| A review of multimodal biometric systems: Fusion methods and their applications M Ghayoumi Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International …, 2015 | 85 | 2015 |
| A quick review of deep learning in facial expression M Ghayoumi J. Commun. Comput 14 (1), 34-38, 2017 | 37 | 2017 |
| Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis AB M.Ghayoumi CSSCC, 8, 2015 | 36 | 2015 |
| Multimodal architecture for emotion in robots using deep learning M Ghayoumi, AK Bansal Future Technologies Conference, San Francisco, United States, 2016 | 28 | 2016 |
| Emotion in Robots Using Convolutional Neural Networks M Ghayoumi, AK Bansal International Conference on Social Robotics, 285-295, 2016 | 25 | 2016 |
| Social Robotics: 8th International Conference, ICSR 2016, Kansas City, MO, USA, November 1-3, 2016 Proceedings A Agah, JJ Cabibihan, AM Howard, MA Salichs, H He Springer, 2016 | 24 | 2016 |
| An Integrated Approach for Efficient Analysis of Facial Expressions AB Mehdi Ghayoumi SIGMAP 2014, http://www.scitepress.org/Portal/Publica, 2014 | 20* | 2014 |
| Towards Formal Multimodal Analysis of Emotions for Affective Computing. M Ghayoumi, M Thafar, AK Bansal DMS, 48-54, 2016 | 19 | 2016 |
| Facial image feature extraction using support vector machines. HA Moghaddam, M Ghayoumi VISAPP 2006, 480-485, 2006 | 18 | 2006 |
| A Review of Multimodal Biometric Systems Fusion Methods and Its Applications M Ghayoumi ICIS, USA, 2015 | 15 | 2015 |
| An autonomous model to enforce security policies based on user's behavior K Ghazinour, M Ghayoumi 2015 IEEE/ACIS 14th International Conference on Computer and Information …, 2015 | 12 | 2015 |
| Local sensitive hashing (LSH) and convolutional neural networks (CNNs) for object recognition M Ghayoumi, M Gomez, KE Baumstein, N Persaud, AJ Perlowin 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 11 | 2018 |
| Architecture of Emotion in Robots Using Convolutional Neural Networks AKB Mehdi Ghayoumi RSS, 6, 2016 | 11 | 2016 |
| A formal approach for multimodal integration to derive emotions M Ghayoumi, M Thafar, AK Bansal Journal of Visual Languages and Sentient Systems 2, 48-54, 2016 | 10 | 2016 |
| Review of security and privacy issues in e-commerce M Ghayoumi Proceedings of the International Conference on e-Learning, e-Business …, 2016 | 10 | 2016 |
| Deep Learning in Practice M Ghayoumi Chapman and Hall/CRC, 2022 | 8 | 2022 |
| Dynamic Modeling for Representing Access Control Policies Effect K Ghazinour, M Ghayoumi arXiv preprint arXiv:1505.08154, 2015 | 8 | 2015 |
| Follower Robot with an Optimized Gesture Recognition System AH Mehdi Ghayoumi, Javed Khan, Maryam Pourebadi Khotbesara, Evan Bauer RSS, 2, 2016 | 7 | 2016 |
| Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group AKB Mehdi Ghayoumi International Journal of Advanced Studies in Computer Science and …, 2017 | 6* | 2017 |
| An adaptive fuzzy multimodal biometric system for identification and verification M Ghayoumi, K Ghazinour 2015 IEEE/ACIS 14th International Conference on Computer and Information …, 2015 | 6 | 2015 |
Arvind BansalProfessor of Computer Science, Kent State UniversityVerified email at cs.kent.edu
