| Using noninvasive wearable computers to recognize human emotions from physiological signals CL Lisetti, F Nasoz EURASIP Journal on Advances in Signal Processing 2004, 1-16, 2004 | 676 | 2004 |
| Emotion recognition from physiological signals using wireless sensors for presence technologies F Nasoz, K Alvarez, CL Lisetti, N Finkelstein Cognition, Technology & Work 6, 4-14, 2004 | 601* | 2004 |
| Developing multimodal intelligent affective interfaces for tele-home health care C Lisetti, F Nasoz, C LeRouge, O Ozyer, K Alvarez International Journal of Human-Computer Studies 59 (1-2), 245-255, 2003 | 205 | 2003 |
| The agenda of wearable healthcare G Tröster Yearbook of medical informatics 14 (01), 125-138, 2005 | 168 | 2005 |
| MAUI: a multimodal affective user interface CL Lisetti, F Nasoz Proceedings of the tenth ACM international conference on Multimedia, 161-170, 2002 | 162 | 2002 |
| Affectively intelligent and adaptive car interfaces F Nasoz, CL Lisetti, AV Vasilakos Information Sciences 180 (20), 3817-3836, 2010 | 113 | 2010 |
| Affective intelligent car interfaces with emotion recognition CL Lisetti, F Nasoz Proceedings of 11th International Conference on Human Computer Interaction …, 2005 | 101 | 2005 |
| Facial expression recognition with convolutional neural networks S Singh, F Nasoz 2020 10th Annual Computing and Communication Workshop and Conference (CCWC …, 2020 | 79 | 2020 |
| Deep Learning Sentiment Analysis of Amazon. Com Reviews and Ratings N Shrestha, F Nasoz International Journal on Soft Computing, Artificial Intelligence and …, 2019 | 72 | 2019 |
| Multimodal affective driver interfaces for future cars F Nasoz, O Ozyer, CL Lisetti, N Finkelstein Proceedings of the tenth ACM international conference on Multimedia, 319-322, 2002 | 48 | 2002 |
| MAUI avatars: Mirroring the user's sensed emotions via expressive multi-ethnic facial avatars F Nasoz, CL Lisetti Journal of Visual Languages & Computing 17 (5), 430-444, 2006 | 42 | 2006 |
| Machine learning approaches for fracture risk assessment: a comparative analysis of genomic and phenotypic data in 5130 older men Q Wu, F Nasoz, J Jung, B Bhattarai, MV Han Calcified tissue international 107, 353-361, 2020 | 22 | 2020 |
| Affective user modeling for adaptive intelligent user interfaces F Nasoz, CL Lisetti Human-Computer Interaction. HCI Intelligent Multimodal Interaction …, 2007 | 20 | 2007 |
| Adaptive intelligent user interfaces with emotion recognition F Nasoz University of Central Florida, 2004 | 15 | 2004 |
| Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men Q Wu, F Nasoz, J Jung, B Bhattarai, MV Han, RA Greenes, KG Saag Scientific Reports 11 (1), 1-10, 2021 | 6 | 2021 |
| The maui project: Building multimodal affective user interfaces for everyone CL Lisetti, C LeRouge, F Nasoz Proceedings of the AAAI-02 Workshop “Automation as Caregiver, 67-74, 2002 | 6 | 2002 |
| Ultracompact, polarization-independent, and highly scalable optical power splitting model employing fan-out bending metamaterials Z Guo, J Xiao, S Wu Photonics Research 10 (11), 2448-2459, 2022 | 5 | 2022 |
| Affectively intelligent user interfaces for enhanced e-learning applications F Nasoz, M Bayburt Human Centered Design: First International Conference, HCD 2009, Held as …, 2009 | 5 | 2009 |
| A user-centric metadata creation tool for preserving the nation’s ecological data F Nasoz, RC Bryce, CJ Palmer, DJ Rugg Human Interface and the Management of Information. Interacting with …, 2011 | 4 | 2011 |
| Categorizing autonomic nervous system (ans) emotional signals using bio-sensors for hri within the maui paradigm CL Lisetti, F Nasoz ROMAN 2006-The 15th IEEE International Symposium on Robot and Human …, 2006 | 4 | 2006 |
