Algorithm for determination of thresholds of significant coherence in time-frequency analysis. - Giles Blaney; Angelo Sassaroli; Sergio Fantini (Biomed. Signal Process. Control., 2020)

Domain Adaptation for Robust Workload Classification using fNIRS. - Boyang Lyu; Thao Pham; Giles Blaney; Zachary Haga; Sergio Fantini; Shuchin Aeron (CoRR, 2020)

The Tufts fNIRS Mental Workload Dataset & Benchmark for Brain-Computer Interfaces that Generalize. - Zhe Huang; Liang Wang; Giles Blaney; Christopher Slaughter; Devon McKeon; Ziyu Zhou; Robert J. K. Jacob; Michael C. Hughes (NeurIPS Datasets and Benchmarks, 2021)

Taming fNIRS-based BCI Input for Better Calibration and Broader Use. - Liang Wang; Zhe Huang; Ziyu Zhou; Devon McKeon; Giles Blaney; Michael C. Hughes; Robert J. K. Jacob (UIST, 2021)

Empower Real-World BCIs with NIRS-X: An Adaptive Learning Framework that Harnesses Unlabeled Brain Signals. - Liang Wang; Jiayan Zhang; Jinyang Liu 005; Devon McKeon; David Guy Brizan; Giles Blaney; Robert J. K. Jacob (UIST, 2024)

Neural and Cognitive Impacts of AI: The Influence of Task Subjectivity on Human-LLM Collaboration. - Matthew Russell; Aman Shah; Giles Blaney; Judith Amores; Mary Czerwinski; Robert J. K. Jacob (CoRR, 2025)