Works matching IS 25044990 AND DT 2022 AND VI 4 AND IP 4
Results: 18
An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1124, doi. 10.3390/make4040057
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Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1107, doi. 10.3390/make4040056
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SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1088, doi. 10.3390/make4040055
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A New Rough Set Classifier for Numerical Data Based on Reflexive and Antisymmetric Relations.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1065, doi. 10.3390/make4040054
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On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1042, doi. 10.3390/make4040053
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A Morphological Post-Processing Approach for Overlapped Segmentation of Bacterial Cell Images.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1024, doi. 10.3390/make4040052
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Prospective Neural Network Model for Seismic Precursory Signal Detection in Geomagnetic Field Records.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 912, doi. 10.3390/make4040046
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Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 994, doi. 10.3390/make4040050
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- Article
FeaSel-Net: A Recursive Feature Selection Callback in Neural Networks.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 968, doi. 10.3390/make4040049
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Lottery Ticket Structured Node Pruning for Tabular Datasets.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 954, doi. 10.3390/make4040048
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Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 924, doi. 10.3390/make4040047
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Evidence-Based Regularization for Neural Networks.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1011, doi. 10.3390/make4040051
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How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 888, doi. 10.3390/make4040045
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Entropic Statistics: Concept, Estimation, and Application in Machine Learning and Knowledge Extraction.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 865, doi. 10.3390/make4040044
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Automatic Extraction of Medication Information from Cylindrically Distorted Pill Bottle Labels.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 852, doi. 10.3390/make4040043
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On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 839, doi. 10.3390/make4040042
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Comparison of Imputation Methods for Missing Rate of Perceived Exertion Data in Rugby.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 827, doi. 10.3390/make4040041
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Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 814, doi. 10.3390/make4040040
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