AIMC Topic: Probability

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Probability graph complementation contrastive learning.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
Graph Neural Network (GNN) has achieved remarkable progress in the field of graph representation learning. The most prominent characteristic, propagating features along the edges, degrades its performance in most heterophilic graphs. Certain research...
Humans Neural Networks, Computer Algorithms Machine Learning Probability
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Robust stability of Boolean networks with data loss and disturbance inputs.

Neural networks : the official journal of the International Neural Network Society Jul 2, 2024
This study discusses the robust stability problem of Boolean networks (BNs) with data loss and disturbances, where data loss is appropriately described by random Bernoulli distribution sequences. Firstly, a BN with data loss and disturbances is conve...
Neural Networks, Computer Algorithms Probability
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Probability density and information entropy of machine learning derived intracranial pressure predictions.

PloS one Jul 1, 2024
Even with the powerful statistical parameters derived from the Extreme Gradient Boost (XGB) algorithm, it would be advantageous to define the predicted accuracy to the level of a specific case, particularly when the model output is used to guide clin...
Adult Algorithms Male Middle Aged Female Intracranial Pressure Humans Probability Machine Learning
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Advancing neural network calibration: The role of gradient decay in large-margin Softmax optimization.

Neural networks : the official journal of the International Neural Network Society Jun 11, 2024
This study introduces a novel hyperparameter in the Softmax function to regulate the rate of gradient decay, which is dependent on sample probability. Our theoretical and empirical analyses reveal that both model generalization and calibration are si...
Neural Networks, Computer Machine Learning Humans Calibration Algorithms Probability
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Applying an explainable machine learning model might reduce the number of negative appendectomies in pediatric patients with a high probability of acute appendicitis.

Scientific reports Jun 4, 2024
The diagnosis of acute appendicitis and concurrent surgery referral is primarily based on clinical presentation, laboratory and radiological imaging. However, utilizing such an approach results in as much as 10-15% of negative appendectomies. Hence, ...
Humans Machine Learning Adolescent Child, Preschool Acute Disease Appendicitis Child Sensitivity and Specificity Male Probability Algorithms Appendectomy Female
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Evaluation of an automated clinical decision system with deep learning dose prediction and NTCP model for prostate cancer proton therapy.

Physics in medicine and biology May 30, 2024
To evaluate the feasibility of using a deep learning dose prediction approach to identify patients who could benefit most from proton therapy based on the normal tissue complication probability (NTCP) model.Two 3D UNets were established to predict ph...
Uncertainty Probability Automation Radiotherapy Dosage Proton Therapy Radiation Dosage Organs at Risk Radiotherapy Planning, Computer-Assisted Decision Support Systems, Clinical Prostatic Neoplasms Male Humans Deep Learning
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A novel MCGDM technique based on correlation coefficients under probabilistic hesitant fuzzy environment and its application in clinical comprehensive evaluation of orphan drugs.

PloS one May 6, 2024
Probabilistic hesitant fuzzy sets (PHFSs) are superior to hesitant fuzzy sets (HFSs) in avoiding the problem of preference information loss among decision makers (DMs). Owing to this benefit, PHFSs have been extensively investigated. In probabilistic...
Fuzzy Logic Decision Making Humans Algorithms Probability Orphan Drug Production
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A probabilistic knowledge graph for target identification.

PLoS computational biology Apr 5, 2024
Early identification of safe and efficacious disease targets is crucial to alleviating the tremendous cost of drug discovery projects. However, existing experimental methods for identifying new targets are generally labor-intensive and failure-prone....
Humans Neural Networks, Computer Computational Biology Melanoma Probability Colorectal Neoplasms Drug Discovery Machine Learning Algorithms
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Data reduction for SVM training using density-based border identification.

PloS one Apr 3, 2024
Numerous classification and regression problems have extensively used Support Vector Machines (SVMs). However, the SVM approach is less practical for large datasets because of its processing cost. This is primarily due to the requirement of optimizin...
Probability Algorithms Support Vector Machine Cluster Analysis
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[ChatGPT is an above-average student at the Faculty of Medicine of the University of Zaragoza and an excellent collaborator in the development of teaching materials].

Revista espanola de patologia : publicacion oficial de la Sociedad Espanola de Anatomia Patologica y de la Sociedad Espanola de Citologia Mar 16, 2024
INTRODUCTION AND OBJECTIVE: Artificial intelligence is fully present in our lives. In education, the possibilities of its use are endless, both for students and teachers.
Probability Teaching Materials Faculty Artificial Intelligence Students Humans
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