Dyta: An Intelligent System for Moving Target Detection. - Yi Lu Murphey; Henry Lu; Sridhar Lakshmanan; Robert Karlsen; Grant Gerhart; Thomas Meitzler (ICIAP, 1999)

Incremental Learning in a Fuzzy Intelligent System. - Yi Lu Murphey; Tie Qi Chen (IJCAI, 1999)

Automatic Feature Selection - A Hybrid Statistical Approach. - Hong Guo; Yi Lu Murphey (ICPR, 2000)

Automotive signal diagnostics using wavelets and machine learning. - Hong Guo; Jacob A. Crossman; Yi Lu Murphey; Mark Coleman (IEEE Trans. Veh. Technol., 2000)

A Smart Machine Vision System for PCB Inspection. - Tie Qi Chen; Jianxin Zhang; Youning Zhou; Yi Lu Murphey (IEA/AIE, 2001)

Neural Learning from Unbalanced Data Using Noise Modeling. - Hong Guo; Yi Lu Murphey (IEA/AIE, 2001)

Registering Video with Virtual Imagery using Robust Image Features. - Yi Lu Murphey; Jianxin Zhang; Michael DelRose (VIIP, 2001)

Registering Real-Scene to Virtual Imagery Using Robust Image Features. - Yi Lu Murphey; Jianxin Zhang; Michael DelRose (VMV, 2001)

Intelligent signal segment fault detection using fuzzy logic. - Yi Lu Murphey (FUZZ-IEEE, 2002)

Feature Extraction for a Multiple Pattern Classification Neural Network System. - Yi Lu Murphey; Yun Luo (ICPR (2), 2002)

Color Image Segmentation in Color and Spatial Domain. - Tie Qi Chen; Yi Lu Murphey; Robert Karlsen; Grant Gerhart (IEA/AIE, 2003)

Multiple Signal Fault Detection Using Fuzzy Logic. - Yi Lu Murphey; Jacob A. Crossman; ZhiHang Chen 001 (IEA/AIE, 2003)

Mapping Virtual Objects into Real Scene. - Yi Lu Murphey; Hongbin Jia; Michael DelRose (IEA/AIE, 2003)

Human head detection using multi-modal object features. - Yun Luo; Yi Lu Murphey; Farid Khairallah (IJCNN, 2003)

SVM learning from large training data set. - Yi Lu Murphey; Zhihang Chen 001; May Putrus; Lee A. Feldkamp (IJCNN, 2003)

Case-base reasoning in vehicle fault diagnostics. - Ziyan Wen; Jacob A. Crossman; John Cardillo; Yi Lu Murphey (IJCNN, 2003)

Registering real, virtual imagery. - Yi Lu Murphey; Hongbin Jia; Michael DelRose (Pattern Recognit., 2003)

Automotive signal fault diagnostics - part I: signal fault analysis, signal segmentation, feature extraction and quasi-optimal feature selection. - Jacob A. Crossman; Hong Guo; Yi Lu Murphey; John Cardillo (IEEE Trans. Veh. Technol., 2003)

Automotive fault diagnosis - part II: a distributed agent diagnostic system. - Yi Lu Murphey; Jacob A. Crossman; ZhiHang Chen 001; John Cardillo (IEEE Trans. Veh. Technol., 2003)

An Intelligent Real-time Vision System for Surface Defect Detection. - Hongbin Jia; Yi Lu Murphey; Jianjun Shi; Tzyy-Shuh Chang (ICPR (3), 2004)

A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes. - Xin Li; XiaoCao Yao; Yi Lu Murphey; Robert Karlsen; Grant Gerhart (ICPR (2), 2004)

Multiclass Pattern Classification Using Neural Networks. - Guobin Ou; Yi Lu Murphey; Lee A. Feldkamp (ICPR (4), 2004)

Neural Learning from Unbalanced Data. - Yi Lu Murphey; Hong Guo; Lee A. Feldkamp (Appl. Intell., 2004)

Identifying knowledge domain and incremental new class learning in SVM. - Hongbin Jia; Yi Lu Murphey; Daniel Gutchess; Tzyy-Shuh Chang (IJCNN, 2005)

Speaker identification using speech and lip features. - Guobin Ou; Xin Li; XiaoCao Yao; Hongbin Jia; Yi Lu Murphey (IJCNN, 2005)

Protein secondary structure prediction using machine learning. - BaiFang Zhang; Zhihang Chen 001; Yi Lu Murphey (IJCNN, 2005)

UM-D at TREC 2005: Genomics Track. - Liping Huang; ZhiHang Chen 001; Yi Lu Murphey (TREC, 2005)

Text Mining with Application to Engineering Diagnostics. - Liping Huang; Yi Lu Murphey (IEA/AIE, 2006)

Fault Diagnostics in Electric Drives Using Machine Learning. - Yi Lu Murphey; M. Abul Masrur; ZhiHang Chen 001 (IEA/AIE, 2006)

Neural Network Approaches for Text Document Categorization. - Zhihang Chen 001; Chengwen Ni; Yi Lu Murphey (IJCNN, 2006)

Incremental Learning for Text Document Classification. - ZhiHang Chen 001; Liping Huang; Yi Lu Murphey (IJCNN, 2007)

OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data. - Yi Lu Murphey; Haoxing Wang; Guobin Ou; Lee A. Feldkamp (IJCNN, 2007)

Multi-class pattern classification using neural networks. - Guobin Ou; Yi Lu Murphey (Pattern Recognit., 2007)

Intelligent vehicle power management using machine learning and fuzzy logic. - ZhiHang Chen 001; M. Abul Masrur; Yi Lu Murphey (FUZZ-IEEE, 2008)

Pedestrian detection by modeling local convex shape features. - Jungme Park; Yun Luo; Haoxing Wang; Yi Lu Murphey (ICPR, 2008)

Neural learning of driving environment prediction for vehicle power management. - Yi Lu Murphey; ZhiHang Chen 001; Leonidas Kiliaris; Jungme Park; Ming Kuang; M. Abul Masrur; Anthony M. Phillips (IJCNN, 2008)

Intelligent Vehicle Power Control Based on Prediction of Road Type and Traffic Congestions. - Jungme Park; Zhihang Chen 001; Leonidas Kiliaris; Yi Lu Murphey; Ming Kuang; Anthony M. Phillips; M. Abul Masrur (VTC Fall, 2008)

An incremental neural learning framework and its application to vehicle diagnostics. - Yi Lu Murphey; ZhiHang Chen 001; Lee A. Feldkamp (Appl. Intell., 2008)

Edge Detection in Grayscale, Color, and Range Images. - Jungme Park; Yi Lu Murphey (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Intelligent Vehicle Power Management: An Overview. - Yi Lu Murphey (Computational Intelligence in Automotive Applications, 2008)

Driver's style classification using jerk analysis. - Yi Lu Murphey; Robert Milton; Leonidas Kiliaris (CIVVS, 2009)

Name Entity Recognition and Classification in Medical Text Documents. - Yinghao Huang; Naeem Seliya; Yi Lu Murphey; Roy B. Friedenthal (DMIN, 2009)

Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics. - Yi Lu Murphey; Zhihang Chen 001; Mahmoud Abou-Nasr; Ryan Baker 003; Timothy Feldkamp; Ilya V. Kolmanovsky (IJCNN, 2009)

A Robust Multi-class Traffic Sign Detection and Classification System using Asymmetric and Symmetric features. - Jialin Jiao; Zhong Zheng; Jungme Park; Yi Lu Murphey; Yun Luo (SMC, 2009)

Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion. - Jungme Park; Zhihang Chen 001; Leonidas Kiliaris; Ming Kuang; M. Abul Masrur; Anthony M. Phillips; Yi Lu Murphey (IEEE Trans. Veh. Technol., 2009)

Classifying Independent Medical Examination Reports using SOM Networks. - Yinghao Huang; Naeem Seliya; Yi Lu Murphey; Roy B. Friedenthal (DMIN, 2010)

A Multi-agent System for Complex Vehicle Fault Diagnostics and Health Monitoring. - Yi Lu Murphey; Zhihang Chen 001 (ICECCS, 2010)

Time-series temporal classification using Feature Ensemble learning. - Ruoqian Liu; Yi Lu Murphey (IJCNN, 2010)

Intelligent vehicle power management through neural learning. - Jungme Park; ZhiHang Chen 001; Yi Lu Murphey (IJCNN, 2010)

Vehicle detection using Bayesian Network Enhanced Cascades Classification (BNECC). - Shen Xu; Yi Lu Murphey (IJCNN, 2010)

A Supervised Fuzzy Adaptive Resonance Theory with Distributed Weight Update. - Aisha Yousuf; Yi Lu Murphey (ISNN (1), 2010)

Real time vehicle speed predition using gas-kinetic traffic modeling. - Ruoqian Liu; Shen Xu; Jungme Park; Yi Lu Murphey; Johannes Kristinsson; Ryan McGee; Ming Kuang; Tony Phillips (CIVTS, 2011)

Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks. - Zhihang Chen 001; Shiqi Qiu; M. Abul Masrur; Yi Lu Murphey (IJCNN, 2011)

Real time vehicle speed prediction using a Neural Network Traffic Model. - Jungme Park; Dai Li; Yi Lu Murphey; Johannes Kristinsson; Ryan McGee; Ming Kuang; Tony Phillips (IJCNN, 2011)

A hybrid system ensemble based time series signal classification on driver alertness detection. - Shen Xu; Ruoqian Liu; Dai Li; Yi Lu Murphey (IJCNN, 2011)

Driving course prediction for vehicle handling maneuvers. - Ruoqian Liu; Hai Yu; Ryan McGee; Yi Lu Murphey (ACC, 2012)

Statistical modeling and signal selection in multivariate time series pattern classification. - Ruoqian Liu; Shen Xu; Chen Fang; Yung-wen Liu; Yi Lu Murphey; Dev S. Kochhar (ICPR, 2012)

Intelligent Hybrid Vehicle Power Control - Part I: Machine Learning of Optimal Vehicle Power. - Yi Lu Murphey; Jungme Park; Zhihang Chen 001; Ming Kuang; M. Abul Masrur; Anthony M. Phillips (IEEE Trans. Veh. Technol., 2012)

Machine learning of engineering diagnostic knowledge from unstructured verbatim text descriptions. - Yinghao Huang; Yi Lu Murphey; Yao Ge (CIDM, 2013)

Automotive diagnosis typo correction using domain knowledge and machine learning. - Yinghao Huang; Yi Lu Murphey; Yao Ge (CIDM, 2013)

Intelligent speed profile prediction on urban traffic networks with machine learning. - Jungme Park; Yi Lu Murphey; Johannes Kristinsson; Ryan McGee; Ming Kuang; Tony Phillips (IJCNN, 2013)

Intelligent Energy Management in a Low Cost Hybrid Electric Vehicle Power System. - Yi Lu Murphey; Jungme Park; M. Abul Masrur (VTC Fall, 2013)

Intelligent Hybrid Vehicle Power Control - Part II: Online Intelligent Energy Management. - Yi Lu Murphey; Jungme Park; Leonidas Kiliaris; Ming Kuang; M. Abul Masrur; Anthony M. Phillips; Qing Wang (IEEE Trans. Veh. Technol., 2013)

Automatic text categorization using a system of high-precision and high-recall models. - Dai Li; Yi Lu Murphey (CIDM, 2014)

Specific humidity forecasting using recurrent Neural Network. - Chen Fang; Xipeng Wang; Yi Lu Murphey; David Weber; Perry MacNeille (IJCNN, 2014)

A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle. - Chaomin Luo; Jiyong Gao; Yi Lu Murphey; Gene Eu Jan (IJCNN, 2014)

Intelligent Trip Modeling on Ramps using ramp classification and knowledge base. - Xipeng Wang; Jungme Park; Yi Lu Murphey; Johannes Kristinsson; Ming Kuang; Tony Phillips (IJCNN, 2014)

Intelligent Trip Modeling for the Prediction of an Origin-Destination Traveling Speed Profile. - Jungme Park; Yi Lu Murphey; Ryan McGee; Johannes Kristinsson; Ming L. Kuang; Anthony M. Phillips (IEEE Trans. Intell. Transp. Syst., 2014)

Adaptive Fuzzy Prediction for Automotive Applications Usage. - Shiqi Qiu; Ryan A. McGee; Yi Lu Murphey (ICMLA, 2015)

Driver yawning detection based on deep convolutional neural learning and robust nose tracking. - Weiwei Zhang; Yi Lu Murphey; Tianyu Wang; Qijie Xu (IJCNN, 2015)

Building Efficient Probability Transition Matrix Using Machine Learning from Big Data for Personalized Route Prediction. - Xipeng Wang; Yuan Ma; Junru Di; Yi Lu Murphey; Shiqi Qiu; Johannes Kristinsson; Jason Meyer; Finn Tseng; Timothy Feldkamp (INNS Conference on Big Data, 2015)

A Computational Framework for Implementation of Neural Networks on Multi-Core Machine. - Wenduo Wang; Yi Lu Murphey; Paul Watta (INNS Conference on Big Data, 2015)

Real Time Drowsiness Detection Based on Lateral Distance Using Wavelet Transform and Neural Network. - Jiaqi Ma; Yi Lu Murphey; Hong Zhao (SSCI, 2015)

Intelligent typo correction for text mining through machine learning. - Yinghao Huang; Yi Lu Murphey; Yao Ge (Int. J. Knowl. Eng. Data Min., 2015)

Joint learning dictionary and discriminative features for high dimensional data. - Xian Wei; Yuanxiang Li; Hao Shen 002; Martin Kleinsteuber; Yi Lu Murphey (ICPR, 2016)

MTS-DeepNet for lane change prediction. - Xipeng Wang; Yi Lu Murphey; Dev S. Kochhar (IJCNN, 2016)

Dynamic prediction of drivers' personal routes through machine learning. - Yue Dai; Yuan Ma; Qianyi Wang; Yi Lu Murphey; Shiqi Qiu; Johannes Kristinsson; Jason Meyer; Finn Tseng; Timothy Feldkamp (SSCI, 2016)

Vehicle position and context detection using V2V communication with application to pre-crash detection and warning. - Yifu Liu; Paul Watta; Bochen Jia; Yi Lu Murphey (SSCI, 2016)

Intelligent Energy Management and Optimization in a Hybridized All-Terrain Vehicle With Simple On-Off Control of the Internal Combustion Engine. - Jungme Park; Yi Lu Murphey; M. Abul Masrur (IEEE Trans. Veh. Technol., 2016)

Sentiment Classification: Feature Selection Based Approaches Versus Deep Learning. - Alper Kursat Uysal; Yi Lu Murphey (CIT, 2017)

Accurate vehicle position estimation using a Kalman filter and neural network-based approach. - Stanley S. Baek; Chang Liu 052; Paul Watta; Yi Lu Murphey (SSCI, 2017)

Analytical greedy control and Q-learning for optimal power management of plug-in hybrid electric vehicles. - Chang Liu 052; Yi Lu Murphey (SSCI, 2017)

Accurate pedestrian path prediction using neural networks. - Yi Lu Murphey; Chang Liu 052; Muhammad Tayyab; Divyendu Narayan (SSCI, 2017)

Traffic sign recognition with transfer learning. - Xishuai Peng; Yuanxiang Li; Xian Wei; Jianhua Luo; Yi Lu Murphey (SSCI, 2017)

An SVM parameter learning algorithm scalable on large data size for driver fatigue detection. - Yongquan Xie; Chengqi Bian; Yi Lu Murphey; Dev S. Kochhar (SSCI, 2017)

Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition. - Xian Wei; Yuanxiang Li; Hao Shen 002; Weidong Xiang; Yi Lu Murphey (Pattern Recognit., 2017)

SVM Parameter Optimization Using Swarm Intelligence for Learning from Big Data. - Yongquan Xie; Yi Lu Murphey; Dev S. Kochhar (ICCCI (1), 2018)

Driving Maneuver Detection via Sequence Learning from Vehicle Signals and Video Images. - Xishuai Peng; Ruirui Liu; Yi Lu Murphey; Simon Stent; Yuanxiang Li (ICPR, 2018)

Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks. - Yuzhou Shi; Yuanxiang Li; Jiawei Liu; Xingang Liu; Yi Lu Murphey (ICPR, 2018)

Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data. - Alexander Breg; Yi Lu Murphey; Takchoi Yu (SSCI, 2018)

FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway. - Yunkai Liu; Yuanxiang Li; Jiawei Liu; Xishuai Peng; Yongjun Zhou; Yi Lu Murphey (SSCI, 2018)

Domain Adaptation with One-step Transformation. - Xishuai Peng; Yuanxiang Li; Yi Lu Murphey; Xian Wei; Jianhua Luo (SSCI, 2018)

Real-time and Robust Driver Yawning Detection with Deep Neural Networks. - Yongquan Xie; Kexun Chen; Yi Lu Murphey (SSCI, 2018)

Multivariate time series prediction of lane changing behavior using deep neural network. - Jun Gao; Yi Lu Murphey; Honghui Zhu (Appl. Intell., 2018)

RGB-NIR image categorization with prior knowledge transfer. - Xishuai Peng; Yuanxiang Li; Xian Wei; Jianhua Luo; Yi Lu Murphey (EURASIP J. Image Video Process., 2018)

Attention-Driven Driving Maneuver Detection System. - Xishuai Peng; Ava Zhao; Song Wang; Yi Lu Murphey; Yuanxiang Li (IJCNN, 2019)

Detection of driver stress in real-world driving environment using physiological signals. - Ke Wang; Yi Lu Murphey; Yating Zhou; Xin Hu; Ximu Zhang (INDIN, 2019)

Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals. - Yongquan Xie; Yi Lu Murphey; Dev S. Kochhar (INDIN, 2019)

User-Specific Music recommendation Applied to Information and Computation Resource Constrained System. - Zhechen Wang; Yongquan Xie; Yi Lu Murphey (SSCI, 2019)

Sequential Information Bottleneck Network for RUL Prediction. - Yuxuan Zhang; Yuanxiang Li; Lei Jia; Xian Wei; Yi Lu Murphey (SSCI, 2019)

Spatial Focal Loss for Pedestrian Detection in Fisheye Imagery. - Xishuai Peng; Yi Lu Murphey; Simon Stent; Yuanxiang Li; Zihao Zhao (WACV, 2019)

Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning. - Xishuai Peng; Yuanxiang Li; Yi Lu Murphey; Jianhua Luo (IEEE Access, 2019)

Personalized detection of lane changing behavior using multisensor data fusion. - Jun Gao; Yi Lu Murphey; Honghui Zhu (Computing, 2019)

Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. - Xian Wei; Hao Shen 002; Yuanxiang Li; Xuan Tang; Fengxiang Wang; Martin Kleinsteuber; Yi Lu Murphey (IEEE Trans. Neural Networks Learn. Syst., 2019)

Estimation of Electric Mining Haul Trucks' Mass and Road Slope Using Dual Level Reinforcement Estimator. - Ying Zhang 060; Yingjie Zhang; Zhaoyang Ai; Yun Feng; Jing Zhang; Yi Lu Murphey (IEEE Trans. Veh. Technol., 2019)

Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals. - Yongquan Xie; Yi Lu Murphey (EAIS, 2020)

Driving maneuver early detection via sequence learning from vehicle signals and video images. - Xishuai Peng; Yi Lu Murphey; Ruirui Liu; Yuanxiang Li (Pattern Recognit., 2020)

Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals. - Yongquan Xie; Yi Lu Murphey; Dev S. Kochhar (IEEE Trans. Intell. Veh., 2020)

Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles. - Chang Liu 052; Yi Lu Murphey (IEEE Trans. Neural Networks Learn. Syst., 2020)

F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms. - Yongquan Xie; Finn Tseng; Johannes Kristinsson; Shiqi Qiu; Yi Lu Murphey (IEA/AIE (2), 2021)

Driving Maneuver Detection using Features of Driver's attention and Face Shift through Deeping Learning. - Song Wang; Yi Lu Murphey (IJCNN, 2021)

Personalized Session-Based Recommendation Using Graph Attention Networks. - Yongquan Xie; Zhengru Li; Tian Qin; Finn Tseng; Johannes Kristinsson; Shiqi Qiu; Yi Lu Murphey (IJCNN, 2021)

Pedestrian Re-identification using a Surround-view Fisheye Camera System. - Zixuan Zhao; Zihao Zhao; Song Wang; Paul Watta; Yi Lu Murphey (IJCNN, 2021)

Energy Optimal Control of Motor Drive System for Extending Ranges of Electric Vehicles. - Ying Zhang 060; Yingjie Zhang; Zhaoyang Ai; Yi Lu Murphey; Jing Zhang (IEEE Trans. Ind. Electron., 2021)

Vehicle Position and Context Detection Using V2V Communication. - Paul Watta; Ximu Zhang; Yi Lu Murphey (IEEE Trans. Intell. Veh., 2021)

Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons. - Zixuan Zhao; Siyu Yang; Christopher Sauer; Atsushi Teraji; Yasuhiro Yamauchi; Takeshi Hirata; A. J. Bisci; Yi Lu Murphey (IJCNN, 2022)

Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning. - Van-Hai Bui; Fangyuan Chang; Wencong Su; Mengqi Wang; Yi Lu Murphey; Felipe Leno da Silva; Can Huang; Lingxiao Xue; Ruben Glatt (IEEE Access, 2022)

Attention-based global context network for driving maneuvers prediction. - Jun Gao; Jiangang Yi; Yi Lu Murphey (Mach. Vis. Appl., 2022)

Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters. - Van-Hai Bui; Fangyuan Chang; Wencong Su; Mengqi Wang; Yi Lu Murphey; Felipe Leno da Silva; Can Huang; Lingxiao Xue; Ruben Glatt (ICNC, 2023)

Multi-scale space-time transformer for driving behavior detection. - Jun Gao; Jiangang Yi; Yi Lu Murphey (Multim. Tools Appl., 2023)

Graph matching for knowledge graph alignment using edge-coloring propagation. - Yuxuan Zhang; Yuanxiang Li; Xian Wei; Yongsheng Yang; Lei Liu; Yi Lu Murphey (Pattern Recognit., 2023)

Investigating Physiological Responses During Driving as Potential Biomarkers of Cognitive Decline in Seniors Using Decision Tree Ensemble Modeling. - Anu M. Kumar; Yi Lu Murphey; Amanda Cook Maher; Carol Persad; Robert Koeppe; Bruno Giordani (BHI, 2024)

Accurate Classification and Prediction of Remote Vehicle Position Classes Using V2V Communication and Deep Learning. - Song Wang; Paul Watta; Yi Lu Murphey (IEEE Access, 2024)

An efficient driving behavior prediction approach using physiological auxiliary and adaptive LSTM. - Jun Gao; Jiangang Yi; Yi Lu Murphey (Mach. Vis. Appl., 2024)