Aaron J. Masino

发表

Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes pdf

Aaron J. Masino, Kaitlin A. Folweiler, A. Masino, 2018, ArXiv.

Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry

Akira Nishisaki, Aaron J. Masino, Vinay M. Nadkarni, 2020, Frontiers in Physiology.

Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

Anne Cocos, Aaron J. Masino, Alexander G. Fiks, 2017, J. Am. Medical Informatics Assoc..

Identifying Abnormal Anatomy on Temporal Bone Computed Tomography Reports Using Readily Available Natural Language Processing Software

Jeffrey W. Pennington, Robert Grundmeier, Aaron J. Masino, 2015, AMIA.

Detecting Adverse Drug Reactions on Twitter with Convolutional Neural Networks and Word Embedding Features

Aaron J. Masino, Alexander G. Fiks, Daniel Forsyth, 2018, Journal of Healthcare Informatics Research.

Temporal bone radiology report classification using open source machine learning and natural langue processing libraries

Jeffrey W. Pennington, Robert Grundmeier, Aaron J. Masino, 2016, BMC Medical Informatics and Decision Making.

Identifying Subsets of "Big Data" Relevant for Hearing Loss Progression Research

Ting Qian, Aaron J. Masino, 2016, CRI.

Radiology Report Text Classification with Automatically Generated Regular Expression Pattern Features

Anne Cocos, Aaron J. Masino, Daniel Forsyth, 2016, CRI.

Mean irradiance: experimental and theoretical results

Kenneth Grant, Aaron J. Masino, Larry Andrews, 2005, SPIE Defense + Commercial Sensing.

Twitter Data Collection for ADHD Adverse Drug Event Detection

Aaron J. Masino, Alexander G. Fiks, Daniel Forsyth, 2016, CRI.

Atmospheric-induced frequency fluctuations in LIDAR

Cynthia Y. Young, Aaron J. Masino, 2004, SPIE Defense + Commercial Sensing.

Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation

Chris Callison-Burch, Anne Cocos, Aaron J. Masino, 2017, J. Biomed. Informatics.

Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology

Peter N. Robinson, Jeffrey W. Pennington, Aaron J. Masino, 2014, BMC Bioinformatics.

Machine Learning Models for Infant Sepsis Prediction

Aaron J. Masino, Robert W. Grundmeier, Daniel Forsyth, 2018, AMIA.

A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity

Christopher C. Yang, Mengnan Zhao, Aaron J. Masino, 2018, BioNLP.

Moderately strong theory applied to second-order statistics

Fredrick E. Thomas, Cynthia Y. Young, Aaron J. Masino, 2003, SPIE LASE.

Effectively Crowdsourcing Radiology Report Annotations

Chris Callison-Burch, Anne Cocos, Ellie Pavlick, 2015, Louhi@EMNLP.

Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions

Christopher B. Forrest, Aaron J. Masino, Félice Lê-Scherban, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Scalable biobanking: A modular electronic Honest Broker and Biorepository for integrated clinical, specimen and genomic research

Adam C. Resnick, Jeffrey W. Pennington, Aaron J. Masino, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Adaptive optics without a wavefront sensor

Aaron J. Masino, Donald J. Link, A. Masino, 2005, SPIE Optics + Photonics.

Atmospheric-induced frequency fluctuations along slant paths

Cynthia Y. Young, Aaron J. Masino, Christopher J. Subich, 2004, SPIE LASE.

Phase fluctuations in moderate to strong turbulence

Fredrick E. Thomas, Cynthia Y. Young, Aaron J. Masino, 2003, SPIE LASE.

m-Health and Autism: Recognizing Stress and Anxiety with Machine Learning and Wearables Data

Christopher P. Bonafide, Jeffrey W. Pennington, Aaron J. Masino, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Prediction of early childhood obesity with machine learning and electronic health record data

Christopher B. Forrest, Aaron J. Masino, Félice Lê-Scherban, 2021, Int. J. Medical Informatics.

Erratum: Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine (American Journal of Human Genetics (2016) 98(6) (1067–1076) (S0002929716301069) (10.1016/j.ajhg.2016.04.011))

Sara Chandros Hull, Robert C. Green, Sean D. Mooney, 2016 .

The biorepository portal toolkit: an honest brokered, modular service oriented software tool set for biospecimen-driven translational research

Adam C. Resnick, Jeffrey W. Pennington, Aaron J. Masino, 2016, BMC Genomics.