5 Result(s)
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Chapter and Conference Paper
Gradient-Based Enhancement Attacks in Biomedical Machine Learning
The prevalence of machine learning in biomedical research is rapidly growing, yet the trustworthiness of such research is often overlooked. While some previous works have investigated the ability of adversaria...
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Chapter and Conference Paper
Transforming Connectomes to “Any” Parcellation via Graph Matching
Brain connectomes—the structural or functional connections between distinct brain regions—are widely used for neuroimaging studies. However, different ways of brain parcellation are proposed and used by differ...
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Chapter and Conference Paper
Data-Driven Map** Between Functional Connectomes Using Optimal Transport
Functional connectomes derived from functional magnetic resonance imaging have long been used to understand the functional organization of the brain. Nevertheless, a connectome is intrinsically linked to the a...
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Chapter and Conference Paper
A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences
Functional connectivity derived from functional magnetic resonance imaging data has been extensively used to characterize individual and group differences. While these connectomes have traditionally been const...
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Chapter and Conference Paper
SS4MCT: A Statistical Stemmer for Morphologically Complex Texts
There have been multiple attempts to resolve various inflection matching problems in information retrieval. Stemming is a common approach to this end. Among many techniques for stemming, statistical stemming h...
