Erik Linstead

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 39

Top Topics

Mining Software Repositories

Cluster Analysis

Autism Spectrum Disorder

Top Venues

Publications

Rao Hamza Ali, Katie Rhodeghiero, Alexa Zuch, Saniya Syed, Erik Linstead
An Application of Neural Embedding Models for Representing Artistic Periods. EvoMUSART (2022)
Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead
An Application of Document Embeddings to Identifying Challenging Behaviors in Autism Spectrum Disorder From Clinical Notes. ICMLA (2022)
Sachi Perera, Mohamed Allali, Erik Linstead, Hesham M. El-Askary
Deriving Drought Vulnerability Index using Geographically Weighted Principal Component Analysis (GWPCA) and K-Means Clustering for Nile Basin. IGARSS (2022)
Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead
Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings. ICMLA (2021)
Sachi Perera, Mohamed Allali, Erik Linstead, Hesham M. El-Askary
Landuse Landcover Change Detection in the Mediterranean Region Using a Siamese Neural Network and Image Processing. IGARSS (2021)
Nicholas LaHaye, Michael J. Garay, Brian D. Bue, Hesham M. El-Askary, Erik Linstead
A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking. Remote. Sens. 13 (12) (2021)
Hesham M. El-Askary, Amr Fawzy, Rejoice Thomas, Wenzhao Li, Nicholas LaHaye, Erik Linstead, Thomas C. Piechota, Daniele C. Struppa, Mohamed Abdelaty Sayed
Assessing the Vertical Displacement of the Grand Ethiopian Renaissance Dam during Its Filling Using DInSAR Technology and Its Potential Acute Consequences on the Downstream Countries. Remote. Sens. 13 (21) (2021)
Rao Hamza Ali, Chelsea Parlett-Pelleriti, Erik Linstead
Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects. MSR (2020)
Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. CoRR (2020)
Rao Hamza Ali, Erik Linstead
Modeling Topic Exhaustion for Programming Languages on StackOverflow. SEKE (2020)
Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
Learning in the machine: To share or not to share? Neural Networks 126 (2020)
Natalia Stewart Rosenfield, Erik Linstead
Exploring the Eating Disorder Examination Questionnaire, Clinical Impairment Assessment, and Autism Quotient to Identify Eating Disorder Vulnerability: A Cluster Analysis. Mach. Learn. Knowl. Extr. 2 (3) (2020)
Natalie Best, Jordan Ott, Erik Linstead
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. CoRR (2020)
Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. Sci. Program. 2020 (2020)
Elia Eiroa-Lledo, Abby Bechtel, Emily Daskas, Lily Foster, Raha Pirzadeh, Katie Rodeghiero, Erik Linstead
Do Experienced Programmers put too Much Confidence in Comments? SEKE (2020)
Natalie Best, Jordan Ott, Erik Linstead
Exploring the efficacy of transfer learning in mining image-based software artifacts. J. Big Data 7 (1) (2020)
Adrienne Bergh, Paul Harnack, Abigail Atchison, Jordan Ott, Elia Eiroa-Lledo, Erik Linstead
A Curated Set of Labeled Code Tutorial Images for Deep Learning. ICMLA (2020)
Rao Hamza Ali, Josh Graves, Stanley Wu, Jenny Lee, Erik Linstead
A Machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data. ISPRS Int. J. Geo Inf. 9 (7) (2020)
Raymond Anden, Erik Linstead
Predicting eye movement and fixation patterns on scenic images using Machine Learning for Children with Autism Spectrum Disorder. BIBM (2020)
Sachi Perera, Wenzhao Li, Erik Linstead, Hesham M. El-Askary
Forecasting Vegetation Health in the MENA Region by Predicting Vegetation Indicators with Machine Learning Models. IGARSS (2020)
Cody L. Arbuckle, Daniel Tomaszewski, Lawrence Brown, Jon Schommer, Donald Morisky, Chelsea Parlett-Pelleriti, Erik Linstead
Exploring the relationship of digital information sources and medication adherence. Comput. Biol. Medicine 109 (2019)
Jordan Ott, Abigail Atchison, Erik Linstead
Exploring the applicability of low-shot learning in mining software repositories. J. Big Data 6 (2019)
Nicholas LaHaye, Jordan Ott, Michael J. Garay, Hesham Mohamed El-Askary, Erik Linstead
Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (8) (2019)
Louanne E. Boyd, Kendra Day, Ben Wasserman, Kaitlyn Abdo, Gillian R. Hayes, Erik Linstead
Paper Prototyping Comfortable VR Play for Diverse Sensory Needs. CHI Extended Abstracts (2019)
Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
Learning in the Machine: To Share or Not to Share? CoRR (2019)
Natalia Stewart Rosenfield, Kathleen Lamkin, Jennifer Re, Kendra Day, Louanne E. Boyd, Erik Linstead
A Virtual Reality System for Practicing Conversation Skills for Children with Autism. Multimodal Technol. Interact. 3 (2) (2019)
Elizabeth Stevens, Dennis Dixon, Marlena Novack, Doreen Granpeesheh, Tristram H. Smith, Erik Linstead
Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning. Int. J. Medical Informatics 129 (2019)
Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Sneha Mathur, Erik Linstead
Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder. ICMLA (2019)
Justin J. Gapper, Hesham M. El-Askary, Erik Linstead, Thomas C. Piechota
Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers. Remote. Sens. 11 (13) (2019)
LouAnne E. Boyd, Saumya Gupta, Sagar B. Vikmani, Carlos M. Gutierrez, Junxiang Yang, Erik Linstead, Gillian R. Hayes
vrSocial: Toward Immersive Therapeutic VR Systems for Children with Autism. CHI (2018)
Justin J. Gapper, Hesham M. El-Askary, Erik Linstead, Thomas C. Piechota
Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean. Remote. Sens. 10 (11) (2018)
Jordan Ott, Abigail Atchison, Paul Harnack, Natalie Best, Haley Anderson, Cristiano Firmani, Erik Linstead
Learning lexical features of programming languages from imagery using convolutional neural networks. ICPC (2018)
Tom Springer, Erik Linstead
Adaptive QoS-Based Resource Management Framework for IoT/Edge Computing. UEMCON (2018)
Abigail Atchison, Haley Anderson, Christina Berardi, Natalie Best, Cristiano Firmani, Rene German, Erik Linstead
A topic analysis of the R programming language. ICSE (Companion Volume) (2018)
Jordan Ott, Abigail Atchison, Paul Harnack, Adrienne Bergh, Erik Linstead
A deep learning approach to identifying source code in images and video. MSR (2018)
Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Erik Linstead
Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees. ICMLA (2018)
Abigail Atchison, Christina Berardi, Natalie Best, Elizabeth Stevens, Erik Linstead
A time series analysis of TravisTorrent builds: to everything there is a season. MSR (2017)
Elizabeth Stevens, Abigail Atchison, Laura Stevens, Esther Hong, Doreen Granpeesheh, Dennis Dixon, Erik Linstead
A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder. ICMLA (2017)
Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler
AMP: A platform for managing and mining data in the treatment of Autism Spectrum Disorder. EMBC (2016)
Cody L. Arbuckle, Milton L. Greenberg, Erik Linstead
Detection and tracking of T cells in time-lapse imaging. BCB (2015)
Erik Linstead, Rene German, Dennis Dixon, Doreen Granpeesheh, Marlena Novack, Alva Powell
An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder. ICMLA (2015)
Erik Linstead, Lindsey Hughes, Cristina Videira Lopes, Pierre Baldi
Information-Theoretic Metrics for Project-Level Scattering and Tangling. SEKE (2010)
Erik Linstead, Lindsey Hughes, Cristina Videira Lopes, Pierre Baldi
Capturing Java naming conventions with first-order Markov models. ICPC (2009)
Joel Ossher, Sushil Krishna Bajracharya, Erik Linstead, Pierre Baldi, Cristina Videira Lopes
SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects. MSR (2009)
Erik Linstead, Sushil Krishna Bajracharya, Trung Chi Ngo, Paul Rigor, Cristina Videira Lopes, Pierre Baldi
Sourcerer: mining and searching internet-scale software repositories. Data Min. Knowl. Discov. 18 (2) (2009)
Erik Linstead, Pierre Baldi
Mining the coherence of GNOME bug reports with statistical topic models. MSR (2009)
Erik Linstead, Cristina Videira Lopes, Pierre Baldi
An Application of Latent Dirichlet Allocation to Analyzing Software Evolution. ICMLA (2008)
Pierre Baldi, Cristina Videira Lopes, Erik Linstead, Sushil Krishna Bajracharya
A theory of aspects as latent topics. OOPSLA (2008)
Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi
Mining Eclipse Developer Contributions via Author-Topic Models. MSR (2007)
Jonathan H. Chen, Erik Linstead, Sanjay Joshua Swamidass, Dennis Wang, Pierre Baldi
ChemDB update - full-text search and virtual chemical space. Bioinform. 23 (17) (2007)
Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi
Mining concepts from code with probabilistic topic models. ASE (2007)
Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi
Mining Internet-Scale Software Repositories. NIPS (2007)
Sushil Krishna Bajracharya, Trung Chi Ngo, Erik Linstead, Yimeng Dou, Paul Rigor, Pierre Baldi, Cristina Videira Lopes
Sourcerer: a search engine for open source code supporting structure-based search. OOPSLA Companion (2006)