Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective. - Dimitris Paraschakis; Bengt J. Nilsson; John Hollander (ICMLA, 2015)

Vertical directionality ratings as lexical norms for English verbs. - John Hollander; Andrew Olney (CogSci, 2021)

How Item and Learner Characteristics Matter in Intelligent Tutoring Systems Data. - John Hollander; John Sabatini 001; Art Graesser (AIED (2), 2022)

Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. - Mahbubul Hasan; Lih-Yuan Deng; John Sabatini 001; Dale Bowman; Ching-Chi Yang; John Hollander (EDM, 2022)

Using Simple Text Mining Tools to Power an Intelligent Learning System for Lengthy, Domain Specific Texts. - John Sabatini 001; John Hollander (AIED (Posters/Late Breaking Results/...), 2023)

The spatial role of verbs in embodied language processing. - John Hollander; Andrew Olney (CogSci, 2023)

A framework of literacy development and how AI can transform theory and practice. - John Sabatini 001; Arthur C. Graesser; John Hollander; Tenaha O'Reilly (Br. J. Educ. Technol., 2023)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. - Liang Zhang; Jionghao Lin; Conrad Borchers; John Sabatini 001; John Hollander; Meng Cao; Xiangen Hu (HCI (44), 2024)

Raising the Roof: Situating Verbs in Symbolic and Embodied Language Processing. - John Hollander; Andrew Olney (Cogn. Sci., 2024)

Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty. - Yoshee Jain; John Hollander; Amber He; Sunny Tang; Liang Zhang; John Sabatini 001 (HCI (47), 2025)

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. - Liang Zhang; Jionghao Lin; John Sabatini 001; Conrad Borchers; Daniel Weitekamp III; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser (IEEE Trans. Learn. Technol., 2025)

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks. - Liang Zhang; Jionghao Lin; John Sabatini 001; Diego Zapata-Rivera; Carol Forsyth; Yang Jiang; John Hollander; Xiangen Hu; Arthur C. Graesser (CoRR, 2025)