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SoftMax Inc multi-layer perceptron
Multi Layer Perceptron, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/multi-layer+perceptrons/multi+layer+perceptron/pmc12056020__41598_2025_915_MOESM1_ESM-123-30-11
Average 90 stars, based on 1 article reviews
multi-layer perceptron - by Bioz Stars, 2026-11
90/100 stars

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Article Title: Disease-Grading Networks with Asymmetric Gaussian Distribution for Medical Imaging
Article Snippet: Deep learning-based disease grading technologies facilitate timely medical intervention due to their high efficiency and accuracy.. Recent advancements have enhanced grading performance by incorporating the ordinal relationships of disease labels.. However, existing methods often assume same probability distributions for disease labels across instances within the same category, overlooking variations in label distributions.

Article Title: Learning entity-oriented representation for biomedical relation extraction.
Article Snippet: Biomedical Relation Extraction (BioRE) aims to automatically extract semantic relations for given entity pairs and is of great significance in biomedical research.. Current popular methods often utilize pretrained language models to extract semantic features from individual input instances, which frequently suffer from overlapping semantics.. Overlapping semantics refers to the situation in which a sentence contains multiple entity pairs that share the same context, leading to highly similar information between these entity pairs.



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Examples of the performance of AI models for cardiovascular disease. This table shows examples of AI models commonly used for cardiovascular disease and their representative performance in the literature.

Journal: Biomedicines

Article Title: The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease

doi: 10.3390/biomedicines13020427

Figure Lengend Snippet: Examples of the performance of AI models for cardiovascular disease. This table shows examples of AI models commonly used for cardiovascular disease and their representative performance in the literature.

Article Snippet: Bhat et al. [ ] , Kaggle , Multi-Layer Perceptron (MLP) , 87.28% accuracy.

Techniques: