← Leaderboards
Thomas G Dietterich
Oregon State University
$4,504,003
Attributed
$13,310,390
Total exposure
15
Grants
10
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $2.8M · FY2006–15$5M$3.8M$2.5M$1.3M$0
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
Funding mix
By agency
NSF$13,310,390 · 15
By mechanism
—$13,310,390 · 15
Top collaborators
- Weng-Keen Wong4 shared
- Alan Fern3 shared
- Bruce D D'Ambrosio2 shared
- John S Selker2 shared
- Julia A Jones2 shared
- Prasad H Tadepalli2 shared
- Alex D Groce1 shared
- Andrew K Mccallum1 shared
Grant awards (15)
Collaborative Research: CompSustNet: Expanding the Horizons of Computational Sustainability$1,400,000
· FY2015 · CSE · contact PI
III: Medium: Collaborative Research: Algorithms and Cyberinfrastructure for High-Precision Automated Quality Control of Hydro-Meteo Sensor Networks$635,476
· FY2015 · CSE · contact PI
II-EN: Software Tools for Monte-Carlo Optimization$456,286
· FY2014 · CSE
Collaborative Research: CDI-Type II: BirdCast: Novel Machine Learning Methods for Understanding Continent-Scale Bird Migration$1,000,865
· FY2011 · CSE · contact PI
II-EN: A compute cluster and software tools for Monte-Carlo methods in artificial intelligence$600,000
· FY2010 · CSE · contact PI
Collaborative Research: Computational Sustainability: Computational Methods for a Sustainable Environment, Economy, and Society$1,909,480
· FY2008 · CSE · contact PI
HCC-Medium: End-user debugging of machine-learned programs$929,362
· FY2008 · CSE
RI: Machine Learning for Robust Recognition of Invertebrate Specimens in Ecological Science$800,000
· FY2007 · CSE · contact PI
Summer Institute in EcoInformatics$581,291
· FY2006 · ENG
RR:Instrumentation for Experimental Research in Intelligent Information Access, Environmental Monitoring, and Large-Scale Pedestrian Simulation$80,026
· FY2004 · CSE
Ecosystem Informatics$3,954,048
· FY2003 · EDU
Off-the-shelf Learning Algorithms for Structural Supervised Learning$464,176
· FY2003 · CSE · contact PI
SGER: Exploiting Contextual Knowledge to Design Input Representations for Machine Learning$99,393
· FY2003 · CSE · contact PI
Student Participant Support for the International Conference on Machine Learning 2003$25,000
· FY2003 · CSE · contact PI
Divide and Conquer Methods for Machine Learning$374,987
· FY2000 · CSE · contact PI