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Chelsea M. Parlett Pelleriti
Chelsea M. Parlett Pelleriti
Verified email at chapman.edu
Title
Cited by
Cited by
Year
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
1952019
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
492017
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
272023
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
262020
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
192019
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
112019
& Zordan, V.(2017). The benefits and challenges of implementing motivational features to boost cognitive training outcome
S Mohammed, L Flores, J Deveau, RC Hoffing, C Phung, CM Parlett
Journal of Cognitive Enhancement 1 (4), 491-507, 0
11
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
92020
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
62021
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
42020
Towards QoS-Based Embedded Machine Learning
T Springer, E Linstead, P Zhao, C Parlett-Pelleriti
Electronics 11 (19), 3204, 2022
22022
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
12019
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 Machine Learning Approach.
S Mohammed, B Katz, C Parlett, M Buschkuehl, SM Jaeggi
CogSci, 2017
2017
LAW JOURNAL
A Gharakhanian, CY Larmore, C Parlett-Pelleriti
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Articles 1–16