Caren Marzban
Caren Marzban
Unknown affiliation
Verified email at stat.washington.edu
Title
Cited by
Cited by
Year
The ROC curve and the area under it as performance measures
C Marzban
Weather and Forecasting 19 (6), 1106-1114, 2004
2372004
A neural network for tornado prediction based on Doppler radar-derived attributes
C Marzban, GJ Stumpf
Journal of applied meteorology 35 (5), 617-626, 1996
2311996
Bottom‐up forcing and the decline of Steller sea lions (Eumetopias jubatus) in Alaska: assessing the ocean climate hypothesis
AW Trites, AJ Miller, HDG Maschner, MA Alexander, SJ Bograd, ...
Fisheries Oceanography 16 (1), 46-67, 2007
1752007
Scalar measures of performance in rare-event situations
C Marzban
Weather and Forecasting 13 (3), 753-763, 1998
1371998
Artificial intelligence methods in the environmental sciences
SE Haupt, A Pasini, C Marzban
Springer Science & Business Media, 2008
1252008
A Bayesian neural network for severe-hail size prediction
C Marzban, A Witt
Weather and Forecasting 16 (5), 600-610, 2001
1212001
Cluster analysis for verification of precipitation fields
C Marzban, S Sandgathe
Weather and Forecasting 21 (5), 824-838, 2006
1092006
A neural network for damaging wind prediction
C Marzban, GJ Stumpf
Weather and Forecasting 13 (1), 151-163, 1998
771998
Neural networks for postprocessing model output: ARPS
C Marzban
Monthly Weather Review 131 (6), 1103-1111, 2003
652003
MOS, perfect prog, and reanalysis
C Marzban, S Sandgathe, E Kalnay
Monthly weather review 134 (2), 657-663, 2006
592006
The correlation between US tornadoes and Pacific sea surface temperatures
C Marzban, JT Schaefer
Monthly Weather Review 129 (4), 884-895, 2001
562001
Ceiling and visibility forecasts via neural networks
C Marzban, S Leyton, B Colman
Weather and forecasting 22 (3), 466-479, 2007
522007
On the effect of correlations on rank histograms: Reliability of temperature and wind speed forecasts from finescale ensemble reforecasts
C Marzban, R Wang, F Kong, S Leyton
Monthly Weather Review 139 (1), 295-310, 2011
432011
Cluster analysis for object-oriented verification of fields: A variation
C Marzban, S Sandgathe
Monthly weather review 136 (3), 1013-1025, 2008
432008
Three spatial verification techniques: Cluster analysis, variogram, and optical flow
C Marzban, S Sandgathe, H Lyons, N Lederer
Weather and Forecasting 24 (6), 1457-1471, 2009
402009
One-loop Vilkovisky-DeWitt counterterms for two-dimensional gravity plus scalar field theory
R Kantowski, C Marzban
Physical Review D 46 (12), 5449, 1992
391992
Optical flow for verification
C Marzban, S Sandgathe
Weather and Forecasting 25 (5), 1479-1494, 2010
382010
Verification with variograms
C Marzban, S Sandgathe
Weather and forecasting 24 (4), 1102-1120, 2009
382009
Using labeled data to evaluate change detectors in a multivariate streaming environment
AY Kim, C Marzban, DB Percival, W Stuetzle
Signal Processing 89 (12), 2529-2536, 2009
332009
A neural network for tornado diagnosis: Managing local minima
C Marzban
Neural Computing & Applications 9 (2), 133-141, 2000
282000
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