Browsing Colleges and Schools by Author "Qian, Xiaoning"
Now showing items 41-60 of 89
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Tan, Wuwei (2023-08-02)It is critical to accurately predict genomic variations’ effects, as those variations are closely related to human health and disease development. However, due to the lack of the data and the understanding of the variation ...
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Gao, Hongyang (2020-06-24)Deep neural networks (DNNs) have achieved great success on grid-like data such as images, but face tremendous challenges in learning from more generic data such as graphs. In convolutional neural networks (CNNs), for ...
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Bonde, Aniket Sanjiv (2018-11-27)Over the past decade, vast number of online consumer reviews have made a significant presence on the Internet. These reviews play a vital role in consumer awareness about the products and deeply impact the consumer's ...
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Zhou, Fangtong (2020-04-16)This project focuses on developing machine learning methods to predict protein-ligand interactions. The unique proteins under study are nuclear receptors (NRs), which regulate hormone-triggered gene transcription and are ...
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Tsai, Chung-Chi (2018-05-27)The advance of digital technologies has endowed people with easier access to massive collections of image or video data than ever before. For its capability to borrow signal strengths across images or video frames, image ...
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Zhang, Yanyan (2017-11-15)We are living in an era full of data services, and the advancement in statistical learning encourages the development of intelligent system design algorithms based on practical data. In our work, we plan to study two ...
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An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums Gao, Jun (2017-11-29)Online Healthcare Forums (OHFs) have become increasingly popular for patients to share their health-related experiences. The healthcare-related texts posted in OHFs could help doctors and patients better understand specific ...
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Pentyala, Shiva Kumar (2019-11-12)Fake news is one of the most serious challenges facing the news industry today, which could result in adverse impacts on our society. Recent progress of deep neural networks (DNNs) has shown some promising results in ...
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Xu, Jiaxi (2020-11-11)This thesis is concerned with investigating super-resolution algorithms and solutions for handling electron microscopic images. Please note two main aspects differentiating the problem discussed here from those considered ...
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Gou, Xinyi (2021-11-24)Poroelastography is a new subfield of ultrasound elastography that enables cost-effective and non-invasive imaging of mechanical properties of tissues. Assessment of changes in the mechanical properties of tumors is of ...
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Boluki, Shahin (2021-05-19)In engineering and life science applications, designing reliable and reproducible predictors is of utmost importance and interest. On one hand, the amount of available data for the application and problem of interest may ...
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Ardywibowo, Randy (2022-08-18)Artificial Intelligent and Machine Learning (AI/ML) systems have been widely adopted with the increasing availability of data in a variety of applications such as computer vision, activity recognition, autonomous driving, ...
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Bhat, Zaid Pervaiz (2022-10-28)Computer Vision is witnessing unprecedented growth over the past few years mainly because of the applications of deep learning methods to computer vision tasks like classification, action recognition, segmentation, and ...
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Huo, Zepeng (2017-11-21)Link prediction in social networks is to infer the new links likely to be formed next or to reconstruct the links that are currently missing. Link prediction is of great interest recently since one of the most important ...
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Maddouri, Omar (2022-08-17)With the rapid expansion of big data in all science and engineering domains, the potential that lays behind these massive data is undoubtedly significant. Leveraging such information in an optimal way requires innovative ...
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Tan, Yukun (2021-05-03)Nonlinear state-space models have long been used in the statistical signal processing community as a powerful tool for modeling and forecasting the behavior of dynamical systems. However, in the case of a large system with ...
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Niu, Puhua (2021-12-02)Advances in bioengineering have enabled numerous bio-based commodities. Yet most traditional approaches do not extend beyond a single metabolic pathway or do not attempt to modify gene regulatory networks in order to buffer ...
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Yang, Shenyang (2016-12-06)Microalgae has attained great interest as a future renewable energy source. However, the production cost of microalgae based biofuel is still not economically competitive compared to fossil fuel and food crops and oil ...
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Wang, Yijie (2015-08-12)Advances in high-throughput techniques have enabled researchers to produce large-scale data on molecular interactions. Systematic analysis of these large-scale interactome datasets based on their graph representations has ...
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Liu, Fan (2018-11-06)Jasmonic Acid (JA) is one of the important substances that associates with stomatal closure under drought stress for maize. In this project, we performed multiple network analyses to identify the expression patterns of JA ...