On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders
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[1] Antonio Albiol,et al. Face recognition using HOG-EBGM , 2008, Pattern Recognit. Lett..
[2] João Gama,et al. Validating the coverage of bus schedules: A Machine Learning approach , 2015, Inf. Sci..
[3] Christina Inbakaran,et al. Travel surveys: review of international survey methods , 2011 .
[4] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[5] Dot Hs,et al. The 100-Car Naturalistic Driving Study Phase II - Results of the 100-Car Field Experiment , 2006 .
[6] M. Banerjee,et al. Beyond kappa: A review of interrater agreement measures , 1999 .
[7] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[8] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[9] R. Iman,et al. Approximations of the critical region of the fbietkan statistic , 1980 .
[10] Bernard W. Silverman,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[11] Kurt Hornik,et al. Misc Functions of the Department of Statistics (e1071), TU Wien , 2014 .
[12] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[13] N. Littlestone. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).
[14] Chunyan Miao,et al. FANS: face annotation by searching large-scale web facial images , 2013, WWW.
[15] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[16] João Mendes-Moreira,et al. An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time , 2014, IDA.
[17] Keiichi Uchimura,et al. Driver Inattention Monitoring System for Intelligent Vehicles: A Review , 2009, IEEE Transactions on Intelligent Transportation Systems.
[18] Aaron Klein,et al. Efficient and Robust Automated Machine Learning , 2015, NIPS.
[19] Tomer Toledo,et al. Can providing feedback on driving behavior and training on parental vigilant care affect male teen drivers and their parents? , 2014, Accident; analysis and prevention.
[20] N. Altman. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .
[21] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[22] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[23] Oded Cats,et al. Towards an AVL-based Demand Estimation Model , 2016 .
[24] Peter R. Stopher,et al. Search for a global positioning system device to measure person travel , 2008 .
[25] B. S. Sawant,et al. SECURITY IN E-BANKING VIA CARD LESS BIOMETRIC ATMS , 2012 .
[26] Michelle M. Porter,et al. Correspondence between self-reported and objective measures of driving exposure and patterns in older drivers. , 2010, Accident; analysis and prevention.
[27] Xiaolei Ma,et al. Mining smart card data for transit riders’ travel patterns , 2013 .
[28] B. V. K. Vijaya Kumar,et al. A Bayesian Approach to Deformed Pattern Matching of Iris Images , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[30] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[31] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[32] Carlo Giacomo Prato,et al. Modeling the behavior of novice young drivers during the first year after licensure. , 2010, Accident; analysis and prevention.
[33] Tomer Toledo,et al. The First Year of Driving - Can IVDR and Parental Involvement make it Safer? , 2013 .
[34] Christina Gloeckner,et al. Modern Applied Statistics With S , 2003 .
[35] Chunyan Miao,et al. Learning to name faces: a multimodal learning scheme for search-based face annotation , 2013, SIGIR.
[36] M. Friedman. A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .
[37] Theresa C McLoud,et al. Voice Recognition , 2009, Encyclopedia of Biometrics.
[38] T. Dingus,et al. Crash and risky driving involvement among novice adolescent drivers and their parents. , 2011, American journal of public health.
[39] Sergio A. Velastin,et al. A Review of Computer Vision Techniques for the Analysis of Urban Traffic , 2011, IEEE Transactions on Intelligent Transportation Systems.
[40] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[41] Sotiris B. Kotsiantis,et al. Supervised Machine Learning: A Review of Classification Techniques , 2007, Informatica.
[42] João Gama,et al. Predicting Taxi–Passenger Demand Using Streaming Data , 2013, IEEE Transactions on Intelligent Transportation Systems.
[43] Aixia Guo,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2014 .
[44] M. Sujatha,et al. Recognition of Human Iris Patterns for Biometric Identification , 2015 .
[45] Kurt Hornik,et al. Misc Functions of the Department of Statistics, ProbabilityTheory Group (Formerly: E1071), TU Wien , 2015 .
[46] Oded Cats,et al. Feature Selection Issues in Long-Term Travel Time Prediction , 2016, IDA.
[47] Masayoshi Tomizuka,et al. An Overview on Study of Identification of Driver Behavior Characteristics for Automotive Control , 2014 .
[48] Alípio Mário Jorge,et al. Ensemble approaches for regression: A survey , 2012, CSUR.
[49] Thomas A. Dingus,et al. THE 100 CAR NATURALISTIC DRIVING STUDY, PHASE I - EXPERIMENTAL DESIGN , 2002 .
[50] Eibe Frank,et al. Logistic Model Trees , 2003, Machine Learning.
[51] Saso Dzeroski,et al. Combining Classifiers with Meta Decision Trees , 2003, Machine Learning.
[52] Oded Cats,et al. Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning , 2016, PAKDD.
[53] Alexandre M. Bayen,et al. Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment , 2009 .
[54] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[55] Michel Ferreira,et al. Using exit time predictions to optimize self automated parking lots , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[56] Leo Breiman,et al. Stacked regressions , 2004, Machine Learning.
[57] Anil K. Jain,et al. Handbook of Fingerprint Recognition , 2005, Springer Professional Computing.
[58] Gregory D. Abowd,et al. Driver Classification Based on Driving Behaviors , 2016, IUI.
[59] Johannes Stallkamp,et al. Face Recognition for Smart Interactions , 2007, 2007 IEEE International Conference on Multimedia and Expo.
[60] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[61] Thomas Reinartz,et al. A Unifying View on Instance Selection , 2002, Data Mining and Knowledge Discovery.
[62] Lisa N. Wundersitz,et al. The benefits of measuring driving exposure using objective GPS-based methods and subjective self-report methods concurrently , 2013 .
[63] Simon J. Godsill,et al. An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo , 2007, Proceedings of the IEEE.
[64] Rafik A. Goubran,et al. Measuring variation in driving habits between drivers , 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
[65] Jennifer Ogle,et al. Quantitative assessment of driver speeding behavior using instrumented vehicles , 2005 .
[66] João Gama,et al. An online learning framework for predicting the taxi stand's profitability , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[67] Michel Ferreira,et al. On Predicting the Taxi-Passenger Demand: A Real-Time Approach , 2013, EPIA.
[68] Michelle M Porter,et al. Measurement of Driving Patterns of Older Adults Using Data Logging Devices with and without Global Positioning System Capability , 2007, Traffic injury prevention.
[69] Gavin Brown,et al. Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection , 2012, J. Mach. Learn. Res..
[70] Joseph Sill,et al. Feature-Weighted Linear Stacking , 2009, ArXiv.
[71] Ashok A. Ghatol,et al. Iris recognition: an emerging biometric technology , 2007 .
[72] Michael Goshey,et al. Radio Frequency Identification (RFID) , 2008, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.
[73] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[74] K. Ming Leung,et al. Learning Vector Quantization , 2017, Encyclopedia of Machine Learning and Data Mining.
[75] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[76] Pavel Brazdil,et al. Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix , 2012, MLDM.
[77] Thomas A. Dingus,et al. The 100-Car Naturalistic Driving Study Phase II – Results of the 100-Car Field Experiment , 2006 .
[78] Michel Ferreira,et al. Time-evolving O-D matrix estimation using high-speed GPS data streams , 2016, Expert Syst. Appl..
[79] Bertrand Michel,et al. Correlation and variable importance in random forests , 2013, Statistics and Computing.
[80] Oren Musicant,et al. Driving Patterns of Novice Drivers – a Temporal Spatial Perspective , 2012 .
[81] Li-Jia Li,et al. Multi-view Face Detection Using Deep Convolutional Neural Networks , 2015, ICMR.
[82] Anne T McCartt,et al. Effects of in-vehicle monitoring on the driving behavior of teenagers. , 2010, Journal of safety research.