Application of the Multilevel Process Theory of Emotion to User-Modeling. - Christine L. Lisetti; Fatma Nasoz (FLAIRS, 2002)

MAUI: a multimodal affective user interface. - Christine L. Lisetti; Fatma Nasoz (ACM Multimedia, 2002)

Multimodal affective driver interfaces for future cars. - Fatma Nasoz; Onur Ozyer; Christine L. Lisetti; Neal Finkelstein (ACM Multimedia, 2002)

Developing multimodal intelligent affective interfaces for tele-home health care. - Christine L. Lisetti; Fatma Nasoz; Cynthia LeRouge; Onur Ozyer; Kaye Alvarez (Int. J. Hum. Comput. Stud., 2003)

Emotion recognition from physiological signals using wireless sensors for presence technologies. - Fatma Nasoz; Kaye Alvarez; Christine L. Lisetti; Neal Finkelstein (Cogn. Technol. Work., 2004)

Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals. - Christine Lætitia Lisetti; Fatma Nasoz (EURASIP J. Adv. Signal Process., 2004)

Categorizing Autonomic Nervous System (ANS) Emotional Signals using Bio-Sensors for HRI within the MAUI Paradigm. - Christine L. Lisetti; Fatma Nasoz (RO-MAN, 2006)

MAUI avatars: Mirroring the user's sensed emotions via expressive multi-ethnic facial avatars. - Fatma Nasoz; Christine L. Lisetti (J. Vis. Lang. Comput., 2006)

Affective User Modeling for Adaptive Intelligent User Interfaces. - Fatma Nasoz; Christine L. Lisetti (HCI (3), 2007)

Affectively Intelligent User Interfaces for Enhanced E-Learning Applications. - Fatma Nasoz; Mehmet Bayburt (HCI (10), 2009)

Affectively intelligent and adaptive car interfaces. - Fatma Nasoz; Christine L. Lisetti; Athanasios V. Vasilakos (Inf. Sci., 2010)

A User-Centric Metadata Creation Tool for Preserving the Nation's Ecological Data. - Fatma Nasoz; Renée C. Bryce; Craig J. Palmer; David J. Rugg (HCI (11), 2011)

A Web-Based User Interface for Machine Learning Analysis. - Fatma Nasoz; Chandani Shrestha (HCI (4), 2017)

Deep Learning Sentiment Analysis of Amazon.com Reviews and Ratings. - Nishit Shrestha; Fatma Nasoz (CoRR, 2019)

Facial Expression Recognition with Convolutional Neural Networks. - Shekhar Singh; Fatma Nasoz (CCWC, 2020)

A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies. - Richard Van; Daniel Alvarez; Travis Mize; Sravani Gannavarapu; Lohitha Chintham Reddy; Fatma Nasoz; Mira V. Han (BMC Bioinform., 2024)