Tae-Soo Chon
Tae-Soo Chon
Ecological modelling, Ecological informatics, Computational behaviors
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Cited by
Cited by
Patternizing communities by using an artificial neural network
TS Chon, YS Park, KH Moon, EY Cha
Ecological modelling 90 (1), 69-78, 1996
Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs
DF Buss, DM Carlisle, TS Chon, J Culp, JS Harding, HE Keizer-Vlek, ...
Environmental monitoring and assessment 187, 1-21, 2015
Self-organizing maps applied to ecological sciences
TS Chon
Ecological Informatics 6 (1), 50-61, 2011
Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks
YS Park, TS Chon, IS Kwak, S Lek
Science of the total Environment 327 (1-3), 105-122, 2004
Automatic identification of whiteflies, aphids and thrips in greenhouse based on image analysis
J Cho, J Choi, M Qiao, CW Ji, HY Kim, KB Uhm, TS Chon
Red 346 (246), 244, 2007
Automatic identification and counting of small size pests in greenhouse conditions with low computational cost
C Xia, TS Chon, Z Ren, JM Lee
Ecological informatics 29, 139-146, 2015
Dynamics of prey-flock escaping behavior in response to predator's attack
SH Lee, HK Pak, TS Chon
Journal of theoretical biology 240 (2), 250-259, 2006
Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network
YS Park, PFM Verdonschot, TS Chon, S Lek
Water research 37 (8), 1749-1758, 2003
Determining temporal pattern of community dynamics by using unsupervised learning algorithms
TS Chon, YS Park, JH Park
Ecological Modelling 132 (1-2), 151-166, 2000
Community patterns of benthic macroinvertebrates collected on the national scale in Korea
YS Park, MY Song, YC Park, KH Oh, E Cho, TS Chon
ecological modelling 203 (1-2), 26-33, 2007
Implementation of artificial neural networks in patterning and prediction of exergy in response to temporal dynamics of benthic macroinvertebrate communities in streams
YS Park, IS Kwak, TS Chon, JK Kim, SE Jørgensen
Ecological Modelling 146 (1-3), 143-157, 2001
Community patterning and identification of predominant factors in algal bloom in Daechung Reservoir (Korea) using artificial neural networks
HM Oh, CY Ahn, JW Lee, TS Chon, KH Choi, YS Park
ecological modelling 203 (1-2), 109-118, 2007
Impact of agricultural land use on aquatic insect assemblages in the Garonne river catchment (SW France)
MY Song, F Leprieur, A Thomas, S Lek-Ang, TS Chon, S Lek
Aquatic Ecology 43, 999-1009, 2009
Plant leaf detection using modified active shape models
C Xia, JM Lee, Y Li, YH Song, BK Chung, TS Chon
Biosystems engineering 116 (1), 23-35, 2013
Pattern recognition of the movement tracks of medaka (Oryzias latipes) in response to sub-lethal treatments of an insecticide by using artificial neural networks
IS Kwak, TS Chon, HM Kang, NI Chung, JS Kim, SC Koh, SK Lee, YS Kim
Environmental Pollution 120 (3), 671-681, 2002
Computational characterization of behavioral response of medaka (Oryzias latipes) treated with diazinon
YS Park, NI Chung, KH Choi, EY Cha, SK Lee, TS Chon
Aquatic Toxicology 71 (3), 215-228, 2005
Relationships between three major stream assemblages and their environmental factors in multiple spatial scales
MJ Bae, Y Kwon, SJ Hwang, TS Chon, HJ Yang, IS Kwak, JH Park, ...
Annales de Limnologie-International Journal of Limnology 47, S91-S105, 2011
Handbook of ecological modelling and informatics
SE Jørgensen, TS Chon, F Recknagel
Wit Press, 2009
Density estimation of Bemisia tabaci (Hemiptera: Aleyrodidae) in a greenhouse using sticky traps in conjunction with an image processing system
M Qiao, J Lim, CW Ji, BK Chung, HY Kim, KB Uhm, CS Myung, J Cho, ...
Journal of Asia-Pacific Entomology 11 (1), 25-29, 2008
Analysis of behavioral changes of zebrafish (Danio rerio) in response to formaldehyde using Self-organizing map and a hidden Markov model
Y Liu, SH Lee, TS Chon
Ecological Modelling 222 (14), 2191-2201, 2011
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