Research on multifidelity Bayesian optimization and differentiable simulation surrogates for efficient design optimization of detectors for the proposed FCC-ee at CERN.
@inproceedings{brillo2026fccee,title={AI-Driven Optimization of Detector Design for the FCC-ee},author={Brillo, Ivan},booktitle={4th US FCC Meeting},location={SLAC National Accelerator Laboratory, Menlo Park, CA},year={2026},month=sep,}
Under review
ResCTrans: an Explainable Amyloidosis Classifier using Temporal Transformers from ECG Signals
Ivan Brillo and others
Jul 2026
Submitted to IEEE Journal of Biomedical and Health Informatics
An explainable classifier for cardiac amyloidosis from ECG signals based on temporal Transformers, with interpretability via Grad-CAM and Attention Rollout.
@unpublished{brillo2026resctrans,title={ResCTrans: an Explainable Amyloidosis Classifier using Temporal Transformers from ECG Signals},author={Brillo, Ivan and others},note={Submitted to IEEE Journal of Biomedical and Health Informatics},year={2026},month=jul,}