| SpaRCS: Recovering low-rank and sparse matrices from compressive measurements A Waters, A Sankaranarayanan, R Baraniuk Advances in neural information processing systems 24, 2011 | 274 | 2011 |
| Sparse factor analysis for learning and content analytics AS Lan, AE Waters, C Studer, RG Baraniuk The Journal of Machine Learning Research 15 (1), 1959-2008, 2014 | 194 | 2014 |
| Do open educational resources improve student learning? Implications of the access hypothesis PJ Grimaldi, D Basu Mallick, AE Waters, RG Baraniuk PloS one 14 (3), e0212508, 2019 | 120 | 2019 |
| QG-net: a data-driven question generation model for educational content Z Wang, AS Lan, W Nie, AE Waters, PJ Grimaldi, RG Baraniuk Proceedings of the fifth annual ACM conference on learning at scale, 1-10, 2018 | 101 | 2018 |
| Sparse factor analysis for analysis of user content preferences RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent 9,704,102, 2017 | 95 | 2017 |
| Mathematical language processing: Automatic grading and feedback for open response mathematical questions AS Lan, D Vats, AE Waters, RG Baraniuk Proceedings of the second (2015) ACM conference on learning@ scale, 167-176, 2015 | 77 | 2015 |
| qdkt: Question-centric deep knowledge tracing S Sonkar, AE Waters, AS Lan, PJ Grimaldi, RG Baraniuk arXiv preprint arXiv:2005.12442, 2020 | 48 | 2020 |
| Sparse Factor Analysis for Learning Analytics and Content Analytics RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent App. 14/214,835, 2014 | 35 | 2014 |
| BayesRank: A Bayesian approach to ranked peer grading AE Waters, D Tinapple, RG Baraniuk Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 177-183, 2015 | 29 | 2015 |
| Tag-aware ordinal sparse factor analysis for learning and content analytics AS Lan, C Studer, AE Waters, RG Baraniuk arXiv preprint arXiv:1412.5967, 2014 | 24 | 2014 |
| Sparse factor analysis for learning and content analytics AS Lan, AE Waters, C Studer, RG Baraniuk arXiv preprint arXiv:1303.5685, 2013 | 22 | 2013 |
| A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading. Z Wang, AS Lan, AE Waters, P Grimaldi, RG Baraniuk EDM, 2019 | 19 | 2019 |
| Attention word embedding S Sonkar, AE Waters, RG Baraniuk arXiv preprint arXiv:2006.00988, 2020 | 16 | 2020 |
| Collaboration-type identification in educational datasets AE Waters, C Studer, RG Baraniuk Journal of Educational Data Mining 6 (1), 28-52, 2014 | 12 | 2014 |
| Compressive sense based reconstruction algorithm for non-uniform sampling based data converter CK Sestok, A Waters US Patent 8,547,260, 2013 | 12 | 2013 |
| Distributed bearing estimation via matrix completion A Waters, V Cevher 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 11 | 2010 |
| Joint topic modeling and factor analysis of textual information and graded response data AS Lan, C Studer, AE Waters, RG Baraniuk arXiv preprint arXiv:1305.1956, 2013 | 9 | 2013 |
| Bayesian pairwise collaboration detection in educational datasets AE Waters, C Studer, RG Baraniuk 2013 IEEE Global Conference on Signal and Information Processing, 989-992, 2013 | 8 | 2013 |
| BLAh: boolean logic analysis for graded student response data AS Lan, AE Waters, C Studer, RG Baraniuk IEEE Journal of Selected Topics in Signal Processing 11 (5), 754-764, 2017 | 6 | 2017 |
| A Bayesian infinite factor model for learning and content analytics K Fronczyk, AE Waters, M Guindani, RG Baraniuk, M Vannucci Computational Statistics and Data Analysis, 2013 | 6 | 2013 |
