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Artificial Intelligence and Machine Learning Based Methods and Applications

Artificial Intelligence and Machine Learning Based Methods and Applications

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The chapters of this reprint cover a wide range of topics related to the theoretical aspects of artificial intelligence (AI) and machine learning (ML), as well as their practical applications. The theoretical aspects presented in this reprint are related to model compression, interpretable AI, effective augmentation strategies, time series analysis, etc., but most of the works are applicative and multidisciplinary. The applications include but are not limited to, medical image processing, natural language processing, time series analysis, diffusion model-based music generation, autoencoder applications, and adversarial learning, to name a few. By compiling such a diverse set of articles, the reprint aims to serve as a resource for researchers and AI enthusiasts and to offer them insights into the latest advancements and diverse applications of AI and ML. This reprint includes 26 articles accepted and published in the Special Issue “Artificial Intelligence and Machine Learning Based Methods and Applications, 2023” of the MDPI “Mathematics” journal.

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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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