Author

Stefanos Gkikas

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Preprint Aug 2026

A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognition

Mixed emotions represent a clinically relevant but still underexplored target for automatic emotion recognition. EEG provides millisecond-level access to neural activity, yet most EEG pipelines analyze the signal through a single temporal window, thereby fixing the temporal structure available to the model. This study...

Stefanos Gkikas, Yanglu Guo, Guangliang Li et al. · 2 citations

Jul 2026

A Unified Tokenization Framework for Pain Recognition using Heterogeneous 3D Modalities

Pain is a complex and pervasive phenomenon affecting a large percentage of the population, and accurate assessment is essential for effective clinical management and intervention. Computational pain recognition systems enable continuous monitoring, support clinical decision-making, and help mitigate pain-related distre...

Stefanos Gkikas, Christian Arzate Cruz, V. Becchetti et al. · arXiv.org · 6 citations

Preprint Aug 2026

MUPA$^{2}$E: Multimodal Unified Perception with Asymmetric Attention for Emotion Assessment

Automatic emotion assessment can benefit from combining neural and behavioral signals, but many multimodal approaches rely on separate, modality-specific feature-extraction pipelines before fusion. This paper presents MUPA\textsuperscript{2}E, a unified perception framework that processes facial video and electroenceph...

Stefanos Gkikas, Eric Nichols, Christian Arzate Cruz et al. · 0 citations