Results 41 to 50 of about 426 (122)

Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector

open access: yes, 2022
To interpret deep learning models, one mainstream is to explore the learned concepts by networks. Testing with Concept Activation Vector (TCAV) presents a powerful tool to quantify the contribution of query concepts (represented by user-defined guidance ...
Wang, Andong, Lee, Wei-Ning
core  

Representativity of CO2 Exchange on Extensive Green Roofs: Scaling From Leaf to Plant, and Plant to Roof Scale

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 8, August 2026.
Abstract Urban green roofs have potential for local urban climate change mitigation, as they have been demonstrated to uptake carbon dioxide (CO2) from the atmosphere. However, most roofs are too small to qualify for area‐integrating direct surface‐atmosphere exchange measurements using the eddy covariance technique (EC), resulting in sparse data on ...
J. Gelhaus, N. Markolf, S. Weber
wiley   +1 more source

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew   +3 more
wiley   +1 more source

Concept-Based Explanations for Tabular Data

open access: yes, 2022
The interpretability of machine learning models has been an essential area of research for the safe deployment of machine learning systems. One particular approach is to attribute model decisions to high-level concepts that humans can understand. However,
Pendyala, Varsha, Choi, Jihye
core  

Investigating Dynamic Characteristics of Cavitation in Insulating Oil Microgaps Under Vibration: Theoretical Analysis and Experimental Observation

open access: yesHigh Voltage, Volume 11, Issue 3, Page 771-783, June 2026.
ABSTRACT The internal pressure fluctuations caused by vibration in oil‐immersed electrical equipment can initiate bubbles within narrow oil gaps, reducing the electrical strength of equipment and giving rise to the problem of abnormal gas production in oil‐immersed equipment.
Jiajun Yang, Tao Zhao, Yunpeng Liu
wiley   +1 more source

Self‐Hybridized Exciton‐Polariton Photodetectors From Layered Metal‐Organic Chalcogenolates

open access: yesAdvanced Functional Materials, Volume 36, Issue 34, 27 April 2026.
Self‐hybridized exciton‐polariton photodetectors are demonstrated using high refractive index mithrene, eliminating the need for top mirrors. This simplified architecture enables tunable sub‐bandgap photodetection via lower exciton‐polariton states and enhanced carrier transport through ultrafast polariton group velocities.
Bongjun Choi   +3 more
wiley   +1 more source

Predictores de implante tardío de marcapasos tras TAVI

open access: yesREC: Interventional Cardiology
Sr. Editor: El implante percutáneo de válvula aórtica (TAVI) se ha consagrado como una alternativa segura y mínimamente invasiva frente a la sustitución valvular quirúrgica, y su indicación se ha expandido
Rebeca Muñoz-Rodríguez   +4 more
doaj   +1 more source

Sustainable recovery of a chitin–glucan complex–protein biocomposite from yeast biomass using biocompatible ionic liquids

open access: yesBiofuels, Bioproducts and Biorefining, Volume 20, Issue 2, Page 691-702, March/April 2026.
Abstract Chitin–glucan complex (CGC) is typically extracted from fungal or yeast biomass using harsh alkaline treatments that not only generate high‐salt, organic‐rich effluents, but also negatively impact the structural and functional properties of the recovered copolymer, while wasting the yeast protein fraction, which is discarded.
Inês C. Ferreira   +4 more
wiley   +1 more source

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

Evaluation of Temporal Diagnostic Techniques for Two-Bunch Facet Beam [PDF]

open access: yes, 2011
Three temporal diagnostic techniques are considered for use in the FACET facility at SLAC, which will incorporate a unique two-bunch beam for plasma wakefield acceleration experiments.
Bionta, M. R.   +7 more
core  

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