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Heysem Kaya
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2020 – today
- 2024
- [c51]Elena Ryumina, Maxim Markitantov, Dmitry Ryumin, Heysem Kaya, Alexey Karpov:
Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion. CVPR Workshops 2024: 4752-4760 - [c50]Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Heysem Kaya, Alexey Karpov:
Multi-modal Arousal and Valence Estimation under Noisy Conditions. CVPR Workshops 2024: 4773-4783 - [i12]Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Peitong Li, Heysem Kaya, Alexey Karpov:
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition. CoRR abs/2403.12609 (2024) - [i11]Elena Ryumina, Maxim Markitantov, Dmitry Ryumin, Heysem Kaya, Alexey Karpov:
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision. CoRR abs/2403.12687 (2024) - 2023
- [c49]Gizem Sogancioglu, Heysem Kaya, Albert Ali Salah:
The effects of gender bias in word embeddings on patient phenotyping in the mental health domain. ACII 2023: 1-8 - [c48]Gizem Sogancioglu
, Heysem Kaya
Using Explainability for Bias Mitigation: A Case Study for Fair Recruitment Assessment. ICMI 2023: 631-639 - [c47]Heysem Kaya
4th ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. ICMI 2023: 811-813 - [c46]Elena Ryumina
Multimodal Personality Traits Assessment (MuPTA) Corpus: The Impact of Spontaneous and Read Speech. INTERSPEECH 2023: 4049-4053 - [c45]Tessel Haagen, Heysem Kaya, Joop Snijder, Melchior Nierman:
AutoXplain: Towards Automated Interpretable Model Selection. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 18-23 - [i10]Florian van der Steen, Fré Vink, Heysem Kaya:
Privacy Constrained Fairness Estimation for Decision Trees. CoRR abs/2312.08413 (2023) - 2022
- [j13]Kaya ter Burg
Comparing Approaches for Explaining DNN-Based Facial Expression Classifications. Algorithms 15(10): 367 (2022) - [j12]Thomas Borger, Pablo Mosteiro
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. Expert Syst. Appl. 199: 116720 (2022) - [j11]Denis Dresvyanskiy
End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild. Multimodal Technol. Interact. 6(2): 11 (2022) - [j10]Hugo Jair Escalante
Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Trans. Affect. Comput. 13(2): 894-911 (2022) - [j9]Pinar Baki, Heysem Kaya
A Multimodal Approach for Mania Level Prediction in Bipolar Disorder. IEEE Trans. Affect. Comput. 13(4): 2119-2131 (2022) - [c44]Francisca Pessanha
Towards using Breathing Features for Multimodal Estimation of Depression Severity. ICMI 2022: 128-138 - [c43]Floris Van Steijn
Text-based Interpretable Depression Severity Modeling via Symptom Predictions. ICMI 2022: 139-147 - [c42]Anika van der Klis
3rd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. ICMI 2022: 807-809 - [c41]Alena Velichko, Maxim Markitantov, Heysem Kaya, Alexey Karpov:
Complex Paralinguistic Analysis of Speech: Predicting Gender, Emotions and Deception in a Hierarchical Framework. INTERSPEECH 2022: 4735-4739 - [c40]Dani Krebbers, Heysem Kaya
Multi-level Fusion of Fisher Vector Encoded BERT and Wav2vec 2.0 Embeddings for Native Language Identification. SPECOM 2022: 391-403 - [i9]Pinar Baki, Heysem Kaya, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah:
Speech Analysis for Automatic Mania Assessment in Bipolar Disorder. CoRR abs/2202.06766 (2022) - [i8]Thomas Borger, Pablo Mosteiro, Heysem Kaya
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. CoRR abs/2205.10234 (2022) - [i7]Gizem Sogancioglu, Heysem Kaya:
The effects of gender bias in word embeddings on depression prediction. CoRR abs/2212.07852 (2022) - 2021
- [j8]Metehan Doyran
MUMBAI: multi-person, multimodal board game affect and interaction analysis dataset. J. Multimodal User Interfaces 15(4): 373-391 (2021) - [j7]Almila Akdag Salah
The sound of silence: Breathing analysis for finding traces of trauma and depression in oral history archives. Digit. Scholarsh. Humanit. 36(Supplement): 2 (2021) - [c39]Gizem Sogancioglu, Heysem Kaya
Can mood primitives predict apparent personality? ACII 2021: 1-8 - [c38]Saeid Safavi, Heysem Kaya
2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. ICMI 2021: 862-863 - [c37]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech 2021: 431-435 - [c36]Joeri A. Zwerts
Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification. Interspeech 2021: 466-470 - [i6]Joeri A. Zwerts
Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification. CoRR abs/2101.10390 (2021) - [i5]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR abs/2102.13468 (2021) - 2020
- [c35]Casper Laugs, Hendrik Vincent Koops, Daan Odijk, Heysem Kaya
The Influence of Blind Source Separation on Mixed Audio Speech and Music Emotion Recognition. ICMI Companion 2020: 67-71 - [c34]Heysem Kaya
Combining Clustering and Functionals based Acoustic Feature Representations for Classification of Baby Sounds. ICMI Companion 2020: 509-513 - [c33]Heysem Kaya
Bridging Social Sciences and AI for Understanding Child Behaviour. ICMI 2020: 868-870 - [c32]Maxim Markitantov
Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges. INTERSPEECH 2020: 2072-2076 - [c31]Gizem Sogancioglu, Oxana Verkholyak
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition. INTERSPEECH 2020: 2097-2101 - [i4]Gizem Sogancioglu, Oxana Verkholyak, Heysem Kaya, Dmitrii Fedotov, Tobias Cadèe, Albert Ali Salah, Alexey Karpov:
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition. CoRR abs/2009.03432 (2020) - [i3]Denis Dresvyanskiy, Elena Ryumina
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild. CoRR abs/2010.03692 (2020)
2010 – 2019
- 2019
- [j6]Heysem Kaya
Predicting CO and NOxemissions from gas turbines: novel data and abenchmark PEMS. Turkish J. Electr. Eng. Comput. Sci. 27(6): 4783-4796 (2019) - [c30]Oxana Verkholyak
Hierarchical Two-level Modelling of Emotional States in Spoken Dialog Systems. ICASSP 2019: 6700-6704 - [c29]Heysem Kaya
Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics. AVEC@MM 2019: 27-35 - [c28]Nihan Karslioglu, Heysem Kaya
Movie Emotion Estimation with Multimodal Fusion and Synthetic Data Generation. SIU 2019: 1-4 - 2018
- [j5]Heysem Kaya
Efficient and effective strategies for cross-corpus acoustic emotion recognition. Neurocomputing 275: 1028-1034 (2018) - [c27]Heysem Kaya
LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition. INTERSPEECH 2018: 521-525 - [c26]Yasemin Timar, Nihan Karslioglu, Heysem Kaya
Feature Selection and Multimodal Fusion for Estimating Emotions Evoked by Movie Clips. ICMR 2018: 405-412 - [c25]Fabien Ringeval, Björn W. Schuller
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. AVEC@MM 2018: 3-13 - [c24]Dmitrii Fedotov, Heysem Kaya
Context Modeling for Cross-Corpus Dimensional Acoustic Emotion Recognition: Challenges and Mixup. SPECOM 2018: 155-165 - [i2]Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier:
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. CoRR abs/1802.00745 (2018) - 2017
- [j4]Heysem Kaya
Emotion, age, and gender classification in children's speech by humans and machines. Comput. Speech Lang. 46: 268-283 (2017) - [j3]Heysem Kaya
Video-based emotion recognition in the wild using deep transfer learning and score fusion. Image Vis. Comput. 65: 66-75 (2017) - [c23]Heysem Kaya
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs. CVPR Workshops 2017: 1651-1659 - [c22]Heysem Kaya
Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold. INTERSPEECH 2017: 3527-3531 - [c21]Nihan Karslioglu, Yasemin Timar, Albert Ali Salah, Heysem Kaya:
BOUN-NKU in MediaEval 2017 Emotional Impact of Movies Task. MediaEval 2017 - 2016
- [j2]Heysem Kaya
Combining modality-specific extreme learning machines for emotion recognition in the wild. J. Multimodal User Interfaces 10(2): 139-149 (2016) - [c20]Furkan Gürpinar, Heysem Kaya
Kernel ELM and CNN Based Facial Age Estimation. CVPR Workshops 2016: 785-791 - [c19]Furkan Gürpinar, Heysem Kaya
Combining Deep Facial and Ambient Features for First Impression Estimation. ECCV Workshops (3) 2016: 372-385 - [c18]Furkan Gürpinar, Heysem Kaya
Multimodal fusion of audio, scene, and face features for first impression estimation. ICPR 2016: 43-48 - [c17]Heysem Kaya
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks. INTERSPEECH 2016: 2046-2050 - [c16]Heysem Kaya
Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines. ISNN 2016: 115-123 - [c15]Ahmet Saygili
Automatic detection of meniscal area in the knee MR images. SIU 2016: 1337-1340 - 2015
- [b1]Heysem Kaya:
Robust machine learning methods for computational paralinguistics and multimodal affective computing (Hesaplamasal paralinguistik ve çok-kipli duyuşsal hesaplama için gürbüz yapay öğrenme yönemleri). Boğaziçi University, Turkey, 2015 - [j1]Heysem Kaya
Random Discriminative Projection Based Feature Selection with Application to Conflict Recognition. IEEE Signal Process. Lett. 22(6): 671-675 (2015) - [c14]Heysem Kaya
Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild. ICMI 2015: 459-466 - [c13]Heysem Kaya, Alexey Karpov, Albert Ali Salah:
Fisher vectors with cascaded normalization for paralinguistic analysis. INTERSPEECH 2015: 909-913 - [c12]Elena E. Lyakso
EmoChildRu: Emotional Child Russian Speech Corpus. SPECOM 2015: 144-152 - [i1]Heysem Kaya, Albert Ali Salah:
Adaptive Mixtures of Factor Analyzers. CoRR abs/1507.02801 (2015) - 2014
- [c11]Heysem Kaya
CCA based feature selection with application to continuous depression recognition from acoustic speech features. ICASSP 2014: 3729-3733 - [c10]Heysem Kaya
Continuous Mapping of Personality Traits: A Novel Challenge and Failure Conditions. MAPTRAITS@ICMI 2014: 17-24 - [c9]Heysem Kaya
Speaker- and Corpus-Independent Methods for Affect Classification in Computational Paralinguistics. ICMI 2014: 359-363 - [c8]Heysem Kaya
Combining Modality-Specific Extreme Learning Machines for Emotion Recognition in the Wild. ICMI 2014: 487-493 - [c7]Heysem Kaya, Tugçe Özkaptan, Albert Ali Salah, Sadik Fikret Gürgen:
Canonical correlation analysis and local fisher discriminant analysis based multi-view acoustic feature reduction for physical load prediction. INTERSPEECH 2014: 442-446 - [c6]Heysem Kaya
Ensemble CCA for Continuous Emotion Prediction. AVEC@MM 2014: 19-26 - [c5]Heysem Kaya
Eyes Whisper Depression: A CCA based Multimodal Approach. ACM Multimedia 2014: 961-964 - [c4]Heysem Kaya
Protocol and baseline for experiments on Bogazici University Turkish emotional speech corpus. SIU 2014: 1698-1701 - [d1]Pinar Tüfekçi, Heysem Kaya:
Combined Cycle Power Plant. UCI Machine Learning Repository, 2014 - 2013
- [c3]Omer Uzun, Heysem Kaya
Prenatal risk assessment of Trisomy 21 by probabilistic classifiers. SIU 2013: 1-4 - 2012
- [c2]Heysem Kaya
Posterior Probability Convergence of k-NN Classification and K-Means Clustering. ISCIS 2012: 171-179 - 2010
- [c1]Heysem Kaya
Stacking Class Probabilities Obtained from View-Based Cluster Ensembles. ICAISC (1) 2010: 397-404
Coauthor Index
Alexey Karpov 0001
aka: Alexey A. Karpov
aka: Alexey A. Karpov
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last updated on 2024-10-11 17:24 CEST by the dblp team
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