1
Table of Contents:
“... -- Interpretable and Reliable Rule Classification based on Conformal Prediction -- Measuring the Burden of (Un)fairness Using Counterfactuals -- Are SHAP values biased towards high-entropy features? -- Simple explanations to summarise Subgroup Discovery outcomes: a case...”
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2
Dong, Jing
2023
Table of Contents:
“... Tongue Image Segmentation based on Deep Adversarial Networks and Entropy Minimization -- Residual Inter-slice Feature Learning for 3D Organ Segmentation -- Color and Multispectral Processing: A Cross-paired Wavelet Based Spatiotemporal Fusion Network...”2023
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3
Krótkiewicz, Marek
2022
Table of Contents:
“...Music Emotion Recognition Based on Term Frequency and Pattern Entropy -- Risk Assessment of Acute Kidney Disease and Chronic Kidney Disease for in-Hospital Patients with Acute Kidney Injury -- A multi-label classification framework using the covering...”2022
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4
Lu, Huimin
2022
Table of Contents:
“... -- Lightweight 3D Point Cloud Classification Network -- Unsupervised Domain Adaptive Image Semantic Segmentation Based on Convolutional Fine-grained Discriminant and Entropy Minimization -- Ensemble of Classification and Matching Models with Alpha-Refine for UAV...”2022
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5
Shi, Yuhui
2022
Table of Contents:
“... -- Non-Local Graph Aggregation for Diversified Stock Recommendation -- Novel Sentiment Analysis from Twitter for Stock Change Prediction -- A Novel Investment Strategy for Mixed Asset Allocation Based on Entropy-based Time Series Prediction -- The Framework...”2022
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6
Fang, Lu
2022
Table of Contents:
“... on Kernel Entropy Component Analysis and Information Gain -- Second-Order Global Attention Networks for Graph Classification and Regression -- Aero-Engine Remaining Useful Life Prediction Via Tensor Decomposition Method -- FIGCI: Flow-Based Information-Geometric...”2022
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7
Lai, Jianhuang
2021
Table of Contents:
“... Generation -- Learning Key Actors and Their Interactions for Group Activity Recognition -- Attributed Non-negative Matrix Multi-Factorization for Data Representation -- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels...”2021
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