Mesh learning approach for brain data modeling. - Orhan Firat; Mete Ozay; Itir Önal; Ilke Öztekin; Fatos T. Yarman-Vural (SIU, 2012)

Functional Mesh Learning for pattern analysis of cognitive processes. - Orhan Firat; Mete Ozay; Itir Onal; Ilke Öztekin; Fatos T. Yarman-Vural (ICCI*CC, 2013)

An information theoretic approach to classify cognitive states using fMRI. - Itir Onal; Mete Ozay; Orhan Firat; Ilke Öztekin; Fatos T. Yarman-Vural (BIBE, 2013)

Representation of cognitive processes using the minimum spanning tree of local meshes. - Orhan Firat; Mete Ozay; Itir Onal; Ilke Öztekin; Fatos Tünay Yarman Vural (EMBC, 2013)

Analyzing the information distribution in the fMRI measurements by estimating the degree of locality. - Itir Onal; Mete Ozay; Orhan Firat; Ilke Öztekin; Fatos Tünay Yarman Vural (EMBC, 2013)

A framework for detecting complex events in surveillance videos. - Itir Onal; Karani Kardas; Yousef Rezaeitabar; Ulya Bayram; Murat Bal; Ilkay Ulusoy; Nihan Kesim Cicekli (ICME Workshops, 2013)

Cognitive process representation with minimum spanning tree of local meshes. - Orhan Firat; Mete Ozay; Itir Önal; Ilke Öztekin; Fatos T. Yarman-Vural (SIU, 2013)

Information distribution analysis in the fMRI measurements with degree of locality estimation. - Itir Önal; Mete Ozay; Orhan Firat; Ilke Öztekin; Fatos T. Yarman-Vural (SIU, 2013)

Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding. - Orhan Firat; Mete Özay; Itir Önal; Ilke Öztekin; Fatos T. Yarman-Vural (Int. J. Cogn. Informatics Nat. Intell., 2013)

Functional networks of anatomic brain regions. - Burak Velioglu; Emre Aksan; Itir Onal; Orhan Firat; Mete Ozay; Fatos T. Yarman-Vural (ICCI*CC, 2014)

RemindMe: An Enhanced Mobile Location-Based Reminder Application. - Ali Mert Ertugrul; Itir Önal (FiCloud, 2014)

Modeling the Brain Connectivity for Pattern Analysis. - Itir Onal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Ilke Öztekin; Fatos T. Yarman-Vural (ICPR, 2014)

Estimating brain connectivity for pattern analysis. - Itir Önal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Like Oztekin; Fatos T. Yarman-Vural (SIU, 2014)

Effect of using regression in sentiment analysis. - Itir Önal; Ali Mert Ertugrul (SIU, 2014)

Çeşitli Konum Etiketleme Opsiyonlarıyla Zenginleştirilmiş Yeni bir Konum Bazlı Hatırlatma Uygulaması. - Ali Mert Ertugrul; Itir Önal (UYMS, 2014)

Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data. - Itir Onal; Ali Mert Ertugrul; Ruken Cakici (WASSA@ACL, 2014)

Functional Mesh Model with Temporal Measurements for brain decoding. - Itir Önal; Mete Ozay; Fatos T. Yarman-Vural (EMBC, 2015)

Modeling Voxel Connectivity for Brain Decoding. - Itir Önal; Mete Ozay; Fatos T. Yarman-Vural (PRNI, 2015)

Bilişsel durum analizi i in beyin Aği modeli. - Itir Onal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Fatos T. Yarman-Vural (SIU, 2015)

A Sparse Temporal Mesh Model for brain decoding. - Arman Afrasiyabi; Itir Onal; Fatos T. Yarman-Vural (ICCI*CC, 2016)

Effect of voxel selection on temporal mesh model for brain decoding. - Arman Afrasiyabi; Itir Onal; Fatos T. Yarman-Vural (SIU, 2016)

Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. - Itir Önal Ertugrul; Mete Ozay; Fatos T. Yarman-Vural (CoRR, 2016)

Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. - Itir Onal; Mete Ozay; Eda Mizrak; Ilke Öztekin; Fatos T. Yarman-Vural (CoRR, 2016)

A Hierarchical Multi-resolution Mesh Network for Brain Decoding. - Itir Önal; Mete Ozay; Fatos Tünay Yarman Vural (CoRR, 2016)

What Will Your Future Child Look Like? Modeling and Synthesis of Hereditary Patterns of Facial Dynamics. - Itir Önal Ertugrul; Hamdi Dibeklioglu (FG, 2017)

Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Media. - Ali Mert Ertugrul; Itir Önal; Cengiz Acartürk (NLDB, 2017)

Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations. - Ilke Çugu; Eren Sener; Çagri Erciyes; Burak Balci; Emre Akin; Itir Önal; Ahmet Oguz Akyüz (CoRR, 2017)

A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. - Itir Onal; Mete Ozay; Eda Mizrak; Ilke Öztekin; Fatos Tünay Yarman Vural (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Representation of human brain by mesh networks ; İnsan beyninin örgü ağları ile gösterimi. - Itir Önal Ertugrul (2017)

FACSCaps: Pose-Independent Facial Action Coding With Capsules. - Itir Önal Ertugrul; László A. Jeni; Jeffrey F. Cohn (CVPR Workshops, 2018)

Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study. - Jeffrey F. Cohn; László A. Jeni; Itir Önal Ertugrul; Donald Malone; Michael S. Okun; David A. Borton; Wayne K. Goodman (ICMI, 2018)

Modeling Brain Networks with Artificial Neural Networks. - Baran Baris Kivilcim; Itir Önal Ertugrul; Fatos Tünay Yarman Vural (GRAIL/Beyond-MIC@MICCAI, 2018)

Modeling and synthesis of kinship patterns of facial expressions. - Itir Önal Ertugrul; László A. Jeni; Hamdi Dibeklioglu (Image Vis. Comput., 2018)

FACS3D-Net: 3D Convolution based Spatiotemporal Representation for Action Unit Detection. - Le Yang 009; Itir Önal Ertugrul; Jeffrey F. Cohn; Zakia Hammal; Dongmei Jiang; Hichem Sahli (ACII, 2019)

PAttNet: Patch-attentive deep network for action unit detection. - Itir Önal Ertugrul; László A. Jeni; Jeffrey F. Cohn (BMVC, 2019)

Unmasking the Devil in the Details: What Works for Deep Facial Action Coding? - Koichiro Niinuma; László A. Jeni; Itir Önal Ertugrul; Jeffrey F. Cohn (BMVC, 2019)

Cross-domain AU Detection: Domains, Learning Approaches, and Measures. - Itir Önal Ertugrul; Jeffrey F. Cohn; László A. Jeni; Zheng Zhang 023; Lijun Yin 001; Qiang Ji (FG, 2019)

AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition. - Itir Önal Ertugrul; László A. Jeni; Wanqiao Ding; Jeffrey F. Cohn (FG, 2019)

D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection. - Itir Önal Ertugrul; Le Yang 009; László A. Jeni; Jeffrey F. Cohn (Frontiers Comput. Sci., 2019)

Automated Detection of Optimal DBS Device Settings. - Yaohan Ding; Itir Önal Ertugrul; Ali Darzi; Nicole R. Provenza; László A. Jeni; David A. Borton; Wayne K. Goodman; Jeffrey F. Cohn (ICMI Companion, 2020)

Multimodal Interaction in Psychopathology. - Itir Önal Ertugrul; Jeffrey F. Cohn; Hamdi Dibeklioglu (ICMI, 2020)

Crossing Domains for AU Coding: Perspectives, Approaches, and Measures. - Itir Önal Ertugrul; Jeffrey F. Cohn; László A. Jeni; Zheng Zhang 023; Lijun Yin 001; Qiang Ji (IEEE Trans. Biom. Behav. Identity Sci., 2020)

Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions. - Koichiro Niinuma; Itir Önal Ertugrul; Jeffrey F. Cohn; László A. Jeni (WACV, 2021)

Systematic Evaluation of Design Choices for Deep Facial Action Coding Across Pose. - Koichiro Niinuma; Itir Önal Ertugrul; Jeffrey F. Cohn; László A. Jeni (Frontiers Comput. Sci., 2021)

Predicting evaluations of entrepreneurial pitches based on multimodal nonverbal behavioral cues and self-reported characteristics. - Kostas Stoitsas; Itir Önal Ertugrul; Werner Liebregts; Merel M. Jung (ICMI Companion, 2022)

To Invest or Not to Invest: Using Vocal Behavior to Predict Decisions of Investors in an Entrepreneurial Context. - Ilona Goossens; Merel M. Jung; Werner Liebregts; Itir Önal Ertugrul (ICPR Workshops (1), 2022)

Fully-attentive and interpretable: vision and video vision transformers for pain detection. - Giacomo Fiorentini; Itir Önal Ertugrul; Albert Ali Salah (CoRR, 2022)

PyAFAR: Python-based Automated Facial Action Recognition library for use in Infants and Adults. - Saurabh Hinduja; Itir Önal Ertugrul; Maneesh Bilalpur; Daniel S. Messinger; Jeffrey F. Cohn (ACIIW, 2023)

Automated Emotional Valence Estimation in Infants with Stochastic and Strided Temporal Sampling. - Mang Ning; Itir Önal; Daniel S. Messinger; Jeffrey F. Cohn; Albert Ali Salah (ACII, 2023)

Deciphering Entrepreneurial Pitches: A Multimodal Deep Learning Approach to Predict Probability of Investment. - Pepijn Van Aken; Merel M. Jung; Werner Liebregts; Itir Önal Ertugrul (ICMI, 2023)

Do Body Expressions Leave Good Impressions? - Predicting Investment Decisions based on Pitcher's Body Expressions. - Merel M. Jung; Mark Van Vlierden; Werner Liebregts; Itir Önal Ertugrul (ICMI Companion, 2023)

Editorial: Machine learning methods for human brain imaging. - Fatos Tünay Yarman Vural; Sharlene D. Newman; Tolga Çukur; Itir Önal Ertugrul (Frontiers Neuroinformatics, 2023)

Expanding PyAFAR: A Novel Privacy-Preserving Infant AU Detector. - Itir Önal Ertugrul; Saurabh Hinduja; Maneesh Bilalpur; Daniel S. Messinger; Jeffrey F. Cohn (FG, 2024)

Face the Needle: Predicting Risk of Fear and Fainting During Blood Donation Through Video Analysis. - Judita Rudokaite; Itir Önal Ertugrul; Lee-Ling Sharon Ong; Mart P. Janssen; Elisabeth Huis in 't Veld (FG, 2024)

Elucidating the Exposure Bias in Diffusion Models. - Mang Ning; Mingxiao Li 002; Jianlin Su; Albert Ali Salah; Itir Önal Ertugrul (ICLR, 2024)

Representation Learning and Identity Adversarial Training for Facial Behavior Understanding. - Mang Ning; Albert Ali Salah; Itir Önal Ertugrul (CoRR, 2024)

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space. - Mang Ning; Mingxiao Li 002; Jianlin Su; Haozhe Jia; Lanmiao Liu; Martin Benes 001; Albert Ali Salah; Itir Önal Ertugrul (CoRR, 2024)

Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes. - Saurabh Hinduja; Ali Darzi; Itir Önal Ertugrul; Nicole R. Provenza; Ron Gadot; Eric A. Storch; Sameer A. Sheth; Wayne K. Goodman; Jeffrey F. Cohn (IEEE Trans. Affect. Comput., 2024)