Y. Murphey

发表

OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data

Yi Lu Murphey, Lee A. Feldkamp, Haoxing Wang, 2007, 2007 International Joint Conference on Neural Networks.

Driver's style classification using jerk analysis

Yi Lu Murphey, Leonidas Kiliaris, Robert Milton, 2009, 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems.

Automotive fault diagnosis - part II: a distributed agent diagnostic system

Yi Lu Murphey, ZhiHang Chen, John Cardillo, 2003, IEEE Trans. Veh. Technol..

A fuzzy system for fault diagnostics in power electronics based brake-by-wire system

ZhiHang Chen, Y. Murphey, A. Masrur, 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

Text categorization using topic model and ontology networks

Yi Lu Murphey, Yinghao Huang, Y. Murphey, 2014 .

Thermal Modeling of the Controlled Atmosphere Brazing Process Using Virtual Reality Technology

Y. Murphey, T. V. Evans, E. B. Ratts, 1998 .

A preliminary study of virtual humidity sensors for vehicle systems

Y. Murphey, Chen Fang, Xipeng Wang, 2014 .

Robust Prediction of Lane Departure Based on Driver Physiological Signals

Hong Zhao, Yi Lu Murphey, Dev S. Kochhar, 2016 .

Specific humidity forecasting using recurrent Neural Network

Yi Lu Murphey, Chen Fang, Xipeng Wang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Edge Detection in Grayscale, Color, and Range Images

Jung Me Park, Yi Lu Murphey, Y. Murphey, 2008, Wiley Encyclopedia of Computer Science and Engineering.

An incremental neural learning framework and its application to vehicle diagnostics

Yi Lu Murphey, Lee A. Feldkamp, ZhiHang Chen, 2008, Applied Intelligence.

A Computational Framework for Implementation of Neural Networks on Multi-Core Machine

Yi Lu Murphey, Wenduo Wang, Paul Watta, 2015, INNS Conference on Big Data.

A Supervised Fuzzy Adaptive Resonance Theory with Distributed Weight Update

Yi Lu Murphey, Aisha Yousuf, Y. Murphey, 2010, ISNN.

Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning

Xuan Tang, Yi Lu Murphey, Xian Wei, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals

Yi Lu Murphey, Dev S. Kochhar, Yongquan Xie, 2020, IEEE Transactions on Intelligent Vehicles.

SVM Parameter Optimization Using Swarm Intelligence for Learning from Big Data

Yi Lu Murphey, Dev S. Kochhar, Yongquan Xie, 2018, ICCCI.

A hybrid system ensemble based time series signal classification on driver alertness detection

Shen Xu, Yi Lu Murphey, Dai Li, 2011, The 2011 International Joint Conference on Neural Networks.

Vehicle Position and Context Detection Using V2V Communication

Yi Lu Murphey, Paul Watta, Ximu Zhang, 2021, IEEE Transactions on Intelligent Vehicles.

Vehicle position and context detection using V2V communication with application to pre-crash detection and warning

Yi Lu Murphey, Yifu Liu, Paul Watta, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles

Yi Lu Murphey, Chang Liu, Chang Liu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Energy Optimal Control of Motor Drive System for Extending Ranges of Electric Vehicles

Yi Lu Murphey, Jing Zhang, Zhaoyang Ai, 2021, IEEE Transactions on Industrial Electronics.

Estimation of Electric Mining Haul Trucks' Mass and Road Slope Using Dual Level Reinforcement Estimator

Yi Lu Murphey, Zhaoyang Ai, Ying Zhang, 2019, IEEE Transactions on Vehicular Technology.

Power management for Plug-in Hybrid Electric Vehicles using Reinforcement Learning with trip information

Chang Liu, Yi Lu Murphey, Y. Murphey, 2014, 2014 IEEE Transportation Electrification Conference and Expo (ITEC).

Personalized detection of lane changing behavior using multisensor data fusion

Jun Gao, Yi Lu Murphey, Honghui Zhu, 2019, Computing.

Multivariate time series prediction of lane changing behavior using deep neural network

Jun Gao, Yi Lu Murphey, Honghui Zhu, 2018, Applied Intelligence.

Collision Avoidance Control for Advanced Driver Assistance System Based on Deep Discriminant Model

Jun Gao, Yi Lu Murphey, Honghui Zhu, 2018 .

An intelligent real-time vision system for surface defect detection

Yi Lu Murphey, Jianjun Shi, Hongbin Jia, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data

Yi Lu Murphey, Alexander Breg, Takchoi Yu, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Intelligent power management in a vehicular system with multiple power sources

Yi Lu Murphey, Zhihang Chen, M. Abul Masrur, 2011 .

Dynamic prediction of drivers' personal routes through machine learning

Yuan Ma, Yi Lu Murphey, Jason Meyer, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Driving maneuver early detection via sequence learning from vehicle signals and video images

Yi Lu Murphey, Xishuai Peng, Ruirui Liu, 2020, Pattern Recognit..

Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion

Yi Lu Murphey, M. Abul Masrur, Ming Kuang, 2009, IEEE Transactions on Vehicular Technology.

Sentiment Classification: Feature Selection Based Approaches Versus Deep Learning

Yi Lu Murphey, Alper Kursat Uysal, Y. Murphey, 2017, 2017 IEEE International Conference on Computer and Information Technology (CIT).

Feature extraction for a multiple pattern classification neural network system

Yi Lu Murphey, Yun Luo, Y. Murphey, 2002, Object recognition supported by user interaction for service robots.

Multi-class pattern classification using neural networks

Yi Lu Murphey, Guobin Ou, Y. Murphey, 2007, Pattern Recognit..

An SVM parameter learning algorithm scalable on large data size for driver fatigue detection

Yi Lu Murphey, Dev S. Kochhar, Yongquan Xie, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Driver Lane Change Prediction Using Physiological Measures

Yi Lu Murphey, Dev S. Kochhar, Paul Watta, 2015 .

Intelligent Hybrid Vehicle Power Control—Part II: Online Intelligent Energy Management

Qing Wang, Yi Lu Murphey, M. Abul Masrur, 2013, IEEE Transactions on Vehicular Technology.

Intelligent Hybrid Vehicle Power Control—Part I: Machine Learning of Optimal Vehicle Power

Yi Lu Murphey, M. Abul Masrur, Ming Kuang, 2012, IEEE Transactions on Vehicular Technology.

Intelligent diagnosis of open and short circuit faults in electric drive inverters for real-time applications

Yi Lu Murphey, M. Abul Masrur, Zhi Hang Chen, 2010 .

FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway

Yi Lu Murphey, Yuanxiang Li, Yunkai Liu, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Neural Learning from Unbalanced Data

Hong Guo, Yi Lu Murphey, Lee A. Feldkamp, 2004, Applied Intelligence.

Multiclass pattern classification using neural networks

Yi Lu Murphey, Lee A. Feldkamp, Guobin Ou, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Deep Symbolic Optimization for Electric Component Sizing in Fixed Topology Power Converters

Felipe Leno da Silva, Mengqi Wang, Wencong Su, 2021 .

Intelligent speed profile prediction on urban traffic networks with machine learning

Yi Lu Murphey, Ming Kuang, Ryan McGee, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks

Yi Lu Murphey, Yuanxiang Li, Xingang Liu, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Joint learning of video images and physiological signals for lane-changing behavior prediction

Yi Lu Murphey, Jun Gao, Jiangang Yi, 2021, Transportmetrica A: Transport Science.

Spatial Focal Loss for Pedestrian Detection in Fisheye Imagery

Yi Lu Murphey, Yuanxiang Li, Simon Stent, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Real time vehicle speed prediction using a Neural Network Traffic Model

Yi Lu Murphey, Dai Li, Ming Kuang, 2011, The 2011 International Joint Conference on Neural Networks.

A robust multi-class traffic sign detection and classification system using asymmetric and symmetric features

Zhong Zheng, Yi Lu Murphey, Yun Luo, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Pedestrian detection by modeling local convex shape features

Yi Lu Murphey, Yun Luo, Haoxing Wang, 2008, 2008 19th International Conference on Pattern Recognition.

Vehicle Fault Diagnostics Using Text Mining, Vehicle Engineering Structure and Machine Learning

Yi Lu Murphey, Yinghao Huang, Liping Huang, 2015 .

Incremental Learning for Text Document Classification

Yi Lu Murphey, Liping Huang, ZhiHang Chen, 2007, 2007 International Joint Conference on Neural Networks.

Multivariate time series prediction of lane changing behavior using deep neural network

Y. Murphey, Jun Gao, Honghui Zhu, 2018, Applied Intelligence.

Attention-based global context network for driving maneuvers prediction

Y. Murphey, Jun Gao, Jiangang Yi, 2022, Machine Vision and Applications.

Adaptive Window Size Based Deep Neural Network for Driving Maneuver Prediction

Jun Gao, Yi Lu Murphey, Honghui Zhu, 2020, 2020 Chinese Control And Decision Conference (CCDC).

A data-driven lane-changing behavior detection system based on sequence learning

Yi Lu Murphey, Jiangang Yi, Jun Gao, 2020, Transportmetrica B: Transport Dynamics.

A Personalized Model for Driver Lane-Changing Behavior Prediction Using Deep Neural Network

Jun Gao, Yi Lu Murphey, Honghui Zhu, 2019, 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD).

MTS-DeepNet for lane change prediction

Yi Lu Murphey, Dev S. Kochhar, Xipeng Wang, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Driver Workload in an Autonomous Vehicle

Yi Lu Murphey, Dev S. Kochhar, Yongquan Xie, 2019, SAE Technical Paper Series.

Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections

Hao Shen, Y. Murphey, Yuanxiang Li, 2019, ArXiv.

Machine learning of engineering diagnostic knowledge from unstructured verbatim text descriptions

Yi Lu Murphey, Yao Ge, Yinghao Huang, 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition

Hao Shen, Weidong Xiang, Yi Lu Murphey, 2017, Pattern Recognit..

Development of Data Mining Methodologies to Advance Knowledge of Driver Behaviors in Naturalistic Driving

Lisa J. Molnar, David W. Eby, Yi Lu Murphey, 2021 .

Image Search and Retrieval Strategies

Yi Lu Murphey, Y. Murphey, 2002 .

Dyta: an intelligent system for moving target detection

Yi Lu Murphey, Sridhar Lakshmanan, Henry Lu, 1999, Proceedings 10th International Conference on Image Analysis and Processing.

Dyta: An Intelligent System for Dynamic Target Analysis

Yi Lu Murphey, Grant R. Gerhart, Thomas J. Meitzler, 2000 .

Real Time Drowsiness Detection Based on Lateral Distance Using Wavelet Transform and Neural Network

Hong Zhao, Yi Lu Murphey, Jiaqi Ma, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Driver yawning detection based on deep convolutional neural learning and robust nose tracking

Weiwei Zhang, Yi Lu Murphey, Tianyu Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals*

Yi Lu Murphey, Yongquan Xie, Y. Murphey, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

An Intelligent System for Automatic Selection of DC-DC Converter Topology with Optimal Design

Felipe Leno da Silva, Mengqi Wang, Wencong Su, 2021 .

Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks

Yi Lu Murphey, M. Abul Masrur, ZhiHang Chen, 2011, The 2011 International Joint Conference on Neural Networks.

Battery hysteresis modeling for state of charge estimation based on Extended Kalman Filter

Yi Lu Murphey, Zhihang Chen, M. Abul Masrur, 2011, 2011 6th IEEE Conference on Industrial Electronics and Applications.

Neural learning of driving environment prediction for vehicle power management

Yi Lu Murphey, M. Abul Masrur, Ming Kuang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Intelligent vehicle power management using machine learning and fuzzy logic

Yi Lu Murphey, M. Abul Masrur, ZhiHang Chen, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Intelligent Vehicle Power Management: An Overview

Yi Lu Murphey, Y. Murphey, 2008, Computational Intelligence in Automotive Applications.

Intelligent Trip Modeling on Ramps using ramp classification and knowledge base

Yi Lu Murphey, Ming Kuang, Jungme Park, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Joint learning dictionary and discriminative features for high dimensional data

Hao Shen, Yi Lu Murphey, Yuanxiang Li, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Intelligent typo correction for text mining through machine learning

Yi Lu Murphey, Yao Ge, Yinghao Huang, 2015, Int. J. Knowl. Eng. Data Min..

Automotive diagnosis typo correction using domain knowledge and machine learning

Yi Lu Murphey, Yao Ge, Yinghao Huang, 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

A Personalized Lane-Changing Model for Advanced Driver Assistance System Based on Deep Learning and Spatial-Temporal Modeling

Yi Lu Murphey, Jiangang Yi, Jun Gao, 2019, SAE International Journal of Transportation Safety.

Time-series temporal classification using Feature Ensemble learning

Yi Lu Murphey, Ruoqian Liu, Ruoqian Liu, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Identifying knowledge domain and incremental new class learning in SVM

Yi Lu Murphey, Hongbin Jia, Tzyy-Shuh Chang, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning

Yi Lu Murphey, Yuanxiang Li, Jianhua Luo, 2019, IEEE Access.

Domain Adaptation with One-step Transformation

Yi Lu Murphey, Yuanxiang Li, Xian Wei, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Color Image Segmentation - An Approach

A. E. Harmanci, Y. Murphey, J. Muñoz-Pérez, 2011 .

Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles

Chang Liu, Y. Murphey, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Intelligent Trip Modeling for the Prediction of an Origin–Destination Traveling Speed Profile

Yi Lu Murphey, Ming Kuang, Ryan McGee, 2014, IEEE Transactions on Intelligent Transportation Systems.

Real time vehicle speed predition using gas-kinetic traffic modeling

Shen Xu, Yi Lu Murphey, Ming Kuang, 2011, 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Proceedings.

Analytical greedy control and Q-learning for optimal power management of plug-in hybrid electric vehicles

Chang Liu, Yi Lu Murphey, Y. Murphey, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-objective parameter optimization of a series hybrid electric vehicle using evolutionary algorithms

Chris Mi, Zhihang Chen, Bingzhan Zhang, 2009, 2009 IEEE Vehicle Power and Propulsion Conference.