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• 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, Early modern history, Machine learning, Ottoman Empire, Paleography

  Item Type:

  Presentation

  Tag(s):

  ottoman turkish, text recognition, transkribus

  
  

• 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):

  Hebrew bible, Machine learning, Music analysis, Syntax

  Item Type:

  Conference poster

  
  

• Deep Learning of Biblical Cantillation based on Linguistic Features

  Author(s):

  Chaim Metzger (see profile) , Joshua Waxman

  Date:

  2021

  Group(s):

  CSDH-SCHN 2021: Making the Network

  Subject(s):

  Hebrew bible, Machine learning, Music analysis, Syntax

  Item Type:

  Presentation

  
  

• Using Dimensionality Reduction and Tag Parameter Spaces to Study Historical Change in a Large Document Archive

  Author(s):

  Tim Hitchcock, William J Turkel (see profile)

  Date:

  2021

  Group(s):

  CSDH-SCHN 2021: Making the Network

  Subject(s):

  Text linguistics, Historical databases, Machine learning, Representation, Crime and punishment

  Item Type:

  Presentation

  Tag(s):

  Old Bailey Online

  
  

• The Positive Disruptive Potential of Deepfakes and Synthetic Data 

  Author(s):

  Aaron Tucker (see profile)

  Date:

  2021

  Group(s):

  CSDH-SCHN 2021: Making the Network

  Subject(s):

  Machine learning, Open access

  Item Type:

  Conference proceeding

  Tag(s):

  Deepfakes, facial recognition, Open Acces, synthetic data

  
  

• Possible ethics on machine learning biases and their impacts in future prospects

  Author(s):

  Marley Oliveira Bacelar (see profile)

  Date:

  2021

  Subject(s):

  Ethics, Machine learning

  Item Type:

  Article

  
  

• Monitoring bias and fairness in machine learning models: A review

  Author(s):

  Marley Oliveira Bacelar (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Article

  Tag(s):

  Bias, Mchine learning

  
  

• Data and the Human

  Author(s):

  Paul Fyfe (see profile)

  Date:

  2020

  Group(s):

  TC Digital Humanities

  Subject(s):

  Data science, Data visualization, Artificial intelligence, Machine learning, Social media

  Item Type:

  Syllabus

  Tag(s):

  Data, syllabus, data literacy

  
  

• Programmatic Dreams: Technographic Inquiry into Censorship of Chinese Chatbots

  Author(s):

  Yizhou Xu (see profile)

  Date:

  2018

  Group(s):

  Digital Humanities East Asia

  Subject(s):

  Artificial intelligence, Censorship, China, Machine learning, New media

  Item Type:

  Article

  Tag(s):

  chatbots, technography

  
  

• Excavating 'Excavating AI': The Elephant in the Gallery

  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, Artificial intelligence, Critical data studies, Information ethics, Machine learning, Theories of affect

  Item Type:

  Article

  Tag(s):

  data ethics, dataset, digital ethics

  
  

• Identifying Textual Clusters with Non-negative Matrix Factorization (Slides)

  Author(s):

  Joey McCollum (see profile)

  Date:

  2020

  Group(s):

  New Testament

  Subject(s):

  Machine learning, New Testament textual criticism

  Item Type:

  Presentation

  
  

• Compounded Mediation: A Data Archaeology of the Newspaper Navigator Dataset

  Author(s):

  Benjamin Lee (see profile)

  Date:

  2020

  Subject(s):

  Critical data studies, Digital humanities, Digital libraries, Machine learning, Science and technology studies (STS)

  Item Type:

  Article

  Tag(s):

  Chronicling America, data archaeology, digitized newspapers, library of congress, Newspaper Navigator

  
  

• Training Algorithms to Read Complex Collections: Handwriting Classification for Improved HTR Models

  Author(s):

  Bhagawat Acharya, Katherine Faull, Brian King, CARRIE PIRMANN (see profile)

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Artificial intelligence, Digital humanities research and methodology, Machine learning, Text transcription

  Item Type:

  Conference paper

  
  

• Deep Learning based Attribute Representation in Ancient Vase Paintings

  Author(s):

  Torsten Bendschus, Prathmesh Madhu (see profile)

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Classical archaeology, Computer vision, Machine learning

  Item Type:

  Video

  Tag(s):

  deep learning, greek vases, scene understanding

  
  

• Deep Learning Based Attribute Representation in Ancient Vase Paintings

  Author(s):

  Torsten Bendschus, Prathmesh Madhu (see profile)

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Classical archaeology, Computer vision, Greek, Machine learning, Narrative

  Item Type:

  Conference proceeding

  Tag(s):

  deep learning, vases

  
  

• AI 4 AV (Artificial Intelligence for Audiovisual): Design and Evaluation of a Shared System for Libraries, Archives and Museums (LAMs)

  Author(s):

  Aaron Choate, Tanya Clement, Maria Esteva (see profile) , Ruizhu Huang, Hannah Robbins-Hopkins, Weijia Xu

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Archives, Artificial intelligence, High-performance computing, Machine learning

  Item Type:

  Presentation

  Tag(s):

  audiovisual, Descriptive metadata standards, Las Historias, storyCorps, Transcriptions

  
  

• When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks

  Author(s):

  Wei-Ting Chang, Chang-Ting Chu, CHAO-LIN LIU (see profile) , Ti-Yong Zheng

  Date:

  2020

  Group(s):

  DH2020, Digital Humanists

  Subject(s):

  Artificial intelligence, Chinese studies, Digital humanities, Digital humanities research and methodology, Machine learning, Natural language processing

  Item Type:

  Video

  Tag(s):

  deep learning, explainable artificial intelligence, information extraction, text mining

  
  

• Semi-Automatic Identification of Travelogues

  Author(s):

  Doris Gruber, Martin Krickl, Jan Rörden (see profile) , Rainer Simon

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Corpus, Digital humanities, Machine learning, Travel

  Item Type:

  Presentation

  
  

• Computation and Rhetorical Invention: Finding Things to Say With word2vec

  Author(s):

  Mark B. Wolff (see profile)

  Date:

  2019

  Group(s):

  DH2020, Digital Humanists, Digital Pedagogy

  Subject(s):

  Computational lingustics, Computers in literary instruction, Electronic literature, Machine learning

  Item Type:

  Abstract

  Tag(s):

  rhetorical invention, word2vec

  
  

• The GeoNewsMiner: An interactive spatial humanities tool to visualize geographical references in historical newspapers

  Author(s):

  Lorella Viola (see profile) , Jaap Verheul

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Identity, Immigrant literature, Machine learning, Transatlantic studies

  Item Type:

  Presentation

  Tag(s):

  NER, Transparency

  
  

• Evaluating a Machine Learning Approach to Identifying Expressive Content at Page Level in HathiTrust

  Author(s):

  NIKOLAUS PARULIAN (see profile)

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Digital libraries, Machine learning, Natural language processing

  Item Type:

  Conference proceeding

  
  

• A comparison of top-down and bottom-up approaches to recognizing component assemblies in image mining electronic circuits

  Author(s):

  William J Turkel (see profile) , Zain Sirohey

  Date:

  2020

  Group(s):

  CSDH-SCHN 2020

  Subject(s):

  Computer vision, Digital humanities research and methodology, Electronic resources, Images, Machine learning

  Item Type:

  Presentation

  
  

• Machine Learning and Human Perspective

  Author(s):

  Ted Underwood (see profile)

  Date:

  2020

  Group(s):

  2020 MLA Convention, Digital Humanists, GS Speculative Fiction, TC Digital Humanities

  Subject(s):

  Machine learning, Hermeneutics, Speculative fiction, Science fiction, Fantasy, Digital humanities

  Item Type:

  Article

  Tag(s):

  distant reading

  
  

• What do you mean? Research in the Age of Machines

  Author(s):

  Arthur Boston (see profile)

  Date:

  2019

  Group(s):

  Library & Information Science

  Subject(s):

  Machine learning, Artificial intelligence, Library and information science, Bibliometrics

  Item Type:

  Essay

  
  

• Towards unsupervised extraction of linguistic typological features from language descriptions

  Author(s):

  Taraka Rama, Søren Wichmann (see profile)

  Date:

  2019

  Subject(s):

  Language typology, Machine learning

  Item Type:

  Conference paper

  Tag(s):

  information extraction, NLP, WALS

  
  

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