Journals

1. K. Das, M. Papakostas, Kais Riani, A. Gasiorowski, M. Abouelenien, M. Burzo, and R. Mihalcea, “Detection and Recognition of Driver Distraction Using Multimodal Signals” in ACM Transaction on Interactive Intelligent Systems, vol. 12, no. 4, 2022. [PDF]
   
   
2. U. M. Sen, V. Perez-Rosas, B. Yanikoglu, M. Abouelenien, M. Burzo and R. Mihalcea, "Multimodal Deception Detection using Real-Life Trial Data," in IEEE Transactions on Affective Computing, vol. 13, no. 1, pp. 306-319, 2022. [PDF]
   
   
3. M. Kamboj, C. Hessler, P. Asnani, K. Riani and M. Abouelenien, "Multimodal Political Deception Detection," in IEEE MultiMedia, vol. 28, no. 1, pp. 94-102, 2021. [PDF]
   
   
4. M. Papakostas, K. Das, M. Abouelenien, R. Mihalcea, M. Burzo, “Distracted and Drowsy Driving Modeling Using Deep Physiological Representations and Multitask Learning” in Applied Sciences, 11(1):88, 2021. [PDF]
   
   
5. M. Abouelenien and M. Burzo, "Detecting Thermal Discomfort of Drivers Using Physiological Sensors and Thermal Imaging," in IEEE Intelligent Systems, vol. 34, no. 5, pp. 3-13, 2019. [PDF]
   
   
6. M. Abouelenien, M. Burzo, V. Pérez-Rosas, R. Mihalcea, H. Sun and B. Zhao. "Gender Differences in Multimodal Contact-Free Deception Detection". IEEE MultiMedia, Vol. 26, no. 3, pages 19-30, 2019. [PDF]
   
   
7. X. Yuan, L. Xie, and M. Abouelenien. "A Regularized Ensemble Framework of Deep Learning for Cancer Detection from Multi-class, Imbalanced Training Data". Pattern Recognition, Vol. 77, pages 160–172, 2018.
   
   
8. M. Abouelenien, V. Perez-Rosas, R. Mihalcea, and M. Burzo. "Detecting Deceptive Behavior Via Integration of Discriminative Features from Multiple Modalities". IEEE Transactions on Information Forensics and Security, Vol. 12, no. 5, pages 1042-1055, 2017. [PDF]
   
   
9. X. Yuan, M. Abouelenien. "A Multi-class Boosting Method for Learning from Imbalanced Data". International Journal of Granular Computing, Rough Sets and Intelligent Systems, Vol. 4, No. 1, 2015. [PDF]
   
   
10. H. Mohamed, S. Spencer, A. Swasy, S. Swidan, and M. Abouelenien. "A Social and Biological Approach for Postpartum Depression in Egypt". Woman - Psychosomatic Gynaecology and Obstetrics, Vol. 1, Pages 30-39, 2014.
    
    
11. M. Abouelenien, X. Yuan, B. Giritharan, J. Liu, and S. Tang. "Cluster-based Sampling and Ensemble for Bleeding Detection in Capsule Endoscopy Videos". American Journal of Science and Engineering, Vol. 1, No. 1, 2012.
    
    

Patents

1. M. Burzo, R. Mihalcea, and M. Abouelenien. “Multimodal Sensing of Thermal Comfort for Adaptable Climate Control.” US Patent 11631259, April 2023.

Book Chapters

1. M. Burzo, M. Abouelenien, V. Perez-Rosas, and R. Mihalcea "Multimodal Deception Detection", in Handbook of Multimodal-Multisensor Interfaces, Vol. 2, Editors: Bjoern Schuller and Daniel Sonntag, Publisher: ACM Books, Morgan Claypool, 2018. [PDF]
   
   
2. X. Yuan, M. Abouelenien, and M. Elhoseny "A Boosting-based Decision Fusion Method for Learning from Large, Imbalanced Face Data Set", in Quantum Computing: An Environment for Intelligent Large Scale Real Application, Springer, 2018.
   
   
3. X. Yuan, B. Giritharan, M. Abouelenien, J. Liu, and X. Yuan "Geometric Incremental Support Vector Machine for Object Detection from Capsule Endoscopy Videos" Computer aided cancer detection and diagnosis: Recent advance, Editors: J. Tang and S. Agaian, SPIE press, 2013. [PDF]
   
   

Conferences

1. K. Riani, S. Sharak, M. Abouelenien, M. Burzo, R. Mihalcea, J. Elson, C. Maranville, K. Prakah-Asante, and W. Manzoor, “Non-Contact Based Modeling of Enervation,” in IEEE 17th International Conference on Automatic Face and Gesture Recognition, FG, USA, January 2023. [PDF]
   
   
2. M. Lilley, K. Das, K. Riani and M. Abouelenien, "A Topological Approach for Facial Region Seg-mentation in Thermal Images," in IEEE International Symposium on Multimedia, ISM, Italy, December 2022. [PDF]
   
   
3. S. Sharak, K. Das, K. Riani, M. Abouelenien, M. Burzo, R. Mihalcea, “Contact Versus Noncontact Detection of Driver's Drowsiness” in the 26th International Conference on Pattern Recognition, ICPR, Canada, August 2022. [PDF]
   
   
4. A. Sagherian, S. Lingaiah, M. Abouelenien, C. Leong, L. Liu, M. Zhao, B. Lafuente, S. Chen, and Y. Qi, “Learning Progression-based Automated Scoring of Visual Models” in ACM Conference on PErvasive Technologies Related to Assistive Environments, PETRA, Greece, June 2022. [PDF]
   
   
5. K. Das, M. Abouelenien, M. Burzo, and R. Mihalcea, “Towards Imbalanced Multiclass Driver Distraction Identification” in Proceedings of the 2022 35th International FLAIRS Conference, FLAIRS, May 2022. [PDF]
   
   
6. K. Das, S. Sharak, K. Riani, M. Abouelenien, M. Burzo, and M. Papakostas, “Multimodal Detection of Drivers Drowsiness and Distraction” in Proceedings of the 2021 International Conference on Multimodal Interaction, ICMI, October 2021. [PDF]
   
   
7. K. Riani, S. Sharak, K. Das, M. Abouelenien, M. Burzo, R. Mihalcea, J. Elson, C. Maranville, K. Prakah-Asante, and W. Manzoor, “Towards Classifying Human Circadian Rhythm Using Multiple Modalities” in Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, ACII, October 2021. [PDF]
   
   
8. Y. Yao, M. Papakostas, M. Burzo, M. Abouelenien, and R. Mihalcea, “MUSER: MUltimodal Stress detection using Emotion Recognition as an Auxiliary Task” in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics, NAACL, June 2021. [PDF]
   
   
9. M. Papakostas, K. Riani, A. Gasiorowski, Y. Sun, M. Abouelenien, R. Mihalcea, and M. Burzo “Understanding Driving Distractions: A Multimodal Analysis on Distraction Characterization”, in the 26th International Conference on Intelligent User Interfaces, ACM IUI, April 2021. [PDF]
   
   
10. Y. Yao, V. Perez-Rosas, M. Abouelenien, and M. Burzo. “MORSE: MultimOdal sentiment analysis for Real-life Settings”, in Proceedings of the 2020 International Conference on Multimodal Interaction, ICMI 2020, Netherlands, October 2020. [PDF]
    
    
11. C. Hessler, M. Abouelenien, and M. Burzo “A Non-contact Method for Extracting Heart and Respiration Rates,” in the 2020 17th Conference on Computer and Robot Vision (CRV), IEEE, Ottawa, ON, Canada, 2020. [PDF]
    
    
12. K. Riani, M. Papakostas, H. Kokash, M. Abouelenien, M. Burzo, and R. Mihalcea, “Towards Detecting Levels of Alertness in Drivers Using Multiple Modalities,” in the ACM Conference on PErvasive Technologies Related to Assistive Environments, Greece, PETRA 2020. [PDF]
    
    
13. A. Kumbhar, M. Savargaonkar, A. Nalwaya, C. Bian, and M. Abouelenien. "Keyword Extraction Performance Analysis", in MMPrag 2019 IEEE Conference on Multimedia Information Processing and Retrieval, IEEE MIPR 2019, San Jose, CA, USA, March 2019. [PDF]
    
    
14. C. Hessler, M. Abouelenien, and M. Burzo. “A Survey on Extracting Physiological Measurements from Thermal Images”, in the 10th ACM Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2018, Corfu, Greece, June 2018. [PDF]
    
    
15. C. Hessler and M. Abouelenien. “Using Thermal Images and Physiological Features to Model Human Behavior: A Survey”, in Multimedia Pragmatics, IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018, Miami, Florida, April 2018. [PDF]
    
    
16. M. Abouelenien, V. Perez-Rosas, R. Mihalcea, and M. Burzo. “Multimodal Gender Detection”, in Proceedings of the 19th ACM International Conference on Multimodal Interaction, ICMI 2017, Glasgow, Scotland, November 2017. [PDF]
    
    
17. M. Burzo, M. Abouelenien, D. Van Alstine, and K. Rusinek. “Thermal Discomfort Detection Using Thermal Imaging”, in ASME 2017 International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers, Tampa, Florida, November 2017. [PDF]
    
    
18. V. Perez-Rosas, Q. Davenport, A. M. Dai, M. Abouelenien, and R. Mihalcea. “Identity Deception Detection”, in Proceedings of the 8th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), volume 1, IJCNLP 2017, Taipei, Taiwan, November 2017. [PDF]
    
    
19. M. Abouelenien, M. Burzo, R. Mihalcea, K. Rusinek, and D. Van Alstine. “Detecting Human thermal Discomfort via Physiological Signals”, in Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2017, Rhodes, Greece, June 2017. [PDF]
    
    
20. M. Abouelenien, V. Perez-Rosas, B. Zhao, R. Mihalcea, and M. Burzo. “Gender-based Multimodal Deception Detection” in the 32nd ACM Symposium on Applied Computing, SAC 2017, Marrakesh, Morocco, April 2017. [PDF]
    
    
21. M. Abouelenien, M. Burzo, R. Mihalcea. "Human Acute Stress Detection via Integration of Physiological Signals and Thermal Imaging", in Proceedings of the 9th ACM Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2016, Corfu, Greece, July 2016. [PDF]
    
    
22. M. Abouelenien, R. Mihalcea, M. Burzo. "Analyzing Thermal and Visual Clues of Deception for a Non-Contact Deception Detection Approach", in Proceedings of the 9th ACM Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2016, Corfu, Greece, July 2016. [PDF]
    
    
23. M. Abouelenien, R. Mihalcea, and M. Burzo. "Trimodal analysis of deceptive behavior", in Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection, WMDD 2015, pages 9-13, Seattle, WA, USA, November, 2015. [PDF]
    
    
24. V. Perez-Rosas, M. Abouelenien, R. Mihalcea, and M. Burzo. "Deception detection using real-life trial data", in Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, ICMI 2015, pages 59-66, Seattle, WA, USA, November 2015. [PDF]
    
    
25. V. Perez-Rosas, M. Abouelenien, R. Mihalcea, Y. Xiao, C.J. Linton, and M. Burzo. "Verbal and nonverbal clues for real-life deception detection", in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, pages 2336-2346, September 2015. [PDF]
    
    
26. M. Abouelenien, M. Burzo, and R. Mihalcea. "Cascaded Multimodal Analysis of Alertness Related Features for Drivers Safety Applications" The 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015, Corfu, Greece, July 1-3, 2015. [PDF]
    
    
27. M. Abouelenien, V. Perez-Rosas, R. Mihalcea, and M. Burzo. "Deception Detection Using a Multimodal Approach" 16th ACM International Conference on Multimodal Interaction, ICMI 2014, Istanbul, Turkey, November 12-16, 2014.
    
    
28. M. Burzo, M. Abouelenien, V. Perez-Rosas, C. Wicaksono, Y. Tao, and R. Mihalcea "Using Infrared Thermography And Biosensors To Detect Thermal Discomfort In A Buildings Inhabitants" ASME 2014 International Mechanical Engineering Congress & Exposition, Montreal, Canada, November 14-20, 2014.
    
    
29. M. Burzo, C. Wicaksono, M. Abouelenien, V. Perez-Rosas, R. Mihalcea, and Y. Tao. "Multi-modal Sensing of Thermal Discomfort for Adaptive Energy Saving in Buildings" iiSBE Net Zero Built Environment 2014 Symposium, Florida, USA, March 7-8, 2014.
    
    
30. M. Abouelenien and X. Yuan. "Boosting for Learning from Multiclass Data Sets via a Regularized Loss Function". IEEE International Conference on Granular Computing, GRC 2013, Beijing, China, December 13-15, 2013.
    
    
31. M. Abouelenien and X. Yuan. "Study on Parameter Selection using SampleBoost". The AAAI 26th International FLAIRS Conference, St. Pete Beach, Florida, USA, May 22-24, 2013.
    
    
32. M. Abouelenien and X. Yuan. "Incremental SampleBoost for Efficient Learning from Multi-class Data Sets" Data Mining for Medicine and Healthcare in SIAM - International Conference on Data Mining, Austin, Texas, USA, May 2-4, 2013. [PDF]
    
    
33. X. Yuan and M. Abouelenien. "A Boosting Method for Learning from Imbalanced Data toward Improved Face Recognition" In Proceedings of 11th International Conference on Machine Learning and Applications ICMLA 2012, Workshop on Class Imbalances: Past, Present, Future, Boca Raton, Florida, December 12-15, 2012.
    
    
34. M. Abouelenien and X. Yuan "SampleBoost for Capsule Endoscopy Categorization and Abnormality Detection", Springer - Communications in Computer and Information Science, CCIS, International Conference on Advanced Machine Learning Technologies and Applications, Cairo, Egypt, December 8-10, 2012.
    
    
35. M. Abouelenien and X. Yuan "Improved Action Recognition Using an Efficient Boosting Method", Springer - Communications in Computer and Information Science, CCIS, International Conference on Advanced Machine Learning Technologies and Applications, Cairo, Egypt, December 8-10, 2012.
    
    
36. M. Abouelenien and X. Yuan "SampleBoost: Improving Boosting Performance by Destabilizing Weak Learners Based on Weighted Error Analysis" In Proceedings of 21st International Conference on Pattern Recognition ICPR 2012, Tsukuba, Japan, November 11-15, 2012.
    
    
37. M. Abouelenien, X. Yuan, P. Duraisamy, and X. Yuan "Improving Classification Performance for the Minority Class in Highly Imbalanced Dataset using Boosting". In Proceedings of IEEE International Conference on Computing, Communication, and Networking Technologies, ICCCNT 2012, Coimbatore, India, July 26-28, 2012.
    
    
38. M. Abouelenien, Y. Wan, and A. Naseer "Feature and Decision Level Fusion for Action Recognition" In Proceedings of IEEE International Conference on Computing, Communication, and Networking Technologies, ICCCNT 2012, Coimbatore, India, July 26-28, 2012.
    
    
39. M. Sharkas and M. Abouelenien "Eigenfaces vs. Fisherfaces Vs. ICA For Face Recognition; A Comparative Study" In Proceedings of IEEE 9th International Conference on Signal Processing (ICSP'08), Beijing, China, October 26-29, 2008.