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• 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):

  Jaap Verheul, Lorella Viola (see profile)

  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

  
  

• Enjoy the silence: how library services relate to visual culture in the 21st Century

  Author(s):

  Gordon Edison McQueen (see profile)

  Date:

  2018

  Group(s):

  CityLIS, Library & Information Science

  Subject(s):

  Library science, Visual culture, Information literacy, 21st-century digital culture, Video games, Machine learning

  Item Type:

  Essay

  Tag(s):

  library services, holography, augmented reality

  
  

• Minerva and Virgil - a program (Notes on Karpathy et al. 2014)

  Author(s):

  Camille Akmut (see profile)

  Date:

  2019

  Subject(s):

  Computer science, Philosophy, Artificial intelligence, Computer vision, Machine learning

  Item Type:

  Article

  Tag(s):

  visual recognition

  
  

• Resisting the Machine: Learning a New Method

  Author(s):

  Grant Glass (see profile)

  Date:

  2019

  Group(s):

  2019 MLA Convention

  Subject(s):

  Machine learning

  Item Type:

  Conference paper

  
  

• Engagement-Based Customer Segmentation for Online Social Services: The Role of a Kernelized Clustering Approach

  Author(s):

  Daniel Asamoah, Derek Doran, Nripesh Trivedi (see profile)

  Date:

  2018

  Subject(s):

  Data science, Machine learning, Statistics

  Item Type:

  Presentation

  
  

• The Transformation of Gender in English-Language Fiction

  Author(s):

  David Bamman, Sabrina Lee, Ted Underwood (see profile)

  Date:

  2018

  Group(s):

  Digital Humanists, Linguistics, Sociology, Victorian Studies

  Subject(s):

  Fiction, Characters, Machine learning, Gender, Digital humanities, Natural language processing, 19th century, 20th century

  Item Type:

  Article

  Tag(s):

  Cultural analytics

  
  

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