Data Processing and Direct Data Interpretation

Note: Chapter Reference EPFL-CHAPTER-191195 Record created on 2013-12-10, modified on 2016-08-09

[1]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[2]  Vic Barnett,et al.  Outliers in Statistical Data , 1980 .

[3]  Ian F. C. Smith,et al.  A direct stochastic algorithm for global search , 2003, Appl. Math. Comput..

[4]  Piotr Omenzetter,et al.  Application of time series analysis for bridge monitoring , 2006 .

[5]  Qiusheng Li,et al.  Time–frequency analysis of typhoon effects on a 79-storey tall building , 2007 .

[6]  Chih-Jen Lin,et al.  A Practical Guide to Support Vector Classication , 2008 .

[7]  Huan Liu,et al.  Feature Selection for Classification , 1997, Intell. Data Anal..

[8]  Arthur J. Helmicki,et al.  Structural Identification for Condition Assessment: Experimental Arts , 1997 .

[9]  Paul S. Bradley,et al.  Refining Initial Points for K-Means Clustering , 1998, ICML.

[10]  Ahsan Kareem,et al.  Efficacy of Hilbert and Wavelet Transforms for Time-Frequency Analysis , 2006 .

[11]  Ian F. C. Smith,et al.  Model-free data interpretation for continuous monitoring of complex structures , 2008, Adv. Eng. Informatics.

[12]  Ron Kohavi,et al.  Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology , 1995, KDD.

[13]  Tracy Kijewski-Correa,et al.  BRAIN: A bivariate data-driven approach to damage detection in multi-scale wireless sensor networks , 2009 .

[14]  Piotr Omenzetter,et al.  Identification of unusual events in multi-channel bridge monitoring data , 2004 .

[15]  Yi Liu,et al.  FS_SFS: A novel feature selection method for support vector machines , 2006, Pattern Recognit..

[16]  T. Kijewski-Correa,et al.  Monitoring the wind-induced response of tall buildings: GPS performance and the issue of multipath effects , 2007 .

[17]  Alain Rakotomamonjy,et al.  Variable Selection Using SVM-based Criteria , 2003, J. Mach. Learn. Res..

[18]  Ruichong Zhang,et al.  Modal parameter identification of Tsing Ma suspension bridge under Typhoon Victor : EMD-HT method , 2004 .

[19]  Edward F. Crawley,et al.  Identification of nonlinear structural elements by force-state mapping , 1984 .

[20]  Lluís A. Belanche Muñoz,et al.  Feature selection algorithms: a survey and experimental evaluation , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

[21]  Tomaso A. Poggio,et al.  Image Representations and Feature Selection for Multimedia Database Search , 2003, IEEE Trans. Knowl. Data Eng..

[22]  Tracy Kijewski-Correa,et al.  Dynamic behavior of tall buildings under wind: insights from full‐scale monitoring , 2007 .

[23]  K. Law,et al.  Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure , 2006 .

[24]  Tracy Kijewski-Correa,et al.  Performance verification of bivariate regressive adaptive index for structural health monitoring , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[25]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[26]  Darryll J. Pines,et al.  Structural health monitoring using empirical mode decomposition and the Hilbert phase , 2006 .

[27]  Mohammad Noori,et al.  Wavelet-Based Approach for Structural Damage Detection , 2000 .

[28]  Ahsan Kareem,et al.  Nonlinear Signal Analysis: Time-Frequency Perspectives , 2007 .

[29]  Ian F. C. Smith,et al.  Feature Selection Using Stochastic Search: An Application to System Identification , 2010, J. Comput. Civ. Eng..

[30]  George A. Bekey,et al.  Non‐parametric identification of a class of nonlinear multidegree dynamic systems , 1982 .

[31]  Sung-Pil Chang,et al.  Experimental Investigation of System-Identification-Based Damage Assessment on Structures , 2002 .

[32]  Ahsan Kareem,et al.  Wavelet Transforms for System Identification in Civil Engineering , 2003 .

[33]  Mustafa Gul,et al.  Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications , 2009 .

[34]  Hoon Sohn,et al.  Damage diagnosis using time series analysis of vibration signals , 2001 .

[35]  Jason Weston,et al.  Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.

[36]  Haifeng Chen,et al.  Nonlinear Feature Selection by Relevance Feature Vector Machine , 2007, MLDM.

[37]  Hoon Sohn,et al.  Structural Health Monitoring Using Statistical Process Control , 2000 .

[38]  Erdal Şafak.  Identification of Linear Structures Using Discrete‐Time Filters , 1991 .

[39]  A. Habibi,et al.  Introduction to wavelets , 1995, Proceedings of MILCOM '95.

[40]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[41]  Luigi Piroddi,et al.  SEISMIC BEHAVIOUR OF BUTTRESS DAMS: NON-LINEAR MODELLING OF A DAMAGED BUTTRESS BASED ON ARX/NARX MODELS , 2001 .

[42]  Joachim M. Buhmann,et al.  Feature selection for support vector machines , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[43]  Ahsan Kareem,et al.  Validating wind-induced response of tall buildings : Synopsis of the chicago full-scale monitoring program , 2006 .