Sensor-based activity recognition with improved GP-based classifier
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Victor Ciesielski | A. Kai Qin | Feng Xie | Andy Song | A. K. Qin | V. Ciesielski | A. Song | Feng Xie
[1] K. Punnonen,et al. Serum transferrin receptor and its ratio to serum ferritin in the diagnosis of iron deficiency. , 1997, Blood.
[2] Yi Wang,et al. A framework of energy efficient mobile sensing for automatic user state recognition , 2009, MobiSys '09.
[3] Matthias Budde,et al. ActiServ: Activity Recognition Service for mobile phones , 2010, International Symposium on Wearable Computers (ISWC) 2010.
[4] Riccardo Poli,et al. A Field Guide to Genetic Programming , 2008 .
[5] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[6] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[7] Paul Lukowicz,et al. Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Zhigang Liu,et al. The Jigsaw continuous sensing engine for mobile phone applications , 2010, SenSys '10.
[9] Gregory S. Hornby,et al. An Evolved Antenna for Deployment on NASA's Space Technology 5 Mission , 2004 .
[10] James A. Landay,et al. The Mobile Sensing Platform: An Embedded Activity Recognition System , 2008, IEEE Pervasive Computing.
[11] Francisco Herrera,et al. A Survey on the Application of Genetic Programming to Classification , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[12] Li Wei,et al. Semi-supervised time series classification , 2006, KDD '06.
[13] Blake Hannaford,et al. A Hybrid Discriminative/Generative Approach for Modeling Human Activities , 2005, IJCAI.
[14] Norbert Gyorbíró,et al. An Activity Recognition System For Mobile Phones , 2009, Mob. Networks Appl..
[15] Charles X. Ling,et al. Using AUC and accuracy in evaluating learning algorithms , 2005, IEEE Transactions on Knowledge and Data Engineering.
[16] Victor Ciesielski,et al. Evolving Event Detectors in Multi-channel Sensor Data , 2012, Australasian Conference on Artificial Intelligence.
[17] Mark Johnston,et al. Genetic Programming for Classification with Unbalanced Data , 2010, EuroGP.
[18] Victor Ciesielski,et al. Event detection in time series by genetic programming , 2012, 2012 IEEE Congress on Evolutionary Computation.
[19] T. Dawson,et al. Selecting thresholds of occurrence in the prediction of species distributions , 2005 .
[20] Eamonn Keogh. Mining Time Series Data , 2005 .
[21] Charles X. Ling,et al. AUC: A Better Measure than Accuracy in Comparing Learning Algorithms , 2003, Canadian Conference on AI.
[22] Kamiar Aminian,et al. Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly , 2003, IEEE Transactions on Biomedical Engineering.
[23] Gaetano Borriello,et al. A Practical Approach to Recognizing Physical Activities , 2006, Pervasive.
[24] Jian Lu,et al. A Pattern Mining Approach to Sensor-Based Human Activity Recognition , 2011, IEEE Transactions on Knowledge and Data Engineering.
[25] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[26] Sian Lun Lau,et al. Supporting patient monitoring using activity recognition with a smartphone , 2010, 2010 7th International Symposium on Wireless Communication Systems.
[27] Eamonn J. Keogh,et al. HOT SAX: efficiently finding the most unusual time series subsequence , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[28] Gary M. Weiss,et al. Activity recognition using cell phone accelerometers , 2011, SKDD.
[29] A. Ferreira,et al. Evaluation of Brain Natriuretic Peptide in the Diagnosis of Heart Failure , 2000, Cardiology.