| Some properties of the Gaussian kernel for one class learning PF Evangelista, MJ Embrechts, BK Szymanski Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 94 | 2007 |
| Taming the curse of dimensionality in kernels and novelty detection PF Evangelista, MJ Embrechts, BK Szymanski Applied soft computing technologies: The challenge of complexity, 425-438, 2006 | 86 | 2006 |
| Fuzzy ROC curves for the 1 class SVM: Application to intrusion detection PF Evangelista, P Bonnisone, MJ Embrechts, BK Szymanski Proceedings International Joint Conference on Neural Networks, IJCNN, 2005 | 19 | 2005 |
| unsupervised fuzzy ensembles and their use in intrusion detection. PF Evangelista, PP Bonissone, MJ Embrechts, BK Szymanski ESANN, 345-350, 2005 | 13 | 2005 |
| The unbalanced classification problem: detecting breaches in security P Evangelista | 12 | 2006 |
| Geospatial Point Density. PF Evangelista, D Beskow R Journal 10 (2), 2018 | 11 | 2018 |
| Data fusion for outlier detection through pseudo-ROC curves and rank distributions PF Evangelista, MJ Embrechts, BK Szymanski The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 11 | 2006 |
| Computer intrusion detection through predictive models PF Evangelista, MJ Embrechts, BK Szymanski St. Louis, Missouri, November, 489-494, 2004 | 7 | 2004 |
| Military resource allocation as a set covering problem A Bates, Z Bell, A Mountford, P Evangelista Industrial and Systems Engineering Review 3 (1), 1-6, 2015 | 6 | 2015 |
| Modeling and integration of situational awareness and soldier target search PF Evangelista, CJ Darken, P Jungkunz The Journal of Defense Modeling and Simulation 10 (1), 3-21, 2013 | 6 | 2013 |
| Soldier power operational benefit analysis C Aten, A Michalowski, M Williams, C Stamm, P Evangelista Industrial and Systems Engineering Review 3 (2), 82-90, 2015 | 4 | 2015 |
| Fuzzy ROC curves for the one class SVM: application to intrusion detection PF Evangelista, P Bonissone, MJ Embrechts, BK Szymanski Proceedings of the International Joint Conference on Neural Networks, 2005 | 4 | 2005 |
| Analysis of Geo-Location Data to Determine Combat Vehicle Idling Times V Mittal, B Lawrence, A Rodriguez, P Evangelista, B Novoselich SAE Technical Paper, 2023 | 3 | 2023 |
| Automated text categorization based on readability fingerprints MJ Embrechts, J Linton, WF Bogaerts, B Heyns, P Evangelista Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 3 | 2007 |
| Computer intrusion detection through statistical analysis and prediction modeling P Evangelista | 3 | 2005 |
| Investigating Machine Learning for Anomaly Detection in Phasor Measurement Unit Data C McDonald, C Hogue, J Ashley, B Blejski, A Barraza, P Donner, T Leary, ... 2020 52nd North American Power Symposium (NAPS), 1-6, 2021 | 2 | 2021 |
| Nonparametric Density Estimation-A Numerical Exploration PF Evangelista, V Mittal 2022 Winter Simulation Conference (WSC), 2189-2197, 2022 | 1 | 2022 |
| Modeling and Analysis in Support of Organizational Decisions During the COVID-19 Pandemic P Evangelista, N Clark, M Dabkowski, I Kloo Industrial and Systems Engineering Review 9 (1), 2-14, 2021 | 1 | 2021 |
| Represetnation of Search and Target Acquisition Protoocl in Models and Simulation G Lovell, A Gabrovic, T Higgins, P Evangelista Industrial and Systems Engineering Review 7 (1), 31-38, 2019 | 1 | 2019 |
| Soldier load effect considerations for material acquisition S Murray, A Pattillo, M Robertson, T Ross, P Evangelista Proceedings of the International Annual Conference of the American Society …, 2017 | 1 | 2017 |
