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Found 5 papers, 2 papers with code
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
Deep Neural Networks (DNNs) are widely used for visual classification tasks, but their complex computation process and black-box nature hinder decision transparency and interpretability.
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
Internet of Things (IoT) sensor data or readings evince variations in timestamp range, sampling frequency, geographical location, unit of measurement, etc.
Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
Center-based clustering has attracted significant research interest from both theory and practice.
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Convolutional neural networks (CNNs) have gained significant popularity in orthopedic imaging in recent years due to their ability to solve fracture classification problems.
CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning
In this paper, we propose a new technique that applies automated image analysis in the area of structural corrosion monitoring and demonstrate improved efficacy compared to existing approaches.
