Erik Linstead

Orcid: 0000-0003-0174-7002

According to our database1, Erik Linstead authored at least 52 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election.
J. Big Data, 2022

Deriving Drought Vulnerability Index using Geographically Weighted Principal Component Analysis (GWPCA) and K-Means Clustering for Nile Basin.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

An Application of Document Embeddings to Identifying Challenging Behaviors in Autism Spectrum Disorder From Clinical Notes.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

An Application of Neural Embedding Models for Representing Artistic Periods.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022

2021
A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking.
Remote. Sens., 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.
Remote. Sens., 2021

Landuse Landcover Change Detection in the Mediterranean Region Using a Siamese Neural Network and Image Processing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing.
Sci. Program., 2020

Learning in the machine: To share or not to share?
Neural Networks, 2020

Exploring the Eating Disorder Examination Questionnaire, Clinical Impairment Assessment, and Autism Quotient to Identify Eating Disorder Vulnerability: A Cluster Analysis.
Mach. Learn. Knowl. Extr., 2020

Exploring the efficacy of transfer learning in mining image-based software artifacts.
J. Big Data, 2020

A Machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data.
ISPRS Int. J. Geo Inf., 2020

Do Experienced Programmers put too Much Confidence in Comments?
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Modeling Topic Exhaustion for Programming Languages on StackOverflow.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Forecasting Vegetation Health in the MENA Region by Predicting Vegetation Indicators with Machine Learning Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Hierarchical Bayesian IRT Analysis of Children's Risk Propensity.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

A Curated Set of Labeled Code Tutorial Images for Deep Learning.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Predicting eye movement and fixation patterns on scenic images using Machine Learning for Children with Autism Spectrum Disorder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers.
Remote. Sens., 2019

A Virtual Reality System for Practicing Conversation Skills for Children with Autism.
Multimodal Technol. Interact., 2019

Exploring the applicability of low-shot learning in mining software repositories.
J. Big Data, 2019

Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning.
Int. J. Medical Informatics, 2019

Exploring the relationship of digital information sources and medication adherence.
Comput. Biol. Medicine, 2019

Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Paper Prototyping Comfortable VR Play for Diverse Sensory Needs.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean.
Remote. Sens., 2018

Adaptive QoS-Based Resource Management Framework for IoT/Edge Computing.
Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

A deep learning approach to identifying source code in images and video.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Learning lexical features of programming languages from imagery using convolutional neural networks.
Proceedings of the 26th Conference on Program Comprehension, 2018

A topic analysis of the R programming language.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

vrSocial: Toward Immersive Therapeutic VR Systems for Children with Autism.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
A time series analysis of TravisTorrent builds: to everything there is a season.
Proceedings of the 14th International Conference on Mining Software Repositories, 2017

A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
AMP: A platform for managing and mining data in the treatment of Autism Spectrum Disorder.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Detection and tracking of T cells in time-lapse imaging.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2010
Information-Theoretic Metrics for Project-Level Scattering and Tangling.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

2009
Sourcerer: mining and searching internet-scale software repositories.
Data Min. Knowl. Discov., 2009

SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects.
Proceedings of the 6th International Working Conference on Mining Software Repositories, 2009

Mining the coherence of GNOME bug reports with statistical topic models.
Proceedings of the 6th International Working Conference on Mining Software Repositories, 2009

Capturing Java naming conventions with first-order Markov models.
Proceedings of the 17th IEEE International Conference on Program Comprehension, 2009

2008
A theory of aspects as latent topics.
Proceedings of the 23rd Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2008

An Application of Latent Dirichlet Allocation to Analyzing Software Evolution.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
ChemDB update - full-text search and virtual chemical space.
Bioinform., 2007

Mining Internet-Scale Software Repositories.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Mining Eclipse Developer Contributions via Author-Topic Models.
Proceedings of the Fourth International Workshop on Mining Software Repositories, 2007

Mining concepts from code with probabilistic topic models.
Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

2006
Sourcerer: a search engine for open source code supporting structure-based search.
Proceedings of the Companion to the 21th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2006


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