Results 31 to 40 of about 822,176 (252)
Disentangled Feature Importance
CoRR29 main and 44 supplementary ...
Jin-Hong Du +2 more
openaire +2 more sources
Feature-importance-aware transmission control in semantic communications
ICT ExpressSemantic communication shifts the focus from bit-level accuracy to task-relevant meaning. However, most methods assume equal importance across semantic units and rely on costly retraining, limiting scalability.
Seonghun Hong +4 more
doaj +1 more source
Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models
Journal of Advances in Modeling Earth Systems, 2023 In a model simulating dynamics of a system, parameters can represent system sensitivities and unresolved processes, therefore affecting model accuracy and uncertainty.
Shanning Bao +5 more
doaj +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
Soil liquefaction assessment using machine learning
Artificial Intelligence in GeosciencesLiquefaction is one of the prominent factors leading to damage to soil and structures. In this study, the relationship between liquefaction potential and soil parameters is determined by applying feature importance methods to Random Forest (RF), Logistic
Gamze Maden Muftuoglu, Kaveh Dehghanian
doaj +1 more source
Network Intrusion Detection: Based on Deep Hierarchical Network and Original Flow Data
IEEE Access, 2019 Network intrusion detection plays a very important role in protecting computer network security. The abnormal traffic detection and analysis by extracting the statistical features of flow is the main analysis method in the field of network intrusion ...
Yong Zhang +4 more
doaj +1 more source
Stability prediction for soil-rock mixture slopes based on a novel ensemble learning model
Frontiers in Earth Science, 2023 Soil-rock mixtures are geological materials with complex physical and mechanical properties. Therefore, the stability prediction of soil-rock mixture slopes using machine learning methods is an important topic in the field of geological engineering. This
Xiaodi Fu +14 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
The importance of features and exponents
Linguistic Approaches to BilingualismAbstract Formal approaches to bi- and multilingual grammars rely on two important claims: (i) the grammatical architecture should be able to deal with mono- and bi-/multilingual data without any specific constraints for the latter, (ii) features play a pivotal role in accounting for patterns across and ...
Terje Lohndal, Michael T. Putnam
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille +9 more
wiley +1 more source