Chris Mattmann
Chris Mattmann
Adjunct Research Professor and Director, Information Retrieval and Data Science (IRDS) Group
Verified email at - Homepage
Cited by
Cited by
The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo
TH Painter, DF Berisford, JW Boardman, KJ Bormann, JS Deems, ...
Remote Sensing of Environment 184, 139-152, 2016
Evaluation of the CORDEX-Africa multi-RCM hindcast: systematic model errors
J Kim, DE Waliser, CA Mattmann, CE Goodale, AF Hart, PA Zimdars, ...
Climate dynamics 42, 1189-1202, 2014
The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data
L Cinquini, D Crichton, C Mattmann, J Harney, G Shipman, F Wang, ...
Future Generation Computer Systems 36, 400-417, 2014
A vision for data science
CA Mattmann
Nature 493 (7433), 473-475, 2013
Apache airavata: a framework for distributed applications and computational workflows
S Marru, L Gunathilake, C Herath, P Tangchaisin, M Pierce, C Mattmann, ...
Proceedings of the 2011 ACM workshop on Gateway computing environments, 21-28, 2011
Enhancing architectural recovery using concerns
J Garcia, D Popescu, C Mattmann, N Medvidovic, Y Cai
2011 26th IEEE/ACM International Conference on Automated Software …, 2011
Tika in action
CA Mattmann, JL Zitting
Manning, 2012
A software architecture-based framework for highly distributed and data intensive scientific applications
CA Mattmann, DJ Crichton, N Medvidovic, S Hughes
Proceedings of the 28th international conference on Software engineering …, 2006
Obtaining ground-truth software architectures
J Garcia, I Krka, C Mattmann, N Medvidovic
2013 35th International Conference on Software Engineering (ICSE), 901-910, 2013
Technology readiness levels for machine learning systems
A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ...
Nature Communications 13 (1), 6039, 2022
Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data
A Kumar, T Islam, Y Sekimoto, C Mattmann, B Wilson
Plos one 15 (3), e0230114, 2020
Apache Airavata: design and directions of a science gateway framework
M Pierce, S Marru, L Gunathilake, TA Kanewala, R Singh, S Wijeratne, ...
2014 6th international workshop on science gateways, 48-54, 2014
A millisecond interferometric search for fast radio bursts with the Very Large Array
CJ Law, GC Bower, S Burke-Spolaor, B Butler, E Lawrence, TJW Lazio, ...
The Astrophysical Journal 807 (1), 16, 2015
New capabilities for prediction of high‐latitude ionospheric scintillation: A novel approach with machine learning
RM McGranaghan, AJ Mannucci, B Wilson, CA Mattmann, R Chadwick
Space Weather 16 (11), 1817-1846, 2018
SciSpark: Applying in-memory distributed computing to weather event detection and tracking
R Palamuttam, RM Mogrovejo, C Mattmann, B Wilson, K Whitehall, ...
2015 IEEE international conference on Big data (Big data), 2020-2026, 2015
Leveraging architectural models to inject trust into software systems
S Banerjee, CA Mattmann, N Medvidovic, L Golubchik
Proceedings of the 2005 workshop on Software engineering for secure systems …, 2005
Scientific software as workflows: From discovery to distribution
D Woollard, N Medvidovic, Y Gil, CA Mattmann
IEEE software 25 (4), 37-43, 2008
Clustering web pages based on structure and style similarity (application paper)
T Gowda, CA Mattmann
2016 IEEE 17th International conference on information reuse and integration …, 2016
Enabling semantic interoperability for earth science data
R Raskin, M Pan, C Mattmann
4th NASA Earth Science Technology Conference, 2004
Maars: Machine learning-based analytics for automated rover systems
M Ono, B Rothrock, K Otsu, S Higa, Y Iwashita, A Didier, T Islam, ...
2020 IEEE aerospace conference, 1-17, 2020
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