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Keywords

• adversarial domain adaption
• algorithm vs. domain expert’s prediction performance
• anomaly detection
• artificial intelligence
• Artificial Neural Networks
• associative classification
• attention aggregation
• authorship attribution
• autoencoder
• Benchmarking
• BI-RADS
• birch
• breast density classification
• broad learning system (BLS)
• Centella asiatica
• child speech
• Clustering
• co-occurrence matrix
• code similarity
• comments analysis
• conditional generation
• convolutional networks
• convolutional neural network (CNN)
• COVID-19
• craniocaudal (CC) view
• cross-domain sentiment analysis
• cuckoo search
• Dark Souls III
• DDoS attack
• decision trees
• deep embeddings
• deep learning
• deep Q-network
• Deep Recurrent Q-Network
• deep representations
• dense neural network
• diffusion model
• double-thresholding method
• dragonfly
• elastic net regression
• ensemble deep learning
• ensemble learning
• expansive soil
• explainable artificial intelligence
• explanation generation task
• feature extraction
• federated learning
• Finances
• fuzzy inference system
• Gaussian process regression
• geometric transformation
• global-local dynamic adversarial learning
• greenhouse
• hand gesture recognition
• heterogeneous data
• human-readable explanations
• image augmentation
• image enhancement
• image segmentation
• inception
• interpretable deep learning
• k-nearest neighbour
• large language models
• linn
• linter analysis
• Long Short-Term Memory (LSTM)
• loss function
• M5P
• Machine learning
• mammography
• Medicinal plants
• mediolateral oblique (MLO) view
• melody generation
• meta-learning
• minimum enclosing ball
• mixture models
• MobileNet
• multi-channel regression
• multi-expression programming
• Natural Language Processing
• network data
• neural architectures
• neural networks
• online knowledge distillation
• online learning
• optimal sensor locations
• Parameter estimation
• performance analysis
• pharmaceuticals
• plagiarism detection
• polynomial fuzzy information granule
• pre-classification
• prediction
• predictive prompt
• prompt engineering
• random forests
• rating prediction task
• Recommendation systems
• recurrent neural network (RNN)
• regression and decision trees
• regularization methods
• relative humidity
• remaining useful life (RUL) prediction
• research gap
• residual information
• resistance value
• ResNet
• rider optimization algorithm
• software plagiarism
• speaker disentanglement
• speaker embeddings
• speaker recognition
• speech emotion recognition
• static datasets
• subgrade
• supervised classification
• support vector machine
• support vector machines
• teacher forcing
• temperature
• Tennessee Eastman process
• text features and item wording
• text-based item difficulty prediction
• thema EDItEUR::P Mathematics and Science
• thema EDItEUR::P Mathematics and Science::PB Mathematics
• thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
• time series
• time series prediction
• Traditional medicine
• transformer
• ultrasound image
• universal sentence encoder
• unlabeled data
• unsupervised image segmentation
• urban
• VANET
• Video games
• vision transformers
• visual-based reinforcement learning
• whale optimization algorithm
• X-vectors
• younger school age

Links

DOI: 10.3390/books978-3-7258-1068-0

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