Matthew Amos

According to our database, Matthew Amos authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings.

Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim

IEEE Pervasive Comput., 2025

Brick-by-Brick: Cyber-Physical Building Data Classification Challenge.

Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Matthew Amos, Stephen D. White, Flora D. Salim

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Exploring Capabilities of Time Series Foundation Models in Building Analytics.

Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim

CoRR, 2024

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics.

Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim

CoRR, 2024

A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings.

Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen D. White, Flora D. Salim

CoRR, 2024

SoS: A Semi-Synthetic RoboCup Soccer Dataset for Visual Segmentation.

Ysobel Sims, Trent Houliston, Matthew Amos, Alexander Biddulph, Jonathan Tabac II, Alana Noonan, Angelique Herfel, Joe Bailey, Johanne Montano, Thomas O'Brien

Proceedings of the RoboCup 2024: Robot World Cup XXVII, 2024

Building Timeseries Dataset: Empowering Large-Scale Building Analytics.

Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics.

Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

An Open Optimal Power Flow Model for the Australian National Electricity Market.

Rahmat Heidari, Matthew Amos, Frederik Geth

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2023

2020

Implementation and analysis of dynamic stability for bipedal robotic motion.

Matthew Amos, Richard H. Middleton, Alexander Biddulph, Alexandre Mendes

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020