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Titlebook: Computational Science – ICCS 2023; 23rd International C Ji?í Miky?ka,Clélia de Mulatier,Peter M.A. Sloot Conference proceedings 2023 The Ed

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41#
發(fā)表于 2025-3-28 18:22:24 | 只看該作者
42#
發(fā)表于 2025-3-28 20:58:44 | 只看該作者
Balancing Agents for Mining Imbalanced Multiclass Datasets – Performance Evaluationnsive computational experiment. The experiment involved multiclass imbalanced datasets from the Keel imbalanced datasets repository. Experiment results allowed to select best performing balancing agents using statistical tools.
43#
發(fā)表于 2025-3-29 00:35:33 | 只看該作者
An Approach for?Probabilistic Modeling and?Reasoning of?Voting Networksell as an experimental point of view. The results confirm the usefulness of the ideas herein presented, and which are flexible enough to be employed in any scenario which can be characterized by the probabilistic agreement of its components.
44#
發(fā)表于 2025-3-29 06:36:48 | 只看該作者
The Role of?Conformity in?Opinion Dynamics Modelling with?Multiple Social Circles different layers depending on the social circle. Afterwards, we extend the model with more components that are known to influence opinions, e.g. authority or openness to new views. These two models are then compared to show that only sole conformism leads to opinion convergence.
45#
發(fā)表于 2025-3-29 08:29:53 | 只看該作者
Machine Learning for?Risk Stratification of?Diabetic Foot Ulcers Using Biomarkers preliminary outcomes of a feasibility study on machine learning techniques for risk stratification of DFU formation. Our findings highlight the importance of considering patient history, and allow us to identify biomarkers which are important for risk classification.
46#
發(fā)表于 2025-3-29 15:05:55 | 只看該作者
47#
發(fā)表于 2025-3-29 15:49:57 | 只看該作者
48#
發(fā)表于 2025-3-29 23:41:17 | 只看該作者
49#
發(fā)表于 2025-3-30 02:16:24 | 只看該作者
50#
發(fā)表于 2025-3-30 07:16:48 | 只看該作者
Decision Tree-Based Algorithms for?Detection of?Damage in?AIS Dataare selected decision tree based algorithms for detecting the damaged AIS messages. A general concept of detection of the damaged AIS data is presented. Then, the assumption and results of the computational experiment are reported, together with final conclusions.
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