Results 101 to 110 of about 33,205 (174)

Hybrid Wasserstein Distance: An Approximation for Optimal Transport Distances

Computation
Projection-based variants of optimal transport, such as the Sliced Wasserstein (SW) and its extensions, have become popular alternatives to classical Wasserstein distances due to their scalability and analytical tractability.
Sara Nassar, Rachid Hedjam, Samir Brahim Belhaouari   +2 more
doaj   +1 more source

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

Plant Biotechnology Journal, Volume 24, Issue 6, Page 4005-4026, June 2026.
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma, Xiang Li, Xiaohao Ji, Chunying Wang, Di Zhang, Tingting Zhai, Haibo Wang, Ping Liu   +7 more
wiley   +1 more source

Spatial depth for data in metric spaces

Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 684-711, June 2026.
Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley   +1 more source

Wasserstein–Markov Random Forest (WMRF): A Machine Learning-Based Model for Accurate Protein Subcellular Localization

IEEE Access
Motivation: Accurate prediction of protein subcellular localization (PSL) from sequence is central to cell biology and proteome-scale annotation. However, current approaches face a persistent trade-off: deep learning models often deliver strong accuracy ...
Jiayang Xu, Yangzhou Chen, Xin Chen
doaj   +1 more source

Characterizing Multi‐Source DNAPL Source Zone Architecture in Channelized Aquifers Using a Geophysics‐Informed Hybrid Deep Learning Framework

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Accurate characterization of dense nonaqueous phase liquid (DNAPL) source zone architecture (SZA) is essential for contaminated site remediation. However, highly channelized aquifer heterogeneity and multi‐source contamination pose significant challenges.
Yanhao Wu, Haijian Xie, Manting Ci, Yanghui Shi, Mengcheng Zhang   +4 more
wiley   +1 more source

Efficient Deconvolution in Populational Inverse Problems

International Journal for Numerical Methods in Engineering, Volume 127, Issue 9, 15 May 2026.
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur, Mark Girolami, Andrew M. Stuart   +2 more
wiley   +1 more source

Optimal Estimation of Wasserstein Distance on A Tree with An Application to Microbiome Studies. [PDF]

J Am Stat Assoc, 2021
Wang S, Cai TT, Li H.
europepmc   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, Volume 13, Issue 29, 22 May 2026.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Predicting Direction of High‐Speed Wind: A Bayesian Approach to Conditional Cylindrical Distributions

Environmetrics, Volume 37, Issue 4, May 2026.
ABSTRACT High‐speed winds pose several dangers to both the built environment and the natural environment, affecting human lives and livelihoods, as well as endangering wildlife. On the other hand, high‐speed winds can be beneficially harnessed through the optimal orientation of turbines to maximize wind energy production.
Najmeh Nakhaei Rad, Sonali Das, Christophe Ley   +2 more
wiley   +1 more source

Urinary Extracellular Vesicles for High‐Precision Bladder Cancer Subtyping and Prognosis

Journal of Extracellular Biology, Volume 5, Issue 5, May 2026.
ABSTRACT Bladder cancer (BCa) exhibits molecular heterogeneity that complicates early diagnosis and prognosis, and drives confounding clinical outcomes. Non‐muscle invasive and muscle‐invasive subtypes, especially for intermediate to high grade, carry a 25%–50% progression‐free survival rate, underscoring the need for high‐precision prognostic strategy.
Zachary F. Greenberg, Tarun Hutchinson, Jonathan Kahn, Kiley S. Graim, Padraic O'Malley, Mei He   +5 more
wiley   +1 more source