Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Abstract: Fiber Bragg Grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...
Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...
Abstract: Emotional expression and interaction are fundamental aspects of daily life. Understanding emotions not only improves communication but also offers significant potential for medical ...
Abstract: Emotion detection is a crucial aspect of human-computer interaction (HCI), sentiment analysis, and affective computing systems. This paper presents a comprehensive comparative study of ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Facial emotion recognition (FER) is a crucial topic of study in computer vision and artificial intelligence. This study explores the application of deep learning models for facial emotion recognition ...
Abstract: Emotion recognition from EEG signals offers significant advantages in affective computing, as EEG more accurately reflects internal emotional states than other modalities, such as facial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback