Mukeem Khan

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Research papers reviewed

The 24 papers reviewed for my M.Sc. minor project, "Multimodal Emotion Recognition and Reasoning: A Comprehensive Study", in the same order as its bibliography. Each link opens the paper on the publisher's website. Some publishers may ask for a subscription.

  1. A multimodal reconstruction network via dynamic gradient modulation for emotion recognition

    A. Li, Z. Wang, and Y. Liu

    Alexandria Engineering Journal, vol. 135, pp. 160–167, 2026.

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  2. A dynamic multimodal causal graph framework for standardized emotion recognition in conversations

    R. Pan, J. A. García-Díaz, and R. Valencia-García

    Computer Standards & Interfaces, vol. 97, p. 104130, 2026.

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  3. Speech emotion recognition using multimodal LLMs and quality-controlled TTS-based data augmentation for iberian languages

    J. Bellver-Soler, A. Guragain, S. Ramos-Varela, R. Córdoba, and L. F. D’Haro

    Computer Speech & Language, vol. 99, p. 101927, 2026.

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  4. Multimodal fusion in speech emotion recognition: A comprehensive review of methods and technologies

    N. M. Nguyen, T. T. Nguyen, P.-N. Tran, C. P. Lim, N. T. Pham, and D. N. M. Dang

    Engineering Applications of Artificial Intelligence, vol. 163, p. 112624, 2026.

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  5. Comprehensive survey on multimodal emotion detection with advances, challenges, and future directions in pairwise conversations

    S. Chittepu, S. Martha, and D. Banik

    Cognitive Processing, 2026.

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  6. State-of-the-art multimodal emotion recognition: A comprehensive survey and taxonomy

    A. Yazici, T. Kucukyilmaz, T. Dokeroglu, A. Sharipbay, M.-H. Lee, and B. Tyler

    Intelligent Systems with Applications, vol. 30, p. 200642, 2026.

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  7. Multimodal data integration for early autism detection and LLM-driven personalized intervention: A review

    O. Adouni, A. Bessadok, M. Hamroun, R. Ejbali, and H. Sakli

    Computerized Medical Imaging and Graphics, vol. 130, p. 102743, 2026.

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  8. Culture-aware multimodal personality prediction using audio, pose, and cultural embeddings

    I. J. Samiul, K. Zaman, M. Funk, M. Unoki, Y. Nakano, and S. Okada

    in Companion Proceedings of the 27th International Conference on Multimodal Interaction (ICMI Companion ’25), Association for Computing Machinery, 2025. 21

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  9. Multimodal emotion recognition based on a fusion of audiovisual information with temporal dynamics

    J. Salas-Cáceres, J. Lorenzo-Navarro, D. Freire-Obregón, and M. Castrillón-Santana

    Multimedia Tools and Applications, vol. 84, pp. 27327–27343, 2025.

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  10. RMER-DT: Robust multimodal emotion recognition in conversational contexts based on diffusion and transformers

    X. Zhu, Y. Wang, E. Cambria, I. Rida, J. S. López, L. Cui, and R. Wang

    Information Fusion, vol. 123, p. 103268, 2025.

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  11. Interpretable multimodal emotion recognition using optimized transformer model with SHAP-based transparency

    A. A. Alyoubi and B. A. Alyoubi

    The Journal of Supercomputing, vol. 81, p. 1044, 2025.

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  12. Explainable cross-domain emotion recognition using non-linear optimization and multimodal feature fusion based deep learning model

    R. Baazeem

    International Journal of Information Technology, 2025.

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  13. An explainable fast deep neural network for emotion recognition

    F. Di Luzio, A. Rosato, and M. Panella

    Biomedical Signal Processing and Control, vol. 100, p. 107177, 2025.

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  14. Advancing emotion recognition with virtual reality: A multimodal approach using physiological signals and machine learning

    E. M. Polo, F. Iacomi, A. V. R. Rey, D. Ferraris, A. Paglialonga, and R. Barbieri

    Computers in Biology and Medicine, vol. 193, p. 110310, 2025.

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  15. Multimodal trait and emotion recognition via agentic AI: An end-to-end pipeline

    O. Dabral, S. Bansal, M. Maheshwari, H. Sharma, J. Singh, and B. Kumar

    in Proceedings of the 1st International Workshop on Cognition-oriented Multimodal Affective and Empathetic Computing (CogMAEC ’25), Association for Computing Machinery, 2025.

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  16. Multi-model emotion recognition from speech using StarGAN, DCNN, and SVM

    N. S. Banihosseini and V. Ghods

    Multimedia Tools and Applications, vol. 84, pp. 34267–34284, 2025.

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  17. Multimodal large language models meet multimodal emotion recognition and reasoning: A survey

    Y. Shou, T. w. Meng, W. Ai, and K. Li

    arXiv preprint arXiv:2509.24322, 2025.

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  18. Token-disentangling mutual transformer for multimodal emotion recognition

    G. Yin, Y. Liu, T. Liu, H. Zhang, F. Fang, C. Tang, and L. Jiang

    Engineering Applications of Artificial Intelligence, vol. 133, p. 108348, 2024.

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  19. Multimodal emotion recognition via convolutional neural networks: Comparison of different strategies on two multimodal datasets

    U. Bilotti, C. Bisogni, M. De Marsico, and S. Tramonte

    Engineering Applications of Artificial Intelligence, vol. 130, p. 107708, 2024.

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  20. Using transformers for multimodal emotion recognition: Taxonomies and state of the art review

    S. Hazmoune and F. Bougamouza

    Engineering Applications of Artificial Intelligence, vol. 133, p. 108339, 2024.

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  21. Deep CNN with late fusion for real time multimodal emotion recognition

    C. Dixit and S. M. Satapathy

    Expert Systems with Applications, vol. 240, p. 122579, 2024.

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  22. Multilayer neural network based speech emotion recognition for smart assistance

    S. Kumar, M. A. Haq, A. Jain, C. A. Jason, N. R. Moparthi, N. Mittal, and Z. S. Alzamil

    Computers, Materials & Continua, vol. 74, pp. 1523–1540, 2023.

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  23. Speech emotion recognition using machine learning a systematic review

    S. Madanian, T. Chen, O. Adeleye, J. M. Templeton, C. Poellabauer, D. Parry, and S. L. Schneider

    Intelligent Systems with Applications, vol. 20, p. 200266, 2023.

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  24. Evaluating significant features in context-aware multimodal emotion recognition with XAI methods

    A. Khalane, R. Makwana, T. Shaikh, and A. Ullah

    Expert Systems, 2023.

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