Results 21 to 30 of about 244,685 (311)
Modeling Local Demand for Mobile Spectrum: An Interpretable Machine Learning Approach
IEEE Open Journal of the Communications SocietyWith the expansion of 5G networks and the ongoing development of future 6G networks, the demand for mobile spectrum is expected to continue to grow, particularly at a local level.
Janaki Parekh +3 more
doaj +1 more source
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
Knowledge and Information Systems, 2022 Deep neural networks have been well-known for their superb handling of various machine learning and artificial intelligence tasks. However, due to their over-parameterized black-box nature, it is often difficult to understand the prediction results of deep models.
Xuhong Li 0002 +7 more
openaire +4 more sources
Interpretable Chinese Fake News Detection With Chain-of-Thought and In-Context Learning
IEEE AccessThe spread of fake news through on-line platforms poses a significant threat to public trust and social stability, especially in resource-constrained Chinese domains.
Bingyi Liu, Anqi Wang, Chengqian Xia
doaj +1 more source
Understanding Software Defect Prediction Through eXplainable Neural Additive Models
IEEE AccessSoftware defect prediction, leveraging machine learning techniques to proactively identify potential defects in software systems, plays a crucial role in enhancing software quality and reliability.
Ruiqi He, Yong Li, Chi Sun
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Decision Support System Improving the Interpretability of Generated Tree-Based Models
Acta Electrotechnica et Informatica, 2022 A decision tree represents one of the most used data analysis methods for classification tasks. The generated decision models can be visualized as a graph, but this visualization is quite complicated for a domain expert to understand in large or ...
Klimonová Diana +3 more
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Decision making, symmetry and structure: Justifying causal interventions
Journal of Causal InferenceWe can use structural causal models (SCMs) to help us evaluate the consequences of actions given data. SCMs identify actions with structural interventions. A careful decision maker may wonder whether this identification is justified.
Johnston David O. +2 more
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BatteriesHealth assessment is necessary to ensure that lithium-ion batteries operate safely and dependably. Nonetheless, there are the following two common problems with the health assessment models for lithium-ion batteries that are currently in use: inability ...
Zeyang Si, Jinting Shen, Wei He
doaj +1 more source
, 2021 This study undertook a comprehensive application of 15 data mining (DM) models, most of which have, thus far, not been commonly used in environmental sciences, to predict land susceptibility to water erosion hazard in the Kahorestan catchment, southern ...
Mohammadifar, A. +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
On Fairness and Interpretability
, 2020 Ethical AI spans a gamut of considerations. Among these, the most popular ones, fairness and interpretability, have remained largely distinct in technical pursuits.
V, Sanil +2 more
core +2 more sources