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Mapping discrete emotions in the dimensional space: an acoustic approach
Názov Mapping discrete emotions in the dimensional space: an acoustic approach Autor Trnka Marián 1971- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Spoluautori Darjaa Sakhia 1955- SAVINFO - Ústav informatiky SAV SCOPUS RID Ritomský Marian 1958- SAVINFO - Ústav informatiky SAV SCOPUS RID Sabo Róbert 1981- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Rusko Milan 1960- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Schaper Meilin Stelkens-Kobsch Tim Zdroj.dok. Electronics. Vol. 10, no. 23 (2021), art. no. 2950 Jazyk dok. eng - angličtina Druh dok. rozpis článkov z periodík (rbx) Ohlasy MIHALACHE, Serban - BURILEANU, Dragos - FRANTI, Eduard - DASCALU, Monica - BRATAN, Costin-Andrei. Lasting emotions - An investigation of short- and long-term affective content remanence in speech. In ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY, 2022, vol. 25, no. 1, pp. 20-35. ISSN 1453-8245. HORVAT, Marko - JOVIC, Alan - BURNIK, Kristijan. Investigation of Relationships between Discrete and Dimensional Emotion Models in Affective Picture Databases Using Unsupervised Machine Learning. In APPLIED SCIENCES-BASEL, 2022, vol. 12, no. 15, pp. Dostupné na: https://doi.org/10.3390/app12157864. WANG, Xuanyi - ZHOU, Huiling - XUE, Weichen - ZHU, Zhibin - JIANG, Wenchen - FENG, Jingwen - XU, Yifei - CHEN, Hang - CHEN, Shulin. The hybrid discrete-dimensional frame method for emotional film selection. In CURRENT PSYCHOLOGY, 2022, vol., no., pp. ISSN 1046-1310. Dostupné na: https://doi.org/10.1007/s12144-022-04038-2. PLEVA, Matus - MARTENS, Elien - JUHAR, Jozef. Automated Covid-19 Respiratory Symptoms Analysis from Speech and Cough. In SAMI 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics, Proceedings, 2022-01-01, pp. 127-132. Dostupné na: https://doi.org/10.1109/SAMI54271.2022.9780815. SHARMA, R. - DHAMYAL, H. - RAJ, B. - SINGH, R. Unifying the discrete and continuous emotion labels for speech emotion recognition. In arXiv:2210.16642. 2022, pp. 1-5. PLEVA, Matus - LIAO, Yuan-Fu - BOURS, Patrick. Human-Computer Interaction for Intelligent Systems. In ELECTRONICS, 2023, vol. 12, no. 1, pp. Dostupné na: https://doi.org/10.3390/electronics12010161. CITTADINI, R. - TAMANTINI, C. - SCOTTO DI LUZIO, F. - LAURETTI, C. - ZOLLO, L. - CORDELLA, F. Affective state estimation based on Russell’s model and physiological measurements. In Scientific Reports. 2023, vol. 13, no. 1, pp. 1-14. ISSN 2045-2322. doi: 10.1038/s41598-023-36915-6. JUNG, S. - LI, Y. Impact of spatial environment design on cognitive load. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 2023, pp. 849-850. ISBN 979-8-3503-4839-2. doi: 10.1109/VRW58643.2023.00267. ANTONIO DE RUS, Juan - MONTAGUD, Mario - COBOS, Maximo. Towards the Creation of Scalable Tools for automatic Quality of Experience Evaluation and a Multi-Purpose Dataset for Affective Computing. In PROCEEDINGS OF THE 2023 ACM INTERNATIONAL CONFERENCE ON INTERACTIVE MEDIA EXPERIENCES, IMX 2023, 2023, vol., no., pp. 269-275. RI, Francesco Ardan Dal - CIARDI, Fabio Cifariello - CONCI, Nicola. Speech Emotion Recognition and Deep Learning: An Extensive Validation Using Convolutional Neural Networks. In IEEE ACCESS, 2023, vol. 11, no., pp. 116638-116649. ISSN 2169-3536. ANTONIO DE RUS, Juan - MONTAGUD, Mario - COBOS, Maximo. Towards the Creation of Tools for Automatic Quality of Experience Evaluation with Focus on Interactive Virtual Environments. In PROCEEDINGS OF THE 2023 ACM INTERNATIONAL CONFERENCE ON INTERACTIVE MEDIA EXPERIENCES, IMX 2023, 2023, vol., no., pp. 411-414. JUNG, Sungchul - LI, Yi (Joy). The Potential Impact of VR Classroom Style on Learning Efficacy. In 2024 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW 2024, 2024, vol., no., pp. 145-150. Dostupné na: https://doi.org/10.1109/VRW62533.2024.00030. LI, Yong - ZHANG, Haixiao - XU, Wendong. Research on Emotion Prediction Based on Emotional Changes in Dialogue Scenarios. In Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024, 2024-01-01, pp. 379-384. Dostupné na: https://doi.org/10.1109/CCDC62350.2024.10587851. ABDULAZEEZ, A.M. - AGEED, Z.S. Face emotion recognition based on machine learning: A review. In International Journal of Informatics, Information System and Computer Engineering (INJIISCOM). ISSN 2810-0670, 2024, vol. 5, no. 1, pp. 21-55 Kategória ADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2021 Registrované v WOS Registrované v SCOPUS Registrované v CCC DOI 10.3390/electronics10232950 
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Názov súboru Prístup Veľkosť Stiahnuté Typ Licence Mapping discrete emotions in the dimensional space.pdf Prístupný 2.2 MB 0 Vydavateľská verzia rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2021 2020 2.397 Q3 0.360 Q2
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