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Volume 3, Number 2 (2020)

Articles

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A Novel Methodology to Identify the Primary Topics Contained Within the COVID-19 Research Corpus
Allen Crane, Brock Freidrich, William Fehlman, Igor Frolow, and Daniel W. Engels

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Predicting Attrition - a Driver for Creating Value, Realizing Strategy, and Refining Key HR Processes
Kevin Mendonsa, Maureen Stolberg, Vivek Viswanathan, and Scott Crum

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Spoken Language Recognition on Open-Source Datasets
Brady Arendale, Samira Zarandioon, Ryan Goodwin, and Douglas Reynolds

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Acute Lymphoblastic Leukemia Detection Using Depthwise Separable Convolutional Neural Networks
Laurence P. Clinton Jr., Karen M. Somes, Yongjun Chu, and Faizan Javed

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Compressed DNA Representation for Efficient AMR Classification
John Partee, Robert Hazell, Anjli Solsi, and John Santerre

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Forecasting Spare Parts Sporadic Demand Using Traditional Methods and Machine Learning - a Comparative Study
Bhuvana Adur Kannan, Ganesh Kodi, Oscar Padilla, Dough Gray, and Barry C. Smith

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Fall Detection: Threshold Analysis of Wrist-Worn Motion Sensor Signals
Michael J. Wolfe, Jospeh Caguioa, Andy Nguyen, and Jacquelyn Cheun PhD

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Reducing Age Bias in Machine Learning: An Algorithmic Approach
Adriana Solange Garcia de Alford, Steven K. Hayden, Nicole Wittlin, and Amy Atwood

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Toxic Language Detection using Robust Filters
Deepti Kunupudi, Shantanu Godbole, Pankaj Kumar, and Suhas Pai

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Time Series Analysis of Offshore Buoy Light Detection and Ranging (LIDAR) Windspeed Data
Aditya Garapati, Charles J. Henderson, Carl Walenciak, and Brian T. Waite

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Topic Modeling to Understand Technology Talent
Chad Madding, Allen Ansari, Chris Ballenger, and Aswini Thota