Heysem Kaya

Heysem Kaya

Universiteit Utrecht

H-index: 27

Europe-Netherlands

About Heysem Kaya

Heysem Kaya, With an exceptional h-index of 27 and a recent h-index of 24 (since 2020), a distinguished researcher at Universiteit Utrecht, specializes in the field of Machine Learning, Speech Processing, Speech Emotion Recognition, Affective Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition

AutoXplain: Towards Automated Interpretable Model Selection

The effects of gender bias in word embeddings on patient phenotyping in the mental health domain

Privacy Constrained Fairness Estimation for Decision Trees

4th ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Using Explainability for Bias Mitigation: A Case Study for Fair Recruitment Assessment

Multimodal personality traits assessment (MuPTA) corpus: the impact of spontaneous and read speech

Heysem Kaya Information

University

Position

Assistant Professor of Social and Affective Computing

Citations(all)

2413

Citations(since 2020)

1860

Cited By

1197

hIndex(all)

27

hIndex(since 2020)

24

i10Index(all)

45

i10Index(since 2020)

41

Email

University Profile Page

Universiteit Utrecht

Google Scholar

View Google Scholar Profile

Heysem Kaya Skills & Research Interests

Machine Learning

Speech Processing

Speech Emotion Recognition

Affective Computing

Top articles of Heysem Kaya

Title

Journal

Author(s)

Publication Date

Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision

arXiv preprint arXiv:2403.12687

Elena Ryumina

Maxim Markitantov

Dmitry Ryumin

Heysem Kaya

Alexey Karpov

2024/3/19

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition

arXiv preprint arXiv:2403.12609

Denis Dresvyanskiy

Maxim Markitantov

Jiawei Yu

Peitong Li

Heysem Kaya

...

2024/3/19

AutoXplain: Towards Automated Interpretable Model Selection

Tessel Haagen

Heysem Kaya

Joop Snijder

Melchior Nierman

2023

The effects of gender bias in word embeddings on patient phenotyping in the mental health domain

Gizem Sogancioglu

Heysem Kaya

Albert Ali Salah

2023/9/10

Privacy Constrained Fairness Estimation for Decision Trees

arXiv preprint arXiv:2312.08413

Florian van der Steen

Fré Vink

Heysem Kaya

2023/12/13

4th ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Heysem Kaya

Anouk Neerincx

Maryam Najafian

Saeid Safavi

2023/10/9

Using Explainability for Bias Mitigation: A Case Study for Fair Recruitment Assessment

Gizem Sogancioglu

Heysem Kaya

Albert Ali Salah

2023/10/9

Multimodal personality traits assessment (MuPTA) corpus: the impact of spontaneous and read speech

Proceedings of ISCA International Conference INTERSPEECH

Elena Ryumina

Dmitry Ryumin

Maxim Markitantov

Heysem Kaya

Alexey Karpov

2023/8/20

A multimodal approach for mania level prediction in bipolar disorder

IEEE Transactions on Affective Computing

Pınar Baki

Heysem Kaya

Elvan Çiftçi

Hüseyin Güleç

Albert Ali Salah

2022/7/21

Text-based interpretable depression severity modeling via symptom predictions

Floris Van Steijn

Gizem Sogancioglu

Heysem Kaya

2022/11/7

Speech analysis for automatic mania assessment in bipolar disorder

arXiv preprint arXiv:2202.06766

Pınar Baki

Heysem Kaya

Elvan Çiftçi

Hüseyin Güleç

Albert Ali Salah

2022/2/5

3rd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Anika van der Klis

Heysem Kaya

Maryam Najafian

Saeid Safavi

2022/11/7

The effects of gender bias in word embeddings on depression prediction

arXiv preprint arXiv:2212.07852

Gizem Sogancioglu

Heysem Kaya

2022/12/15

Comparing Approaches for Explaining DNN-Based Facial Expression Classifications

Algorithms

Kaya ter Burg

Heysem Kaya

2022/10/3

End-to-end modeling and transfer learning for audiovisual emotion recognition in-the-wild

Multimodal Technologies and Interaction

Denis Dresvyanskiy

Elena Ryumina

Heysem Kaya

Maxim Markitantov

Alexey Karpov

...

2022/1/27

Multi-level Fusion of Fisher Vector Encoded BERT and Wav2vec 2.0 Embeddings for Native Language Identification

Dani Krebbers

Heysem Kaya

Alexey Karpov

2022/11/10

Complex Paralinguistic Analysis of Speech: Predicting Gender, Emotions and Deception in a Hierarchical Framework.

INTERSPEECH

Alena Velichko

Maxim Markitantov

Heysem Kaya

Alexey Karpov

2022/9/18

3rd Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Anika van der Klis

Heysem Kaya

Maryam Najafian

Saeid Safavi

2022/11/7

Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting

Expert Systems with Applications

Thomas Borger

Pablo Mosteiro

Heysem Kaya

Emil Rijcken

Albert Ali Salah

...

2022/8/1

Towards using breathing features for multimodal estimation of depression severity

Francisca Pessanha

Heysem Kaya

Alkim Almila Akdag Salah

Albert Ali Salah

2022/11/7

See List of Professors in Heysem Kaya University(Universiteit Utrecht)

Co-Authors

H-index: 109
Björn Schuller

Björn Schuller

Imperial College London

H-index: 103
Maja Pantic

Maja Pantic

Imperial College London

H-index: 63
Sergio Escalera

Sergio Escalera

Universidad de Barcelona

H-index: 44
Albert Ali Salah

Albert Ali Salah

Universiteit Utrecht

H-index: 25
Shahin Amiriparian

Shahin Amiriparian

Technische Universität München

H-index: 24
Hamdi Dibeklioglu

Hamdi Dibeklioglu

Bilkent Üniversitesi

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