activity
20142021
most citedTechnology Readiness Levels for Machine Learning Systems

189 citations · 233 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2021★ 17 cited

Many-to-English Machine Translation Tools, Data, and Pretrained Models

Thamme Gowda, Zhao Zhang, Chris A Mattmann +1

While there are more than 7000 languages in the world, most translation research efforts have targeted a few high-resource languages. Commercial translation systems support only on…

cs.LG2021★ 189 cited

Technology Readiness Levels for Machine Learning Systems

Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic +12

The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of dilig…

cs.SE2020★ 2 cited

Technology Readiness Levels for AI & ML

Alexander Lavin, Gregory Renard

The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of diligence…

cs.LG2018★ 2 cited

MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution

Chris A. Mattmann, Sujen Shah, Brian Wilson

In this demo paper, we introduce the DARPA D3M program for automatic machine learning (ML) and JPL's MARVIN tool that provides an environment to locate, annotate, and execute machi…

cs.IR2017★ 6 cited

Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science

Kyle Hundman, Chris A. Mattmann

We propose Marve, a system for extracting measurement values, units, and related words from natural language text. Marve uses conditional random fields (CRF) to identify measuremen…

cs.CV2016

Scalable Pooled Time Series of Big Video Data from the Deep Web

Chris Mattmann, Madhav Sharan

We contribute a scalable implementation of Ryoo et al's Pooled Time Series algorithm from CVPR 2015. The updated algorithm has been evaluated on a large and diverse dataset of appr…

cs.LG2016★ 8 cited

Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction

Joey Hong, Chris Mattmann, Paul Ramirez

The evolution of the internet has created an abundance of unstructured data on the web, a significant part of which is textual. The task of author profiling seeks to find the demog…

cs.DC2015★ 9 cited

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE

Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52

This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…

astro-ph.HE2014

A Millisecond Interferometric Search for Fast Radio Bursts with the Very Large Array

Casey J. Law, Geoffrey C. Bower, Sarah Burke-Spolaor +7

We report on the first millisecond timescale radio interferometric search for the new class of transient known as fast radio bursts (FRBs). We used the Very Large Array (VLA) for a…