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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
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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