The proceedings contain 94 papers. The topics discussed include: answering an Amharic language semantic question over interlinked data; query management for a decentralized enterprise knowledge graph; towards interpretable probabilistic classification models for knowledge graphs; a corpus of encoded malware byte information as images for efficient classification; digital health data, a way to take under control the quality during the elaboration processes; machine learning for physical layer security: limitations, challenges and recommendation; implementing passive authentication with enhanced risk-based security; a shared pose regression network for pose estimation of objects from RGB images; few-shot object detection in unseen domains; improving gesture recognition with object tracking and image stabilization to communicate with industrial cobots; neural network based landing assist using remote sensing data; hierarchical DNN-based image segmentation algorithm using texton, superpixels, and layer-adaptive loss functions; and an investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms.
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
GALLO L;
2022-01-01
Abstract
The proceedings contain 94 papers. The topics discussed include: answering an Amharic language semantic question over interlinked data; query management for a decentralized enterprise knowledge graph; towards interpretable probabilistic classification models for knowledge graphs; a corpus of encoded malware byte information as images for efficient classification; digital health data, a way to take under control the quality during the elaboration processes; machine learning for physical layer security: limitations, challenges and recommendation; implementing passive authentication with enhanced risk-based security; a shared pose regression network for pose estimation of objects from RGB images; few-shot object detection in unseen domains; improving gesture recognition with object tracking and image stabilization to communicate with industrial cobots; neural network based landing assist using remote sensing data; hierarchical DNN-based image segmentation algorithm using texton, superpixels, and layer-adaptive loss functions; and an investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
