| Application of machine learning algorithms to KDD intrusion detection dataset within misuse detection context M Sabhnani, G Serpen Proceedings of International Conference on Machine Learning: Models …, 2003 | 422 | 2003 |
| Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set M Sabhnani, G Serpen Intelligent Data Analysis 8 (4), 403-415, 2004 | 225 | 2004 |
| Host-based misuse intrusion detection using PCA feature extraction and kNN classification algorithms G Serpen, E Aghaei Intelligent Data Analysis 22 (5), 1101-1114, 2018 | 73 | 2018 |
| Bayesian belief network query tool MJ Riesen, G Serpen US Patent App. 12/256,743, 2009 | 73 | 2009 |
| Complexity analysis of multilayer perceptron neural network embedded into a wireless sensor network G Serpen, Z Gao Procedia Computer Science 36, 192-197, 2014 | 64 | 2014 |
| A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis G Serpen, DK Tekkedil, M Orra Computers in biology and medicine 38 (2), 204-220, 2008 | 54 | 2008 |
| Performance analysis of probabilistic potential function neural network classifier G Serpen, H Jiang, L Allred Proceedings of artificial neural networks in engineering conference, St …, 1997 | 51 | 1997 |
| AI-WSN: Adaptive and intelligent wireless sensor network G Serpen, J Li, L Liu Procedia Computer Science 20, 406-413, 2013 | 42 | 2013 |
| KDD feature set complaint heuristic rules for R2L attack detection M Sabhnani, G Serpen Security and Management, 310-316, 2003 | 40 | 2003 |
| Automated robotic parking systems: real-time, concurrent and multi-robot path planning in dynamic environments G Serpen, C Dou Applied Intelligence 42, 231-251, 2015 | 38 | 2015 |
| UNSW‐NB15 computer security dataset: Analysis through visualization Z Zoghi, G Serpen Security and Privacy 7 (1), e331, 2024 | 35 | 2024 |
| Bayes net classifiers for prediction of renal graft status and survival period J Li, G Serpen, S Selman, M Franchetti, M Riesen, C Schneider International Journal of Biomedical and Biological Engineering 4 (3), 88-94, 2010 | 28 | 2010 |
| Hopfield network as static optimizer: Learning the weights and eliminating the guesswork G Serpen Neural Processing Letters 27, 1-15, 2008 | 27 | 2008 |
| A novel algorithm for classification of SPECT images of a human heart KJ Cios, LS Goodenday, KK Shah, G Serpen Proceedings Ninth IEEE Symposium on Computer-Based Medical Systems, 1-5, 1996 | 24 | 1996 |
| Empirical approximation for Lyapunov functions with artificial neural nets G Serpen Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 22 | 2005 |
| Real-time detection of human falls in progress: machine learning approach G Serpen, RH Khan Procedia Computer Science 140, 238-247, 2018 | 21 | 2018 |
| Ensemble classifier for misuse detection using N-gram feature vectors through operating system call traces E Aghaei, G Serpen International Journal of Hybrid Intelligent Systems 14 (3), 141-154, 2017 | 21 | 2017 |
| Transformation based score fusion algorithm for multi-modal biometric user authentication through ensemble classification FS Assaad, G Serpen Procedia Computer Science 61, 410-415, 2015 | 21 | 2015 |
| Design and performance evaluation of a parking management system for automated, multi-story and robotic parking structure G Serpen, J Debnath International Journal of Intelligent Computing and Cybernetics 12 (4), 444-465, 2019 | 20 | 2019 |
| Performance of global–local hybrid ensemble versus boosting and bagging ensembles D Baumgartner, G Serpen International Journal of Machine Learning and Cybernetics 4, 301-317, 2013 | 20 | 2013 |
Maheshkumar SabhnaniGoogleBestätigte E-Mail-Adresse bei google.com
