Gürsel Serpen

发表

Part VI: Cyber Physical Systems Preface

Gürsel Serpen, 2014, Complex Adaptive Systems.

Gürsel Serpen, Maheshkumar Sabhnani, 2006, Knowl. Based Syst..

Composition of Optimal Service Workflows with Quality-of-Service Enabled Multi-Criteria Uniform Cost Search Algorithm

Gürsel Serpen, Jaina Sangtani, 2012, Int. J. Syst. Serv. Oriented Eng..

A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis

Gürsel Serpen, D. K. Tekkedil, M. Orra, 2008, Comput. Biol. Medicine.

Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network

Gürsel Serpen, Michael Riesen, G. Serpen, 2010, J. Intell. Learn. Syst. Appl..

Hybridization of Base Classifiers of Random Subsample Ensembles for Enhanced Performance in High Dimensional Feature Spaces

Gürsel Serpen, Santhosh Pathical, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Assessing Time Complexity of Applications for TinyOS-Mica Wireless Sensor Networks in TOSSIM Emulator

Gürsel Serpen, Jiakai Li, 2012, Complex Adaptive Systems.

Hybrid random subsample classifier ensemble for high dimensional data sets

Gürsel Serpen, Santhosh Pathical, G. Serpen, 2012, Int. J. Hybrid Intell. Syst..

Training Simultaneous Recurrent Neural Network with Resilient Propagation for Static Optimization

Gürsel Serpen, Joel Corra, 2002, Int. J. Neural Syst..

Complexity Analysis of Multilayer Perceptron Neural Network Embedded into a Wireless Sensor Network

Gürsel Serpen, Zhenning Gao, G. Serpen, 2014, Complex Adaptive Systems.

Simultaneous recurrent neural network trained with non-recurrent backpropagation algorithm for static optimisation

Gürsel Serpen, Yifeng Xu, 2003, Neural Computing & Applications.

Formulation of a Heuristic Rule for Misuse and Anomaly Detection for U2R Attacks in Solaris Operating System Environment

Gürsel Serpen, Maheshkumar Sabhnani, 2003, Security and Management.

A design heuristic for hybrid classification ensembles in machine learning

Gürsel Serpen, Dustin Baumgartner, G. Serpen, 2012, Intell. Data Anal..

AI-WSN: Adaptive and Intelligent Wireless Sensor Network

Gürsel Serpen, Jiakai Li, Linqian Liu, 2013, Complex Adaptive Systems.

Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble

Gürsel Serpen, Santhosh Pathical, G. Serpen, 2009, 2009 International Conference on Machine Learning and Applications.

Comparative performance evaluation of global-local hybrid ensemble

Gürsel Serpen, Dustin Baumgartner, G. Serpen, 2011, Int. J. Hybrid Intell. Syst..

Parallel and distributed neurocomputing with wireless sensor networks

Gürsel Serpen, Linqian Liu, 2016, Neurocomputing.

NeuroWizard: A Software Tool for Empirical Modeling of Nonlinear Processes in Engineering Design Optimization

Gürsel Serpen, G. Serpen, 2006, IC-AI.

Adaptive Hopfield Network

Gürsel Serpen, 2003, ICANN.

Simulating Heterogeneous and Larger-Scale Wireless Sensor Networks with TOSSIM TinyOS Emulator

Gürsel Serpen, Jiakai Li, 2012, Complex Adaptive Systems.

Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context

Gürsel Serpen, Maheshkumar Sabhnani, G. Serpen, 2003, MLMTA.

The Simultaneous Recurrent Neural Network for Addressing the Scaling Problem in Static Optimization

Gürsel Serpen, Amol Patwardhan, Jeff Geib, 2001, Int. J. Neural Syst..

Hopfield Network as Static Optimizer: Learning the Weights and Eliminating the Guesswork

Gürsel Serpen, G. Serpen, 2008, Neural Processing Letters.

A novel algorithm for classification of SPECT images of a human heart

Gürsel Serpen, Krzysztof J. Cios, Lucy S. Goodenday, 1996, Proceedings Ninth IEEE Symposium on Computer-Based Medical Systems.

KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection

Gürsel Serpen, Maheshkumar Sabhnani, 2003, Security and Management.

Determination of weights for relaxation recurrent neural networks

Gürsel Serpen, David L. Livingston, G. Serpen, 2000, Neurocomputing.

Comparison of subsampling techniques for random subspace ensembles

Gürsel Serpen, Santhosh Pathical, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Necessary Conditions for Stability of Solutions in Recurrent Neural Networks

Gürsel Serpen, 1999, Neural Parallel Sci. Comput..

High-Fidelity FEA Simulation through Linking with Experiment Data: A Neural Network Methodology

Gürsel Serpen, G. Serpen, 2009, IC-AI.

Validation of a bayesian belief network representation for posterior probability calculations on national crime victimization survey

Gürsel Serpen, Michael Riesen, 2008, Artificial Intelligence and Law.

Large Experiment and Evaluation Tool for WEKA Classifiers

Gürsel Serpen, Dustin Baumgartner, 2009, DMIN.

WSN-ANN: Parallel and distributed neurocomputing with wireless sensor networks

Gürsel Serpen, Zhenning Gao, Jiakai Li, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Performance of global–local hybrid ensemble versus boosting and bagging ensembles

Gürsel Serpen, Dustin Baumgartner, G. Serpen, 2012, International Journal of Machine Learning and Cybernetics.

Automated lung outline reconstruction in ventilation-perfusion scans using principal component analysis techniques

Gürsel Serpen, E. I. Parsai, R. Iyer, 2003, Comput. Biol. Medicine.

Preface to Part V Distributed Networks

Gürsel Serpen, 2012, Complex Adaptive Systems.

Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set

Gürsel Serpen, Maheshkumar Sabhnani, G. Serpen, 2004, Intell. Data Anal..

Analysis of the relationship between weight parameters and stability of solutions in Hopfield networks form dynamic systems viewpoint

Gürsel Serpen, David L. Livingston, 1994, Neural Parallel Sci. Comput..

Weight Initialization for Simultaneous Recurrent Neural Network Trained with a Fixed-point Learning Algorithm

Gürsel Serpen, Yifeng Xu, 2004, Neural Processing Letters.

Empirical Model Development for Message Delay and Drop in Wireless Sensor Networks

Gürsel Serpen, Zhenning Gao, 2014, Complex Adaptive Systems.

Parallel and distributed computations of maximum independent set by a Hopfield neural net embedded into a wireless sensor network

Gürsel Serpen, Jiakai Li, 2011, Complex Adaptive Systems.

nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network

Gürsel Serpen, Jiakai Li, 2011, Complex Adaptive Systems.

On the performance of Hopfield network for graph search problem

Gürsel Serpen, Azadeh Parvin, 1997, Neurocomputing.

Host-based misuse intrusion detection using PCA feature extraction and kNN classification algorithms

Gürsel Serpen, Ehsan Aghaei, G. Serpen, 2018, Intell. Data Anal..

Automated robotic parking systems: real-time, concurrent and multi-robot path planning in dynamic environments

Gürsel Serpen, Chao Dou, 2014, Applied Intelligence.

Passphrase Authentication Based on Typing Style Through an Art 2 Neural Network

Gürsel Serpen, Marcus Brown, Jason Bechtel, 2002, Int. J. Comput. Intell. Appl..

Transformation based Score Fusion Algorithm for Multi-modal Biometric User Authentication through Ensemble Classification

Gürsel Serpen, Firas S. Assaad, 2015, Complex Adaptive Systems.

Automated Composition of Web Service Workflow - A Novel QoS-Enabled Multi-criteria Cost Search Algorithm

Gürsel Serpen, Jaina Sangtani, 2010, ENASE.

Adaptive and intelligent wireless sensor networks through neural networks: an illustration for infrastructure adaptation through Hopfield network

Gürsel Serpen, Jiakai Li, 2016, Applied Intelligence.

Ensemble classifier for misuse detection using N-gram feature vectors through operating system call traces

Gürsel Serpen, Ehsan Aghaei, 2017, Int. J. Hybrid Intell. Syst..

Managing spatio-temporal complexity in Hopfield neural network simulations for large-scale static optimization

Gürsel Serpen, 2004, Math. Comput. Simul..

TOSSIM simulation of wireless sensor network serving as hardware platform for Hopfield neural net configured for max independent set

Gürsel Serpen, Jiakai Li, 2011, Complex Adaptive Systems.

A Bayesian Belief Network Classifier for Predicting Victimization in National Crime Victimization Survey

Gürsel Serpen, Michael Riesen, G. Serpen, 2009, IC-AI.