Liguori, Matias Quintana, Chun Fu, Clayton Miller, Jérôme Frisch, Christoph van Treeck

arXiv, 2023

Utilizing Wearable Technology to Characterize and Facilitate Occupant Collaborations in Flexible Workspaces

Kristi Maisha, Mario Frei, Matias Quintana, Yun Xuan Chua, Rishee Jain, Clayton Miller

Journal of Physics: Conference Series, 2023

Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics

Clayton Miller, Matias Quintana, Mario Frei, Yun Xuan Chua, Chun Fu, Bianca Picchetti, Winston Yap, Adrian Chong, Filip Biljecki

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023

From Personal Comfort to District Performance: Using Smartwatch and WiFi Data for Occupant-Driven Operation

Martín Mosteiro-Romero, Matias Quintana, Clayton Miller, Rudi Stouffs

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023

Leveraging Campus-Scale Wi-Fi Data for Activity-Based Occupant Modeling in Urban Energy Applications

Martín Mosteiro-Romero, Clayton Miller, Matias Quintana, Adrian Chong, Rudi Stouffs

Journal of Physics: Conference Series, 2023

Ten Questions Concerning Reinforcement Learning for Building Energy Management

Zoltan Nagy, Gregor Henze, Sourav Dey, Javier Arroyo, Lieve Helsen, Xiangyu Zhang, Bingqing Chen, Kadir Amasyali, Kuldeep Kurte, Ahmed Zamzam, Helia Zandi, Ján Drgoňa, Matias Quintana, Steven McCullogh, June Young Park, Han Li, Tianzhen Hong, Silvio Brandi, Giuseppe Pinto, Alfonso Capozzoli, Draguna Vrabie, Mario Bergés, Kingsley Nweye, Thibault Marzullo, Andrey Bernstein

Building and Environment, 2023

Green Mark Certified Buildings Metadata from Singapore

Yi Ting Teo, Matias Quintana, Muhammad Zikry Bin Sabarudin, Charlene Tan, Adrian Chong, Clayton Miller

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

From Model-Centric to Data-Centric: A Practical MPC Implementation Framework for Buildings

Sicheng Zhan, Matias Quintana, Clayton Miller, Adrian Chong

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2022

ALDI++: Automatic and Parameter-Less Discord and Outlier Detection for Building Energy Load Profiles

Matias Quintana, Till Stoeckmann, June Young Park, Marian Turowski, Veit Hagenmeyer, Clayton Miller

Energy and Buildings, 2022

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ComfortLearn: Enabling Agent-Based Occupant-Centric Building Controls

Matias Quintana, Zoltan Nagy, Federico Tartarini, Stefano Schiavon, Clayton Miller

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2022

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Cohort Comfort Models --- Using Occupant's Similarity to Predict Personal Thermal Preference with Less Data

Matias Quintana, Stefano Schiavon, Federico Tartarini, Joyce Kim, Clayton Miller

Building and Environment, 2022

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Personal Comfort Models Based on a 6-month Experiment Using Environmental Parameters and Data from Wearables

Federico Tartarini, Stefano Schiavon, Matias Quintana, Clayton Miller

Indoor Air-international Journal of Indoor Air Quality and Climate, 2022

Dataset: Longitudinal Personal Thermal Comfort Preference Data in the Wild

Matias Quintana, Mahmoud Abdelrahman, Mario Frei, Federico Tartarini, Clayton Miller

Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021

The Internet-of-Buildings (IoB) --- Digital Twin Convergence of Wearable and IoT Data with GIS/BIM

Clayton Miller, Mahmoud Abdelrahman, Adrian Chong, Filip Biljecki, Matias Quintana, Mario Frei, Michael Chew, Daniel Wong

Journal of Physics: Conference Series, 2021

Islands of Misfit Buildings: Detecting Uncharacteristic Electricity Use Behavior Using Load Shape Clustering

Matias Quintana, Pandarasamy Arjunan, Clayton Miller

Building Simulation, 2021

Humans-as-a-Sensor for Buildings---Intensive Longitudinal Indoor Comfort Models

Prageeth Jayathissa, Matias Quintana, Mahmoud Abdelrahman, Clayton Miller

Buildings, 2020

Balancing Thermal Comfort Datasets: We GAN, but Should We?

Matias Quintana, Stefano Schiavon, Kwok Wai Tham, Clayton Miller

Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2020

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Towards Class-Balancing Human Comfort Datasets with Gans

Matias Quintana, Clayton Miller

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2019

Is Your Clock-Face Cozie? A Smartwatch Methodology for the in-Situ Collection of Occupant Comfort Data

Prageeth Jayathissa, Matias Quintana, Tapeesh Sood, Negin Nazarian, Clayton Miller

Journal of Physics: Conference Series, 2019