Daniel Kelleher

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This paper describes initial experiments in applying knowledge derived from hypertext structure to domain-specific automatic keyphrase extraction. It is found that hyperlink information can improve the effectiveness of automatic keyphrase extraction by 50%. However, the primary goal of this project is to apply similar techniques to information retrieval(More)
The EEG signal is very often contaminated by electrical activity external to the brain. These artefacts make the accurate detection of epileptiform activity more difficult. A scheme developed to improve the detection of these artefacts (and hence epileptiform event detection) is introduced. A structure of parallel Support Vector Machine classifiers is(More)
We consider a method to estimate relative uncertainties of radiative transition rates in an atomic spectrum. Few of these many transitions have had their rates determined by more than two reference-quality sources. One could estimate uncertainties for each transition, but analyses with only one degree of freedom are generally fraught with difficulties. We(More)
Routine electroencephalogram (EEG) is an important test in aiding the diagnosis of patients with suspected epilepsy. These recordings typically last 20-40 minutes, during which signs of abnormal activity (spikes, sharp waves) are looked for in the EEG trace. It is essential that events of short duration are detected during the routine EEG test. The work(More)
A detector originally designed for seizure detection is modified to detect epileptiform activity in adults. The detector is intended for ambulatory use, and as such an emphasis is placed on the computational load of the detector. A framework is proposed making use of genetic algorithms in order to select the features for a Gaussian mixture classifier.(More)
We have set up a novel direct detection system to measure filter transmittances over an attenuation range of at least 5 decades, with relative combined standard uncertainties as low as 0.5% (1σ) per decade, in the 9 μm to 11 μm spectral region. This system, using an apparatus originally designed for a heterodyne measurement of transmittance, achieves higher(More)
Ambulatory EEG requires signal processing algorithms which are efficient in terms of how much power they use in their computation, while at the same time providing accurate decision-making capabilities. Two methods of achieving this are to downsample the EEG and to perform bitwidth reduction on the data. The effect of performing both of these techniques to(More)
ACKNOWLEDGEMENT I would like to express my deepest gratitude to my mentor, Dr. Reid Gilmore. His insightful advice and constant encouragement guided me through my graduate research. I was always inspired by his intelligence and dedication to the work. I want to thank specially my husband, Zhiliang Cheng, for his love and support. He has been my best friend(More)
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