Photogrammar: Organizing Visual Culture through Geography, Text Mining, and Statistical Analysis. - Lauren Tilton; Peter Leonard; Taylor B. Arnold (DH, 2014)

Introduction to Natural Language Processing. - Lauren Tilton; Taylor B. Arnold (DH, 2016)

Photogrammar. - Lauren Tilton; Taylor B. Arnold; Peter Leonard (DH, 2016)

Distant Seeing TV. - Taylor B. Arnold; Lauren Craig Tilton (DH, 2017)

Mapping 20th Century America. - Lauren Tilton; Taylor B. Arnold; Jason Heppler; Robert K. Nelson (DH, 2017)

Uncovering Latent Metadata in the FSA-OWI Photographic Archive. - Taylor B. Arnold; Stacey Maples; Lauren Tilton; Laura Wexler (Digit. Humanit. Q., 2017)

Knowledge creation through recommender systems. - Taylor B. Arnold; Peter Leonard; Lauren Tilton (Digit. Scholarsh. Humanit., 2017)

Distant Viewing with Deep Learning: An Introduction to Analyzing Large Corpora of Images. - Taylor Baillie Arnold; Lauren Craig Tilton (DH, 2018)

Locating Place Names at Scale: Using Natural Language Processing to Identify Geographical Information in Text. - Lauren Tilton; Taylor B. Arnold; Courtney J. Rivard (DH, 2018)

Computer Vision in DH. - Lauren Tilton; Taylor B. Arnold; Thomas Smits; Melvin Wevers; Mark Williams; Lorenzo Torresani; Maksim Bolonkin; John Bell; Dimitrios Latsis (DH, 2018)

Cross-Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm. - Taylor B. Arnold; Lauren Tilton (LaTeCH@COLING, 2018)

Building Pedagogy into Project Development: Making Data Construction Visible in Digital Projects. - Courtney J. Rivard; Taylor B. Arnold; Lauren Tilton (Digit. Humanit. Q., 2019)

Distant viewing: analyzing large visual corpora. - Taylor B. Arnold; Lauren Tilton (Digit. Scholarsh. Humanit., 2019)

Beyond lexical frequencies: using R for text analysis in the digital humanities. - Taylor B. Arnold; Nicolas Ballier; Paula Lissón; Lauren Tilton (Lang. Resour. Evaluation, 2019)

Understanding Depth in Deep Learning: Knowledgeable, Layered, Impenetrable. - Taylor B. Arnold; Lauren Tilton (DH, 2020)

Taking a Visual Turn in DH. - Lauren Tilton (DH, 2020)

Distant Viewing Toolkit: Software for the Analysis of Visual Culture. - Lauren Tilton; Taylor B. Arnold (DH, 2020)

Visualizing a Large Spatiotemporal Collection of Historic Photography with a Generous Interface. - Taylor B. Arnold; Nathaniel Ayers; Justin Madron; Robert K. Nelson; Lauren Tilton (CoRR, 2020)

Distant Viewing Toolkit: A Python Package for the Analysis of Visual Culture. - Taylor B. Arnold; Lauren Tilton (J. Open Source Softw., 2020)

Introduction: Special Issue on AudioVisual Data in DH. - Taylor B. Arnold; Stefania Scagliola; Lauren Tilton; Jasmijn van Gorp (Digit. Humanit. Q., 2021)

Automatic Identification and Classification of Portraits in a Corpus of Historical Photographs. - Taylor B. Arnold; Lauren Tilton; Justin Wigard (CHR, 2022)

Access & Discovery of Documentary Images (ADDI): A Platform for the Exploration and Critique of Computer Vision Algorithms. - Taylor B. Arnold; Lauren Tilton (DH, 2023)

Legal Issues in Digital Humanities: Analysis of Recent Advocacy and Continuing and Emerging Issues. - Erik Ketzan; Kim Nayyer; Quinn Dombrowski; Lauren Tilton; Koenraad De Smedt; Pawel Kamocki; Benito Trollip; Kiyonori Nagasaki (DH, 2023)

What Counts? Digital Humanities Pedagogy Seminars as Teaching. - Crystal Hall; Lauren Tilton; Griffin Ng (Digit. Humanit. Q., 2023)

Automated Image Color Mapping for a Historic Photographic Collection. - Taylor B. Arnold; Lauren Tilton (CHR, 2024)

Explainable Search and Discovery of Visual Cultural Heritage Collections with Multimodal Large Language Models. - Taylor B. Arnold; Lauren Tilton (CHR, 2024)

Distant viewing archives. - Lauren Tilton; Taylor B. Arnold (Navigating Artificial Intelligence for Cultural Heritage Organisations, 2025)

Provocations from the Humanities for Generative AI Research. - Lauren F. Klein; Meredith Martin; André Brock; Maria Antoniak; Melanie Walsh; Jessica Marie Johnson; Lauren Tilton; David Mimno (CoRR, 2025)

Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory. - Srishti Yadav; Lauren Tilton; Maria Antoniak; Taylor Arnold; Jiaang Li 002; Siddhesh Pawar; Antonia Karamolegkou; Stella Frank; Zhaochong An; Negar Rostamzadeh; Daniel Hershcovich; Serge J. Belongie; et al. (CoRR, 2025)