152 天前 - … deep learning approaches, eg, Convolutional Neural … an ensemble learning-based
detection of multi-modal fake … Fakeddit, a novel multi-modal dataset consisting of over 1 …

172 天前 - The integration of artificial intelligence and robotic technologies has become a
topic of increasing interest for both researchers and developers from academic fields and …

192 天前 - … deep neural networks to trap the overlapping sentiment categories of the text data.
The system used multiple Deep networks … used an ensemble of 3 deep networks like Bi-Gate …

208 天前 - … the large number of parameters in very deep neural networks and the limited amount
of … then apply the dlib module for face detection and face cropping from the whole frames. …

233 天前 - … and gradient disappearance of deep convolutional neural networks due to increasing
… a multimodal emotion recognition method based on double deep networks and ensemble …

248 天前 - This volume LNCS 14252 constitutes the refereed proceedings of 25th International
Conference on Information and Communications Security, ICICS 2023, held in Tianjin, …

249 天前 - … Multimodal emotion recognition (MER) is essential for the machine to fully understand
human intentions. Various deep neural network-based models … Then we adopt ensemble …

254 天前 - … for sentiment analysis and emotion recognition. They have discussed the challenges
in multimodal emotion recognition like the complicated nature of human emotions and …

274 天前 - … In forgery detection, the model first performs face recognition … and 2D convolutional
neural networks to train the base … for the ensemble model, and it is proved in Table 3 that the …

274 天前 - Today, communication technology and computer engineering are intertwined, with
advances in one field driving advances in the other, leading to the development of …