Sourcerer: a search engine for open source code supporting structure-based search. - Sushil Krishna Bajracharya; Trung Chi Ngo; Erik Linstead; Yimeng Dou; Paul Rigor; Pierre Baldi; Cristina Videira Lopes (OOPSLA Companion, 2006)

Mining concepts from code with probabilistic topic models. - Erik Linstead; Paul Rigor; Sushil Krishna Bajracharya; Cristina Videira Lopes; Pierre Baldi (ASE, 2007)

Mining Eclipse Developer Contributions via Author-Topic Models. - Erik Linstead; Paul Rigor; Sushil Krishna Bajracharya; Cristina Videira Lopes; Pierre Baldi (MSR, 2007)

Mining Internet-Scale Software Repositories. - Erik Linstead; Paul Rigor; Sushil Krishna Bajracharya; Cristina Videira Lopes; Pierre Baldi (NIPS, 2007)

ChemDB update - full-text search and virtual chemical space. - Jonathan H. Chen; Erik Linstead; Sanjay Joshua Swamidass; Dennis Wang; Pierre Baldi (Bioinform., 2007)

An Application of Latent Dirichlet Allocation to Analyzing Software Evolution. - Erik Linstead; Cristina Videira Lopes; Pierre Baldi (ICMLA, 2008)

A theory of aspects as latent topics. - Pierre Baldi; Cristina Videira Lopes; Erik Linstead; Sushil Krishna Bajracharya (OOPSLA, 2008)

Capturing Java naming conventions with first-order Markov models. - Erik Linstead; Lindsey Hughes; Cristina Videira Lopes; Pierre Baldi (ICPC, 2009)

Mining the coherence of GNOME bug reports with statistical topic models. - Erik Linstead; Pierre Baldi (MSR, 2009)

SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects. - Joel Ossher; Sushil Krishna Bajracharya; Erik Linstead; Pierre Baldi; Cristina Videira Lopes (MSR, 2009)

Sourcerer: mining and searching internet-scale software repositories. - Erik Linstead; Sushil Krishna Bajracharya; Trung Chi Ngo; Paul Rigor; Cristina Videira Lopes; Pierre Baldi (Data Min. Knowl. Discov., 2009)

Information-Theoretic Metrics for Project-Level Scattering and Tangling. - Erik Linstead; Lindsey Hughes; Cristina Videira Lopes; Pierre Baldi (SEKE, 2010)

Detection and tracking of T cells in time-lapse imaging. - Cody L. Arbuckle; Milton L. Greenberg; Erik Linstead (BCB, 2015)

An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder. - Erik Linstead; Rene German; Dennis Dixon; Doreen Granpeesheh; Marlena Novack; Alva Powell (ICMLA, 2015)

AMP: A platform for managing and mining data in the treatment of Autism Spectrum Disorder. - Erik Linstead; Ryan Burns; Duy Nguyen; David Tyler (EMBC, 2016)

A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder. - Elizabeth Stevens; Abigail Atchison; Laura Stevens; Esther Hong; Doreen Granpeesheh; Dennis Dixon; Erik Linstead (ICMLA, 2017)

A time series analysis of TravisTorrent builds: to everything there is a season. - Abigail Atchison; Christina Berardi; Natalie Best; Elizabeth Stevens; Erik Linstead (MSR, 2017)

vrSocial: Toward Immersive Therapeutic VR Systems for Children with Autism. - LouAnne E. Boyd; Saumya Gupta; Sagar B. Vikmani; Carlos M. Gutierrez; Junxiang Yang; Erik Linstead; Gillian R. Hayes (CHI, 2018)

Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees. - Kayleigh Hyde; Amy-Jane Griffiths; Cristina Giannantonio; Amy Hurley-Hanson; Erik Linstead (ICMLA, 2018)

A topic analysis of the R programming language. - Abigail Atchison; Haley Anderson; Christina Berardi; Natalie Best; Cristiano Firmani; Rene German; Erik Linstead (ICSE (Companion Volume), 2018)

Learning lexical features of programming languages from imagery using convolutional neural networks. - Jordan Ott; Abigail Atchison; Paul Harnack; Natalie Best; Haley Anderson; Cristiano Firmani; Erik Linstead (ICPC, 2018)

A deep learning approach to identifying source code in images and video. - Jordan Ott; Abigail Atchison; Paul Harnack; Adrienne Bergh; Erik Linstead (MSR, 2018)

Adaptive QoS-Based Resource Management Framework for IoT/Edge Computing. - Tom Springer; Erik Linstead (UEMCON, 2018)

Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean. - Justin J. Gapper; Hesham M. El-Askary; Erik Linstead; Thomas C. Piechota (Remote. Sens., 2018)

Paper Prototyping Comfortable VR Play for Diverse Sensory Needs. - Louanne E. Boyd; Kendra Day; Ben Wasserman; Kaitlyn Abdo; Gillian R. Hayes; Erik Linstead (CHI Extended Abstracts, 2019)

Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder. - Kayleigh Hyde; Amy-Jane Griffiths; Cristina Giannantonio; Amy Hurley-Hanson; Sneha Mathur; Erik Linstead (ICMLA, 2019)

Exploring the relationship of digital information sources and medication adherence. - Cody L. Arbuckle; Daniel Tomaszewski; Lawrence Brown; Jon Schommer; Donald Morisky; Chelsea Parlett-Pelleriti; Erik Linstead (Comput. Biol. Medicine, 2019)

Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning. - Elizabeth Stevens; Dennis Dixon; Marlena Novack; Doreen Granpeesheh; Tristram H. Smith; Erik Linstead (Int. J. Medical Informatics, 2019)

Exploring the applicability of low-shot learning in mining software repositories. - Jordan Ott; Abigail Atchison; Erik Linstead (J. Big Data, 2019)

A Virtual Reality System for Practicing Conversation Skills for Children with Autism. - Natalia Stewart Rosenfield; Kathleen Lamkin; Jennifer Re; Kendra Day; Louanne E. Boyd; Erik Linstead (Multimodal Technol. Interact., 2019)

Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers. - Justin J. Gapper; Hesham M. El-Askary; Erik Linstead; Thomas C. Piechota (Remote. Sens., 2019)

Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning. - Nicholas LaHaye; Jordan Ott; Michael J. Garay; Hesham Mohamed El-Askary; Erik Linstead (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Predicting eye movement and fixation patterns on scenic images using Machine Learning for Children with Autism Spectrum Disorder. - Raymond Anden; Erik Linstead (BIBM, 2020)

A Curated Set of Labeled Code Tutorial Images for Deep Learning. - Adrienne Bergh; Paul Harnack; Abigail Atchison; Jordan Ott; Elia Eiroa-Lledo; Erik Linstead (ICMLA, 2020)

A Hierarchical Bayesian IRT Analysis of Children's Risk Propensity. - Chelsea Parlett-Pelleriti; Erik J. Linstead; Emily S. Sumner; Hoang Q. Nguyen; Ryan Stokes; Barbara W. Sarnecka; Susanne M. Jaeggi (ICMLA, 2020)

Forecasting Vegetation Health in the MENA Region by Predicting Vegetation Indicators with Machine Learning Models. - Sachi Perera; Wenzhao Li; Erik Linstead; Hesham M. El-Askary (IGARSS, 2020)

Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects. - Rao Hamza Ali; Chelsea Parlett-Pelleriti; Erik Linstead (MSR, 2020)

Modeling Topic Exhaustion for Programming Languages on StackOverflow. - Rao Hamza Ali; Erik Linstead (SEKE, 2020)

Do Experienced Programmers put too Much Confidence in Comments? - Elia Eiroa-Lledo; Abby Bechtel; Emily Daskas; Lily Foster; Raha Pirzadeh; Katie Rodeghiero; Erik Linstead (SEKE, 2020)

A Machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data. - Rao Hamza Ali; Josh Graves; Stanley Wu; Jenny Lee; Erik Linstead (ISPRS Int. J. Geo Inf., 2020)

Exploring the efficacy of transfer learning in mining image-based software artifacts. - Natalie Best; Jordan Ott; Erik Linstead (J. Big Data, 2020)

Exploring the Eating Disorder Examination Questionnaire, Clinical Impairment Assessment, and Autism Quotient to Identify Eating Disorder Vulnerability: A Cluster Analysis. - Natalia Stewart Rosenfield; Erik Linstead (Mach. Learn. Knowl. Extr., 2020)

Learning in the machine: To share or not to share? - Jordan Ott; Erik Linstead; Nicholas LaHaye; Pierre Baldi (Neural Networks, 2020)

A Fortran-Keras Deep Learning Bridge for Scientific Computing. - Jordan Ott; Mike Pritchard; Natalie Best; Erik Linstead; Milan Curcic; Pierre Baldi (Sci. Program., 2020)

Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings. - Abigail Atchison; Gabriela Pinto; Ali Woodward; Elizabeth Stevens; Dennis Dixon; Erik Linstead (ICMLA, 2021)

Landuse Landcover Change Detection in the Mediterranean Region Using a Siamese Neural Network and Image Processing. - Sachi Perera; Mohamed Allali; Erik Linstead; Hesham M. El-Askary (IGARSS, 2021)

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. - Hesham M. El-Askary; Amr Fawzy; Rejoice Thomas; Wenzhao Li; Nicholas LaHaye; Erik Linstead; Thomas C. Piechota; Daniele C. Struppa; Mohamed Abdelaty Sayed (Remote. Sens., 2021)

A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking. - Nicholas LaHaye; Michael J. Garay; Brian D. Bue; Hesham M. El-Askary; Erik Linstead (Remote. Sens., 2021)

An Application of Neural Embedding Models for Representing Artistic Periods. - Rao Hamza Ali; Katie Rhodeghiero; Alexa Zuch; Saniya Syed; Erik Linstead (EvoMUSART, 2022)

An Application of Document Embeddings to Identifying Challenging Behaviors in Autism Spectrum Disorder From Clinical Notes. - Abigail Atchison; Gabriela Pinto; Ali Woodward; Elizabeth Stevens; Dennis Dixon; Erik Linstead (ICMLA, 2022)

Deriving Drought Vulnerability Index using Geographically Weighted Principal Component Analysis (GWPCA) and K-Means Clustering for Nile Basin. - Sachi Perera; Mohamed Allali; Erik Linstead; Hesham M. El-Askary (IGARSS, 2022)

A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election. - Rao Hamza Ali; Gabriela Pinto; Evelyn Lawrie; Erik J. Linstead (J. Big Data, 2022)

Land instability Compounds the risk of sea level rise in Alexandria, Egypt. - Rejoice Thomas; Sara Zouriq; Shahryar Fazli; Amr Fawzy; Nikolay Grisel Todorov; Surendra Maharjan; Wenzhao Li; Erik Linstead; Daniele C. Struppa; Hesham Mohamed El-Askary (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets. - Nicholas LaHaye; Anistasija Easley; Kyongsik Yun; Huikyo Lee; Erik Linstead; Michael J. Garay; Olga V. Kalashnikova (CoRR, 2025)

Joint modeling of degradation signals and time-to-event data for the prediction of remaining useful life. - Sebastian Brumm; Erik Linstead; Junde Chen; Narayanaswamy Balakrishnan; Yuxin Wen (Qual. Reliab. Eng. Int., 2025)