| Applications of supervised machine learning in autism spectrum disorder research: a review KK Hyde, MN Novack, N LaHaye, C Parlett-Pelleriti, R Anden, DR Dixon, ... Review Journal of Autism and Developmental Disorders 6, 128-146, 2019 | 231 | 2019 |
| The benefits and challenges of implementing motivational features to boost cognitive training outcome S Mohammed, L Flores, J Deveau, R Cohen Hoffing, C Phung, ... Journal of Cognitive Enhancement 1, 491-507, 2017 | 61 | 2017 |
| Applications of unsupervised machine learning in autism spectrum disorder research: a review CM Parlett-Pelleriti, E Stevens, D Dixon, EJ Linstead Review Journal of Autism and Developmental Disorders 10 (3), 406-421, 2023 | 49 | 2023 |
| Investigating the effects of spacing on working memory training outcome: A randomized, controlled, multisite trial in older adults SM Jaeggi, M Buschkuehl, CM Parlett-Pelleriti, SM Moon, M Evans, ... The Journals of Gerontology: Series B 75 (6), 1181-1192, 2020 | 30 | 2020 |
| Exploring the relationship of digital information sources and medication adherence EL Cody Arbuckle, Daniel Tomaszewski, Lawrence Brown, Jon Schommer, Donald ... Computers in Biology and Medicine, 2019 | 24 | 2019 |
| Achieving Externship Success: An Empirical Study of the All-Important Law School Externship Experience A Gharakhanian, CY Larmore, C Parlett-Pelleriti S. Ill. ULJ 45, 165, 2020 | 14 | 2020 |
| Exploring age-related metamemory differences using modified brier scores and hierarchical clustering C Parlett-Pelleriti, GC Lin, MR Jones, E Linstead, SM Jaeggi Open psychology 1 (1), 215-238, 2019 | 14 | 2019 |
| Unsupervised machine learning for identifying challenging behavior profiles to explore cluster-based treatment efficacy in children with autism spectrum disorder: retrospective … J Gardner-Hoag, M Novack, C Parlett-Pelleriti, E Stevens, D Dixon, ... JMIR Medical Informatics 9 (6), e27793, 2021 | 8 | 2021 |
| Cheating death: A statistical survival analysis of publicly available python projects RH Ali, C Parlett-Pelleriti, E Linstead Proceedings of the 17th International Conference on Mining Software …, 2020 | 6 | 2020 |
| Towards QoS-Based Embedded Machine Learning T Springer, E Linstead, P Zhao, C Parlett-Pelleriti Electronics 11 (19), 3204, 2022 | 4 | 2022 |
| I bet I’ll remember “biochemistry”–Meta-memory as a function of lexical features and language background GC Lin, RN Smith, C Parlett-Pelleriti, MR Jones, SM Jaeggi | 1 | 2019 |
| Learn How To Communicate Science Through Humor: Comedy, Cartoons, and Social Posts S Yeo, J McDermott, A Becker, K Patel, C Parlett-Pelleriti 2024 AAAS Annual Meeting, 2024 | | 2024 |
| Towards QoS-Based Embedded Machine Learning. Electronics 2022, 11, 3204 T Springer, E Linstead, P Zhao, C Parlett-Pelleriti s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022 | | 2022 |
| A Hierarchical Bayesian IRT Analysis of Children’s Risk Propensity C Parlett-Pelleriti, EJ Linstead, ES Sumner, HQ Nguyen, R Stokes, ... 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | | 2020 |
| Predicting Individual Differences in Working Memory Training Gain: A MachineLearning Approach S Mohammed, B Katz, C Parlett, M Buschkuehl, S Jaeggi Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017 | | 2017 |
| LAW JOURNAL A Gharakhanian, CY Larmore, C Parlett-Pelleriti | | |