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2020 – today
- 2024
[j31]Song Wang
, Paul Watta, Yi Lu Murphey:
Accurate Classification and Prediction of Remote Vehicle Position Classes Using V2V Communication and Deep Learning. IEEE Access 12: 150844-150856 (2024)- [j30]Jun Gao, Jiangang Yi, Yi Lu Murphey:
An efficient driving behavior prediction approach using physiological auxiliary and adaptive LSTM. Mach. Vis. Appl. 35(5): 113 (2024) - 2023
- [j29]Jun Gao, Jiangang Yi, Yi Lu Murphey:
Multi-scale space-time transformer for driving behavior detection. Multim. Tools Appl. 82(16): 24289-24308 (2023) - [j28]Yuxuan Zhang, Yuanxiang Li, Xian Wei, Yongsheng Yang, Lei Liu, Yi Lu Murphey:
Graph matching for knowledge graph alignment using edge-coloring propagation. Pattern Recognit. 144: 109851 (2023) - [c84]Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Lingxiao Xue, Ruben Glatt:
Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters. ICNC 2023: 25-29 - 2022
- [j27]Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Lingxiao Xue, Ruben Glatt:
Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning. IEEE Access 10: 78702-78712 (2022) - [j26]Jun Gao, Jiangang Yi, Yi Lu Murphey:
Attention-based global context network for driving maneuvers prediction. Mach. Vis. Appl. 33(4): 53 (2022) - [c83]Zixuan Zhao, Siyu Yang, Christopher Sauer, Atsushi Teraji, Yasuhiro Yamauchi, Takeshi Hirata, A. J. Bisci, Yi Lu Murphey:
Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons. IJCNN 2022: 1-8 - 2021
- [j25]Ying Zhang, Yingjie Zhang, Zhaoyang Ai, Yi Lu Murphey, Jing Zhang:
Energy Optimal Control of Motor Drive System for Extending Ranges of Electric Vehicles. IEEE Trans. Ind. Electron. 68(2): 1728-1738 (2021) - [j24]Paul Watta, Ximu Zhang, Yi Lu Murphey:
Vehicle Position and Context Detection Using V2V Communication. IEEE Trans. Intell. Veh. 6(4): 634-648 (2021) - [c82]Yongquan Xie, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey:
F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms. IEA/AIE (2) 2021: 3-14 - [c81]Song Wang, Yi Lu Murphey:
Driving Maneuver Detection using Features of Driver's attention and Face Shift through Deeping Learning. IJCNN 2021: 1-8 - [c80]Yongquan Xie, Zhengru Li, Tian Qin, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey:
Personalized Session-Based Recommendation Using Graph Attention Networks. IJCNN 2021: 1-8 - [c79]Zixuan Zhao, Zihao Zhao, Song Wang, Paul Watta, Yi Lu Murphey:
Pedestrian Re-identification using a Surround-view Fisheye Camera System. IJCNN 2021: 1-8 - 2020
- [j23]Xishuai Peng, Yi Lu Murphey, Ruirui Liu, Yuanxiang Li:
Driving maneuver early detection via sequence learning from vehicle signals and video images. Pattern Recognit. 103: 107276 (2020) - [j22]Yongquan Xie, Yi Lu Murphey, Dev S. Kochhar:
Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals. IEEE Trans. Intell. Veh. 5(3): 439-448 (2020) - [j21]Chang Liu, Yi Lu Murphey:
Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1942-1954 (2020) - [c78]Yongquan Xie, Yi Lu Murphey:
Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals. EAIS 2020: 1-8
2010 – 2019
- 2019
- [j20]Xishuai Peng, Yuanxiang Li, Yi Lu Murphey, Jianhua Luo:
Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning. IEEE Access 7: 108248-108260 (2019) - [j19]Jun Gao, Yi Lu Murphey, Honghui Zhu:
Personalized detection of lane changing behavior using multisensor data fusion. Computing 101(12): 1837-1860 (2019) - [j18]Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Fengxiang Wang, Martin Kleinsteuber, Yi Lu Murphey:
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 30(1): 175-189 (2019) - [j17]Ying Zhang, Yingjie Zhang, Zhaoyang Ai, Yun Feng, Jing Zhang, Yi Lu Murphey:
Estimation of Electric Mining Haul Trucks' Mass and Road Slope Using Dual Level Reinforcement Estimator. IEEE Trans. Veh. Technol. 68(11): 10627-10638 (2019) - [c77]Xishuai Peng, Ava Zhao, Song Wang, Yi Lu Murphey, Yuanxiang Li:
Attention-Driven Driving Maneuver Detection System. IJCNN 2019: 1-8 - [c76]Yongquan Xie, Yi Lu Murphey, Dev S. Kochhar:
Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals. INDIN 2019: 1801-1806 - [c75]Ke Wang, Yi Lu Murphey, Yating Zhou, Xin Hu, Ximu Zhang:
Detection of driver stress in real-world driving environment using physiological signals. INDIN 2019: 1807-1814 - [c74]Zhechen Wang, Yongquan Xie, Yi Lu Murphey:
User-Specific Music recommendation Applied to Information and Computation Resource Constrained System. SSCI 2019: 1179-1184 - [c73]Yuxuan Zhang, Yuanxiang Li, Lei Jia, Xian Wei, Yi Lu Murphey:
Sequential Information Bottleneck Network for RUL Prediction. SSCI 2019: 1185-1193 - [c72]Xishuai Peng, Yi Lu Murphey, Simon Stent, Yuanxiang Li, Zihao Zhao:
Spatial Focal Loss for Pedestrian Detection in Fisheye Imagery. WACV 2019: 561-569 - 2018
- [j16]Jun Gao, Yi Lu Murphey, Honghui Zhu:
Multivariate time series prediction of lane changing behavior using deep neural network. Appl. Intell. 48(10): 3523-3537 (2018) - [j15]Xishuai Peng, Yuanxiang Li, Xian Wei, Jianhua Luo, Yi Lu Murphey:
RGB-NIR image categorization with prior knowledge transfer. EURASIP J. Image Video Process. 2018: 149 (2018) - [c71]Yongquan Xie, Yi Lu Murphey, Dev S. Kochhar:
SVM Parameter Optimization Using Swarm Intelligence for Learning from Big Data. ICCCI (1) 2018: 469-478 - [c70]Xishuai Peng, Ruirui Liu, Yi Lu Murphey, Simon Stent, Yuanxiang Li:
Driving Maneuver Detection via Sequence Learning from Vehicle Signals and Video Images. ICPR 2018: 1265-1270 - [c69]Yuzhou Shi, Yuanxiang Li, Jiawei Liu, Xingang Liu, Yi Lu Murphey:
Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks. ICPR 2018: 2438-2443 - [c68]Yongquan Xie, Kexun Chen, Yi Lu Murphey:
Real-time and Robust Driver Yawning Detection with Deep Neural Networks. SSCI 2018: 532-538 - [c67]Xishuai Peng, Yuanxiang Li, Yi Lu Murphey, Xian Wei, Jianhua Luo:
Domain Adaptation with One-step Transformation. SSCI 2018: 539-546 - [c66]Yunkai Liu, Yuanxiang Li, Jiawei Liu, Xishuai Peng, Yongjun Zhou, Yi Lu Murphey:
FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway. SSCI 2018: 547-554 - [c65]Alexander Breg, Yi Lu Murphey, Takchoi Yu:
Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data. SSCI 2018: 555-560 - 2017
- [j14]Xian Wei, Yuanxiang Li, Hao Shen, Weidong Xiang, Yi Lu Murphey:
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition. Pattern Recognit. 66: 412-424 (2017) - [c64]Alper Kursat Uysal, Yi Lu Murphey:
Sentiment Classification: Feature Selection Based Approaches Versus Deep Learning. CIT 2017: 23-30 - [c63]Stanley S. Baek, Chang Liu, Paul Watta, Yi Lu Murphey:
Accurate vehicle position estimation using a Kalman filter and neural network-based approach. SSCI 2017: 1-8 - [c62]Chang Liu, Yi Lu Murphey:
Analytical greedy control and Q-learning for optimal power management of plug-in hybrid electric vehicles. SSCI 2017: 1-8 - [c61]Yi Lu Murphey, Chang Liu, Muhammad Tayyab, Divyendu Narayan:
Accurate pedestrian path prediction using neural networks. SSCI 2017: 1-7 - [c60]Xishuai Peng, Yuanxiang Li, Xian Wei, Jianhua Luo, Yi Lu Murphey:
Traffic sign recognition with transfer learning. SSCI 2017: 1-7 - [c59]Yongquan Xie, Chengqi Bian, Yi Lu Murphey, Dev S. Kochhar:
An SVM parameter learning algorithm scalable on large data size for driver fatigue detection. SSCI 2017: 1-8 - 2016
- [j13]Jungme Park, Yi Lu Murphey, M. Abul Masrur:
Intelligent Energy Management and Optimization in a Hybridized All-Terrain Vehicle With Simple On-Off Control of the Internal Combustion Engine. IEEE Trans. Veh. Technol. 65(6): 4584-4596 (2016) - [c58]Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey:
Joint learning dictionary and discriminative features for high dimensional data. ICPR 2016: 366-371 - [c57]Xipeng Wang, Yi Lu Murphey, Dev S. Kochhar:
MTS-DeepNet for lane change prediction. IJCNN 2016: 4571-4578 - [c56]Yue Dai, Yuan Ma, Qianyi Wang, Yi Lu Murphey, Shiqi Qiu, Johannes Kristinsson, Jason Meyer, Finn Tseng, Timothy Feldkamp:
Dynamic prediction of drivers' personal routes through machine learning. SSCI 2016: 1-8 - [c55]Yifu Liu, Paul Watta, Bochen Jia, Yi Lu Murphey:
Vehicle position and context detection using V2V communication with application to pre-crash detection and warning. SSCI 2016: 1-7 - 2015
- [j12]Yinghao Huang, Yi Lu Murphey, Yao Ge:
Intelligent typo correction for text mining through machine learning. Int. J. Knowl. Eng. Data Min. 3(2): 115-142 (2015) - [c54]Shiqi Qiu, Ryan A. McGee, Yi Lu Murphey:
Adaptive Fuzzy Prediction for Automotive Applications Usage. ICMLA 2015: 19-24 - [c53]Weiwei Zhang, Yi Lu Murphey, Tianyu Wang, Qijie Xu:
Driver yawning detection based on deep convolutional neural learning and robust nose tracking. IJCNN 2015: 1-8 - [c52]Wenduo Wang, Yi Lu Murphey, Paul Watta:
A Computational Framework for Implementation of Neural Networks on Multi-Core Machine. INNS Conference on Big Data 2015: 82-91 - [c51]Xipeng Wang, Yuan Ma, Junru Di, Yi Lu Murphey, Shiqi Qiu, Johannes Kristinsson, Jason Meyer, Finn Tseng, Timothy Feldkamp:
Building Efficient Probability Transition Matrix Using Machine Learning from Big Data for Personalized Route Prediction. INNS Conference on Big Data 2015: 284-291 - [c50]Jiaqi Ma, Yi Lu Murphey, Hong Zhao:
Real Time Drowsiness Detection Based on Lateral Distance Using Wavelet Transform and Neural Network. SSCI 2015: 411-418 - 2014
- [j11]Jungme Park, Yi Lu Murphey, Ryan McGee, Johannes Kristinsson, Ming L. Kuang, Anthony M. Phillips:
Intelligent Trip Modeling for the Prediction of an Origin-Destination Traveling Speed Profile. IEEE Trans. Intell. Transp. Syst. 15(3): 1039-1053 (2014) - [c49]Dai Li, Yi Lu Murphey:
Automatic text categorization using a system of high-precision and high-recall models. CIDM 2014: 373-380 - [c48]Chaomin Luo, Jiyong Gao, Yi Lu Murphey, Gene Eu Jan:
A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle. IJCNN 2014: 934-939 - [c47]Chen Fang, Xipeng Wang, Yi Lu Murphey, David Weber, Perry MacNeille:
Specific humidity forecasting using recurrent Neural Network. IJCNN 2014: 955-960 - [c46]Xipeng Wang, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ming Kuang, Tony Phillips:
Intelligent Trip Modeling on Ramps using ramp classification and knowledge base. IJCNN 2014: 967-974 - 2013
- [j10]Yi Lu Murphey, Jungme Park, Leonidas Kiliaris, Ming Kuang, M. Abul Masrur, Anthony M. Phillips, Qing Wang:
Intelligent Hybrid Vehicle Power Control - Part II: Online Intelligent Energy Management. IEEE Trans. Veh. Technol. 62(1): 69-79 (2013) - [c45]Yinghao Huang, Yi Lu Murphey, Yao Ge:
Machine learning of engineering diagnostic knowledge from unstructured verbatim text descriptions. CIDM 2013: 46-52 - [c44]Yinghao Huang, Yi Lu Murphey, Yao Ge:
Automotive diagnosis typo correction using domain knowledge and machine learning. CIDM 2013: 267-274 - [c43]Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips:
Intelligent speed profile prediction on urban traffic networks with machine learning. IJCNN 2013: 1-7 - [c42]Yi Lu Murphey, Jungme Park, M. Abul Masrur:
Intelligent Energy Management in a Low Cost Hybrid Electric Vehicle Power System. VTC Fall 2013: 1-5 - 2012
- [j9]Yi Lu Murphey, Jungme Park, ZhiHang Chen, Ming Kuang, M. Abul Masrur, Anthony M. Phillips:
Intelligent Hybrid Vehicle Power Control - Part I: Machine Learning of Optimal Vehicle Power. IEEE Trans. Veh. Technol. 61(8): 3519-3530 (2012) - [c41]Ruoqian Liu, Hai Yu, Ryan McGee, Yi Lu Murphey:
Driving course prediction for vehicle handling maneuvers. ACC 2012: 2096-2101 - [c40]Ruoqian Liu, Shen Xu, Chen Fang, Yung-wen Liu, Yi Lu Murphey, Dev S. Kochhar:
Statistical modeling and signal selection in multivariate time series pattern classification. ICPR 2012: 2853-2856 - 2011
- [c39]Ruoqian Liu, Shen Xu, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips:
Real time vehicle speed predition using gas-kinetic traffic modeling. CIVTS 2011: 80-86 - [c38]Shen Xu, Ruoqian Liu, Dai Li, Yi Lu Murphey:
A hybrid system ensemble based time series signal classification on driver alertness detection. IJCNN 2011: 2093-2099 - [c37]ZhiHang Chen, Shiqi Qiu, M. Abul Masrur, Yi Lu Murphey:
Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks. IJCNN 2011: 2156-2163 - [c36]Jungme Park, Dai Li, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips:
Real time vehicle speed prediction using a Neural Network Traffic Model. IJCNN 2011: 2991-2996 - 2010
- [c35]Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal:
Classifying Independent Medical Examination Reports using SOM Networks. DMIN 2010: 58-64 - [c34]Yi Lu Murphey, ZhiHang Chen:
A Multi-agent System for Complex Vehicle Fault Diagnostics and Health Monitoring. ICECCS 2010: 257-258 - [c33]Ruoqian Liu, Yi Lu Murphey:
Time-series temporal classification using Feature Ensemble learning. IJCNN 2010: 1-5 - [c32]Jungme Park, ZhiHang Chen, Yi Lu Murphey:
Intelligent vehicle power management through neural learning. IJCNN 2010: 1-7 - [c31]Shen Xu, Yi Lu Murphey:
Vehicle detection using Bayesian Network Enhanced Cascades Classification (BNECC). IJCNN 2010: 1-6 - [c30]Aisha Yousuf, Yi Lu Murphey:
A Supervised Fuzzy Adaptive Resonance Theory with Distributed Weight Update. ISNN (1) 2010: 430-435
2000 – 2009
- 2009
- [j8]Jungme Park, ZhiHang Chen, Leonidas Kiliaris, Ming Kuang, M. Abul Masrur, Anthony M. Phillips, Yi Lu Murphey:
Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion. IEEE Trans. Veh. Technol. 58(9): 4741-4756 (2009) - [c29]Yi Lu Murphey, Robert Milton, Leonidas Kiliaris:
Driver's style classification using jerk analysis. CIVVS 2009: 23-28 - [c28]Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal:
Name Entity Recognition and Classification in Medical Text Documents. DMIN 2009: 144-150 - [c27]Yi Lu Murphey, ZhiHang Chen, Mahmoud Abou-Nasr, Ryan Baker, Timothy Feldkamp, Ilya V. Kolmanovsky:
Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics. IJCNN 2009: 2188-2194 - [c26]Jialin Jiao, Zhong Zheng, Jungme Park, Yi Lu Murphey, Yun Luo:
A Robust Multi-class Traffic Sign Detection and Classification System using Asymmetric and Symmetric features. SMC 2009: 3421-3427 - 2008
- [j7]Yi Lu Murphey, ZhiHang Chen, Lee A. Feldkamp:
An incremental neural learning framework and its application to vehicle diagnostics. Appl. Intell. 28(1): 29-49 (2008) - [c25]ZhiHang Chen, M. Abul Masrur, Yi Lu Murphey:
Intelligent vehicle power management using machine learning and fuzzy logic. FUZZ-IEEE 2008: 2351-2358 - [c24]Jungme Park, Yun Luo, Haoxing Wang, Yi Lu Murphey:
Pedestrian detection by modeling local convex shape features. ICPR 2008: 1-4 - [c23]Yi Lu Murphey, ZhiHang Chen, Leonidas Kiliaris, Jungme Park, Ming Kuang, M. Abul Masrur, Anthony M. Phillips:
Neural learning of driving environment prediction for vehicle power management. IJCNN 2008: 3755-3761 - [c22]Jungme Park, ZhiHang Chen, Leonidas Kiliaris, Yi Lu Murphey, Ming Kuang, Anthony M. Phillips, M. Abul Masrur:
Intelligent Vehicle Power Control Based on Prediction of Road Type and Traffic Congestions. VTC Fall 2008: 1-5 - [p2]Jungme Park, Yi Lu Murphey:
Edge Detection in Grayscale, Color, and Range Images. Wiley Encyclopedia of Computer Science and Engineering 2008 - [p1]Yi Lu Murphey:
Intelligent Vehicle Power Management: An Overview. Computational Intelligence in Automotive Applications 2008: 169-190 - 2007
- [j6]Guobin Ou, Yi Lu Murphey:
Multi-class pattern classification using neural networks. Pattern Recognit. 40(1): 4-18 (2007) - [c21]Yi Lu Murphey, Haoxing Wang, Guobin Ou, Lee A. Feldkamp:
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data. IJCNN 2007: 406-411 - [c20]ZhiHang Chen, Liping Huang, Yi Lu Murphey:
Incremental Learning for Text Document Classification. IJCNN 2007: 2592-2597 - 2006
- [c19]Yi Lu Murphey, M. Abul Masrur, ZhiHang Chen:
Fault Diagnostics in Electric Drives Using Machine Learning. IEA/AIE 2006: 1169-1178 - [c18]Liping Huang, Yi Lu Murphey:
Text Mining with Application to Engineering Diagnostics. IEA/AIE 2006: 1309-1317 - [c17]ZhiHang Chen, Chengwen Ni, Yi Lu Murphey:
Neural Network Approaches for Text Document Categorization. IJCNN 2006: 1054-1060 - 2005
- [c16]Liping Huang, ZhiHang Chen, Yi Lu Murphey:
UM-D at TREC 2005: Genomics Track. TREC 2005 - 2004
- [j5]Yi Lu Murphey, Hong Guo, Lee A. Feldkamp:
Neural Learning from Unbalanced Data. Appl. Intell. 21(2): 117-128 (2004) - [c15]Hongbin Jia, Yi Lu Murphey, Jianjun Shi, Tzyy-Shuh Chang:
An Intelligent Real-time Vision System for Surface Defect Detection. ICPR (3) 2004: 239-242 - [c14]Guobin Ou, Yi Lu Murphey, Lee A. Feldkamp:
Multiclass Pattern Classification Using Neural Networks. ICPR (4) 2004: 585-588 - [c13]Xin Li, XiaoCao Yao, Yi Lu Murphey, Robert Karlsen, Grant Gerhart:
A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes. ICPR (2) 2004: 761-764 - 2003
- [j4]Yi Lu Murphey, Hongbin Jia, Michael DelRose:
Registering real, virtual imagery. Pattern Recognit. 36(10): 2363-2375 (2003) - [j3]Jacob A. Crossman, Hong Guo, Yi Lu Murphey, John Cardillo:
Automotive signal fault diagnostics - part I: signal fault analysis, signal segmentation, feature extraction and quasi-optimal feature selection. IEEE Trans. Veh. Technol. 52(4): 1063-1075 (2003) - [j2]Yi Lu Murphey, Jacob A. Crossman, ZhiHang Chen, John Cardillo:
Automotive fault diagnosis - part II: a distributed agent diagnostic system. IEEE Trans. Veh. Technol. 52(4): 1076-1098 (2003) - [c12]Yi Lu Murphey, Hongbin Jia, Michael DelRose:
Mapping Virtual Objects into Real Scene. IEA/AIE 2003: 62-71 - [c11]Tie Qi Chen, Yi Lu Murphey, Robert Karlsen, Grant Gerhart:
Color Image Segmentation in Color and Spatial Domain. IEA/AIE 2003: 72-82 - [c10]Yi Lu Murphey, Jacob A. Crossman, ZhiHang Chen:
Multiple Signal Fault Detection Using Fuzzy Logic. IEA/AIE 2003: 83-92 - 2002
- [c9]Yi Lu Murphey:
Intelligent signal segment fault detection using fuzzy logic. FUZZ-IEEE 2002: 12-17 - [c8]Yi Lu Murphey, Yun Luo:
Feature Extraction for a Multiple Pattern Classification Neural Network System. ICPR (2) 2002: 220-223 - 2001
- [c7]Hong Guo, Yi Lu Murphey:
Neural Learning from Unbalanced Data Using Noise Modeling. IEA/AIE 2001: 259-268 - [c6]Tie Qi Chen, Jianxin Zhang, Youning Zhou, Yi Lu Murphey:
A Smart Machine Vision System for PCB Inspection. IEA/AIE 2001: 513-518 - [c5]Yi Lu Murphey, Jianxin Zhang, Michael DelRose:
Registering Video with Virtual Imagery using Robust Image Features. VIIP 2001: 670-675 - [c4]Yi Lu Murphey, Jianxin Zhang, Michael DelRose:
Registering Real-Scene to Virtual Imagery Using Robust Image Features. VMV 2001: 51-58 - 2000
- [j1]Hong Guo, Jacob A. Crossman, Yi Lu Murphey, Mark Coleman:
Automotive signal diagnostics using wavelets and machine learning. IEEE Trans. Veh. Technol. 49(5): 1650-1662 (2000) - [c3]Hong Guo, Yi Lu Murphey:
Automatic Feature Selection - A Hybrid Statistical Approach. ICPR 2000: 2382-2385
1990 – 1999
- 1999
- [c2]Yi Lu Murphey, Henry Lu, Sridhar Lakshmanan, Robert Karlsen, Grant Gerhart, Thomas Meitzler:
Dyta: An Intelligent System for Moving Target Detection. ICIAP 1999: 1116- - [c1]Yi Lu Murphey, Tie Qi Chen:
Incremental Learning in a Fuzzy Intelligent System. IJCAI 1999: 1376-1384
Coauthor Index
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