Results 71 to 80 of about 247,960 (211)

mappl-pldi24-ae/mappl-pldi24-ae: v0.1-gamma

<p>[PLDI'24 Artifact] Variable Elimination for an Expressive Probabilistic Programming Language</p> <h2>What's Changed</h2> <ul> <li>Newexamples by @mappl-pldi24-ae in https://github.com/mappl-pldi24-ae/mappl-pldi24-ae/
mappl-pldi24-ae
core   +1 more source

A Deep Nonlinear Subspace Modeling and Reconstruction for Diffusion‐Weighted Imaging Using Denoising Auto‐Encoder

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2359-2369, November 2026.
ABSTRACT Purpose To present a novel, nonlinear subspace modeling and joint k–q‐space reconstruction technique for high‐resolution, multi‐band, multi‐shell diffusion‐weighted imaging (DWI). Methods High b‐value (> 1000 s/mm2), high resolution DWI has the drawback of generally low signal‐to‐noise ratios (SNRs).
Julius Glaser, Zhengguo Tan, Annika Hofmann, Frederik Bernd Laun, Florian Knoll   +4 more
wiley   +1 more source

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising

IEEE Transactions on Geoscience and Remote Sensing
Spectral unmixing has been extensively studied with a variety of methods and used in many applications. Recently, data-driven techniques with deep learning methods have obtained great attention to spectral unmixing for its superior learning ability to automatically learn the structure information.
Min Zhao 0014, Jie Chen 0022, Nicolas Dobigeon   +2 more
openaire   +4 more sources

Artificial Intelligence–Driven Graph Methods for Microbiome Research: A Systematic Review

WIREs Mechanisms of Disease, Volume 18, Issue 6, November/December 2026.
Multi‐omics and microbiome‐derived datasets were converted into deterministic and probabilistic network representations for downstream classical graph analysis and graph representation learning. This framework enables link prediction, relationship discovery, and node clustering to improve interpretation of complex biological interactions.
Cedrique Shum‐Tim, Paromita Islam, Jacqueline L. Boyajian, Ahmed Abosalha, Amal Kassab, Madison Santos, Kinaan Aamir Khan, Kiri Stern, Amin Emad, Satya Prakash   +9 more
wiley   +1 more source

WOT-AE: Weighted Optimal Transport Autoencoder for Patterned Fabric Defect Detection

Symmetry
Patterned fabrics are characterized by strong periodic and symmetric structures, and defect detection in such materials is essentially the task of identifying local disruptions of global texture symmetry. Conventional low-rank decomposition methods separate defect-free regions as low-rank and defects as sparse components, yet singular value ...
Hui Yang, Linyan Kang, Tianjin Yang
openaire   +1 more source

Explaining anomalies through semi-supervised Autoencoders

Array
This work tackles the problem of designing explainable by design anomaly detectors, which provide intelligible explanations to abnormal behaviors in input data observations.
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Simona Nisticò   +3 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Code and results for "AE-MoSE: an AutoEncoder Mixture of Spatial Experts for Geodemographic Classification"

This work introduces a novel approach to geodemographic classification that combines an AutoEncoder architecture with a Mixture of Experts framework, incorporating a Graph Neural Network into the gating component to create a Mixture of Spatial Experts ...
Stef De Sabbata (7358834)
core   +1 more source

Column-Wise Autoencoder Representation Learning for Intrusion Detection in Multi-MEC Edge Networks

Applied Sciences
Mobile Edge Computing (MEC) is a key enabler of 5G/6G services, but multi-base-station deployment enlarges the attack surface and motivates edge-native intrusion detection systems (IDSs).
Min-Gyu Kim, Jonghyun Kim
doaj   +1 more source

Ultralow‐Power Floating‐Gate InGaZnO Content‐Addressable Memory for Wearable Electrocardiogram Anomaly Detection

Advanced Intelligent Systems, Volume 8, Issue 10, October 2026.
This study introduces a subthreshold in‐memory anomaly detection architecture for wearable ECG monitoring using floating‐gate IGZO content‐addressable memories on a flexible substrate. Area‐engineered coupling provides a high subthreshold slope, while subthreshold operation realizes intrinsic exponential distance evaluation and linear voltage sensing ...
Hyung‐Jun Noh, Sunyeol Bae, Yumin Yun, Junhyeong Park, Soo‐Yeon Lee   +4 more
wiley   +1 more source