Results 121 to 130 of about 10,137 (199)

Distribution shifts in trustworthy machine learning

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract This article investigates the impact of distribution shifts in trustworthy machine learning. To this end, we start by summarizing fine‐grained types of distribution shifts commonly studied in machine learning communities. To tackle distribution shifts across domains, we present our research across various learning scenarios by enforcing ...
Jun Wu
wiley   +1 more source

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

Advanced Science, Volume 13, Issue 13, 3 March 2026.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang, Ruifeng Li, Wenwen Yu, Anan Li, Xiangning Li, Mingchao Yan, Lei Xie, Qingrun Zeng, Xueyan Jia, Shuxin Wang, Ronghui Ju, Feng Chen, Qingming Luo, Hui Gong, Andrew Zalesky, Xiaoquan Yang, Yuanjing Feng, Zheng Wang   +17 more
wiley   +1 more source

Identifying critical state of complex diseases by single-sample Kullback-Leibler divergence. [PDF]

BMC Genomics, 2020
Zhong J, Liu R, Chen P.
europepmc   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, Volume 13, Issue 16, 18 March 2026.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source

Patterns and Drivers of Spanish Corporate Commitment to the UN Global Compact: A Quantitative Approach

Corporate Social Responsibility and Environmental Management, Volume 33, Issue 2, Page 1611-1632, March 2026.
ABSTRACT This paper presents a quantitative assessment of Spanish companies' commitment to the United Nations Global Compact (UNGC) and the Sustainable Development Goals (SDGs). Analyzing over 1000 participating firms, we identify prioritization patterns and examine structural factors influencing SDG adherence.
Juan Laborda, Juan Pérez
wiley   +1 more source

Erratum: Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [Med. Phys. 46(1), p. 81-92 (2019)]. [PDF]

Med Phys, 2020
Ha W, Sidky EY, Foygel Barber R, Gilat Schmidt T, Pan X.   +4 more
europepmc   +1 more source

Toward Trustworthy Neuromorphic AI: A Bayesian Framework for Uncertainty‐Aware Spiking Neural Networks

Engineering Reports, Volume 8, Issue 3, March 2026.
This work presents a Bayesian Spiking Neural Network framework that combines variational inference with surrogate gradient learning, enabling accurate classification and well‐calibrated uncertainty estimation. The approach advances trustworthy, energy‐efficient neuromorphic AI for safety‐critical and edge intelligence applications.
Solomon Mamo Banteywalu, Paul Leroux
wiley   +1 more source

Tourism Resource Management and Optimization Based on Internet of Things Edge Computing

Engineering Reports, Volume 8, Issue 3, March 2026.
Tourism is a major driver of economic growth, contributing to local economies while promoting cultural exchange and environmental awareness. Tourism resource management plays a crucial role in optimizing the efficiency and sustainability of tourism destinations.
Yuli Kan
wiley   +1 more source

Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing

Engineering Reports, Volume 8, Issue 3, March 2026.
Implementation of deterministic and probabilistic regression algorithms on an additive manufacturing dataset for prediction of dimensional accuracy—difference from target (DFT), which is the dimensional deviation of a manufactured part from a reference computer‐aided design geometry.
Dipayan Sanpui, Anirban Chandra, Henry Chan, Sukriti Manna, Subramanian K. R. S. Sankaranarayanan   +4 more
wiley   +1 more source

Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley   +1 more source