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Knowledge-Based Explainable Ai on Small Data

https://doi.org/10.2139/ssrn.4683748
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
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Development and evaluation of bidirectional LSTM freeway traffic forecasting models using simulation data
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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
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Differential Gene Set Enrichment Analysis: a statistical approach to quantify the relative enrichment of two gene sets
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Multilayer Long Short-Term Memory (LSTM) Neural Networks in Time Series Analysis
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Reinforcement Learning with Dual Attention Guided Graph Convolution for Relation Extraction
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A Review of Deep Learning with Recurrent Neural Network
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Sets of Marginals and Pearson-Correlation-based CHSH Inequalities for a Two-Qubit System
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A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering
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Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization
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Graph Convolutional Networks for Hyperspectral Image Classification
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Cosine Similarity Based Line Protection for Large-Scale Wind Farms
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Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis
inferredcites →https://doi.org/10.1109/tim.2020.3016068openalex-extracted
Deep Domain Generalization Combining A Priori Diagnosis Knowledge Toward Cross-Domain Fault Diagnosis of Rolling Bearing
inferredcites →https://doi.org/10.1109/tim.2021.3091498openalex-extracted
HS-KDNet: A Lightweight Network Based on Hierarchical-Split Block and Knowledge Distillation for Fault Diagnosis With Extremely Imbalanced Data
inferredcites →https://doi.org/10.1109/tim.2021.3107056openalex-extracted
Alzheimer’s Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes
inferredcites →https://doi.org/10.1109/tim.2021.3127654openalex-extracted
Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis
inferredcites →https://doi.org/10.1109/tip.2021.3131941openalex-extracted
Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance
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Collective Keyword Query on a Spatial Knowledge Base
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An Embedding-Based Approach to Rule Learning in Knowledge Graphs
inferredcites →https://doi.org/10.1109/tkde.2020.3036212openalex-extracted
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs
inferredcites →https://doi.org/10.1109/tnnls.2020.2966746openalex-extracted
Transferable Linear Discriminant Analysis
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A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
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Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning
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Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation
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Belief rule-base inference methodology using the evidential reasoning Approach-RIMER
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Uncertainty-Aware Principal Component Analysis
inferredcites →https://doi.org/10.1136/bmj.m2632openalex-extracted
Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist
inferredcites →https://doi.org/10.1145/3307339.3342189openalex-extracted
Model-Agnostic Interpretation of Cancer Classification with Multi-Platform Genomic Data
inferredcites →https://doi.org/10.1371/journal.pcbi.1006899openalex-extracted
Gene set meta-analysis with Quantitative Set Analysis for Gene Expression (QuSAGE)
inferredcites →https://doi.org/10.22489/cinc.2020.072openalex-extracted
Explainable Deep Neural Network for Identifying Cardiac Abnormalities Using Class Activation Map
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-extracted
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
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A Unified Approach to Interpreting Model Predictions
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GNNExplainer: Generating Explanations for Graph Neural Networks
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