| Deception detection using real-life trial data V Pérez-Rosas, M Abouelenien, R Mihalcea, M Burzo Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015 | 107 | 2015 |
| A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data X Yuan, L Xie, M Abouelenien Pattern Recognition 77, 160-172, 2018 | 74 | 2018 |
| Eigenfaces vs. fisherfaces vs. ICA for face recognition; a comparative study M Sharkas, M Abou Elenien 2008 9th International Conference on Signal Processing, 914-919, 2008 | 59 | 2008 |
| Verbal and Nonverbal Clues for Real-life Deception Detection V Pérez-Rosas, M Abouelenien, R Mihalcea, Y Xiao, CJ Linton, M Burzo 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP …, 2015 | 52 | 2015 |
| Deception detection using a multimodal approach M Abouelenien, V Pérez-Rosas, R Mihalcea, M Burzo Proceedings of the 16th international conference on multimodal interaction …, 2014 | 47 | 2014 |
| Detecting Deceptive Behavior Via Integration of Discriminative Features from Multiple Modalities M Abouelenien, V Perez-Rosas, M Burzo, R Mihalcea IEEE Transactions on Information Forensics and Security, 2017 | 43 | 2017 |
| Human acute stress detection via integration of physiological signals and thermal imaging M Abouelenien, M Burzo, R Mihalcea Proceedings of the 9th ACM International Conference on PErvasive …, 2016 | 24 | 2016 |
| Using infrared thermography and biosensors to detect thermal discomfort in a building’s inhabitants M Burzo, M Abouelenien, V Pérez-Rosas, C Wicaksono, Y Tao, ... ASME 2014 International Mechanical Engineering Congress and Exposition, 2014 | 16 | 2014 |
| A Multi-class Boosting Method for Learning from Imbalanced Data X Yuan, M Abouelenien International Journal of Granular Computing, Rough Sets and Intelligent …, 2015 | 15 | 2015 |
| Gender-based multimodal deception detection M Abouelenien, V Pérez-Rosas, B Zhao, R Mihalcea, M Burzo Proceedings of the Symposium on Applied Computing, 137-144, 2017 | 13 | 2017 |
| Analyzing thermal and visual clues of deception for a non-contact deception detection approach M Abouelenien, R Mihalcea, M Burzo Proceedings of the 9th ACM International Conference on PErvasive …, 2016 | 13 | 2016 |
| Multimodal Sensing of Thermal Discomfort for Adaptive Energy Saving in Buildings M Burzo, C Wicaksono, M Abouelenien, VP erez-Rosas, R Mihalcea, ... iiSBE Net Zero Built Environment 2014 Symposium, 2014 | 13 | 2014 |
| Cluster-based sampling and ensemble for bleeding detection in capsule endoscopy videos M Abouelenien, X Yuan, B Giritharan, J Liu, S Tang American Journal of Science and Engineering 2 (1), 24-32, 2013 | 12 | 2013 |
| Multimodal gender detection M Abouelenien, V Perez-Rosas, R Mihalcea, M Burzo Proceedings of the 19th ACM International Conference on Multimodal …, 2017 | 11 | 2017 |
| Multimodal Deception Detection M Burzo, M Abouelenien, V Perez-Rosas, R Mihalcea | 10 | 2018 |
| Cascaded Multimodal Analysis of Alertness Related Features for Drivers Safety Applications M Abouelenien, M Burzo, R Mihalcea The 8th ACM International Conference on PErvasive Technologies Related to …, 2015 | 9 | 2015 |
| SampleBoost: Improving boosting performance by destabilizing weak learners based on weighted error analysis M Abouelenien, X Yuan Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 9 | 2012 |
| Trimodal analysis of deceptive behavior M Abouelenien, R Mihalcea, M Burzo Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection, 9-13, 2015 | 6 | 2015 |
| A boosting-based decision fusion method for learning from large, imbalanced face data set X Yuan, M Abouelenien, M Elhoseny Quantum Computing: An Environment for Intelligent Large Scale Real …, 2018 | 5 | 2018 |
| Feature and decision level fusion for action recognition M Abouelenien, Y Wan, A Saudagar 2012 Third International Conference on Computing, Communication and …, 2012 | 5 | 2012 |
