Publications
2025
Scholarly publications
Markitantov, M., Ryumina, E., Kaya, H., & Karpov, A. (2025). Multi-Modal Multi-Task Affective States Recognition Based on Label Encoder Fusion. In Proc. Interspeech 2025 (pp. 3010-3014) https://www.isca-archive.org/interspeech_2025/markitantov25_interspeech.html
Yu, J., & Kaya, H. (2025). Using Emotionally Rich Speech Segments for Depression Prediction. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. [DOI]
Hattatoğlu, B., Qahtan, A. A., Kaya, H., & Velegrakis, Y. (2025). SynthFair: Ensuring Subgroup Fairness in Classification via Synthetic Data Generation. In R. Stahlbock, & H. R. Arabnia (Eds.), Data Science - 20th International Conference, ICDATA 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Revised Selected Papers (pp. 347-363). (Communications in Computer and Information Science; Vol. 2253 CCIS). Springer. [DOI]
2024
Scholarly publications
Sogancioglu, G., Mosteiro Romero, P., Salah, A., Scheepers, F. E., & Kaya, H. (2024). Fairness in AI-Based Mental Health: Clinician Perspectives and Bias Mitigation. Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society, 7, 1390-1400. https://ojs.aaai.org/index.php/AIES/article/view/31732 [Portal]
Ryumina, E., Markitantov, M., Ryumin, D., Kaya, H., & Karpov, A. (2024). Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (pp. 4752-4760 ) https://openaccess.thecvf.com/content/CVPR2024W/ABAW/html/Ryumina_Zero-Shot_Audio-Visual_Compound_Expression_Recognition_Method_based_on_Emotion_Probability_CVPRW_2024_paper.html [Portal]
Dresvyanskiy, D., Markitantov, M., Yu, J., Kaya, H., & Karpov, A. (2024). Multi-modal Arousal and Valence Estimation under Noisy Conditions. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (pp. 4772-4783). IEEE. https://openaccess.thecvf.com/content/CVPR2024W/ABAW/html/Dresvyanskiy_Multi-modal_Arousal_and_Valence_Estimation_under_Noisy_Conditions_CVPRW_2024_paper.html [Portal]
2023
Scholarly publications
Sogancioglu, G., Kaya, H., & Salah, A. A. (2023). The effects of gender bias in word embeddings on patient phenotyping in the mental health domain. In 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-8). Article 10388203 IEEE. [DOI] [Repository]
van der Steen, F., Vink, F., & Kaya, H. (2023). Privacy Constrained Fairness Estimation for Decision Trees. (pp. 1-52). arXiv. [DOI] [Repository]
Haagen, T., Kaya, H., Snijder, J., & Nierman, M. (2023). AutoXplain: Towards Automated Interpretable Model Selection. In L. Longo (Ed.), xAI-2023 Late-breaking Work, Demos and Doctoral Consortium Joint Proceedings: Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023) (Vol. 3554, pp. 18-23). (CEUR Workshop Proceedings). CEUR WS. https://ceur-ws.org/Vol-3554/paper4.pdf [Repository]
Kaya, H., Neerincx, A., Najafian, M., & Safavi, S. (2023). 4th ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. 811-813. Paper presented at 25th International Conference on Multimodal Interaction, Paris, France. [DOI]
Sogancioglu, G., Kaya, H., & Salah, A. A. (2023). Using Explainability for Bias Mitigation: A Case Study for Fair Recruitment Assessment. 631-639. Paper presented at 25th International Conference on Multimodal Interaction, Paris, France. [DOI]
Ryumina, E., Ryumin, D., Markitantov, M., Kaya, H., & Karpov, A. (2023). Multimodal Personality Traits Assessment (MuPTA) Corpus: The Impact of Spontaneous and Read Speech. 4049-4053. Paper presented at INTERSPEECH 2023, Dublin, Ireland. [DOI]
2022
Scholarly publications
Pessanha, F., Kaya, H., Salah, A. A. A., & Salah, A. A. (2022). Towards using Breathing Features for Multimodal Estimation of Depression Severity. In ICMI '22: Proceedings of the 2022 International Conference on Multimodal Interaction (pp. 128-138). Association for Computing Machinery. [DOI] [Repository]
Sogancioglu, G., & Kaya, H. (2022). The effects of gender bias in word embeddings on depression prediction. [Repository]
Krebbers, D., Kaya, H., & Karpov, A. (2022). Multi-level Fusion of Fisher Vector Encoded BERT and Wav2vec 2.0 Embeddings for Native Language Identification. In S. R. M. Prasanna, A. Karpov, K. Samudravijaya, & S. S. Agrawal (Eds.), Speech and Computer: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings (1 ed., pp. 391-403). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13721 LNAI). Springer. [DOI] [Repository]
Van steijn, F., Sogancioglu, G., & Kaya, H. (2022). Text-based Interpretable Depression Severity Modeling via Symptom Predictions. 139-147. Paper presented at 24th ACM International Conference on Multimodal Interaction, Bengaluru, India. [DOI]
van der Klis, A., Kaya, H., Najafian, M., & Safavi, S. (2022). 3rd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. In ICMI '22: International Conference on Multimodal Interaction (pp. 807-809). Association for Computing Machinery. [DOI] [Repository]
ter Burg, K., & Kaya, H. (2022). Comparing Approaches for Explaining DNN-Based Facial Expression Classifications. Algorithms, 15(10), 1-22. Article 367. [DOI] [Repository]
Velichko, A., Markitantov, M., Kaya, H., & Karpov, A. (2022). Complex Paralinguistic Analysis of Speech: Predicting Gender, Emotions and Deception in a Hierarchical Framework. 4735-4739. Paper presented at INTERSPEECH 2022, Incheon, Korea, Republic of. [DOI]
Baki, P., Kaya, H., Çiftçi, E., Güleç, H., & Salah, A. A. (2022). A Multimodal Approach for Mania Level Prediction in Bipolar Disorder. IEEE Transactions on Affective Computing, 13(4), 2119-2131. Article 9835028. [DOI]
Borger, T., Mosteiro Romero, P., Kaya, H., Rijcken, E., Salah, A., Scheepers, F., & Spruit, M. (2022). Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. Expert Systems with Applications, 199, 1-9. Article 116720. [DOI] [Repository]
Dresvyanskiy, D., Ryumina, E., Kaya, H., Markitantov, M., Karpov, A., & Minker, W. (2022). End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild. Multimodal Technologies and Interaction, 6(2), 1-23. Article 11. [DOI] [Repository]
Escalante, H. J., Kaya, H., Salah, A. A., Escalera, S., Gucluturk, Y., Guclu, U., Baro, X., Guyon, I., Jacques, J. C. S., Madadi, M., Ayache, S., Viegas, E., Gurpinar, F., Wicaksana, A. S., Liem, C., Van Gerven, M. A. J., & Van Lier, R. (2022). Modeling, Recognizing, and Explaining Apparent Personality from Videos. IEEE Transactions on Affective Computing, 13(2), 894-911. [DOI] [Repository]
2021
Scholarly publications
Safavi, S., Kaya, H., Hessels, R. S., Najafian, M., & Hanekamp, S. (2021). 2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. 862-863. [DOI]
Schuller, B. W., Batliner, A., Bergler, C., Mascolo, C., Han, J., Lefter, I., Kaya, H., Amiriparian, S., Baird, A., Stappen, L., Ottl, S., Gerczuk, M., Tzirakis, P., Brown, C., Chauhan, J., Grammenos, A., Hasthanasombat, A., Spathis, D., Xia, T., ... Kaandorp, C. S. (2021). The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. 431-435. Paper presented at INTERSPEECH 2021, Brno, Czech Republic. [DOI]
Zwerts, J. A., Treep, J., Kaandorp, C., Meewis, F., Koot, A. C., & Kaya, H. (2021). Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification. 466-470. Paper presented at INTERSPEECH 2021, Brno, Czech Republic. [DOI]
Norder, A., Sogancioglu, G., & Kaya, H. (2021). The more the better? The effect of domain-specific dataset on entity extraction from Dutch criminal records. Paper presented at The 31st Meeting of Computational Linguistics in The Netherlands, Ghent, Belgium.
Doyran, M., Schimmel, A., Baki, P., Ergin, K., Türkmen, B., Akdag, A., Bakkes, S., Kaya, H., Poppe, R., & Salah, A. (2021). MUMBAI: multi-person, multimodal board game affect and interaction analysis dataset. Journal on Multimodal User Interfaces, 15(4), 373–391. [DOI] [Repository]
Akdag, A. A., Salah, A. A., Kaya, H., Doyran, M., & Kavcar, E. (2021). The sound of silence: Breathing analysis for finding traces of trauma and depression in oral history archives. Digital Scholarship in the Humanities, 36(S2), ii2–ii8. [DOI] [Repository]
2020
Scholarly publications
Crijns, T., Doyran, M., van der Goes, M., Herrera, C., Kaya, H., Kayhan, O. S., Klein, R., Koops, V., Laugs, C., & Odijk, D. (2020). Multimodal Emotion Recognition for Visualizing Storyline in a TV Series. In Proc. ICT with Industry https://ict-research.nl/wordpress/wp-content/uploads/2020/09/Report_final-RTL-2020.pdf [Repository]
Baki, P., Kaya, H., Ciftci, E., Gulec, H., & Salah, AA. (2020). Speech Analysis for Automatic Mania Assessment in Bipolar Disorder. In IEEE 28th Signal Processing and Communications Applications Conference (SIU) IEEE.
Laugs, C., Koops, H. V., Odijk, D., Kaya, H., & Volk, A. (2020). The Influence of Blind Source Separation on Mixed Audio Speech and Music Emotion Recognition. 67-71. Paper presented at ICMI 2020 Late Breaking Results, Utrecht, Netherlands. [DOI]
Kaya, H., Verkholyak, O., Markitantov, M., Karpov, A., & Markitantov, M. (2020). Combining Clustering and Functionals based Acoustic Feature Representations for Classification of Baby Sounds. 509-513. Paper presented at ICMI 2020 Workshop on Bridging Social Sciences and AI for Understanding Child Behavior, Utrecht, Netherlands. [DOI]
Sogancioglu, G., Verkholyak, O., Kaya, H., Fedotov, D., Cadee, T., Salah, A. A., & Karpov, A. (2020). Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition. 2097-2101. Paper presented at INTERSPEECH 2020, Shanghai, China. [DOI]
Markitantov, M., Dresvyanskiy, D., Mamontov, D., Kaya, H., Minker, W., & Karpov, A. (2020). Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges. 2072-2076. Paper presented at INTERSPEECH 2020, Shanghai, China. [DOI]
Kaya, H., Hessels, R. S., Najafian, M., Hanekamp, S., & Safavi, S. (2020). Bridging Social Sciences and AI for Understanding Child Behaviour. 868-870. Paper presented at International Conference on Multimodal Interaction (ICMI) 2020, Utrecht, Netherlands. [DOI]
2019
Scholarly publications
Schimmel, A., Doyran, M., Akdag, A. A., Bakkes, S. C. J., Kaya, H., Poppe, R. W., & Salah, A. A. (2019). Multi-person board game affect analysis dataset: MP-BGAAD. In H. Dibeklioğlu, & E. Sürer (Eds.), Proceedings eNTERFACE’19 : 15th International Summer Workshop on Multimodal Interfaces Computer Engineering Department Bilkent University. [Repository]
Akdag, A. A., Ocak, M., Kavcar, E., Kaya, H., & Salah, A. A. (2019). Hidden in a Breath: Tracing the Breathing Patterns of Survivors of Traumatic Events. Paper presented at Digital Humanities conference 2019, Utrecht, Netherlands.
Salah, A. A., Kaya, H., & Gürpınar, F. (2019). Video-based emotion recognition in the wild. In X. Alameda-Pineda, E. Ricci, & N. Sebe (Eds.), Multimodal behavior analysis in the wild: advances and challenges (pp. 369-386). (Computer vision and pattern recognition series). Academic Press. [DOI]
Verkholyak, O., Kaya, H., & Karpov, A. (2019). Modeling Short-Term and Long-Term Dependencies of the Speech Signal for Paralinguistic Emotion Classification. SPIIRAS Proceedings, 18(1), 30-56. [DOI] [Repository]
Kaya, H., Tüfekci, P., & Uzun, E. (2019). Predicting CO and NOx emissions from gas turbines: novel data and a benchmark PEMS. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 27(6), 4783-4796. [DOI]
Kaya, H., Fedotov, D., Dresvyanskiy, D., Doyran, M., Mamontov, D., Markitantov, M., Salah, A. A. A., Kavcar, E., Karpov, A., & Salah, A. A. (2019). Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics. 27-35. Paper presented at the 9th International. [DOI]
Kaya, H., Keklik, I., Ensari, T., Alkan, F., & Biricik, Y. (2019). Oak leaf classification: an analysis of features and classifiers. In Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019 Article 8742053 IEEE. [DOI]
Verkholyak, O., Fedotov, D., Kaya, H., Zhang, Y., & Karpov, A. (2019). Hierarchical Two-level Modelling of Emotional States in Spoken Dialog Systems. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (Vol. 2019-May, pp. 6700-6704). Article 8683240 IEEE. [DOI]
2018
Scholarly publications
Kaya, H., & Karpov, A. A. (2018). Efficient and effective strategies for cross-corpus acoustic emotion recognition. Neurocomputing, 275, 1028-1034. [DOI]
Kaya, H., Fedotov, D., Yeşilkanat, A., Verkholyak, O., Zhang, Y., & Karpov, A. (2018). LSTM based cross-corpus and cross-task acoustic emotion recognition. In INTERSPEECH-2018 (Vol. 2018-September, pp. 521-525) [DOI]
Fedotov, D., Kaya, H., & Karpov, A. (2018). Context Modeling for Cross-Corpus Dimensional Acoustic Emotion Recognition: Challenges and Mixup. In R. Potapova, O. Jokisch, & A. Karpov (Eds.), Speech and Computer - 20th International Conference, SPECOM 2018, Proceedings (pp. 155-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11096 LNAI). Springer. [DOI]
Timar, Y., Karslioglu, N., Kaya, H., & Salah, A. A. (2018). Feature selection and multimodal fusion for estimating emotions evoked by movie clips. In ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval (pp. 405-412). Association for Computing Machinery. [DOI]
Ciftci, E., Kaya, H., Gulec, H., & Salah, A. A. (2018). The Turkish Audio-Visual Bipolar Disorder Corpus. In 2018 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018 Article 8470362 IEEE. [DOI]
Ringeval, F., Cowie, R., Amiriparian, S., Michaud, A., Schuller, B., Kaya, H., Cummins, N., Çiftçi, E., Valstar, M., Schmitt, M., Lalanne, D., Güleç, H., Salah, A. A., & Pantic, M. (2018). AVEC 2018 Workshop and Challenge: Bipolar disorder and cross-cultural affect recognition. In AVEC 2018 - Proceedings of the 2018 Audio/Visual Emotion Challenge and Workshop, co-located with MM 2018 (pp. 3-13). Association for Computing Machinery. [DOI]
2017
Scholarly publications
Kaya, H., Gürpınar, F., & Salah, A. A. (2017). Video-based emotion recognition in the wild using deep transfer learning and score fusion. Image and Vision Computing, 65, 66-75. [DOI]
Kaya, H., Salah, A. A., Karpov, A., Frolova, O., Grigorev, A., & Lyakso, E. (2017). Emotion, age, and gender classification in children's speech by humans and machines. Computer Speech and Language, 46, 268-283. [DOI]
Kaya, H., Gurpinar, F., & Salah, A. A. (2017). Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 (Vol. 2017-July, pp. 1651-1659). Article 8014944 IEEE. [DOI]
Karslioglu, N., Timar, Y., Salah, A. A., & Kaya, H. (2017). BOUN-NKU in mediaeval 2017 emotional impact of movies task. (CEUR Workshop Proceedings).
Kaya, H., & Karpov, A. A. (2017). Introducing weighted kernel classifiers for handling imbalanced paralinguistic corpora: Snoring, addressee and cold. In INTERSPEECH-2017 (Vol. 2017-August, pp. 3527-3531). (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH). [DOI]
2016
Scholarly publications
Kaya, H., & Salah, A. A. (2016). Combining modality-specific extreme learning machines for emotion recognition in the wild. Journal on Multimodal User Interfaces, 10(2), 139-149. [DOI]
Kaya, H., Karpov, A. A., & Salah, A. A. (2016). Robust acoustic emotion recognition based on cascaded normalization and extreme learning machines. In L. Cheng, Q. Liu, & A. Ronzhin (Eds.), Advances in Neural Networks - 13th International Symposium on Neural Networks, ISNN 2016, Proceedings (pp. 115-123). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9719). Springer. [DOI]
Saygili, A., Kaya, H., & Albayrak, S. (2016). Diz MR Görüntülerinde Menisküs Bölgelerinin Otomatik Tespiti. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings (pp. 1337-1340). IEEE. [DOI]
Kaya, H., & Karpov, A. A. (2016). Fusing acoustic feature representations for computational paralinguistics tasks. In INTERSPEECH-2016 (Vol. 08-12-September-2016, pp. 2046-2050). (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH). [DOI]
Gürpınar, F., Kaya, H., & Salah, A. A. (2016). Combining deep facial and ambient features for first impression estimation. In G. Hua, & H. Jegou (Eds.), Computer Vision – ECCV 2016 Workshops, Proceedings (pp. 372-385). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9915 LNCS). Springer. [DOI]
Gurpinar, F., Kaya, H., Dibeklioglu, H., & Salah, A. A. (2016). Kernel ELM and CNN Based Facial Age Estimation. In Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016 (pp. 785-791). Article 7789593 IEEE. [DOI]
Gürpinar, F., Kaya, H., & Salah, A. A. (2016). Multimodal fusion of audio, scene, and face features for first impression estimation. In 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (Vol. 0, pp. 43-48). Article 7899605 IEEE. [DOI]
2015
Scholarly publications
Lyakso, E., Frolova, O., Dmitrieva, E., Grigorev, A., Kaya, H., Salah, A. A., & Karpov, A. (2015). EmoChildRu: Emotional child Russian speech corpus. In A. Ronzhin, R. Potapova, & N. Fakotakis (Eds.), Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings (pp. 144-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9319). Springer. [DOI]
Vegas, M., Halfon, S., Cavdar, A., & Kaya, H. (2015). When interventions make an impact: An empirical investigation of analyst's communications and patient's productivity. Psychoanalytic Psychology, 32(4), 580-607. [DOI]
Kaya, H., Özkaptan, T., Salah, A. A., & Gurgen, F. (2015). Random discriminative projection based feature selection with application to conflict recognition. IEEE Signal Processing Letters, 22(6), 671-675. Article 6936899. [DOI]
Kaya, H., Karpov, A. A., & Salah, A. A. (2015). Fisher vectors with cascaded normalization for paralinguistic analysis. In INTERSPEECH-2015 (Vol. 2015-January, pp. 909-913). (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).
Kaya, H., Gürpinar, F., Afshar, S., & Salah, A. A. (2015). Contrasting and combining least squares based learners for emotion recognition in the wild. In ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction (pp. 459-466). Association for Computing Machinery. [DOI]
2014
Scholarly publications
Kaya, H., & Salah, A. A. (2014). Combining modality-specific extreme learning machines for emotion recognition in the wild. In ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction (pp. 487-493). Association for Computing Machinery. [DOI]
Kaya, H. (2014). Speaker- And corpus-independent methods for affect classification in computational paralinguistics. In ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction (pp. 359-363). Association for Computing Machinery. [DOI]
Kaya, H., & Salah, A. A. (2014). Eyes whisper depression: A CCA based multimodal approach. In MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia (pp. 961-964). Association for Computing Machinery. [DOI]
Kaya, H., & Salah, A. A. (2014). Continuous mapping of personality traits: A novel challenge and failure conditions. In MAPTRAITS 2014 - Proceedings of the 1st ACM Audio/Video Mapping Personality Traits Challenge and Workshop, Co-located with ICMI 2014 (pp. 17-24). Association for Computing Machinery. [DOI]
Kaya, H., Eyben, F., Salah, A. A., & Schuller, B. (2014). CCA based feature selection with application to continuous depression recognition from acoustic speech features. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 3729-3733). Article 6854298 IEEE. [DOI]
Kaya, H., Salali, A. A., Gurgen, S. F., & Ekenel, H. (2014). Boǧaziçi üniversitesi türkçe duygulu konuşma veritabani üzerinde deneyler için protokol ve taban çizgis. In 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings (pp. 1698-1701). Article 6830575 IEEE. [DOI]
Kaya, H., Özkaptan, T., Salah, A. A., & Gürgen, S. F. (2014). Canonical correlation analysis and local fisher discriminant analysis based multi-view acoustic feature reduction for physical load prediction. In INTERSPEECH-2014 (pp. 442-446). (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).
Kaya, H., Çilli, F., & Salah, A. A. (2014). Ensemble CCA for continuous emotion prediction. In AVEC 2014 - Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, Workshop of MM 2014 (pp. 19-26). Association for Computing Machinery. [DOI]
2013
Scholarly publications
Kaya, H., Kurşun, O., & Gürgen, F. (2013). Posterior probability convergence of k-NN classification and K-means clustering. In Proc. 27th International Symposium on Computer and Information Sciences, ISCIS 2012 (pp. 171-179) [DOI]
Uzun, Ö., Kaya, H., Gürgen, F., & Varol, F. G. (2013). Olasiliksal siniflandiricilar ile doǧum öncesinde trizomi 21 risk hesaplamas. In 2013 21st Signal Processing and Communications Applications Conference, SIU 2013 Article 6531604 [DOI]
2010
Scholarly publications
Kaya, H., Kurşun, O., & Şeker, H. (2010). Stacking class probabilities obtained from view-based cluster ensembles. In Artificial Intelligence and Soft Computing - 10th International Conference, ICAISC 2010 (PART 1 ed., pp. 397-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6113 LNAI, No. PART 1). [DOI]