SpaRCS: Recovering low-rank and sparse matrices from compressive measurements AE Waters, AC Sankaranarayanan, R Baraniuk Advances in neural information processing systems, 1089-1097, 2011 | 224 | 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 | 136 | 2014 |
Sparse factor analysis for analysis of user content preferences RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent 9,704,102, 2017 | 49 | 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 | 35 | 2015 |
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 | 32 | 2019 |
Sparse Factor Analysis for Learning Analytics and Content Analytics RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent App. 14/214,835, 2014 | 25 | 2014 |
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 | 21 | 2014 |
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 | 20 | 2018 |
Sparse factor analysis for learning and content analytics AS Lan, AE Waters, C Studer, RG Baraniuk arXiv preprint arXiv:1303.5685, 2013 | 17 | 2013 |
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 | 15 | 2015 |
Compressive sense based reconstruction algorithm for non-uniform sampling based data converter CK Sestok, A Waters US Patent 8,547,260, 2013 | 12 | 2013 |
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 | 11 | 2013 |
Collaboration-Type Identification in Educational Datasets. A Waters, C Studer, R Baraniuk Journal of Educational Data Mining 6 (1), 28-52, 2014 | 10 | 2014 |
Distributed bearing estimation via matrix completion A Waters, V Cevher 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 10 | 2010 |
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 |
A Bayesian nonparametric approach for the analysis of multiple categorical item responses A Waters, K Fronczyk, M Guindani, RG Baraniuk, M Vannucci Journal of statistical planning and inference 166, 52-66, 2015 | 5 | 2015 |
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 | 5 | 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 | 5 | 2013 |
Learning analytics via sparse factor analysis AE Waters, A Lan, C Studer, RG Baraniuk Personalizing education with machine learning, nips 2012 workshop, 2012 | 4 | 2012 |
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 | 3 | 2017 |