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Itir Önal
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2020 – today
- 2024
- [c42]Itir Önal Ertugrul, Saurabh Hinduja, Maneesh Bilalpur, Daniel S. Messinger, Jeffrey F. Cohn:
Expanding PyAFAR: A Novel Privacy-Preserving Infant AU Detector. FG 2024: 1-2 - [c41]Judita Rudokaite, Itir Önal Ertugrul, Lee-Ling Sharon Ong, Mart P. Janssen, Elisabeth Huis in 't Veld:
Face the Needle: Predicting Risk of Fear and Fainting During Blood Donation Through Video Analysis. FG 2024: 1-10 - [c40]Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Önal Ertugrul:
Elucidating the Exposure Bias in Diffusion Models. ICLR 2024 - 2023
- [j7]Fatos Tünay Yarman Vural, Sharlene D. Newman, Tolga Çukur, Itir Önal Ertugrul:
Editorial: Machine learning methods for human brain imaging. Frontiers Neuroinformatics 17 (2023) - [c39]Saurabh Hinduja, Itir Önal Ertugrul, Maneesh Bilalpur, Daniel S. Messinger, Jeffrey F. Cohn:
PyAFAR: Python-based Automated Facial Action Recognition library for use in Infants and Adults. ACIIW 2023: 1-3 - [c38]Mang Ning, Itir Önal, Daniel S. Messinger, Jeffrey F. Cohn, Albert Ali Salah:
Automated Emotional Valence Estimation in Infants with Stochastic and Strided Temporal Sampling. ACII 2023: 1-8 - [c37]Merel M. Jung
, Mark Van Vlierden
Do Body Expressions Leave Good Impressions? - Predicting Investment Decisions based on Pitcher's Body Expressions. ICMI Companion 2023: 36-40 - [c36]Pepijn Van Aken
Deciphering Entrepreneurial Pitches: A Multimodal Deep Learning Approach to Predict Probability of Investment. ICMI 2023: 144-152 - [i8]Mang Ning
Elucidating the Exposure Bias in Diffusion Models. CoRR abs/2308.15321 (2023) - 2022
- [c35]Kostas Stoitsas, Itir Önal Ertugrul, Werner Liebregts, Merel M. Jung
Predicting evaluations of entrepreneurial pitches based on multimodal nonverbal behavioral cues and self-reported characteristics. ICMI Companion 2022: 121-126 - [c34]Ilona Goossens, Merel M. Jung, Werner Liebregts, Itir Önal Ertugrul:
To Invest or Not to Invest: Using Vocal Behavior to Predict Decisions of Investors in an Entrepreneurial Context. ICPR Workshops (1) 2022: 273-286 - [i7]Giacomo Fiorentini, Itir Önal Ertugrul, Albert Ali Salah:
Fully-attentive and interpretable: vision and video vision transformers for pain detection. CoRR abs/2210.15769 (2022) - 2021
- [j6]Koichiro Niinuma, Itir Önal Ertugrul, Jeffrey F. Cohn, László A. Jeni:
Systematic Evaluation of Design Choices for Deep Facial Action Coding Across Pose. Frontiers Comput. Sci. 3: 636094 (2021) - [c33]Koichiro Niinuma, Itir Önal Ertugrul, Jeffrey F. Cohn, László A. Jeni:
Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions. WACV 2021: 1247-1256 - 2020
- [j5]Itir Önal Ertugrul, Jeffrey F. Cohn, László A. Jeni, Zheng Zhang, Lijun Yin, Qiang Ji:
Crossing Domains for AU Coding: Perspectives, Approaches, and Measures. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 158-171 (2020) - [c32]Yaohan Ding
Automated Detection of Optimal DBS Device Settings. ICMI Companion 2020: 354-356 - [c31]Itir Önal Ertugrul, Jeffrey F. Cohn, Hamdi Dibeklioglu:
Multimodal Interaction in Psychopathology. ICMI 2020: 881-882 - [i6]Koichiro Niinuma, Itir Önal Ertugrul, Jeffrey F. Cohn, László A. Jeni:
Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions. CoRR abs/2010.10979 (2020)
2010 – 2019
- 2019
- [j4]Itir Önal Ertugrul, Le Yang, László A. Jeni, Jeffrey F. Cohn:
D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection. Frontiers Comput. Sci. 1: 11 (2019) - [c30]Le Yang, Itir Önal Ertugrul, Jeffrey F. Cohn, Zakia Hammal, Dongmei Jiang, Hichem Sahli
FACS3D-Net: 3D Convolution based Spatiotemporal Representation for Action Unit Detection. ACII 2019: 538-544 - [c29]Koichiro Niinuma, László A. Jeni, Itir Önal Ertugrul, Jeffrey F. Cohn:
Unmasking the Devil in the Details: What Works for Deep Facial Action Coding? BMVC 2019: 4 - [c28]Itir Önal Ertugrul, László A. Jeni, Jeffrey F. Cohn:
PAttNet: Patch-attentive deep network for action unit detection. BMVC 2019: 114 - [c27]Itir Önal Ertugrul, Jeffrey F. Cohn, László A. Jeni, Zheng Zhang, Lijun Yin, Qiang Ji:
Cross-domain AU Detection: Domains, Learning Approaches, and Measures. FG 2019: 1-8 - [c26]Itir Önal Ertugrul, László A. Jeni, Wanqiao Ding, Jeffrey F. Cohn:
AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition. FG 2019: 1 - 2018
- [j3]Itir Önal Ertugrul, László A. Jeni, Hamdi Dibeklioglu:
Modeling and synthesis of kinship patterns of facial expressions. Image Vis. Comput. 79: 133-143 (2018) - [c25]Itir Önal Ertugrul, László A. Jeni, Jeffrey F. Cohn:
FACSCaps: Pose-Independent Facial Action Coding With Capsules. CVPR Workshops 2018: 2130-2139 - [c24]Jeffrey F. Cohn, László A. Jeni, Itir Önal Ertugrul, Donald Malone, Michael S. Okun
Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study. ICMI 2018: 40-44 - [c23]Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos Tünay Yarman Vural:
Modeling Brain Networks with Artificial Neural Networks. GRAIL/Beyond-MIC@MICCAI 2018: 43-53 - [i5]Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos T. Yarman-Vural:
Modeling Brain Networks with Artificial Neural Networks. CoRR abs/1807.08368 (2018) - 2017
- [b1]Itir Önal Ertugrul:
Representation of human brain by mesh networks ; İnsan beyninin örgü ağları ile gösterimi. Middle East Technical University, Çankaya, Ankara, Turkey, 2017 - [j2]Itir Onal
A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. IEEE Trans. Signal Inf. Process. over Networks 3(4): 683-694 (2017) - [c22]Itir Önal Ertugrul, Hamdi Dibeklioglu:
What Will Your Future Child Look Like? Modeling and Synthesis of Hereditary Patterns of Facial Dynamics. FG 2017: 33-40 - [c21]Ali Mert Ertugrul, Itir Önal, Cengiz Acartürk
Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Media. NLDB 2017: 149-155 - [i4]Ilke Çugu, Eren Sener, Çagri Erciyes, Burak Balci, Emre Akin, Itir Önal, Ahmet Oguz Akyüz:
Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations. CoRR abs/1701.08291 (2017) - 2016
- [c20]Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural:
A Sparse Temporal Mesh Model for brain decoding. ICCI*CC 2016: 198-206 - [c19]Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural:
Effect of voxel selection on temporal mesh model for brain decoding. SIU 2016: 2249-2252 - [i3]Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. CoRR abs/1603.01067 (2016) - [i2]Itir Önal, Mete Ozay, Fatos Tünay Yarman Vural:
A Hierarchical Multi-resolution Mesh Network for Brain Decoding. CoRR abs/1607.07695 (2016) - [i1]Itir Önal Ertugrul, Mete Ozay, Fatos T. Yarman-Vural:
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. CoRR abs/1610.05036 (2016) - 2015
- [c18]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Functional Mesh Model with Temporal Measurements for brain decoding. EMBC 2015: 2624-2628 - [c17]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Modeling Voxel Connectivity for Brain Decoding. PRNI 2015: 5-8 - [c16]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Bilişsel durum analizi i~in beyin Aği modeli. SIU 2015: 1688-1692 - 2014
- [c15]Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Functional networks of anatomic brain regions. ICCI*CC 2014: 53-60 - [c14]Ali Mert Ertugrul, Itir Önal:
RemindMe: An Enhanced Mobile Location-Based Reminder Application. FiCloud 2014: 425-430 - [c13]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Brain Connectivity for Pattern Analysis. ICPR 2014: 3339-3344 - [c12]Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural:
Estimating brain connectivity for pattern analysis. SIU 2014: 1806-1809 - [c11]Itir Önal, Ali Mert Ertugrul:
Effect of using regression in sentiment analysis. SIU 2014: 1822-1825 - [c10]Ali Mert Ertugrul, Itir Önal:
Çeşitli Konum Etiketleme Opsiyonlarıyla Zenginleştirilmiş Yeni bir Konum Bazlı Hatırlatma Uygulaması. UYMS 2014 - [c9]Itir Onal, Ali Mert Ertugrul, Ruken Cakici:
Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data. WASSA@ACL 2014: 136-141 - 2013
- [j1]Orhan Firat, Mete Özay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding. Int. J. Cogn. Informatics Nat. Intell. 7(3): 46-57 (2013) - [c8]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos T. Yarman-Vural:
Functional Mesh Learning for pattern analysis of cognitive processes. ICCI*CC 2013: 161-167 - [c7]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
An information theoretic approach to classify cognitive states using fMRI. BIBE 2013: 1-6 - [c6]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos Tünay Yarman Vural:
Analyzing the information distribution in the fMRI measurements by estimating the degree of locality. EMBC 2013: 6772-6775 - [c5]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos Tünay Yarman Vural:
Representation of cognitive processes using the minimum spanning tree of local meshes. EMBC 2013: 6780-6783 - [c4]Itir Onal, Karani Kardas, Yousef Rezaeitabar, Ulya Bayram
A framework for detecting complex events in surveillance videos. ICME Workshops 2013: 1-6 - [c3]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Cognitive process representation with minimum spanning tree of local meshes. SIU 2013: 1-4 - [c2]Itir Önal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
Information distribution analysis in the fMRI measurements with degree of locality estimation. SIU 2013: 1-4 - 2012
- [c1]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Mesh learning approach for brain data modeling. SIU 2012: 1-4
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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