Erik Linstead - RankMe

56 papers A* 2A 9C 15Journal 22Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets. CoRR Nicholas LaHaye, Anistasija Easley, Kyongsik Yun, Huikyo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova
2025	J	`jnl`	Joint modeling of degradation signals and time-to-event data for the prediction of remaining useful life. Qual. Reliab. Eng. Int. Sebastian Brumm, Erik Linstead, Junde Chen, Narayanaswamy Balakrishnan, Yuxin Wen
2025	J	`jnl`	Land instability Compounds the risk of sea level rise in Alexandria, Egypt. Int. J. Appl. Earth Obs. Geoinformation Rejoice Thomas, Sara Zouriq, Shahryar Fazli, Amr Fawzy, Nikolay Grisel Todorov, Surendra Maharjan, Wenzhao Li, Erik Linstead, Daniele C. Struppa, Hesham Mohamed El-Askary
2022	C	`conf`	An Application of Document Embeddings to Identifying Challenging Behaviors in Autism Spectrum Disorder From Clinical Notes. ICMLA Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead
2022	C	`conf`	An Application of Neural Embedding Models for Representing Artistic Periods. EvoMUSART Rao Hamza Ali, Katie Rhodeghiero, Alexa Zuch, Saniya Syed, Erik Linstead
2022	C	`conf`	Deriving Drought Vulnerability Index using Geographically Weighted Principal Component Analysis (GWPCA) and K-Means Clustering for Nile Basin. IGARSS Sachi Perera, Mohamed Allali, Erik Linstead, Hesham M. El-Askary
2021	J	`jnl`	A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking. Remote. Sens. Nicholas LaHaye, Michael J. Garay, Brian D. Bue, Hesham M. El-Askary, Erik Linstead
2021	J	`jnl`	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. Hesham M. El-Askary, Amr Fawzy, Rejoice Thomas, Wenzhao Li, Nicholas LaHaye, Erik Linstead, Thomas C. Piechota, Daniele C. Struppa, Mohamed Abdelaty Sayed
2021	C	`conf`	Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings. ICMLA Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead
2021	C	`conf`	Landuse Landcover Change Detection in the Mediterranean Region Using a Siamese Neural Network and Image Processing. IGARSS Sachi Perera, Mohamed Allali, Erik Linstead, Hesham M. El-Askary
2020	C	`conf`	A Curated Set of Labeled Code Tutorial Images for Deep Learning. ICMLA Adrienne Bergh, Paul Harnack, Abigail Atchison, Jordan Ott, Elia Eiroa-Lledo, Erik Linstead
2020	J	`jnl`	A Fortran-Keras Deep Learning Bridge for Scientific Computing. CoRR Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
2020	J	`jnl`	A Fortran-Keras Deep Learning Bridge for Scientific Computing. Sci. Program. Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
2020	J	`jnl`	A Machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data. ISPRS Int. J. Geo Inf. Rao Hamza Ali, Josh Graves, Stanley Wu, Jenny Lee, Erik Linstead
2020	A	`conf`	Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects. MSR Rao Hamza Ali, Chelsea Parlett-Pelleriti, Erik Linstead
2020	C	`conf`	Do Experienced Programmers put too Much Confidence in Comments? SEKE Elia Eiroa-Lledo, Abby Bechtel, Emily Daskas, Lily Foster, Raha Pirzadeh, Katie Rodeghiero, Erik Linstead
2020	J	`jnl`	Exploring the Eating Disorder Examination Questionnaire, Clinical Impairment Assessment, and Autism Quotient to Identify Eating Disorder Vulnerability: A Cluster Analysis. Mach. Learn. Knowl. Extr. Natalia Stewart Rosenfield, Erik Linstead
2020	J	`jnl`	Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. CoRR Natalie Best, Jordan Ott, Erik Linstead
2020	J	`jnl`	Exploring the efficacy of transfer learning in mining image-based software artifacts. J. Big Data Natalie Best, Jordan Ott, Erik Linstead
2020	C	`conf`	Forecasting Vegetation Health in the MENA Region by Predicting Vegetation Indicators with Machine Learning Models. IGARSS Sachi Perera, Wenzhao Li, Erik Linstead, Hesham M. El-Askary
2020	J	`jnl`	Learning in the machine: To share or not to share? Neural Networks Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
2020	C	`conf`	Modeling Topic Exhaustion for Programming Languages on StackOverflow. SEKE Rao Hamza Ali, Erik Linstead
2020	—	`conf`	Predicting eye movement and fixation patterns on scenic images using Machine Learning for Children with Autism Spectrum Disorder. BIBM Raymond Anden, Erik Linstead
2019	J	`jnl`	A Virtual Reality System for Practicing Conversation Skills for Children with Autism. Multimodal Technol. Interact. Natalia Stewart Rosenfield, Kathleen Lamkin, Jennifer Re, Kendra Day, LouAnne E. Boyd, Erik Linstead
2019	J	`jnl`	Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers. Remote. Sens. Justin J. Gapper, Hesham M. El-Askary, Erik Linstead, Thomas C. Piechota
2019	C	`conf`	Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder. ICMLA Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Sneha Mathur, Erik Linstead
2019	J	`jnl`	Exploring the applicability of low-shot learning in mining software repositories. J. Big Data Jordan Ott, Abigail Atchison, Erik Linstead
2019	J	`jnl`	Exploring the relationship of digital information sources and medication adherence. Comput. Biol. Medicine Cody L. Arbuckle, Daniel Tomaszewski, Lawrence Brown, Jon Schommer, Donald Morisky, Chelsea Parlett-Pelleriti, Erik Linstead
2019	J	`jnl`	Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning. Int. J. Medical Informatics Elizabeth Stevens, Dennis Dixon, Marlena Novack, Doreen Granpeesheh, Tristram H. Smith, Erik Linstead
2019	J	`jnl`	Learning in the Machine: To Share or Not to Share? CoRR Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
2019	J	`jnl`	Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nicholas LaHaye, Jordan Ott, Michael J. Garay, Hesham Mohamed El-Askary, Erik Linstead
2019	—	`conf`	Paper Prototyping Comfortable VR Play for Diverse Sensory Needs. CHI Extended Abstracts LouAnne E. Boyd, Kendra Day, Ben Wasserman, Kaitlyn Abdo, Gillian R. Hayes, Erik Linstead
2018	A	`conf`	A deep learning approach to identifying source code in images and video. MSR Jordan Ott, Abigail Atchison, Paul Harnack, Adrienne Bergh, Erik Linstead
2018	—	`conf`	A topic analysis of the R programming language. ICSE (Companion Volume) Abigail Atchison, Haley Anderson, Christina Berardi, Natalie Best, Cristiano Firmani, Rene German, Erik Linstead
2018	—	`conf`	Adaptive QoS-Based Resource Management Framework for IoT/Edge Computing. UEMCON Tom Springer, Erik Linstead
2018	J	`jnl`	Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean. Remote. Sens. Justin J. Gapper, Hesham M. El-Askary, Erik Linstead, Thomas C. Piechota
2018	A	`conf`	Learning lexical features of programming languages from imagery using convolutional neural networks. ICPC Jordan Ott, Abigail Atchison, Paul Harnack, Natalie Best, Haley Anderson, Cristiano Firmani, Erik Linstead
2018	C	`conf`	Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees. ICMLA Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Erik Linstead
2018	A*	`conf`	vrSocial: Toward Immersive Therapeutic VR Systems for Children with Autism. CHI LouAnne E. Boyd, Saumya Gupta, Sagar B. Vikmani, Carlos M. Gutierrez, Junxiang Yang, Erik Linstead, Gillian R. Hayes
2017	C	`conf`	A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder. ICMLA Elizabeth Stevens, Abigail Atchison, Laura Stevens, Esther Hong, Doreen Granpeesheh, Dennis Dixon, Erik Linstead
2017	A	`conf`	A time series analysis of TravisTorrent builds: to everything there is a season. MSR Abigail Atchison, Christina Berardi, Natalie Best, Elizabeth Stevens, Erik Linstead
2016	—	`conf`	AMP: A platform for managing and mining data in the treatment of Autism Spectrum Disorder. EMBC Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler
2015	C	`conf`	An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder. ICMLA Erik Linstead, Rene German, Dennis Dixon, Doreen Granpeesheh, Marlena Novack, Alva Powell
2015	—	`conf`	Detection and tracking of T cells in time-lapse imaging. BCB Cody L. Arbuckle, Milton L. Greenberg, Erik Linstead
2010	C	`conf`	Information-Theoretic Metrics for Project-Level Scattering and Tangling. SEKE Erik Linstead, Lindsey Hughes, Cristina Videira Lopes, Pierre Baldi
2009	A	`conf`	Capturing Java naming conventions with first-order Markov models. ICPC Erik Linstead, Lindsey Hughes, Cristina Videira Lopes, Pierre Baldi
2009	A	`conf`	Mining the coherence of GNOME bug reports with statistical topic models. MSR Erik Linstead, Pierre Baldi
2009	J	`jnl`	Sourcerer: mining and searching internet-scale software repositories. Data Min. Knowl. Discov. Erik Linstead, Sushil Krishna Bajracharya, Trung Chi Ngo, Paul Rigor, Cristina Videira Lopes, Pierre Baldi
2009	A	`conf`	SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects. MSR Joel Ossher, Sushil Krishna Bajracharya, Erik Linstead, Pierre Baldi, Cristina Videira Lopes
2008	A	`conf`	A theory of aspects as latent topics. OOPSLA Pierre Baldi, Cristina Videira Lopes, Erik Linstead, Sushil Krishna Bajracharya
2008	C	`conf`	An Application of Latent Dirichlet Allocation to Analyzing Software Evolution. ICMLA Erik Linstead, Cristina Videira Lopes, Pierre Baldi
2007	J	`jnl`	ChemDB update - full-text search and virtual chemical space. Bioinform. Jonathan H. Chen, Erik Linstead, Sanjay Joshua Swamidass, Dennis Wang, Pierre Baldi
2007	A	`conf`	Mining Eclipse Developer Contributions via Author-Topic Models. MSR Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi
2007	—	`conf`	Mining Internet-Scale Software Repositories. NIPS Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi
2007	A*	`conf`	Mining concepts from code with probabilistic topic models. ASE Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi
2006	—	`conf`	Sourcerer: a search engine for open source code supporting structure-based search. OOPSLA Companion Sushil Krishna Bajracharya, Trung Chi Ngo, Erik Linstead, Yimeng Dou, Paul Rigor, Pierre Baldi, Cristina Videira Lopes