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Found 5 papers, 1 papers with code
Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer
Medical image segmentation plays a vital role in various clinical applications, enabling accurate delineation and analysis of anatomical structures or pathological regions.
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition
Therefore, It leads to an improvement in the evaluation process and, consequently, in the selection of the appropriate segmentation method.
Multi-Modal Evaluation Approach for Medical Image Segmentation
Manual segmentation of medical images (e. g., segmenting tumors in CT scans) is a high-effort task that can be accelerated with machine learning techniques.
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition
The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data which should be sufficiently labeled.
An Event Calculus Production Rule System for Reasoning in Dynamic and Uncertain Domains
Action languages have emerged as an important field of Knowledge Representation for reasoning about change and causality in dynamic domains.
