Wael Khreich

发表

A host-based anomaly detection approach by representing system calls as states of kernel modules

Abdelwahab Hamou-Lhadj, Wael Khreich, Syed Shariyar Murtaza, 2013, 2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE).

A survey of techniques for incremental learning of HMM parameters

Robert Sabourin, Eric Granger, Ali Miri, 2012, Inf. Sci..

MANUSCRIPT-BASED THESIS PRESENTED TO ÉCOLE DE TECHNOLOGIE SUPÉRIEURE

Wael Khreich, Wael Khreich, 2011 .

Anomaly Detection Techniques Based on Kappa-Pruned Ensembles

Abdelwahab Hamou-Lhadj, Md. Shariful Islam, Wael Khreich, 2018, IEEE Transactions on Reliability.

A Survey of Techniques for Event Detection in Twitter

Wael Khreich, Atefeh Farzindar, Wael Khreich, 2015, Comput. Intell..

Mining trends and patterns of software vulnerabilities

Ayse Basar Bener, Abdelwahab Hamou-Lhadj, Wael Khreich, 2016, J. Syst. Softw..

Gender Bias in Text: Labeled Datasets and Lexicons

Wael Khreich, Jad Doughman, 2022, ArXiv.

Gender Bias in Text: Origin, Taxonomy, and Implications

Wael Khreich, Jad Doughman, Maya El Gharib, 2021, GEBNLP.

Exploring the upper bound performance limit of iris biometrics using score calibration and fusion

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2011, 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM).

An international social inclusion index with application in the Organization for Economic Co-Operation and Development countries

Zeinab G. Hassan, I. Osman, Wael Khreich, 2022, Decision Analytics Journal.

An anomaly detection system based on variable N-gram features and one-class SVM

Abdelwahab Hamou-Lhadj, Chamseddine Talhi, Wael Khreich, 2017, Inf. Softw. Technol..

Adaptive ROC-based ensembles of HMMs applied to anomaly detection

Robert Sabourin, Eric Granger, Ali Miri, 2012, Pattern Recognit..

Combining heterogeneous anomaly detectors for improved software security

Abdelwahab Hamou-Lhadj, Chamseddine Talhi, Wael Khreich, 2017, J. Syst. Softw..

Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs

Robert Sabourin, Eric Granger, Ali Miri, 2010, Pattern Recognit..

Fusion of biometric systems using Boolean combination: an application to iris-based authentication

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2012, Int. J. Biom..

Boolean Combination of Classifiers in the ROC Space

Robert Sabourin, Eric Granger, Ali Miri, 2010, 2010 20th International Conference on Pattern Recognition.

Results from evaluation of three commercial off-the-shelf face recognition systems on chokepoint dataset

Eric Granger, Wael Khreich, David Bissessar, 2014 .

Total ADS: Automated Software Anomaly Detection System

Abdelwahab Hamou-Lhadj, Wael Khreich, Syed Shariyar Murtaza, 2014, 2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation.

Domain Adaptation Techniques for Machine Translation and Their Evaluation in a Real-World Setting

Fred Popowich, Anoop Sarkar, Baskaran Sankaran, 2012, Canadian Conference on AI.

Evaluation of Domain Adaptation Techniques for TRANSLI in a Real-World Environment

Wael Khreich, Atefeh Farzindar, 2012, AMTA.

A trace abstraction approach for host-based anomaly detection

Abdelwahab Hamou-Lhadj, Wael Khreich, Syed Shariyar Murtaza, 2015, 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).

An Anomaly Detection System Based on Ensemble of Detectors with Effective Pruning Techniques

Abdelwahab Hamou-Lhadj, Wael Khreich, Amirreza Soudi, 2015, 2015 IEEE International Conference on Software Quality, Reliability and Security.

A Deep Dive into Deep Cluster

Wael Khreich, Ahmad Mustapha, Wasim Masr, 2022, SSRN Electronic Journal.

A D EEP D IVE INTO D EEP C LUSTER A P REPRINT

Wael Khreich, Wassim Masri, Ahmad Mustapha, 2022 .

A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection

Robert Sabourin, Eric Granger, Ali Miri, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.