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61.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
62.
A Novel Distance Measure and Semantic Segmentation for Time Series Data
by Gharghabi, Shagahyegh, Ph.D.  University of California, Riverside. 2020: 131 pages; 28093634.
63.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
64.
Object Ranking Algorithms for Improved Decision Making
by Duggimpudi, Maria Bala, Ph.D.  University of Louisiana at Lafayette. 2017: 135 pages; 10684385.
65.
New Views of Deep Metric Learning
by Xuan, Hong, D.Sc.  The George Washington University. 2021: 112 pages; 28319772.
66.
Reasoning about taxonomies
by Thau, David Michael, Ph.D.  University of California, Davis. 2010: 204 pages; 3422778.
67.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
68.
Anomaly Detection on Social Data
by Hanbo, Dai, Ph.D.  Singapore Management University (Singapore). 2013: 146 pages; 3601348.
69.
Lithium-Ion Battery SOC Estimation Using Deep Learning Neural Networks
by Wang, Rui, M.S.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 55 pages; 22624788.
70.
71.
Multimodal Deep Learning to Enhance the Practice of Radiology
by Badgeley, Marcus Alexander, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 236 pages; 10974774.
72.
Predicting Chronic Non-Cancer Toxicity Levels from Short-Term Toxicity Data
by Kratchman, Jessica, Dr.P.H.  The George Washington University. 2017: 99 pages; 10263969.
73.
Agents of change: A new role for learners in online workplace training
by Warren, Kathryn Lloyd, Ph.D.  Capella University. 2014: 168 pages; 3625946.
74.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
75.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
76.
Application of Graph Theoretic Clustering on Some Biomedical Data Sets
by Ahlert, Darla, M.S.  Southern Illinois University at Edwardsville. 2015: 59 pages; 1588658.
78.
Beach Morphodynamic Change Detection using LiDAR during El NiƱo Periods in Southern California
by Grubbs, Melodie, M.S.  University of Southern California. 2017: 156 pages; 10257407.
80.
Unbiased Phishing Detection Using Domain Name Based Features
by Shirazi, Hossein, M.S.  Colorado State University. 2018: 72 pages; 10826588.
81.
Multi-Class Computational Evolution: Development, Benchmark Comparison, and Application to RNA-Seq Biomarker Discovery
by Crabtree, Nathaniel Mark, Ph.D.  University of Arkansas at Little Rock. 2017: 106 pages; 10620232.
83.
Online Management and Mining of Heteregenous and Dynamic Time Series
by Altiparmak, Fatih, Ph.D.  The Ohio State University. 2008: 176 pages; 10630894.
85.
Scalable, situationally aware visual analytics and applications
by Eaglin, Todd, Ph.D.  The University of North Carolina at Charlotte. 2017: 180 pages; 10270103.
86.
High performance methods for frequent pattern mining
by Vu, Lan, Ph.D.  University of Colorado at Denver. 2014: 190 pages; 3667246.
87.
Data Synthesis for Object Recognition
by Zhang, Xi, Ph.D.  Illinois Institute of Technology. 2017: 140 pages; 10642437.
88.
61 - 90 of 5736 displayed.
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