Aidan Acquah

According to our database, Aidan Acquah authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

The Denario project: Deep knowledge AI agents for scientific discovery.

Francisco Villaescusa-Navarro, Boris Bolliet, Pablo Villanueva-Domingo, Adrian E. Bayer, Aidan Acquah, Chetana Amancharla, Almog Barzilay-Siegal, Pablo Bermejo, Camille L. Bilodeau, Pablo Cárdenas Ramírez, Miles D. Cranmer, Urbano França, ChangHoon Hahn, Yan-Fei Jiang, Raúl Jiménez, Jun-Young Lee, Antonio Lerario, Osman Mamun, Thomas Meier, Anupam A. Ojha, Pavlos Protopapas, Shimanto Roy, David N. Spergel, Pedro Tarancón-Álvarez, Ujjwal Tiwari, Matteo Viel, Digvijay Wadekar, Chi Wang, Bonny Y. Wang, Licong Xu, Yossi Yovel, Shuwen Yue, Wen-Han Zhou, Qiyao Zhu, Jiajun Zou, Íñigo Zubeldia

CoRR, October, 2025

ActiNet: Activity intensity classification of wrist-worn accelerometers using self-supervised deep learning.

Aidan Acquah, Shing Chan, Aiden R. Doherty

CoRR, October, 2025

Characterising Parkinson's Disease-like Walking Using Wrist-worn Accelerometers.

Aidan Acquah, Valentin Hamy, David A. Clifton, Aiden R. Doherty

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

2024

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.

Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden R. Doherty

npj Digit. Medicine, 2024

CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition.

Shing Chan, Hang Yuan, Catherine Tong, Aidan Acquah, Abram Schonfeldt, Jonathan Gershuny, Aiden R. Doherty

CoRR, 2024