Results 41 to 50 of about 24,671,802 (285)
, 2022 Effectively utilizing incomplete multi-modality data for the diagnosis of Alzheimer's disease (AD) and its prodrome (i.e., mild cognitive impairment, MCI) remains an active area of research.
M Liu (13306431) +3 more
core +1 more source
Dynamic graph-guided imputation network for partial multi-view incomplete multi-label classification
Journal of King Saud University: Computer and Information SciencesIn practice, multi-view multi-label classification often faces the dual challenge of missing views and labels. Existing methods typically avoid redundant computations by simply masking missing items, which neither recovers missing view information nor ...
Xingang Mao, Yang Xu
doaj +1 more source
Incomplete Multi-View Clustering Based on Dynamic Dimensionality Reduction Weighted Graph Learning
IEEE AccessAiming at the existing incomplete multi-view clustering methods that usually ignore the noise and redundancy of the original data, hide the valuable information in the missing views, and the different importance of each view, this paper proposes the ...
Yaosong Yu, Dongpu Sun
doaj +1 more source
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
Incomplete multi-view partial multi-label classification via deep semantic structure preservation
Complex & Intelligent SystemsRecent advances in multi-view multi-label learning are often hampered by the prevalent challenges of incomplete views and missing labels, common in real-world data due to uncertainties in data collection and manual annotation.
Chaoran Li +4 more
doaj +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
Multi-class boosting for the analysis of multiple incomplete views on microbiome data
BMC BioinformaticsBackground Microbiome dysbiosis has recently been associated with different diseases and disorders. In this context, machine learning (ML) approaches can be useful either to identify new patterns or learn predictive models.
Andrea Simeon +5 more
doaj +1 more source
A Review of Integrative Imputation for Multi-Omics Datasets
Frontiers in Genetics, 2020 Multi-omics studies, which explore the interactions between multiple types of biological factors, have significant advantages over single-omics analysis for their ability to provide a more holistic view of biological processes, uncover the causal and ...
Meng Song +8 more
doaj +1 more source
Deep Incomplete Multi-View Learning Network with Insufficient Label Information
Due to the efficiency of integrating semantic consensus and complementary information across different views, multi-view classification methods have attracted much attention in recent years.
Jiang, Zhangqi +2 more
core +1 more source