Chronic insomnia can significantly impair an individual's quality of life leading to a high
societal cost. Unfortunately, limited automated tools exist that can assist clinicians in the timely …

Effective sleep analysis is hampered by the lack of automated tools catering to disordered
sleep patterns and cumbersome monitoring hardware. In this paper, we apply deep learning …

Sleep disorders are becoming increasingly prevalent in society. However most of the
burgeoning research on automated sleep analysis has been in the realm of sleep stage …

This paper presents methodologies for interoperable annotation of events and event
relations across different domains, based on notions proposed in prior work. In addition to the …

Stress is currently one of society's dominant health problems with far-reaching effects on
human health. Traditional methods of stress therapy are expensive and have low adherence …

Let 2N be the class of families of problems solvable by families of two-way nondeterministic
finite automata of polynomial size. We characterize 2N in terms of families of formulas of …

This paper presents a neural network classifier approach to detecting precise within-document
(WD) and cross-document (CD) event coreference clusters effectively using only event …

This paper presents a neural network classifier approach to detecting both within- and cross-
document event coreference effectively using only event mention based features. Our …

We present a spoken dialogue corpus and annotation scheme for conversational image
editing, where people edit an image interactively through spoken language instructions. Our …

… To imitate the decision making process of clinicians, Mulaffer et al. [29] used features
from both EEG signals and hypnogram, and compared them with a support vector machine (SVM) …