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ERIK LINSTEAD
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Name
Affiliation
Papers
ERIK LINSTEAD
Department of Computer Science University of California, Irvine, USA
33
Collaborators
Citations
PageRank
77
360
27.44
Referers
Referees
References
846
442
193
Search Limit
100
846
Publications (33 rows)
Collaborators (77 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election
0
0.34
2022
Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects
1
0.39
2020
Predicting eye movement and fixation patterns on scenic images using Machine Learning for Children with Autism Spectrum Disorder.
0
0.34
2020
Modeling Topic Exhaustion for Programming Languages on StackOverflow (IPA).
0
0.34
2020
Do Experienced Programmers put too Much Confidence in Comments? (S).
0
0.34
2020
Learning in the Machine: To Share or Not to Share?
1
0.36
2020
Exploring the Eating Disorder Examination Questionnaire, Clinical Impairment Assessment, and Autism Quotient to Identify Eating Disorder Vulnerability: A Cluster Analysis.
0
0.34
2020
Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning
0
0.34
2019
Exploring the applicability of low-shot learning in mining software repositories.
0
0.34
2019
Paper Prototyping Comfortable VR Play for Diverse Sensory Needs.
0
0.34
2019
Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder.
0
0.34
2019
Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers.
0
0.34
2019
Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning
2
0.37
2019
Exploring the relationship of digital information sources and medication adherence.
0
0.34
2019
vrSocial: Toward Immersive Therapeutic VR Systems for Children with Autism
3
0.37
2018
Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean.
0
0.34
2018
Learning lexical features of programming languages from imagery using convolutional neural networks.
4
0.38
2018
Predicting Employer Recruitment Of Individuals With Autism Spectrum Disorders With Decision Trees
0
0.34
2018
A deep learning approach to identifying source code in images and video.
7
0.60
2018
A topic analysis of the R programming language.
0
0.34
2018
A time series analysis of TravisTorrent builds: to everything there is a season.
3
0.37
2017
Detection and tracking of T cells in time-lapse imaging
0
0.34
2015
An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder
1
0.37
2015
Information-Theoretic Metrics For Project-Level Scattering And Tangling
0
0.34
2010
Sourcerer: mining and searching internet-scale software repositories
53
2.18
2009
SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects
16
1.40
2009
Mining the coherence of GNOME bug reports with statistical topic models
18
0.92
2009
An Application of Latent Dirichlet Allocation to Analyzing Software Evolution
17
0.97
2008
Mining Internet-Scale Software Repositories
13
0.79
2007
Mining concepts from code with probabilistic topic models
44
2.00
2007
Mining Eclipse Developer Contributions via Author-Topic Models
30
1.64
2007
ChemDB update—full-text search and virtual chemical space
29
1.77
2007
Sourcerer: a search engine for open source code supporting structure-based search
118
7.14
2006
1