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Erik Linstead
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2020 – today
- 2022
- [j17]Rao Hamza Ali
, Gabriela Pinto
A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election. J. Big Data 9(1): 79 (2022) - [c35]Rao Hamza Ali
An Application of Neural Embedding Models for Representing Artistic Periods. EvoMUSART 2022: 325-340 - [c34]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: 1716-1723 - [c33]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: 3187-3190 - 2021
- [j16]Nicholas LaHaye
A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking. Remote. Sens. 13(12): 2364 (2021) - [j15]Hesham M. El-Askary
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): 4287 (2021) - [c32]Abigail Atchison, Gabriela Pinto
Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings. ICMLA 2021: 1325-1332 - [c31]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: 4368-4371 - 2020
- [j14]Rao Hamza Ali
A Machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data. ISPRS Int. J. Geo Inf. 9(7): 451 (2020) - [j13]Natalie Best, Jordan Ott, Erik Linstead
Exploring the efficacy of transfer learning in mining image-based software artifacts. J. Big Data 7(1): 59 (2020) - [j12]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): 347-360 (2020) - [j11]Jordan Ott, Erik Linstead
Learning in the machine: To share or not to share? Neural Networks 126: 235-249 (2020) - [j10]Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. Sci. Program. 2020: 8888811:1-8888811:13 (2020) - [c30]Raymond Anden, Erik Linstead:
Predicting eye movement and fixation patterns on scenic images using Machine Learning for Children with Autism Spectrum Disorder. BIBM 2020: 2563-2569 - [c29]Chelsea Parlett-Pelleriti, Erik J. Linstead, Emily S. Sumner, Hoang Q. Nguyen, Ryan Stokes, Barbara W. Sarnecka
A Hierarchical Bayesian IRT Analysis of Children's Risk Propensity. ICMLA 2020: 942-947 - [c28]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: 1276-1280 - [c27]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: 4642-4645 - [c26]Rao Hamza Ali
Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects. MSR 2020: 6-10 - [c25]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: 281-286 - [c24]Rao Hamza Ali, Erik Linstead:
Modeling Topic Exhaustion for Programming Languages on StackOverflow. SEKE 2020: 400-405 - [i3]Natalie Best, Jordan Ott, Erik Linstead:
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. CoRR abs/2003.01627 (2020) - [i2]Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi:
A Fortran-Keras Deep Learning Bridge for Scientific Computing. CoRR abs/2004.10652 (2020)
2010 – 2019
- 2019
- [j9]Cody L. Arbuckle, Daniel Tomaszewski, Lawrence Brown
Exploring the relationship of digital information sources and medication adherence. Comput. Biol. Medicine 109: 303-310 (2019) - [j8]Elizabeth Stevens, Dennis Dixon
Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning. Int. J. Medical Informatics 129: 29-36 (2019) - [j7]Jordan Ott, Abigail Atchison, Erik Linstead
Exploring the applicability of low-shot learning in mining software repositories. J. Big Data 6: 35 (2019) - [j6]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): 28 (2019) - [j5]Justin J. Gapper, Hesham M. El-Askary
Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers. Remote. Sens. 11(13): 1525 (2019) - [j4]Nicholas LaHaye
Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 3056-3066 (2019) - [c23]Louanne E. Boyd, Kendra Day, Ben Wasserman, Kaitlyn Abdo, Gillian R. Hayes
Paper Prototyping Comfortable VR Play for Diverse Sensory Needs. CHI Extended Abstracts 2019 - [c22]Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson
Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder. ICMLA 2019: 1961-1967 - [i1]Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi:
Learning in the Machine: To Share or Not to Share? CoRR abs/1909.11483 (2019) - 2018
- [j3]Justin J. Gapper, Hesham M. El-Askary
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): 1774 (2018) - [c21]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: 204 - [c20]Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson
Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees. ICMLA 2018: 1366-1370 - [c19]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: 183-184 - [c18]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: 336-339 - [c17]Jordan Ott, Abigail Atchison, Paul Harnack, Adrienne Bergh, Erik Linstead:
A deep learning approach to identifying source code in images and video. MSR 2018: 376-386 - [c16]Tom Springer, Erik Linstead:
Adaptive QoS-Based Resource Management Framework for IoT/Edge Computing. UEMCON 2018: 210-217 - 2017
- [c15]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: 661-666 - [c14]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: 463-466 - 2016
- [c13]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: 2545-2549 - 2015
- [c12]Cody L. Arbuckle, Milton L. Greenberg, Erik Linstead:
Detection and tracking of T cells in time-lapse imaging. BCB 2015: 545-546 - [c11]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: 414-418 - 2010
- [c10]Erik Linstead, Lindsey Hughes, Cristina Videira Lopes, Pierre Baldi:
Information-Theoretic Metrics for Project-Level Scattering and Tangling. SEKE 2010: 141-146
2000 – 2009
- 2009
- [j2]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): 300-336 (2009) - [c9]Erik Linstead, Lindsey Hughes, Cristina Videira Lopes, Pierre Baldi:
Capturing Java naming conventions with first-order Markov models. ICPC 2009: 313-314 - [c8]Erik Linstead, Pierre Baldi:
Mining the coherence of GNOME bug reports with statistical topic models. MSR 2009: 99-102 - [c7]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: 183-186 - 2008
- [c6]Erik Linstead, Cristina Videira Lopes, Pierre Baldi:
An Application of Latent Dirichlet Allocation to Analyzing Software Evolution. ICMLA 2008: 813-818 - [c5]Pierre Baldi, Cristina Videira Lopes, Erik Linstead, Sushil Krishna Bajracharya:
A theory of aspects as latent topics. OOPSLA 2008: 543-562 - 2007
- [j1]Jonathan H. Chen
ChemDB update - full-text search and virtual chemical space. Bioinform. 23(17): 2348-2351 (2007) - [c4]Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi:
Mining concepts from code with probabilistic topic models. ASE 2007: 461-464 - [c3]Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi:
Mining Eclipse Developer Contributions via Author-Topic Models. MSR 2007: 30 - [c2]Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi:
Mining Internet-Scale Software Repositories. NIPS 2007: 929-936 - 2006
- [c1]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: 681-682
Coauthor Index
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last updated on 2024-04-24 22:45 CEST by the dblp team
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