Bayesian Optimization (BO) methods are often used to optimize an unknown function f(•) that is costly to evaluate. They typically work in an iterative manner. In each iteration, given a set of observation points, BO algorithms select k ≥ 1 points to be evaluated. The results of those points are...
Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language.
In this dissertation, we will first introduce several deep models...
The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
Cryoprotectants (CPAs) such as glycerol and dimethyl sulfoxide (DMSO) are commonly used during cryopreservation of cell based therapeutics. Although these additives are beneficial during freezing, it is often desirable to remove them before infusion into a patient. Currently, the most common method for CPA removal is by centrifugation. This method...
A comprehensive tribal-level classification for the world's subfamilies of Hesperiidae, the skipper butterflies, is proposed for the first time. Phylogenetic relationships between tribes and subfamilies are inferred using DNA sequence data from three gene regions: 943 bp of cytochrome oxidase subunit I (COI) (in the mitochondrial genome), 739 bp of...
Automatic event extraction from natural text is an important and challenging task for natural language understanding. Traditional event detection methods heavily rely on manually engineered rich features. Recent deep learning approaches alleviate this problem by automatic feature engineering. But such efforts, like tradition methods, have so far only focused on...
Successful cryopreservation of bone marrow in situ within vertebral bodies offers an opportunity for quick and convenient storage of a significant quantity of bone marrow stem cells, including hematopoietic- and mesenchymal-type stem cells. However, cryopreservation of more complex large tissues and organs, such as the vertebral body (VB), remains problematic....
In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
Granulocytes are a class of white blood cells essential to immune function. Granulocyte transfusions hold promise to treat many conditions, but the short-shelf life of granulocytes makes transfusions infeasible without a cell preservation method. The purpose of this study was to investigate the potential for cryopreservation of granulocytes using 30%...