Biterm Topic Model (BTM) is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns (e.g., biterms). (In constrast, LDA and PLSA are word-document ...
Abstract: Diabetic Retinopathy (DR) is leading cause of blindness that requires timely and accurate diagnosis for effective treatment. This paper presents a novel DR classification method using a ...
Abstract: This paper presents a motor imagery based Brain Computer Interface (BCI) that uses single channel EEG signal from the C3 or C4 electrode placed in the motor area of the head. Time frequency ...
aThe Hong Kong Jockey Club Centre for Suicide Research and Prevention, Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong ...
The process of ranking scientific publications in dynamic citation networks plays a crucial rule in a variety of applications. Despite the availability of a number of ranking algorithms, most of them ...
You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.
We present an open-source Python package to compute information-theoretical quantities for electroencephalographic data. Electroencephalography (EEG) measures the electrical potential generated by the ...
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