Search Results - "Farrelly, Colleen M."

Topological data analysis in medical imaging: current state of the art by Singh, Yashbir, Farrelly, Colleen M., Hathaway, Quincy A., Leiner, Tim, Jagtap, Jaidip, Carlsson, Gunnar E., Erickson, Bradley J.

“…Machine learning, and especially deep learning, is rapidly gaining acceptance and clinical usage in a wide range of image analysis applications and is regarded…”
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Using a Machine Learning Algorithm to Predict Online Patient Portal Utilization: A Patient Engagement Study by Otokiti, Ahmed U, Farrelly, Colleen M, Warsame, Leyla, Li, Angie

“…There is a low rate of online patient portal utilization in the U.S. This study aimed to utilize a machine learning approach to predict access to online…”
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Personal and Cultural Identity Development in Recently Immigrated Hispanic Adolescents: Links With Psychosocial Functioning by Meca, Alan, Sabet, Raha F., Farrelly, Colleen M., Benitez, Cynthia G., Schwartz, Seth J., Gonzales-Backen, Melinda, Lorenzo-Blanco, Elma I., Unger, Jennifer B., Zamboanga, Byron L., Baezconde-Garbanati, Lourdes, Picariello, Simona, Des Rosiers, Sabrina E., Soto, Daniel W., Pattarroyo, Monica, Villamar, Juan A., Lizzi, Karina M.

“…Objectives: This study examined directionality between personal (i.e., coherence and confusion) and cultural identity (i.e., ethnic and U.S.) as well as their…”
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The analysis of bridging constructs with hierarchical clustering methods: An application to identity by Farrelly, Colleen M., Schwartz, Seth J., Lisa Amodeo, Anna, Feaster, Daniel J., Steinley, Douglas L., Meca, Alan, Picariello, Simona

“…•Hierarchical clustering (HC) is proposed for evaluating measures of bridging constructs, as identity.•HC is compared to exploratory factor analysis (EFA).•HC…”
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Dimensionality Reduction Ensembles by Farrelly, Colleen M

“…Ensemble learning has had many successes in supervised learning, but it has been rare in unsupervised learning and dimensionality reduction. This study…”
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Deep vs. Diverse Architectures for Classification Problems by Farrelly, Colleen M

“…This study compares various superlearner and deep learning architectures (machine-learning-based and neural-network-based) for classification problems across…”
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Extensions of Morse-Smale Regression with Application to Actuarial Science by Farrelly, Colleen M

“…The problem of subgroups is ubiquitous in scientific research (ex. disease heterogeneity, spatial distributions in ecology...), and piecewise regression is one…”
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KNN Ensembles for Tweedie Regression: The Power of Multiscale Neighborhoods by Farrelly, Colleen M

“…Very few K-nearest-neighbor (KNN) ensembles exist, despite the efficacy of this approach in regression, classification, and outlier detection. Those that do…”
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Quantum Generalized Linear Models by Farrelly, Colleen M, Namuduri, Srikanth, Chukwu, Uchenna

“…Generalized linear models (GLM) are link function based statistical models. Many supervised learning algorithms are extensions of GLMs and have link functions…”
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The Role of Geometry in Convolutional Neural Networks for Medical Imaging by Singh, Yashbir, Farrelly, Colleen, Hathaway, Quincy A., Choudhary, Ashok, Carlsson, Gunnar, Erickson, Bradley, Leiner, Tim

“…Convolutional neural networks (CNNs) have played an important role in medical imaging—from diagnostics to research to data integration. This has allowed…”
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