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kaya.oguz(a)cud.ac.ae

Academic Profiles

ORCID (0000-0002-1860-9127) · Google Scholar · DBLP

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Software

Adjacency Propagation Algorithm · WAPAL (Weighted APAL) · TPS Source

Latest update was on 23.Nov.2024.

Kaya Oğuz, PhD

Associate Professor

School of Engineering, Applied Science and Technology / Canadian University Dubai

Kaya Oğuz is currently an Associate Professor at the School of Engineering, Applied Science and Technology, Canadian University Dubai. With a robust academic background, he earned his PhD in Information Technologies from Ege University, his MSc in Computer Games Technology from Abertay University, and his bachelor degree in Software Engineering from Izmir University of Economics. He has offered several undergraduate and graduate courses in Ege University and Izmir University of Economics for over a decade before he joined CUD. He has also supervised masters and doctoral theses.

His research interests span machine learning, artificial intelligence in computer games, algorithms, and computational neuroscience, with numerous publications in top-tier journals and conferences. Kaya is also actively involved in various interdisciplinary projects, collaborating with industry and academia to advance technological innovation and education. His dedication to mentoring students and contributing to the academic community highlights his commitment to excellence in both teaching and research.

Graduate Theses
  • Melek Büşra Temuçin (PhD), "Understanding Human Learning Dynamics Through Reinforcement Learning in Gaming Environments"
  • İrem Ercan (PhD), "Exploring Spatial Perception: A Comparative Analysis on Wayfinding Behaviour in Real and Virtual Environment"
  • Tugay Direk (PhD), "Community Detection on Directed Networks"
  • Onur Can Yaşar (MSc), "Procedural Generation of Game Levels"
  • Çağkan Uludağlı (PhD), "Generating Meaningful Interactions Between Non-Playable Game Characters for Adaptive Gameplay", Completed December 2023.
  • Eray Kaçmaz (MSc), "Single Image Dehazing Using Convolutional Neural Networks", Completed July 2023.
  • Tugay Direk (MSc), "Computational Prediction of 3D Structures of G Quadruplex", Completed July 2022.
  • Cansu Özkan (MSc), "Feature Selection for Language Independent Speech Emotion Recognition", Completed July 2022.
  • Mert Akkanat (MSc), "Application of Agile Software Development Practices in Software Engineering Education", Completed July 2022.
  • Kasım Muratoğlu (MSc), "Assessment of Team and Individual Contribution in Computer and Software Engineering Education", Completed February 2021.
  • Dünya Kılavuz (MSc), "Procedural Level and Mission Generation for Computer Games", Completed August 2020.
  • Melek Büşra Temuçin (MSc), "Procedural City Generation using Cellular Automata", Ege University, International Computer Institute, Completed July 2020.
  • Cemre Candemir (PhD), "Çok Katılımcılı Sosyal Destek fMRI Çalışmalarında Değişim Noktası Tahminleme", Ege University, International Computer Institute, Completed September 2018.
  • Gani Rahmon (MSc), "Evaluation of Procedurally Generated Terrains via Artificial and Convolutional Neural Networks," Completed July 2018.
Projects
  • Mikro servislerde önbellek geliştirilmesi, HangiKredi, 2024-...
  • Yapay Zekâ ile Fatura-Sipariş Eşleştirme, Intecon, 2024-...
  • Yapay Zeka Destekli Okul Öncesi Dönem İçin Hazırlanmış Montessori Tabanlı Eğitici Mobil Oyun Geliştirilmesi, Piagmo, 2024-...
  • Müze Dışı Müze Eğitim Aracı Olarak Oyunlaştırılmış Artırılmış Gerçeklik Uygulamaları Üzerine Bir Tasarım ve Geliştirme Araştırması ile Yeşilova Höyüğü Ziyaretçi Merkezi Örneğinde Oyunlaştırılmış Artırılmış Gerçeklik Uygulamalarının Bilgi İletişimine Etkisinin Ölçümlenmesi, 2023-...
  • Karaciğer Transplantasyonu Yapılan Hastalara Yönelik Geliştirilen Akıllı Telefon Uygulamasının İmmünosüpresif İlaç Kullanımına Uyum, Anksiyete ve Yaşam Kalitesi Üzerine Etkisi, 2023-2024
  • Türk Sinema Tarihine Veriye Dayalı, Dijital Ve Açık Bir Yaklaşım: Yeşilçam Filmlerinin Üslup Özelliklerinin İncelenmesi, 2021-...
  • Mobil Oyun Yazılımı Geliştirme Süreçlerinin İyileştirilmesi, MASOMO Limited, 2020-2023
  • Sektör Bazlı Karbon Ayak İzi Düşürme Yazılımı Geliştirilmesi, CANSET Yazılım Çevre Enerji Danışmanlık Hizmetleri Ticaret A.Ş., 2022-2023
  • Outdoor Augmented Reality for Alternative Art Spaces, 2020-2022
  • Hafif Bilişsel Bozukluk Tanısı Alan Bireylerin Default Mode, Kısa Süreli Bellek Kayıt ve Geri Çağırma ile İlişkili Nöral Bileşenlerinin Erken Alzheimer Hastaları ile Onların Sağlıklı Kardeşleri ve Kontroller ile Karşılaştırılması, 2015-2018.
  • Çoklu İpucu Olasılıksal Öğrenme Görevi Sırasındaki Nöral Yapıların Graf Analizleri, 2018-2019
Publications
2024
[1]
M. Ç. Uludağlı and K. Oğuz, “From attributes to communities: a novel approach in social network generation,” PeerJ Comput. Sci., vol. 10, p. e2483, Nov. 2024, doi: 10.7717/peerj-cs.2483.
[2]
K. Oğuz, A. Aslan, E. Evcin, E. Özoğul, M. E. Sönmez, Y. Karabacak, İ. Korkmaz, and Z. F. Karagonlar, “Viability Analysis Of Drug-Treated Tumor Spheroids Using Machine Learning,” in 2024 Medical Technologies Congress (TIPTEKNO), Oct. 2024, pp. 1–4. doi: 10.1109/TIPTEKNO63488.2024.10755358.
[3]
D. Keskin-Gokcelli, G. Kizilates-Evin, S. Eroglu-Koc, K. Oguz, C. Eraslan, O. Kitis, and A. S. Gonul, “The effect of emotional faces on reward-related probability learning in depressed patients,” Journal of Affective Disorders, vol. 351, pp. 184–193, Apr. 2024, doi: 10.1016/j.jad.2024.01.247.
[4]
B. B. Burhanoglu, O. Uslu, B. Ozkul, K. Oguz, S. Eroglu-Koc, G. Kizilates-Evin, C. Candemir, Y. Erdogan, D. D. Mull, O. Kitis, and A. S. Gonul, “Task-dependent functional connectivity changes in response to varying levels of social support,” BJPsych Open, vol. 10, no. 5, p. e170, Sep. 2024, doi: 10.1192/bjo.2024.742.
2023
[5]
Ö. Uslu, S. Eroğlu, K. Oğuz, D. İ. Haznedaroğlu, M. C. Erata, Y. Erdoğan, Ö. Y. Kan, and A. S. Gönül, “The Effect of Aging on Face-Name Recognition: An fMRI Study,” Turk Psikiyatri Derg, vol. 35, no. 3, pp. 214–224, Nov. 2023, doi: 10.5080/u27095.
[6]
M. Ç. Uludağlı and K. Oğuz, “Non-player character decision-making in computer games,” Artif Intell Rev, vol. 56, no. 12, pp. 14159–14191, Dec. 2023, doi: 10.1007/s10462-023-10491-7.
[7]
B. Ozkul, C. Candemir, K. Oguz, S. Eroglu-Koc, G. Kizilates-Evin, O. Ugurlu, Y. Erdogan, D. D. Mull, M. C. Eker, O. Kitis, and A. S. Gonul, “Gradual Loss of Social Group Support during Competition Activates Anterior TPJ and Insula but Deactivates Default Mode Network,” Brain Sciences, vol. 13, no. 11, Art. no. 11, Nov. 2023, doi: 10.3390/brainsci13111509.
[8]
H. Coşgun, M. Köse, M. A. Sakarya, K. Oğuz, and G. Kardaş, “Hep İleri: Masomo Oyun Geliştirme Süreci,” presented at the 16. Ulusal Yazılım Mühendisliği Sempozyumu, Erzurum, 2023. [Online]. Available: https://ekitap.atauni.edu.tr/index.php/product/16-ulusal-yazilim-muhendisligi-sempozyumu-bildiri-kitabi/
2022
[9]
H. Yildirim-Celik, S. Eroglu, K. Oguz, G. Karakoc-Tugrul, Y. Erdogan, D. Isman-Haznedaroglu, C. Eker, and A. S. Gonul, “Emotional context effect on recognition of varying facial emotion expression intensities in depression,” Journal of Affective Disorders, vol. 308, pp. 141–146, Jul. 2022, doi: 10.1016/j.jad.2022.04.070.
[10]
G. Varinlioglu, K. Oguz, D. Turkmen, I. Ercan, and G. Turhan, “Work of Art in the Age of Metaverse: Exploring digital art through augmented reality,” in Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, Education and research in Computer Aided Architectural Design in Europe, 2022.
[11]
K. Oğuz and O. Doluca, “Extending APAL to Detect Overlapping Communities in Weighted Networks,” in 2022 3rd International Informatics and Software Engineering Conference (IISEC), Dec. 2022, pp. 1–4. doi: 10.1109/IISEC56263.2022.9998238.
[12]
K. Oğuz and A. Bor, “Prediction of Local Scour around Bridge Piers Using Hierarchical Clustering and Adaptive Genetic Programming,” Applied Artificial Intelligence, vol. 36, no. 1, p. 2001734, Dec. 2022, doi: 10.1080/08839514.2021.2001734.
[13]
İ. Dilek, K. Oğuz, and A. Demir, “Behaviour Analysis of Izmir Residents Using Public Wi-Fi Access Point Usage,” in 2022 3rd International Informatics and Software Engineering Conference (IISEC), Dec. 2022, pp. 1–6. doi: 10.1109/IISEC56263.2022.9998278.
[14]
C. Candemir and K. Oğuz, “Change Point Detection Methods for Locating Activations in Functional Neuronal Images,” Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, vol. 9, no. 1, Art. no. 1, Jun. 2022, doi: 10.35193/bseufbd.1091035.
2021
[15]
M. Tepekule, M. A. Sakarya, R. Diriman, K. Oğuz, and G. Kardaş, “Mobil Oyun Yazılım Süreçlerinde Canlandırma Kütüphaneleri Kullanımının Değerlendirilmesi,” TBV-BBMD, vol. 14, no. 2, Art. no. 2, Dec. 2021, doi: 10.54525/tbbmd.1028057.
[16]
C. Özkan and K. Oğuz, “Selecting Emotion Specific Speech Features to Distinguish One Emotion from Others,” in 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Aug. 2021, pp. 1–5. doi: 10.1109/INISTA52262.2021.9548533.
[17]
K. Oğuz, “Estimating the difficulty of Tartarus instances,” Pamukkale Univ Muh Bilim Derg, vol. 27, no. 2, pp. 114–121, 2021, doi: 10.5505/pajes.2020.00515.
[18]
O. Doluca and K. Oğuz, “APAL: Adjacency Propagation Algorithm for overlapping community detection in biological networks,” Information Sciences, vol. 579, pp. 574–590, Nov. 2021, doi: 10.1016/j.ins.2021.08.031.
2020
[19]
M. B. Temuçin, İ. Kocabaş, and K. Oğuz, “Using Cellular Automata as a Basis for Procedural Generation of Organic Cities,” European Journal of Engineering and Technology Research, vol. 5, no. 12, pp. 116–120, 2020.
[20]
Ö. Sağlam, K. Oğuz, and D. Ünay, “Algorithmic Detection of Oxide Nanosheets,” presented at the ImagineNano, 2020. [Online]. Available: http://www.confstreaming.com/IM2020/program.php
[21]
K. Oğuz, İ. Korkmaz, B. Korkmaz, G. Akkaya, C. Alıcı, and E. Kılıç, “Effect of Age and Gender on Facial Emotion Recognition,” in 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), Oct. 2020, pp. 1–6. doi: 10.1109/ASYU50717.2020.9259854.
[22]
K. Oğuz, “True scores for tartarus with adaptive GAs that evolve FSMs on GPU,” Information Sciences, vol. 525, pp. 1–15, Jul. 2020, doi: 10.1016/j.ins.2020.03.072.
[23]
M. B. Akçay and K. Oğuz, “Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers,” Speech Communication, vol. 116, pp. 56–76, Jan. 2020, doi: 10.1016/j.specom.2019.12.001.
2019
[24]
M. B. Temuçin and K. Oğuz, “Procedural City Generation Using Cellular Automata,” in Contemporary Topics in Computer Graphics and Games, 2019. [Online]. Available: https://www.peterlang.com/view/9783631805237/html/ch24.xhtml
[25]
K. Oğuz and J. Lameski, “Procedural Generation of Multiple Dungeon Levels Using Software Agents,” presented at the 13. Ulusal Yazılım Mühendisliği Sempozyumu, Izmir, 2019.
[26]
K. Oguz, “fMRI deneylerinin tasarımı, yürütülmesi ve analizi,” in 2019 Medical Technologies Congress (TIPTEKNO), Oct. 2019, pp. 1–4. doi: 10.1109/TIPTEKNO47231.2019.8972043.
[27]
K. Oğuz, “Adaptive Evolution of Finite State Machines for the Tartarus Problem,” in 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), Oct. 2019, pp. 1–5. doi: 10.1109/ASYU48272.2019.8946413.
[28]
D. Oguz and K. Oguz, “Perspectives on the Gap Between the Software Industry and the Software Engineering Education,” IEEE Access, vol. 7, pp. 117527–117543, 2019, doi: 10.1109/ACCESS.2019.2936660.
[29]
O. Cigdem, A. Sulucay, A. Yilmaz, K. Oguz, H. Demirel, O. Kitis, C. Eker, A. S. Gonul, and D. Unay, “Diagnosis of Bipolar Disease Using Correlation-Based Feature Selection with Different Classification Methods,” in 2019 Medical Technologies Congress (TIPTEKNO), Oct. 2019, pp. 1–4. doi: 10.1109/TIPTEKNO.2019.8895232.
[30]
O. Cigdem, R. Soyak, B. Aydeniz, K. Oguz, H. Demirel, O. Kitis, C. Eker, A. S. Gonul, and D. Unay, “Classification of Healthy Siblings of Bipolar Disorder Patients from Healthy Controls Using MRI,” in 2019 Medical Technologies Congress (TIPTEKNO), Oct. 2019, pp. 1–4. doi: 10.1109/TIPTEKNO.2019.8895015.
[31]
O. Cigdem, E. Horuz, R. Soyak, B. Aydeniz, A. Sulucay, K. Oguz, H. Demirel, O. Kitis, C. Eker, A. S. Gonul, and D. Unay, “Effects of Covariates on Classification of Bipolar Disorder Using Structural MRI,” in 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), Apr. 2019, pp. 1–4. doi: 10.1109/EBBT.2019.8741586.
[32]
O. Cigdem, E. Horuz, R. Soyak, B. Aydeniz, A. Sulucay, K. Oguz, H. Demirel, O. Kitis, C. Eker, A. S. Gonul, and D. Unay, “Classification of Patients with Bipolar Disorder and Their Healthy Siblings from Healthy Controls Using MRI,” in 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jun. 2019, pp. 1–6. doi: 10.1109/MeMeA.2019.8802207.
2018
[33]
S. Turk, K. Oguz, O. Kitis, C. Calli, C. Eraslan, M. N. Orman, T. Akalin, and T. Yurtseven, “Machine Learning Based Radiomics for Glial Tumor Classification,” presented at the 104th Scientific Assembly and Annual Meeting, Chicago, USA, 2018. [Online]. Available: http://archive.rsna.org/2018/18023089.html
[34]
K. Oguz, B. Canlıtürk, C. Kabar, O. Durukan, and B. Özceylan, “Digital recognition and evaluation of the clock drawing test,” in 2018 26th Signal Processing and Communications Applications Conference (SIU), May 2018, pp. 1–4. doi: 10.1109/SIU.2018.8404220.
[35]
I. Korkmaz and K. Oguz, “Application of Neural Gas Networks to Object Detection,” in Book Of Abstracts Of 4th International Conference On Engineering And Natural Sciences, Kiev, 2018, p. 442. [Online]. Available: https://www.icens.eu/sites/default/files/2018_icens_abstract_v9.pdf
[36]
G. Kızılateş, S. Eroğlu, D. Keskin Gökçelli, K. Oğuz, C. Eraslan, Ö. Kitiş, and A. S. Gönül, “Çoklu ipucu olasılıksal öğrenme görevi sırasındaki nöral yapıların graf analizler,” presented at the 16. Ulusal Sinirbilim Kongresi, Istanbul, 2018.
[37]
D. Keskin Gökçelli, S. Eroğlu, G. Kızılateş, K. Oğuz, Ö. Kitiş, and A. S. Gönül, “The Effects of Emotion on Probabilistic Reward Learning in Major Depressive Disorder,” presented at the The Brain Conference: Computational Neuroscience of Prediction, Rungstedgaard, Denmark, 2018.
[38]
D. Keskin Gökçelli, S. Eroğlu, G. Kızılateş, K. Oğuz, C. Hepdurgun, D. İşman Haznedaroğlu, M. Ercan, C. Eraslan, Ö. Kitiş, and A. S. Gönül, “Major Depresif Olan Olgularda Duygu Yüklü İfadelerin Ödülle İlişkili İpucunu Öğrenmeye Etkisi,” presented at the TPD 22. Yıllık Toplantısı ve Klinik Eğitim Sempozyumu, 2018. [Online]. Available: http://turkpsikiyatri.com/DigerDosyalar/22_KES_web.pdf
[39]
C. Candemir, K. Oğuz, B. Özkul, A. S. Gönül, M. A. Server, and S. Korukoğlu, “Fonksiyonel MR Görüntülerinden Aktivasyon Bölgelerinin Belirlenmesinde Kontrast Vektör Analizi: Sosyal Destek Deneyi Uygulaması,” presented at the XI. Tıp Bilişimi Kongresi, Ankara, 2018.
[40]
C. Candemir, K. Oğuz, S. Korukoğlu, and A. S. Gönül, “Detection and evaluation of activation instances as change points in functional MR images,” in 2018 26th Signal Processing and Communications Applications Conference (SIU), May 2018, pp. 1–4. doi: 10.1109/SIU.2018.8404273.
[41]
A. P. Akay, G. Ç. Kaya, S. Kose, Ç. E. Yazıcıoğlu, H. Ö. Erkuran, S. A. Güney, K. Oğuz, D. Keskin, B. Baykara, N. İ. Emiroğlu, M. Ş. Eren, S. Kızıldağ, T. Ertay, D. Özsoylu, S. Miral, H. Durak, A. S. Gönül, and L. A. Rohde, “Genetic imaging study with [Tc-99m] TRODAT-1 SPECT in adolescents with ADHD using OROS-methylphenidate,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 86, pp. 294–300, Aug. 2018, doi: 10.1016/j.pnpbp.2018.04.008.
2017
[42]
M. B. Temuçin and K. Oğuz, “Procedural City Generation Using Cellular Automata,” in Eurasiagraphics 2017 Conference Proceedings, 2017, pp. 27–41.
[43]
F. Simsek, K. Oguz, O. Kitis, S. T. Akan, M. J. Kempton, and A. S. Gonul, “Neural activation during cognitive reappraisal in girls at high risk for depression,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 77, pp. 49–56, Jul. 2017, doi: 10.1016/j.pnpbp.2017.03.022.
[44]
K. Oğuz and S. Gül, “Yazılım Mühendisliği Eğitiminde Takım Projelerinin Yönetimi ve Değerlendirilmesi,” presented at the 11. Ulusal Yazılım Mühendisliği Sempozyumu, Alanya, Turkey, 2017, pp. 184–195. [Online]. Available: http://ceur-ws.org/Vol-1980/UYMS17_paper_43.pdf
[45]
K. Oguz, M. G. Cinsdikici, and A. S. Gonul, “Robust activation detection methods for real-time and offline fMRI analysis,” Computer Methods and Programs in Biomedicine, vol. 144, pp. 1–11, Jun. 2017, doi: 10.1016/j.cmpb.2017.03.015.
[46]
S. Eroğlu, G. Kızılateş, M. Ercan, K. Oğuz, A. S. Gönül, and Ö. Kitiş, “Geç Başlangıçlı Depresyon Hastaları ile Sağlıklı Kontrollerin Bellek Performanslarının fMRG ile Karşılaştırılması,” in 15. Ulusal Sinirbilim Kongresi Özet Kitabi, 2017.
[47]
C. Candemir and K. Oğuz, “A Comparative Study on Parameter Selection and Outlier Removal for Change Point Detection in Time Series,” in 2017 European Conference on Electrical Engineering and Computer Science (EECS), Nov. 2017, pp. 218–224. doi: 10.1109/EECS.2017.48.
[48]
M. M. Bilgi, S. Taspinar, B. Aksoy, K. Oguz, K. Coburn, and A. S. Gonul, “The relationship between childhood trauma, emotion recognition, and irritability in schizophrenia patients,” Psychiatry Research, vol. 251, pp. 90–96, May 2017, doi: 10.1016/j.psychres.2017.01.091.
2016
[49]
M. Ercan, S. Eroğlu, G. Kızılateş, S. Bilgin, K. Oğuz, Ö. Kitiş, and A. S. Gönül, “Geç Başlangıçlı Depresyon Hastaları ile Sağlıklı Kontrollerin ‘Default Mode Network’ Aktivitesinin Karşılaştırılması,” in 14. Ulusal Sinirbilim Kongresi Abstract Kitabi, 2016.
2015
[50]
Z. A. Dağdeviren, K. Oğuz, and M. Cinsdikici, “Automatic registration of structural brain MR images to MNI image space,” in 2015 23nd Signal Processing and Communications Applications Conference (SIU), May 2015, pp. 359–362. doi: 10.1109/SIU.2015.7129833.
[51]
U. Biyik, D. Keskin, K. Oguz, F. Akdeniz, and A. S. Gonul, “Facial emotion recognition in remitted depressed women,” Asian Journal of Psychiatry, vol. 17, pp. 111–113, Oct. 2015, doi: 10.1016/j.ajp.2015.08.001.
2014
[52]
Z. A. Dagdeviren, K. Oguz, and M. G. Cinsdikici, “Three techniques for automatic extraction of corpus callosum in structural midsagittal brain MR images: Valley Matching, Evolutionary Corpus Callosum Detection and Hybrid method,” Engineering Applications of Artificial Intelligence, vol. 31, pp. 101–115, May 2014, doi: 10.1016/j.engappai.2013.10.004.
2013
[53]
F. Simsek, O. Kaya, S. Akan, D. Haznedaroglu Isman, D. Acikel, O. M. E. R. Kitis, S. Cetinkalp, M. Eker, K. Coburn, and A. Gonul, “P.2.b.032 Neural correlates of emotion regulation response to negative stimuli in young women at high risk for depression,” European Neuropsychopharmacology, vol. 23, pp. S337–S338, Oct. 2013, doi: 10.1016/S0924-977X(13)70531-5.
2012
[54]
O. Kitis, O. Ozalay, E. B. Zengin, D. Haznedaroglu, M. C. Eker, D. Yalvac, K. Oguz, K. Coburn, and A. S. Gonul, “Reduced left uncinate fasciculus fractional anisotropy in deficit schizophrenia but not in non-deficit schizophrenia,” Psychiatry and Clinical Neurosciences, vol. 66, no. 1, pp. 34–43, 2012, doi: 10.1111/j.1440-1819.2011.02293.x.
2010
[55]
K. Oğuz, “Bilgisayar Oyunlarında Kalabalıkların Hızlı Çizimi,” Anadolu University of Sciences & Technology A: Applied Sciences & Engineering, vol. 11, no. 1, pp. 23–33, 2010.
2009
[56]
M. S. Unluturk, K. Oguz, and C. Atay, “Emotion recognition using neural networks,” in Proceedings of the 10th WSEAS international conference on Neural networks, in NN’09. Stevens Point, Wisconsin, USA: World Scientific and Engineering Academy and Society (WSEAS), Mar. 2009, pp. 82–85. Accessed: Oct. 10, 2024. [Online]. Available: https://dl.acm.org/citation.cfm?id=1561813
[57]
M. S. Unluturk, K. Oguz, and C. Atay, “A comparison of neural networks for real-time emotion recognition from speech signals,” Wseas transactions on signal processing, vol. 5, no. 3, pp. 116–125, 2009.
Kaya Oğuz © 2024