Classification with the sparse group lasso N Rao, R Nowak, C Cox, T Rogers IEEE Transactions on Signal Processing 64 (2), 448-463, 2015 | 92 | 2015 |
Sparse overlapping sets lasso for multitask learning and its application to fMRI analysis N Rao, C Cox, R Nowak, TT Rogers Advances in neural information processing systems 26, 2013 | 82 | 2013 |
Perceptual learning generalization from sequential perceptual training as a change in learning rate F Kattner, A Cochrane, CR Cox, TE Gorman, CS Green Current Biology 27 (6), 840-846, 2017 | 60 | 2017 |
Validating digital phenotyping technologies for clinical use: the critical importance of “resolution” AS Cohen, E Schwartz, T Le, T Cowan, C Cox, R Tucker, P Foltz, ... World Psychiatry 19 (1), 114, 2020 | 51 | 2020 |
Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex TT Rogers, CR Cox, Q Lu, A Shimotake, T Kikuchi, T Kunieda, ... elife 10, e66276, 2021 | 36 | 2021 |
Machine learning for suicidology: A practical review of exploratory and hypothesis-driven approaches CR Cox, EH Moscardini, AS Cohen, RP Tucker Clinical Psychology Review 82, 101940, 2020 | 34 | 2020 |
Representational similarity learning with application to brain networks U Oswal, C Cox, M Lambon-Ralph, T Rogers, R Nowak International Conference on Machine Learning, 1041-1049, 2016 | 29 | 2016 |
Characterizing the early vocabulary profiles of preverbal and minimally verbal children with autism spectrum disorder E Haebig, E Jiménez, CR Cox, TT Hills Autism 25 (4), 958-970, 2021 | 27 | 2021 |
Connecting functional brain imaging and Parallel Distributed Processing CR Cox, MS Seidenberg, TT Rogers Language, Cognition and Neuroscience 30 (4), 380-394, 2015 | 26 | 2015 |
Digital phenotyping using multimodal data AS Cohen, CR Cox, MD Masucci, TP Le, T Cowan, LM Coghill, ... Current behavioral neuroscience reports 7, 212-220, 2020 | 25 | 2020 |
Decoding semantic representations in mind and brain SL Frisby, AD Halai, CR Cox, MAL Ralph, TT Rogers Trends in cognitive sciences 27 (3), 258-281, 2023 | 23 | 2023 |
Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia AS Cohen, CR Cox, TP Le, T Cowan, MD Masucci, GP Strauss, ... npj Schizophrenia 6 (1), 26, 2020 | 23 | 2020 |
Improving whole-brain neural decoding of fmri with domain adaptation S Zhou, CR Cox, H Lu International workshop on machine learning in medical imaging, 265-273, 2019 | 14 | 2019 |
Classification with sparse overlapping groups N Rao, R Nowak, C Cox, T Rogers arXiv preprint arXiv:1402.4512, 2014 | 11 | 2014 |
Side information dependence as a regularizer for analyzing human brain conditions across cognitive experiments S Zhou, W Li, C Cox, H Lu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6957-6964, 2020 | 10 | 2020 |
Transfer in rule-based category learning depends on the training task F Kattner, CR Cox, CS Green PloS one 11 (10), e0165260, 2016 | 10 | 2016 |
Child-oriented word associations improve models of early word learning CR Cox, E Haebig Behavior research methods 55 (1), 16-37, 2023 | 8 | 2023 |
Finding distributed needles in neural haystacks CR Cox, TT Rogers Journal of Neuroscience 41 (5), 1019-1032, 2021 | 8 | 2021 |
Using in vivo functional and structural connectivity to predict chronic stroke aphasia deficits Y Zhao, CR Cox, MA Lambon Ralph, AD Halai Brain 146 (5), 1950-1962, 2023 | 4 | 2023 |
Evidence for a deep, distributed and dynamic semantic code in human ventral anterior temporal cortex TT Rogers, C Cox, Q Lu, A Shimotake, T Kikuch, T Kunieda, S Miyamoto, ... bioRxiv, 695049, 2019 | 4 | 2019 |