Itir Önal

Orcid: 0000-0002-0999-8626

According to our database1, Itir Önal authored at least 56 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes.
IEEE Trans. Affect. Comput., 2024

Elucidating the Exposure Bias in Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Face the Needle: Predicting Risk of Fear and Fainting During Blood Donation Through Video Analysis.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Expanding PyAFAR: A Novel Privacy-Preserving Infant AU Detector.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023
Editorial: Machine learning methods for human brain imaging.
Frontiers Neuroinformatics, March, 2023

Do Body Expressions Leave Good Impressions? - Predicting Investment Decisions based on Pitcher's Body Expressions.
Proceedings of the International Conference on Multimodal Interaction, 2023

Deciphering Entrepreneurial Pitches: A Multimodal Deep Learning Approach to Predict Probability of Investment.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Automated Emotional Valence Estimation in Infants with Stochastic and Strided Temporal Sampling.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

PyAFAR: Python-based Automated Facial Action Recognition library for use in Infants and Adults.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022
Fully-attentive and interpretable: vision and video vision transformers for pain detection.
CoRR, 2022

To Invest or Not to Invest: Using Vocal Behavior to Predict Decisions of Investors in an Entrepreneurial Context.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Predicting evaluations of entrepreneurial pitches based on multimodal nonverbal behavioral cues and self-reported characteristics.
Proceedings of the International Conference on Multimodal Interaction, 2022

2021
Systematic Evaluation of Design Choices for Deep Facial Action Coding Across Pose.
Frontiers Comput. Sci., 2021

Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Crossing Domains for AU Coding: Perspectives, Approaches, and Measures.
IEEE Trans. Biom. Behav. Identity Sci., 2020

Multimodal Interaction in Psychopathology.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Automated Detection of Optimal DBS Device Settings.
Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

2019
D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection.
Frontiers Comput. Sci., 2019

AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Cross-domain AU Detection: Domains, Learning Approaches, and Measures.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Unmasking the Devil in the Details: What Works for Deep Facial Action Coding?
Proceedings of the 30th British Machine Vision Conference 2019, 2019

PAttNet: Patch-attentive deep network for action unit detection.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

FACS3D-Net: 3D Convolution based Spatiotemporal Representation for Action Unit Detection.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Modeling and synthesis of kinship patterns of facial expressions.
Image Vis. Comput., 2018

Modeling Brain Networks with Artificial Neural Networks.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018

Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

FACSCaps: Pose-Independent Facial Action Coding With Capsules.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Representation of human brain by mesh networks ; İnsan beyninin örgü ağları ile gösterimi.
PhD thesis, 2017

A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations.
CoRR, 2017

Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Media.
Proceedings of the Natural Language Processing and Information Systems, 2017

What Will Your Future Child Look Like? Modeling and Synthesis of Hereditary Patterns of Facial Dynamics.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
A Hierarchical Multi-resolution Mesh Network for Brain Decoding.
CoRR, 2016

Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding.
CoRR, 2016

Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification.
CoRR, 2016

Effect of voxel selection on temporal mesh model for brain decoding.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A Sparse Temporal Mesh Model for brain decoding.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
Bilişsel durum analizi i~in beyin Aği modeli.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Modeling Voxel Connectivity for Brain Decoding.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Functional Mesh Model with Temporal Measurements for brain decoding.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

Çeşitli Konum Etiketleme Opsiyonlarıyla Zenginleştirilmiş Yeni bir Konum Bazlı Hatırlatma Uygulaması.
Proceedings of the 8th Turkish National Software Engineering Symposium, 2014

Effect of using regression in sentiment analysis.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Estimating brain connectivity for pattern analysis.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Modeling the Brain Connectivity for Pattern Analysis.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

RemindMe: An Enhanced Mobile Location-Based Reminder Application.
Proceedings of the 2014 International Conference on Future Internet of Things and Cloud, 2014

Functional networks of anatomic brain regions.
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014

2013
Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding.
Int. J. Cogn. Informatics Nat. Intell., 2013

Information distribution analysis in the fMRI measurements with degree of locality estimation.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Cognitive process representation with minimum spanning tree of local meshes.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

A framework for detecting complex events in surveillance videos.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Analyzing the information distribution in the fMRI measurements by estimating the degree of locality.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Representation of cognitive processes using the minimum spanning tree of local meshes.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

An information theoretic approach to classify cognitive states using fMRI.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Functional Mesh Learning for pattern analysis of cognitive processes.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

2012
Mesh learning approach for brain data modeling.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012


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