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Titlebook: Artificial Intelligence Applications and Innovations; 17th IFIP WG 12.5 In Ilias Maglogiannis,John Macintyre,Lazaros Iliadis Conference pro

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樓主: GALL
21#
發(fā)表于 2025-3-25 03:49:48 | 只看該作者
Improved Biomedical Entity Recognition via Longer Context Modelingethora of Biomedical Named Entity Recognition datasets, with a lightweight approach that requires minimal training. Our model is end-to-end and capable of efficiently modeling significantly longer sequences than previous models, benefiting from inter-sentence dependencies.
22#
發(fā)表于 2025-3-25 08:44:32 | 只看該作者
Comparative Study of Embedded Feature Selection Methods on Microarray Datan tree, random forest, lasso, ridge, and SVM-RFE. Ten well-known microarray datasets are tested. Obtained results show the outperformance of SVM-RFE in term of accuracy, and comes in the second position after decision tree in terms of number of selected features and execution time.
23#
發(fā)表于 2025-3-25 13:29:44 | 只看該作者
24#
發(fā)表于 2025-3-25 19:25:18 | 只看該作者
25#
發(fā)表于 2025-3-25 23:00:17 | 只看該作者
26#
發(fā)表于 2025-3-26 02:09:30 | 只看該作者
Conclusion: The Strength of Epistemic Hopes,erturbation detection and mitigation mechanisms can be integrated into a cognitive robotic architecture. We present results from experimental evaluations of perturbation mitigation strategies in a multi-robot system that show how intelligent systems can achieve higher levels of autonomy by explicitly handling perturbations.
27#
發(fā)表于 2025-3-26 06:13:39 | 只看該作者
‘If Only I Would Have Done that…’: A Controlled Adaptive Network Model for Learning by Counterfactuarespect to counterfactual thinking was identified. Based on the literature, an adaptive self-modeling network model was designed. This model captures the complex process of counterfactual thinking and the learning and control involved.
28#
發(fā)表于 2025-3-26 10:14:51 | 只看該作者
29#
發(fā)表于 2025-3-26 15:52:03 | 只看該作者
Evaluating Task-General Resilience Mechanisms in a Multi-robot Team Taskerturbation detection and mitigation mechanisms can be integrated into a cognitive robotic architecture. We present results from experimental evaluations of perturbation mitigation strategies in a multi-robot system that show how intelligent systems can achieve higher levels of autonomy by explicitly handling perturbations.
30#
發(fā)表于 2025-3-26 18:10:59 | 只看該作者
Lai-Chong Law,Ka-Ming Patrick Wongation of its emergent properties and their cross-reference to the available literature. The created model offers the possibility of simulating different treatments, and offers a basis to develop a virtual patient model.
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