Chris A. Mattmann

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 15

Top Topics

Automatically Classify

Question Answering

Top Venues

Earth Sci. Informatics

Publications

Antonio R. Paiva, Weichang Li, Chris A. Mattmann, Youzuo Lin, Maarten V. de Hoop
Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Thamme Gowda, Zhao Zhang, Chris A. Mattmann, Jonathan May
Many-to-English Machine Translation Tools, Data, and Pretrained Models. CoRR (2021)
Hamsa Shwetha Venkataram, Chris A. Mattmann, J. Scott Penberthy
TopiQAL: Topic-aware Question Answering using Scalable Domain-specific Supercomputers. DLS@SC (2020)
Chris A. Mattmann, Zhao Zhang
Deep Facial Recognition using Tensorflow. DLS@SC (2019)
Chris A. Mattmann, Sujen Shah, Brian Wilson
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution. CoRR (2018)
Madhav Sharan, Nithin Krishna Ottilingam, Chris A. Mattmann, Karanjeet Singh, Maribel Marin, Amy Latzer, Colin Foon, Umesh Handore
An Automated Approach for Information and Referral of Social Services Using Machine Learning. IRI (2017)
Thamme Gowda, Kyle Hundman, Chris A. Mattmann
An Approach for Automatic and Large Scale Image Forensics. MFSec@ICMR (2017)
Siri Jodha S. Khalsa, Chris A. Mattmann, Ruth E. Duerr
Deep web crawling for insights from polar data. IGARSS (2017)
Chris A. Mattmann, Madhav Sharan
Scalable Hadoop-Based Pooled Time Series of Big Video Data from the Deep Web. ICMR (2017)
Joey Hong, Chris A. Mattmann, Paul M. Ramirez
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction. IRI (2017)
Kyle Hundman, Chris A. Mattmann
Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science. CoRR (2017)
Thamme Gowda, Chris A. Mattmann
Clustering Web Pages Based on Structure and Style Similarity (Application Paper). IRI (2016)
Chris A. Mattmann, Madhav Sharan
An Automatic Approach for Discovering and Geocoding Locations in Domain-Specific Web Data (Application Paper). IRI (2016)
Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, Paul M. Ramirez
Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature. AAAI Workshop: Knowledge Extraction from Text (2016)
Chris A. Mattmann, Luca Cinquini, Paul Zimdars, Michael J. Joyce, Shakeh E. Khudikyan
A topical evaluation and discussion of data movement technologies for data-intensive scientific applications. Earth Sci. Informatics 9 (2) (2016)
Kim Whitehall, Chris A. Mattmann, Gregory Jenkins, Mugizi Robert Rwebangira, Belay Demoz, Duane Waliser, Jinwon Kim, Cameron Goodale, Andrew F. Hart, Paul M. Ramirez, Michael J. Joyce, Maziyar Boustani, Paul Zimdars, Paul Loikith, Huikyo Lee
Exploring a graph theory based algorithm for automated identification and characterization of large mesoscale convective systems in satellite datasets. Earth Sci. Informatics 8 (3) (2015)
Chris A. Mattmann, Ji-Hyun Oh, Tyler Palsulich, Lewis John McGibbney, Yolanda Gil, Varun Ratnakar
DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis. ASE Workshops (2015)
Lewis J. McGibbney, Kim D. Whitehall, Chris A. Mattmann, Phillip M. Carter
Enabling Linguistic Analysis of Scientific Metadata through Internationalizing NASA JPL's PODAAC. IRI (2015)
Chris A. Mattmann
A Revisiting of the Anatomy and Physiology of the Grid. SCREAM@HPDC (2015)
Chris A. Mattmann, Joshua Garcia, Ivo Krka, Daniel Popescu, Nenad Medvidovic
Revisiting the Anatomy and Physiology of the Grid. J. Grid Comput. 13 (1) (2015)
Chris A. Mattmann, Duane Waliser, Jinwon Kim, Cameron Goodale, Andrew F. Hart, Paul M. Ramirez, Daniel J. Crichton, Paul Zimdars, Maziyar Boustani, Kyo Lee, Paul Loikith, Kim Whitehall, Chris Jack, Bruce Hewitson
Cloud computing and virtualization within the regional climate model and evaluation system. Earth Sci. Informatics 7 (1) (2014)
Ann B. Burgess, Chris A. Mattmann
Automatically classifying and interpreting polar datasets with Apache Tika. IRI (2014)
F. Alexander Bogert, Nicholas Smith, John Holdener, Eric M. De Jong, Andrew F. Hart, Luca Cinquini, Shakeh E. Khudikyan, David R. Thompson, Chris A. Mattmann, Kiri Wagstaff, Joseph Lazio, Dayton L. Jones, Alice Allen, Lior Shamir, Peter J. Teuben
Computing in Astronomy: Applications and Examples. Computer 47 (9) (2014)
Chris A. Mattmann
Cultivating a research agenda for data science. J. Big Data 1 (2014)
Rishi Verma, Andrew F. Hart, Chris A. Mattmann, Daniel J. Crichton, Heather Kincaid, Sean C. Kelly, Michael J. Joyce, Paul Zimdars, David L. Tabb, Jay D. Holman, Matthew Chambers, Kristen Anton, Maureen Colbert, Christos Patriotis, Sudhir Srivastava
A Laboratory-Targeted, Data Management and Processing System for the Early Detection Research Network. CBMS (2014)
Chris A. Mattmann, Thomas H. Painter, Paul M. Ramirez, Cameron Goodale, Andrew F. Hart, Paul Zimdars, Maziyar Boustani, Shakeh E. Khudikyan, Rishi Verma, Felix Seidel Caprez, Jeff Deems, Amy Trangsrud, Joseph W. Boardman
24 Hour near real time processing and computation for the JPL Airborne Snow Observatory. IGARSS (2014)
Chris A. Mattmann
Computing: A vision for data science. Nat. 493 (7433) (2013)
David L. Tabb, Kristen Anton, Matthew Chambers, Maureen Colbert, Andrew F. Hart, Jerry D. Holman, Sean C. Kelly, Heather Kincaid, Chris A. Mattmann, Daniel J. Crichton
Public infrastructure for cancer biomarker data capture, annotation, analysis, and distribution. AMIA (2013)
Chris A. Mattmann, Nenad Medvidovic, Sam Malek, George Edwards, Somo Banerjee
A Middleware Platform for Providing Mobile and Embedded Computing Instruction to Software Engineering Students. IEEE Trans. Educ. 55 (3) (2012)
Daniel J. Crichton, Chris A. Mattmann, Luca Cinquini, Amy Braverman, Duane Waliser, Michael Gunson, Andrew F. Hart, Cameron Goodale, Peter Lean, Jinwon Kim
Sharing Satellite Observations with the Climate-Modeling Community: Software and Architecture. IEEE Softw. 29 (5) (2012)
Andrew F. Hart, Rishi Verma, Chris A. Mattmann, Daniel J. Crichton, Sean C. Kelly, Heather Kincaid, J. Steven Hughes, Paul M. Ramirez, Cameron Goodale, Kristen Anton, Maureen Colbert, Robert R. Downs, Christos Patriotis, Sudhir Srivastava
Developing an open source, reusable platform for distributed collaborative information management in the Early Detection Research Network. IRI (2012)
Chris A. Mattmann, Robert R. Downs, Paul M. Ramirez, Cameron Goodale, Andrew F. Hart
Developing an open source strategy for NASA earth science data systems. IRI (2012)
Bruce R. Barkstrom, Chris A. Mattmann
A simple model illustrating the virtue of replication for long-term information preservation. Earth Sci. Informatics 5 (2) (2012)
James J. Marshall, Robert R. Downs, Chris A. Mattmann
Software reuse methods to improve technological infrastructure for e-Science. IRI (2011)
Chris A. Mattmann, Nenad Medvidovic, T. S. Mohan, T. Owen O'Malley
Workshop on software engineering for cloud computing: (SECLOUD 2011). ICSE (2011)
Daniel J. Crichton, Chris A. Mattmann, Andrew F. Hart, David C. Kale, Robinder G. Khemani, Patrick Ross, Sarah Rubin, Paul Veeravatanayothin, Amy Braverman, Cameron Goodale, Randall C. Wetzel
An informatics architecture for the Virtual Pediatric Intensive Care Unit. CBMS (2011)
Chris A. Mattmann, Robert R. Downs, James J. Marshall, Neal F. Most, Shahin Samadi
Reuse of software assets for the NASA Earth science decadal survey missions. IGARSS (2010)
James J. Marshall, Robert R. Downs, Chris A. Mattmann
Progress towards a NASA earth science Reuse Enablement System (RES). IRI (2010)
Somo Banerjee, Chris A. Mattmann, Nenad Medvidovic, Leana Golubchik
Leveraging architectural models to inject trust into software systems. SESS@ICSE (2005)
Chris A. Mattmann, Nenad Medvidovic
The GridLite DREAM: Bringing the Grid to Your Pocket. Monterey Workshop (2005)