Shinji Fukuda
Title
Cited by
Cited by
Year
Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models
S Fukuda, B De Baets, W Waegeman, J Verwaeren, AM Mouton
Environmental modelling & software 47, 1-6, 2013
1172013
Random Forests modelling for the estimation of mango (Mangifera indica L. cv. Chok Anan) fruit yields under different irrigation regimes
S Fukuda, W Spreer, E Yasunaga, K Yuge, V Sardsud, J Müller
Agricultural Water Management 116, 142–150, 2013
602013
Effect of model formulation on the optimization of a genetic Takagi–Sugeno fuzzy system for fish habitat suitability evaluation
S Fukuda, B De Baets, AM Mouton, W Waegeman, J Nakajima, T Mukai, ...
Ecological Modelling 222 (8), 1401-1413, 2011
552011
Consideration of fuzziness: Is it necessary in modelling fish habitat preference of Japanese medaka (Oryzias latipes)?
S Fukuda
Ecological Modelling 220 (21), 2877-2884, 2009
542009
Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests
S Fukuda, E Yasunaga, M Nagle, K Yuge, V Sardsud, W Spreer, J Müller
Journal of Food Engineering 131, 7-17, 2014
462014
Evaluating the potential for invasion by alien freshwater fishes in northern Kyushu Island, Japan, using the Fish Invasiveness Scoring Kit
N Onikura, J Nakajima, R Inui, H Mizutani, M Kobayakawa, S Fukuda, ...
Ichthyological Research 58 (4), 382-387, 2011
412011
Prediction ability and sensitivity of artificial intelligence-based habitat preference models for predicting spatial distribution of Japanese medaka (Oryzias latipes)
S Fukuda, K Hiramatsu
Ecological Modelling 215 (4), 301-313, 2008
382008
Assessment of spatial habitat heterogeneity by coupling data-driven habitat suitability models with a 2D hydrodynamic model in small-scale streams
S Fukuda, T Tanakura, K Hiramatsu, M Harada
Ecological informatics 29, 147-155, 2015
362015
Elevated water temperature reduces the acute toxicity of the widely used herbicide diuron to a green alga, Pseudokirchneriella subcapitata
R Tasmin, Y Shimasaki, M Tsuyama, X Qiu, F Khalil, N Okino, N Yamada, ...
Environmental Science and Pollution Research 21 (2), 1064-1070, 2014
302014
Abundance versus presence/absence data for modelling fish habitat preference with a genetic Takagi–Sugeno fuzzy system
S Fukuda, AM Mouton, B De Baets
Environmental monitoring and assessment 184 (10), 6159-6171, 2012
292012
Predicting distributions of seven bitterling fishes in northern Kyushu, Japan
N Onikura, J Nakajima, T Miyake, K Kawamura, S Fukuda
Ichthyological Research, 1-10, 2012
272012
Fuzzy neural network model for habitat prediction and HEP for habitat quality estimation focusing on Japanese medaka (Oryzias latipes) in agricultural canals
S Fukuda, K Hiramatsu, M Mori
Paddy and Water Environment 4 (3), 119-124, 2006
262006
Assessing the applicability of fuzzy neural networks for habitat preference evaluation of Japanese medaka (Oryzias latipes)
S Fukuda
Ecological Informatics 6 (5), 286-295, 2011
252011
ファジィ推論によるメダカの環境応答モデルの開発
平松和昭, 福田信二, 四ヶ所四男美
農業土木学会論文集 2003 (228), 789-796, 2003
25*2003
Data prevalence matters when assessing species' responses using data-driven species distribution models
S Fukuda, B De Baets
Ecological Informatics 32, 69-78, 2016
212016
Comparing four methods for decision-tree induction: A case study on the invasive Iberian gudgeon (Gobio lozanoi; Doadrio and Madeira, 2004)
R Muñoz-Mas, S Fukuda, P Vezza, F Martínez-Capel
Ecological Informatics 34, 22-34, 2016
202016
The application of entropy for detecting behavioral responses in Japanese medaka (Oryzias latipes) exposed to different toxicants
S Fukuda, IJ Kang, J Moroishi, A Nakamura
Environmental toxicology 25 (5), 446-455, 2010
202010
Assessing Nonlinearity in Fish Habitat Preference of Japanese Medaka (Oryzias latipes) Using Genetic Algorithm–Optimized Habitat Prediction Models
S Fukuda, S Okushima
Japan Agricultural Research Quarterly: JARQ 42 (2), 97-107, 2008
182008
農業用水路におけるメダカの生息場選好性のあいまいさに関する数理表現
福田信二, 平松和昭, 森牧人, 四ヶ所四男美
農業土木学会論文集 2005 (239), 505-511, 2005
17*2005
Revisiting probabilistic neural networks: A comparative study with support vector machines and the microhabitat suitability for the Eastern Iberian chub (Squalius valentinus)
R Muñoz-Mas, S Fukuda, J Pórtoles, F Martinez-Capel
Ecological Informatics 43, 24-37, 2018
152018
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Articles 1–20