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20242026
most citedCross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

cs.IR20261 cited

Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio

Niall McGuire, Yashar Moshfeghi

Query formulation from internal information needs remains fundamentally challenging across all Information Retrieval paradigms due to cognitive complexity and physical impairments.…

cs.IR2025

Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations

Niall McGuire, Yashar Moshfeghi

Information Retrieval (IR) systems primarily rely on users' ability to translate their internal information needs into (text) queries. However, this translation process is often un…

cs.HC2025

On Error Classification from Physiological Signals within Airborne Environment

Niall McGuire, Yashar Moshfeghi

Human error remains a critical concern in aviation safety, contributing to 70-80% of accidents despite technological advancements. While physiological measures show promise for err…

cs.IR2025

Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities

Yashar Moshfeghi, Niall McGuire

The fundamental goal of Information Retrieval (IR) systems lies in their capacity to effectively satisfy human information needs - a challenge that encompasses not just the technic…

cs.IR2024

Prediction of the Realisation of an Information Need: An EEG Study

Niall McGuire, Dr Yashar Moshfeghi

One of the foundational goals of Information Retrieval (IR) is to satisfy searchers' Information Needs (IN). Understanding how INs physically manifest has long been a complex and e…