Using ADABOOST and Rough Set Theory for Predicting Debris Flow Disaster

Eco-Efficiency Assessment of Water Systems in China

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Assessment of debris flow hazards using a Bayesian Network

(2012) Wan-jie Liang et al.   GEOMORPHOLOGY

AdaBoost classifiers for pecan defect classification

(2011) S.K. Mathanker et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

AdaBoost-based face detection for embedded systems

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The knowledge expression on debris flow potential analysis through PCA + LDA and rough sets theory: a case study of Chen-Yu-Lan watershed, Nantou, Taiwan

(2010) Tsu-Chiang Lei et al.   Environmental Earth Sciences

An empirical–statistical model for predicting debris-flow runout zones in the Wenchuan earthquake area

(2010) Chuan Tang et al.   QUATERNARY INTERNATIONAL

Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification

(2009) X. Baro et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A knowledge-based decision support system to analyze the debris-flow problems at Chen-Yu-Lan River, Taiwan

(2009) Shiuan Wan et al.   KNOWLEDGE-BASED SYSTEMS

A Rough Set Based Model in Water Quality Analysis

(2009) Ping-Feng Pai et al.   WATER RESOURCES MANAGEMENT

Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks

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Rough Fuzzy Inference Model and its Application in Multi-factor Medium and Long-term Hydrological Forecast

(2008) Yong-Ying Zhu et al.   WATER RESOURCES MANAGEMENT

AdaBoost with SVM-based component classifiers

(2007) Xuchun Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Empirical models to predict the volumes of debris flows generated by recently burned basins in the western U.S.

(2007) Joseph E. Gartner et al.   GEOMORPHOLOGY