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• Amaresh: test #1.5 on HCDEV of cropped subject select fields

  Author(s):

  Amaresh Joshi (see profile)

  Date:

  2022

  Subject(s):

  Kierkegaard, Søren, 1813-1855, Machine learning, Montesquieu, Charles de Secondat, baron de, 1689-1755, De l'esprit des lois (Montesquieu, Charles de Secondat, baron de), French literature

  Item Type:

  Article

  Tag(s):

  docker, food archaeology

  
  

• Annotation of Medieval Music Facsimiles Using ‘Good Enough’ OMR

  Author(s):

  Joshua Stutter

  Editor(s):

  Stefan Münnich (see profile) , David Rizo

  Date:

  2022

  Group(s):

  Music Encoding Initiative

  Subject(s):

  Digital humanities, Machine learning, Middle Ages, Music

  Item Type:

  Conference proceeding

  Tag(s):

  Notre Dame, transcription, Medieval

  
  

• Segmentation of Bank Consumers for Artificial Intelligence Marketing

  Author(s):

  Omri Raiter (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Article

  Tag(s):

  AI marketing, bank, Card holders, cluster analysis

  
  

• Applying Supervised Machine Learning Algorithms for Fraud Detection in Anti-Money Laundering

  Author(s):

  Omri Raiter (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Article

  Tag(s):

  AML, ANN, Logistic Regression, Random Forest, SVM

  
  

• Artificial intelligence and machine learning: improving the efficiency of library services

  Author(s):

  Caroline Stafford (see profile)

  Date:

  2021

  Group(s):

  CityLIS

  Subject(s):

  Artificial intelligence, Library science, Information science, Machine learning

  Item Type:

  Essay

  Tag(s):

  Library and information science

  
  

• Mapping the Latent Spaces of Culture

  Author(s):

  Ted Underwood (see profile)

  Date:

  2021

  Group(s):

  Digital Humanists, Sociology, TC Digital Humanities

  Subject(s):

  Machine learning, Natural language processing (Computer science), Culture--Philosophy

  Item Type:

  Article

  Tag(s):

  Natural language processing, Cultural theory

  
  

• Robotic Process Automation in Healthcare

  Author(s):

  Mohammed Yousef Shaheen (see profile)

  Date:

  2021

  Subject(s):

  Machine learning, Artificial intelligence

  Item Type:

  Article

  Tag(s):

  #health

  
  

• Major ethical challenges facing introduction of artificial intelligence in healthcare

  Author(s):

  Mohammed Yousef Shaheen (see profile)

  Date:

  2021

  Subject(s):

  Artificial intelligence, Machine learning

  Item Type:

  Article

  Tag(s):

  health

  
  

• Importance of Natural Language Processing in Healthcare as Part of AI

  Author(s):

  Mohammed Yousef Shaheen (see profile)

  Date:

  2021

  Subject(s):

  Artificial intelligence, Machine learning

  Item Type:

  Article

  Tag(s):

  #healt

  
  

• Role of Machine Learning in Disease Identification and Diagnosis

  Author(s):

  Mohammed Yousef Shaheen (see profile)

  Date:

  2021

  Subject(s):

  Artificial intelligence, Machine learning

  Item Type:

  Article

  Tag(s):

  health

  
  

• AI in Imaging and Diagnosis of Cancer

  Author(s):

  Mohammed Yousef Shaheen (see profile)

  Date:

  2021

  Subject(s):

  Artificial intelligence, Machine learning

  Item Type:

  Article

  Tag(s):

  #health

  
  

• Indiscretions of a Contemporary Artist: Reflections on Trevor Paglen's (ab)use of the JAFFE dataset

  Author(s):

  Michael Lyons (see profile)

  Date:

  2021

  Group(s):

  Digital Art History, Digital Humanists, Linked Open Data, Science and Technology Studies (STS)

  Subject(s):

  Machine learning, Artificial intelligence, Big data, Data mining, Affect (Psychology), Art, Modern, Twenty-first century, Computer vision

  Item Type:

  Article

  Tag(s):

  facial expression, informed consent, critique, datasets, Data science, Theories of affect, Contemporary art

  
  

• Adoption of machine learning for medical diagnosis

  Author(s):

  Mohammed Yousef Shaheen (see profile)

  Date:

  2021

  Subject(s):

  Artificial intelligence, Machine learning

  Item Type:

  Article

  Tag(s):

  #healthcare

  
  

• AI in Healthcare: medical and socio-economic benefits and challenges

  Author(s):

  Mohammed Yousef Shaheen (see profile)

  Date:

  2021

  Subject(s):

  Artificial intelligence, Machine learning

  Item Type:

  Article

  Tag(s):

  #healthcare, Quality of Healthcare Services

  
  

• Indiscretions of a Contemporary Artist: Reflections on Trevor Paglen's (ab)use of the JAFFE dataset

  Author(s):

  Michael Lyons (see profile)

  Date:

  2021

  Group(s):

  Archives, Digital Art History, Digital Humanists, Science and Technology Studies (STS)

  Subject(s):

  Affect (Psychology), Art, Modern, Twenty-first century, Machine learning, Computer vision, Ethics, Fair use (Copyright)

  Item Type:

  Essay

  Tag(s):

  dataset, visual psychology, affective computing, informed consent, Affect, Contemporary art, Fair use

  
  

• Indiscretions of a Contemporary Artist: Reflections on Trevor Paglen's (ab)use of the JAFFE dataset

  Author(s):

  Michael Lyons (see profile)

  Date:

  2021

  Group(s):

  Digital Art History, Digital Humanists, Linked Open Data, Science and Technology Studies (STS)

  Subject(s):

  Affect (Psychology), Art, Modern, Twenty-first century, Critical theory, Data mining, Art and science, Science--Study and teaching, Technology--Study and teaching, Machine learning

  Item Type:

  Article

  Tag(s):

  facial expression, affective computing, dataset, Ethics of Emerging Technologies, Affect, Contemporary art, Critical data studies, Science and art, STS

  
  

• Determining success factors for project with supervised machine learning

  Author(s):

  Grant Saxena (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Article

  Tag(s):

  Business analytics, project management

  
  

• Investigating the determinants of successful budgeting with SVM and Binary models.

  Author(s):

  Naveen Kunnathuvalappil Hariharan (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Article

  
  

• Investigating the determinants of successful budgeting with SVM and Binary models

  Author(s):

  Naveen Kunnathuvalappil Hariharan (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Article

  
  

• Tree Variable Selection for Paired Case-Control Studies with Application to Microbiome Data

  Author(s):

  Hemant Ishwaran, Min Lu (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Book chapter

  Tag(s):

  variable selection; paired case-control studies, microbiome data

  
  

• Predictive model building for driverbased budgeting using machine learning

  Author(s):

  Naveen Kunnathuvalappil Hariharan (see profile)

  Date:

  2017

  Subject(s):

  Machine learning, Business writing

  Item Type:

  Article

  Tag(s):

  finance, financial decision-making

  
  

• “Excavating AI” Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset

  Author(s):

  Michael Lyons (see profile)

  Date:

  2021

  Group(s):

  Archives, Digital Art History, Digital Humanists, Linked Open Data, Science and Technology Studies (STS)

  Subject(s):

  Affect (Psychology), Artificial intelligence, Critical theory, Data mining, Information technology--Moral and ethical aspects, Machine learning

  Item Type:

  Article

  Tag(s):

  facial expression, training sets, affective computing, dataset, Affect, Critical data studies, Information ethics

  
  

• The Automatic Generation of Contextual Questions and Answers for English Learners

  Author(s):

  Sungjin Ahn, Sung Won Han, Minji Kang (see profile) , Hoyeol Kim, Donghwan Kim

  Date:

  2021

  Group(s):

  ACH 2021

  Subject(s):

  Digital humanities, Machine learning, Teaching

  Item Type:

  Conference poster

  Tag(s):

  BERT, deep learning, GPT-2, T5, transformer, Pedagogy

  
  

• Ottoman Transkribus: Training an HTR+ Model for 18th century Ottoman Paleography

  Author(s):

  Merve Tekgürler (see profile)

  Date:

  2021

  Group(s):

  Global Digital Humanities Symposium

  Subject(s):

  Digital humanities, History, Sixteenth century, Seventeenth century, Machine learning, Turkey, Paleography

  Item Type:

  Presentation

  Tag(s):

  ottoman turkish, text recognition, transkribus, Early modern history, Ottoman Empire

  
  

• Deep Learning of Biblical Cantillation Based on Linguistic Features Poster

  Author(s):

  Chaim Metzger (see profile) , Joshua Waxman

  Date:

  2021

  Group(s):

  CSDH-SCHN 2021: Making the Network

  Subject(s):

  Machine learning, Musical analysis, Grammar, Comparative and general--Syntax

  Item Type:

  Conference poster

  Tag(s):

  Hebrew bible, Music analysis, Syntax

  
  

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