Demo Data from SIGIR 2026 / reviewers in the wild / expert
Luke E. Hallum
dblp:115/8040
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-8184-1703ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics
neural interface |
0.1 | 1 | 2010 | Biological-Machine Systems Integration: Engineering the Neural Interface · Proc. IEEE 2010 |
Medical and health informatics
neural prosthesis |
0.1 | 1 | 2010 | Biological-Machine Systems Integration: Engineering the Neural Interface · Proc. IEEE 2010 |
Medical and health informatics
neurostimulation |
0.1 | 1 | 2010 | Biological-Machine Systems Integration: Engineering the Neural Interface · Proc. IEEE 2010 |
Medical and health informatics › neural interface
neural recording |
0.0 | 1 | 2010 | Biological-Machine Systems Integration: Engineering the Neural Interface · Proc. IEEE 2010 |
Methods — techniques the papers use, named apart from their topics
parallel stimulus encoding · 0.1biocompatibility analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Electroencephalogram (EEG) Subband Features During Eye Opening and Closure Enable Classification of Amblyopes and Visually Normal Controls: A Pilot Study
Gabriel W. Fernandes, Lachlan D. Barnes, Jerry J. Zhang, Luke E. Hallum |
AIME (2) | 4 |
| 2010 | Biological-Machine Systems Integration: Engineering the Neural InterfaceabstractThe state of the art of biological-machine systems integration (BMSI) with an emphasis on neural interfacing is reported. The goal of BMSI from a medical viewpoint is to effectively replace or facilitate activation of, or recording from, neural elements in a part of the nervous system. BMSI will be firstly examined from a generic level whereby the current technologies for noninvasive and invasive neural recording and neural stimulation will be detailed. A case study in the area of visual neuroprosthesis will be presented to elucidate the current and future issues facing BMSI. This will include a discussion on biocompatibility, design of stimulating electrodes, the implanted microelectronic neurostimulator, and parallelization of stimulus encoding and delivery. Nigel H. Lovell, John W. Morley, Spencer C. Chen, Luke E. Hallum, Gregg J. Suaning |
Proc. IEEE | 4 |