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• Anomaly Detection in Internet of Things (IoT) Time Series Data: A Comparative Study of Various Techniques

  Author(s):

  Jonathan Rhoads (see profile)

  Date:

  2023

  Item Type:

  Abstract

  Tag(s):

  Anomaly Detection, IOT, Time Series, machine learning, Neural Networks

  Search term matches:

  Tag

  ... machine learning ...

  Full Text

  ... , Machine Learning, Neural Networks Introduction Full article available at: https ...

  
  

• A Decision Tree Analysis of Opioid and Prescription Drug Interactions Leading to Death Using the FAERS Database

  Author(s):

  Rohit R. Dixit (see profile) , Robert P. Schumaker, Michael A. Veronin

  Date:

  2018

  Subject(s):

  Artificial intelligence

  Item Type:

  Abstract

  Tag(s):

  Adverse Drug Events, decision support, Food and Drug Administration, machine learning

  Search term matches:

  Tag

  ... machine learning ...

  Full Text

  ... ? Is it possible? Our research seeks to answer these questions by applying a supervised machine learning algorithm ...

  
  

• Calculating a Severity Score of an Adverse Drug Event Using Machine Learning on the FAERS Database

  Author(s):

  Robert P. Schumaker, Michael A. Veronin, Rohit R. Dixit (see profile) , Pooja Dhake, Danya Manson

  Date:

  2017

  Subject(s):

  Machine learning

  Item Type:

  Abstract

  Tag(s):

  Adverse Drug Events, BioInformatics, machine learning, Pharmacovigilance

  Search term matches:

  Title

  ... Calculating a Severity Score of an Adverse Drug Event Using Machine Learning on the FAERS Database ...

  Subject

  ... Machine learning ...

  Tag

  ... machine learning ...

  Full Text

  ... of an Adverse Drug Event Using Machine Learning on the FAERS Database Rob Schumaker, Michael Veronin, Rohit ...

  
  

• Predicting Brand Switching from Local to Global Brands: The Role of Glocalization

  Author(s):

  Udara Rangana Jayathilaka (see profile)

  Date:

  2020

  Subject(s):

  International business enterprises

  Item Type:

  Abstract

  Tag(s):

  Brand switch, Glocalization, KNN, Logistic Regression, machine learning

  Search term matches:

  Tag

  ... machine learning ...

  Full Text

  ... , Glocalization, Logistic regression, Machine learning, KNN Declarations Competing interests https ...

  
  

• Customer Segmentation of Cross-border E-commerce based on FRMD Using Unsupervised Machine Learning

  Author(s):

  Udara Rangana Jayathilaka (see profile)

  Date:

  2021

  Subject(s):

  International business enterprises

  Item Type:

  Abstract

  Tag(s):

  Cross-border, Customer segmentation, E-commerce, machine learning, RFM, RFMD

  Search term matches:

  Title

  ... Customer Segmentation of Cross-border E-commerce based on FRMD Using Unsupervised Machine Learning ...

  Tag

  ... machine learning ...

  Full Text

  ... of Cross-border E-commerce based on FRMD Using Unsupervised Machine Learning Udara Rangana Jayathilaka ...

  
  

• MALS 289: Digital Humanities / Digital Studies (Fall 2017)

  Author(s):

  James E. Dobson (see profile)

  Date:

  2017

  Subject(s):

  Digital humanities, Digital media

  Item Type:

  Syllabus

  Tag(s):

  digital literary studies, literary theory, machine learning, text mining, data mining, Digital history

  Search term matches:

  Tag

  ... machine learning ...

  Full Text

  ... humanities including critical code studies, game studies, machine learning, and text mining. Two short essays ...

  
  

• Machine Translation and Automated Analysis of Cuneiform Languages (MTAAC)

  Author(s):

  Heather D. Baker (see profile) , Christian Chiarcos, Robert K. Englund, Ilya Khait, Émilie Pagé-Perron (see profile) , Maria Sukhareva

  Date:

  2017

  Group(s):

  Ancient Near East, Assyriologists, Linguistics, Linked Open Data, NLP for Ancient languages

  Subject(s):

  Assyriology

  Item Type:

  Other

  Tag(s):

  Cuneiform, machine learning, Mesopotamia, Natural language processing, Sumerian, Ancient languages

  Search term matches:

  Tag

  ... machine learning ...

  Full Text

  ... -intensive processes, we will free up scholars’ time. The tools that we will develop, combining machine learning ...

  
  

• Abstract : Cuneiform Digital Library Initiative White Paper for the Global Philology Project

  Author(s):

  Émilie Pagé-Perron (see profile)

  Date:

  2016

  Group(s):

  Assyriologists, Digital Humanists, Linguistics, Linked Open Data, NLP for Ancient languages

  Subject(s):

  Linguistics

  Item Type:

  Abstract

  Tag(s):

  Digital Assyriology, machine learning, Open Data, Semantic Web, Universal Access

  Search term matches:

  Tag

  ... machine learning ...

  Full Text

  ... Data, Machine Learning, Universal Access, Semantic Web Abstract: The Cuneiform Digital Library ...

  
  

• Machine Reading the Primeros Libros

  Author(s):

  Hannah Alpert-Abrams (see profile)

  Date:

  2016

  Subject(s):

  Latin American literature, Latin Americans--Social life and customs, Sixteenth century, Seventeenth century, Eighteenth century, Digital humanities

  Item Type:

  Article

  Tag(s):

  machine learning, algorithms, new spain, mexico, Colonial Latin American literature and culture, Early modern studies

  Search term matches:

  Tag

  ... machine learning ...

  
  

• Can An Algorithm Be Disturbed?: Machine Learning, Intrinsic Criticism, and the Digital Humanities

  Author(s):

  James E. Dobson (see profile)

  Date:

  2015

  Group(s):

  TC Digital Humanities, TM Literary Criticism

  Subject(s):

  Digital humanities, Methodology

  Item Type:

  Article

  Tag(s):

  digital reading, hermeneutics, machine learning, Literary theory

  Search term matches:

  Title

  ... Can An Algorithm Be Disturbed?: Machine Learning, Intrinsic Criticism, and the Digital Humanities ...

  Tag

  ... machine learning ...

  Full Text

  ... BE DISTURBED? MACHINE LEARNING, INTRINSIC CRITICISM, AND THE DIGITAL HUMANITIES JAMES E. DOBSON Never act ...

  
  

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