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Gürsel Serpen
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2020 – today
- 2024
- [j30]Zeinab Zoghi, Gürsel Serpen:
Building an intrusion detection system on UNSW-NB15: Reducing the margin of error to deal with data overlap and imbalance. Concurr. Comput. Pract. Exp. 36(25) (2024) - [j29]Zeinab Zoghi, Gürsel Serpen:
UNSW-NB15 computer security dataset: Analysis through visualization. Secur. Priv. 7(1) (2024) - 2022
- [i6]Zeinab Zoghi, Gürsel Serpen:
Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection. CoRR abs/2205.06177 (2022) - 2021
- [i5]Zeinab Zoghi, Gürsel Serpen:
UNSW-NB15 Computer Security Dataset: Analysis through Visualization. CoRR abs/2101.05067 (2021) - 2020
- [i4]Firas Abbaas, Gürsel Serpen:
Evaluation of biometric user authentication using an ensemble classifier with face and voice recognition. CoRR abs/2006.00548 (2020) - [i3]Ahsan Al Zaki Khan, Gürsel Serpen:
Intrusion Detection and identification System Design and Performance Evaluation for Industrial SCADA Networks. CoRR abs/2012.09707 (2020) - [i2]Gürsel Serpen, Zhenning Gao:
Reduced Complexity Simulation of Wireless Sensor Networks for Application Development. CoRR abs/2012.12182 (2020)
2010 – 2019
- 2019
- [j28]Gürsel Serpen, Jayanta K. Debnath:
Design and performance evaluation of a parking management system for automated, multi-story and robotic parking structure. Int. J. Intell. Comput. Cybern. 12(4): 444-465 (2019) - [i1]Ehsan Aghaei, Gürsel Serpen:
Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data. CoRR abs/1911.11284 (2019) - 2018
- [j27]Gürsel Serpen, Ehsan Aghaei:
Host-based misuse intrusion detection using PCA feature extraction and kNN classification algorithms. Intell. Data Anal. 22(5): 1101-1114 (2018) - 2017
- [j26]Ehsan Aghaei, Gürsel Serpen:
Ensemble classifier for misuse detection using N-gram feature vectors through operating system call traces. Int. J. Hybrid Intell. Syst. 14(3): 141-154 (2017) - 2016
- [j25]Jiakai Li, Gürsel Serpen:
Adaptive and intelligent wireless sensor networks through neural networks: an illustration for infrastructure adaptation through Hopfield network. Appl. Intell. 45(2): 343-362 (2016) - [j24]Gürsel Serpen, Linqian Liu:
Parallel and distributed neurocomputing with wireless sensor networks. Neurocomputing 173: 1169-1182 (2016) - 2015
- [j23]Gürsel Serpen, Chao Dou:
Automated robotic parking systems: real-time, concurrent and multi-robot path planning in dynamic environments. Appl. Intell. 42(2): 231-251 (2015) - [c27]Firas S. Assaad, Gürsel Serpen:
Transformation based Score Fusion Algorithm for Multi-modal Biometric User Authentication through Ensemble Classification. Complex Adaptive Systems 2015: 410-415 - [c26]Jayanta K. Debnath, Gürsel Serpen:
Real-Time Optimal Scheduling of a Group of Elevators in a Multi-Story Robotic Fully-Automated Parking Structure. Complex Adaptive Systems 2015: 507-514 - 2014
- [c25]Gürsel Serpen, Zhenning Gao:
Complexity Analysis of Multilayer Perceptron Neural Network Embedded into a Wireless Sensor Network. Complex Adaptive Systems 2014: 192-197 - [c24]Gürsel Serpen:
Part VI: Cyber Physical Systems Preface. Complex Adaptive Systems 2014: 343-344 - [c23]Gürsel Serpen, Zhenning Gao:
Empirical Model Development for Message Delay and Drop in Wireless Sensor Networks. Complex Adaptive Systems 2014: 353-358 - 2013
- [j22]Dustin Baumgartner, Gürsel Serpen:
Performance of global-local hybrid ensemble versus boosting and bagging ensembles. Int. J. Mach. Learn. Cybern. 4(4): 301-317 (2013) - [c22]Gürsel Serpen, Jiakai Li, Linqian Liu:
AI-WSN: Adaptive and Intelligent Wireless Sensor Network. Complex Adaptive Systems 2013: 406-413 - [c21]Gürsel Serpen, Jiakai Li, Linqian Liu, Zhenning Gao:
WSN-ANN: Parallel and distributed neurocomputing with wireless sensor networks. IJCNN 2013: 1-8 - 2012
- [j21]Dustin Baumgartner, Gürsel Serpen:
A design heuristic for hybrid classification ensembles in machine learning. Intell. Data Anal. 16(2): 233-246 (2012) - [j20]Santhosh Pathical, Gürsel Serpen:
Hybrid random subsample classifier ensemble for high dimensional data sets. Int. J. Hybrid Intell. Syst. 9(2): 91-103 (2012) - [j19]Jaina Sangtani, Gürsel Serpen:
Composition of Optimal Service Workflows with Quality-of-Service Enabled Multi-Criteria Uniform Cost Search Algorithm. Int. J. Syst. Serv. Oriented Eng. 3(3): 1-25 (2012) - [c20]Gürsel Serpen:
Preface to Part V Distributed Networks. Complex Adaptive Systems 2012: 373 - [c19]Jiakai Li, Gürsel Serpen:
Simulating Heterogeneous and Larger-Scale Wireless Sensor Networks with TOSSIM TinyOS Emulator. Complex Adaptive Systems 2012: 374-379 - [c18]Gürsel Serpen, Jiakai Li:
Assessing Time Complexity of Applications for TinyOS-Mica Wireless Sensor Networks in TOSSIM Emulator. Complex Adaptive Systems 2012: 380-385 - 2011
- [j18]Dustin Baumgartner, Gürsel Serpen:
Comparative performance evaluation of global-local hybrid ensemble. Int. J. Hybrid Intell. Syst. 8(2): 59-70 (2011) - [c17]Gürsel Serpen, Jiakai Li:
Parallel and distributed computations of maximum independent set by a Hopfield neural net embedded into a wireless sensor network. Complex Adaptive Systems 2011: 390-395 - [c16]Jiakai Li, Gürsel Serpen:
nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network. Complex Adaptive Systems 2011: 396-401 - [c15]Jiakai Li, Gürsel Serpen:
TOSSIM simulation of wireless sensor network serving as hardware platform for Hopfield neural net configured for max independent set. Complex Adaptive Systems 2011: 408-412 - 2010
- [j17]Gürsel Serpen, Michael Riesen:
Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network. J. Intell. Learn. Syst. Appl. 2(3): 156-166 (2010) - [c14]Jaina Sangtani, Gürsel Serpen:
Automated Composition of Web Service Workflow - A Novel QoS-Enabled Multi-criteria Cost Search Algorithm. ENASE 2010: 122-131 - [c13]Santhosh Pathical, Gürsel Serpen:
Hybridization of Base Classifiers of Random Subsample Ensembles for Enhanced Performance in High Dimensional Feature Spaces. ICMLA 2010: 776-781 - [c12]Santhosh Pathical, Gürsel Serpen:
Comparison of subsampling techniques for random subspace ensembles. ICMLC 2010: 380-385
2000 – 2009
- 2009
- [c11]Dustin Baumgartner, Gürsel Serpen:
Large Experiment and Evaluation Tool for WEKA Classifiers. DMIN 2009: 340-346 - [c10]Gürsel Serpen:
High-Fidelity FEA Simulation through Linking with Experiment Data: A Neural Network Methodology. IC-AI 2009: 65-68 - [c9]Michael Riesen, Gürsel Serpen:
A Bayesian Belief Network Classifier for Predicting Victimization in National Crime Victimization Survey. IC-AI 2009: 648-652 - [c8]Gürsel Serpen, Santhosh Pathical:
Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble. ICMLA 2009: 740-745 - 2008
- [j16]Michael Riesen, Gürsel Serpen:
Validation of a bayesian belief network representation for posterior probability calculations on national crime victimization survey. Artif. Intell. Law 16(3): 245-276 (2008) - [j15]Gürsel Serpen, D. K. Tekkedil, M. Orra:
A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis. Comput. Biol. Medicine 38(2): 204-220 (2008) - [j14]Gürsel Serpen:
Hopfield Network as Static Optimizer: Learning the Weights and Eliminating the Guesswork. Neural Process. Lett. 27(1): 1-15 (2008) - 2006
- [j13]Gürsel Serpen, Maheshkumar Sabhnani:
Measuring similarity in feature space of knowledge entailed by two separate rule sets. Knowl. Based Syst. 19(1): 67-76 (2006) - [c7]Gürsel Serpen:
NeuroWizard: A Software Tool for Empirical Modeling of Nonlinear Processes in Engineering Design Optimization. IC-AI 2006: 396-402 - 2004
- [j12]Maheshkumar Sabhnani, Gürsel Serpen:
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set. Intell. Data Anal. 8(4): 403-415 (2004) - [j11]Gürsel Serpen:
Managing spatio-temporal complexity in Hopfield neural network simulations for large-scale static optimization. Math. Comput. Simul. 64(2): 279-293 (2004) - 2003
- [j10]Gürsel Serpen, R. Iyer, H. M. Elsamaloty, E. I. Parsai:
Automated lung outline reconstruction in ventilation-perfusion scans using principal component analysis techniques. Comput. Biol. Medicine 33(2): 119-142 (2003) - [j9]Gürsel Serpen, Yifeng Xu:
Simultaneous recurrent neural network trained with non-recurrent backpropagation algorithm for static optimisation. Neural Comput. Appl. 12(1): 1-9 (2003) - [j8]Gürsel Serpen, Yifeng Xu:
Weight Initialization for Simultaneous Recurrent Neural Network Trained with a Fixed point Learning Algorithm. Neural Process. Lett. 17(1): 33-41 (2003) - [c6]Maheshkumar Sabhnani, Gürsel Serpen:
KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection. Security and Management 2003: 310-316 - [c5]Maheshkumar Sabhnani, Gürsel Serpen:
Formulation of a Heuristic Rule for Misuse and Anomaly Detection for U2R Attacks in Solaris Operating System Environment. Security and Management 2003: 390-396 - [c4]Gürsel Serpen:
Adaptive Hopfield Network. ICANN 2003: 3-10 - [c3]Maheshkumar Sabhnani, Gürsel Serpen:
Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context. MLMTA 2003: 209-215 - 2002
- [j7]Jason Bechtel, Gürsel Serpen, Marcus Brown:
Passphrase Authentication Based on Typing Style Through an Art 2 Neural Network. Int. J. Comput. Intell. Appl. 2(2): 131-152 (2002) - [j6]Gürsel Serpen, Joel Corra:
Training Simultaneous Recurrent Neural Network with Resilient Propagation for Static Optimization. Int. J. Neural Syst. 12(3-4): 203-218 (2002) - 2001
- [j5]Gürsel Serpen, Amol Patwardhan, Jeff Geib:
The Simultaneous Recurrent Neural Network for Addressing the Scaling Problem in Static Optimization. Int. J. Neural Syst. 11(5): 477-487 (2001) - 2000
- [j4]Gürsel Serpen, David L. Livingston:
Determination of weights for relaxation recurrent neural networks. Neurocomputing 34(1-4): 145-168 (2000)
1990 – 1999
- 1999
- [j3]Gürsel Serpen:
Necessary Conditions for Stability of Solutions in Recurrent Neural Networks. Neural Parallel Sci. Comput. 7(1): 55-66 (1999) - 1997
- [j2]Gürsel Serpen, Azadeh Parvin:
On the performance of Hopfield network for graph search problem. Neurocomputing 14(4): 365-381 (1997) - [c2]Gürsel Serpen, David L. Livingston, Azadeh Parvin:
Determination of parameters in relaxation-search neural networks for optimization problems. ICNN 1997: 1256-1259 - 1996
- [c1]Krzysztof J. Cios, Lucy S. Goodenday, Kanu K. Shah, Gürsel Serpen:
A novel algorithm for classification of SPECT images of a human heart. CBMS 1996: 1-5 - 1994
- [j1]Gürsel Serpen, David L. Livingston:
Analysis of the relationship between weight parameters and stability of solutions in Hopfield networks form dynamic systems viewpoint. Neural Parallel Sci. Comput. 2(3): 361-372 (1994)
Coauthor Index
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last updated on 2024-12-10 20:48 CET by the dblp team
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