AIMC Topic: Probability

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Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2024
Class imbalance problem (CIP) in a dataset is a major challenge that significantly affects the performance of Machine Learning (ML) models resulting in biased predictions. Numerous techniques have been proposed to address CIP, including, but not limi...
Support Vector Machine Probability Machine Learning Algorithms
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Cancer detection and classification using a simplified binary state vector machine.

Medical & biological engineering & computing Feb 1, 2024
Cancer is an invasive and malignant growth of cells and is known to be one of the most fatal diseases. Its early detection is essential for decreasing the mortality rate and increasing the probability of survival. This study presents an efficient mac...
Neural Networks, Computer Machine Learning Support Vector Machine Probability Algorithms Neoplasms
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A QUEST for Model Assessment: Identifying Difficult Subgroups via Epistemic Uncertainty Quantification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 11, 2024
Uncertainty quantification in machine learning can provide powerful insight into a model's capabilities and enhance human trust in opaque models. Well-calibrated uncertainty quantification reveals a connection between high uncertainty and an increase...
Benchmarking Neural Networks, Computer Uncertainty Humans Machine Learning Probability
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Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study.

PloS one Jan 5, 2024
BACKGROUND: Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times.
Machine Learning Norway Ambulances Reaction Time Probability Retrospective Studies
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Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study.

Journal of medical Internet research Dec 29, 2023
BACKGROUND: Traditional methods for investigating work hours rely on an employee's physical presence at the worksite. However, accurately identifying break times at the worksite and distinguishing remote work outside the worksite poses challenges in ...
Probability Neural Networks, Computer Machine Learning Algorithms Smartphone Humans
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Darwinian evolution has become dogma; AI can rescue what is salvageable.

Progress in biophysics and molecular biology Dec 23, 2023
Artificial Intelligence (AI), as an academic discipline, is traceable to the mid-1950s but it is currently exploding in applications with successes and concerns. AI can be defined as intelligence demonstrated by computers, with intelligence difficult...
Probability Earth, Planet Artificial Intelligence Intelligence
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Different policies constrained agricultural non-point pollutants emission trading management for water system under interval, fuzzy, and stochastic information.

Environmental research Dec 10, 2023
Formulating suitable policies is essential for resources and environmental management. In this study, an agricultural pollutants emission trading management model driven by water resources and pollutants control is developed to search reasonable poli...
Fuzzy Logic Probability Models, Theoretical Water Resources Water Quality Uncertainty China Agriculture
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A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability.

BMC medical informatics and decision making Nov 28, 2023
BACKGROUND: Intelligent cardiotocography (CTG) classification can assist obstetricians in evaluating fetal health. However, high classification performance is often achieved by complex machine learning (ML)-based models, which causes interpretability...
Pregnancy Probability Humans Female Support Vector Machine Machine Learning Cardiotocography Cluster Analysis
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Implementation and empirical evaluation of a quantum machine learning pipeline for local classification.

PloS one Nov 13, 2023
In the current era, quantum resources are extremely limited, and this makes difficult the usage of quantum machine learning (QML) models. Concerning the supervised tasks, a viable approach is the introduction of a quantum locality technique, which al...
Machine Learning Probability Algorithms
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Calibrating machine learning approaches for probability estimation: A comprehensive comparison.

Statistics in medicine Oct 17, 2023
Statistical prediction models have gained popularity in applied research. One challenge is the transfer of the prediction model to a different population which may be structurally different from the model for which it has been developed. An adaptatio...
Humans Probability Logistic Models Machine Learning Models, Statistical Software
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