Ciaran Bench

According to our database, Ciaran Bench authored at least 11 papers between 2025 and 2026.

Collaborative distances:

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

2026

Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification.

Ciaran Bench

CoRR, April, 2026

Benchmark Problems and Benchmark Datasets for the evaluation of Machine and Deep Learning methods on Photoplethysmography signals: the D4 report from the QUMPHY project.

Urs Hackstein, Jordi Alastruey, Philip J. Aston, Ciaran Bench, Peter H. Charlton, Loic Coquelin, Nando Hegemann, Vaidotas Marozas, Mohammad Moulaeifard, Manasi Nandi, Andrius Petrenas, Oskar Pfeffer, Mantas Rinkevicius, Andrius Solosenko, Nils Strodthoff, Sara Vardanega

CoRR, April, 2026

Ctrl-A: Control-Driven Online Data Augmentation.

Jesper B. Christensen, Ciaran Bench, Spencer A. Thomas, Hüsnü Aslan, David Balslev-Harder, Nadia A. S. Smith, Alessandra Manzin

CoRR, March, 2026

Investigation into using stochastic embedding representations for evaluating the trustworthiness of the Fréchet Inception Distance.

Ciaran Bench, Vivek Desai, Carlijn Roozemond, Ruben E. van Engen, Spencer A. Thomas

CoRR, January, 2026

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches.

Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

Biomed. Signal Process. Control., 2026

2025

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis.

Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson

CoRR, November, 2025

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks.

Ciaran Bench, Vivek Desai, Mohammad Moulaeifard, Nils Strodthoff, Philip J. Aston, Andrew Thompson

CoRR, May, 2025

Quantifying the uncertainty of model-based synthetic image quality metrics.

Ciaran Bench, Spencer A. Thomas

CoRR, April, 2025

Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography.

Emir Ahmed, Spencer A. Thomas, Ciaran Bench

CoRR, February, 2025

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios.

Ciaran Bench, Emir Ahmed, Spencer A. Thomas

CoRR, January, 2025

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios.

Ciaran Bench, Emir Ahmed, Spencer Thomas

Proceedings of the International Joint Conference on Neural Networks, 2025