Open‐set recognition of compound jamming signal based on multi‐task multi‐label learning
IET Radar, Sonar & NavigationIn the increasingly intricate electromagnetic environment, the radar receiver may simultaneously encounter multiple intentional or unintentional jamming signals, which results in temporal and spectral overlap of received signals and forms a composite ...
Yihan Xiao +3 more
doaj +1 more source
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
Advanced Engineering Materials, EarlyView.The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
MoRF-FUNCpred: Molecular Recognition Feature Function Prediction Based on Multi-Label Learning and Ensemble Learning. [PDF]
Front Pharmacol, 2022 Li H, Pang Y, Liu B, Yu L.
europepmc +1 more source
Multi-label zero-shot learning with graph convolutional networks
, 2020 Multi-label zero-shot learning with graph convolutional ...
C Domeniconi (13325145) +4 more
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Scientific ReportsRecent advancements in deep learning have revolutionized digital dentistry, highlighting the importance of precise dental segmentation. This study leverages active learning with the three-dimensional (3D) nnU-net and multi-labels to improve segmentation ...
Sungchul On +6 more
doaj +1 more source
A Multi-Label Image Classification Method based on Label Correlation Learning Network
Taiyuan Ligong Daxue xuebao[Purposes] To meet the challenges posed by label feature confusions and limitations in label relationships in multi-label image classification tasks, a novel approach to multi-label image classification based on label correlation learning network (MLLCLN)
WANG Lufang, ZHANG Haiyun
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A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Rapid Antibiotic Resistance Serial Prediction in Staphylococcus aureus Based on Large-Scale MALDI-TOF Data by Applying XGBoost in Multi-Label Learning. [PDF]
Front Microbiol, 2022 Zhang J +6 more
europepmc +1 more source
Graph Convolutional Multi-Label Hashing for Cross-Modal Retrieval
Cross-modal hashing encodes different modalities of multimodal data into low-dimensional Hamming space for fast cross-modal retrieval. In multi-label cross-modal retrieval, multimodal data are often annotated with multiple labels, and some labels, e.g.“,
Liu, Weiwei +5 more
core +1 more source
Multi-label subspace ensemble [PDF]
, 2012 © Copyright 2012 by the authors. A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the available training samples insufficient ...
Zhou, T, Tao, D
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