Results 61 to 70 of about 9,285,371 (201)

Evaluating Large‐Language Models in Bioinformatics Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
This work systematically evaluates advanced large language models across six representative bioinformatics tasks, from drug–drug interaction prediction and molecular optimization to single‐cell annotation and computational biology problem solving. The benchmark quantifies both their promise and limitations, offering practical guidance for prompt design,
Hengchuang Yin, Ziwen Cui, Dongxu Li, Yue Yang, Ying Chang, Xiaobo Zhu, Jun Zhang, Pengwei Hu, Xi Zhou, Lun Hu   +9 more
wiley   +1 more source

WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition(NER) for Wet Lab Protocols [PDF]

Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020
The paper describes how classifier model built using Conditional Random Field detects named entities in wet lab protocols.
openaire   +2 more sources

Nationwide Tracking of A‐Lineage Spread in Western Honey Bees Using Haplotype Sharing, Local Ancestry Mapping, and Migration Inference

Ecology and Evolution, Volume 16, Issue 11, November 2026.
This study investigates the spatial spread and genetic impact of A‐lineage (Africanized) ancestry in U.S. honey bee populations using a large, community‐science genomic dataset. By applying RFMix and TreeMix, we reveal strong northward gene flow originating from southern states such as Texas, Arizona, and Florida into northern regions, with high ...
Mulusew Fikere, Dylan K. Ryals, Andrew H. Paterson, Brock A. Harpur   +3 more
wiley   +1 more source

Joint Posterior Probability Active Learning for Hyperspectral Image Classification

Remote Sensing, 2023
Active learning (AL) is an approach that can reduce the dependence on the labeled set significantly. However, most current active-learning methods are only concerned with the first two columns of the posterior probability matrix during the sampling phase.
Shuying Li, Shaowei Wang, Qiang Li
doaj   +1 more source

Model‐based image restoration targeting higher‐dose digital mammography: Impact on radiologists' detection of clustered microcalcifications

Medical Physics, Volume 53, Issue 11, November 2026.
Abstract Background Image noise in digital mammography (DM) can obscure image details and reduce the detectability of clinically relevant findings such as microcalcifications. Purpose To present and evaluate an extended model‐based (MB) image restoration pipeline for DM that incorporates quantum, electronic, and structural noise components, as well as ...
Renann F. Brandão, Lucas R. Borges, Silvia M. P. S. Sabino, Renato F. Caron, Alessandro Foi, Predrag R. Bakic, Anders Tingberg, Marcelo A. C. Vieira   +7 more
wiley   +1 more source

CONTEXTUAL CLASSIFICATION OF POINT CLOUDS USING A TWO-STAGE CRF [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF).
J. Niemeyer, F. Rottensteiner, U. Soergel, C. Heipke   +3 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

Advanced Science, Volume 13, Issue 55, 5 October 2026.
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo, Wei Wu, Huan Peng, Dan He, Yuxi Guo, Boyue Zhao, Xiaodan Wang, Li Ma, Yuhang Qin, Yifang Zhai, Lixia Zhuo, Ying Zhang, Yijie Guo, Linlin Jing, Fangyao Chen, Erfei Zhang, Wei Wang, Xiancang Ma, Yan Li   +18 more
wiley   +1 more source

Activity recognition using conditional random field

, 2015
Activity Recognition is an integral component of ubiquitous computing. Recognizing an activity is a challenging task since activities can be concurrent, interleaved or ambiguous and can consist of multiple actors (which would require parallel activity ...
Agarwal, Megha, Megha Agarwal, Peter Flach, Flach, Peter   +3 more
core   +1 more source

Deep Randomly-Connected Conditional Random Fields For Image Segmentation

IEEE Access, 2017
The use of Markov random fields (MRFs) is a common approach for performing image segmentation, where the problem is modeled using MRFs that incorporate priors on neighborhood nodes to allow for efficient Maximum a Posteriori inference.
Mohammad Javad Shafiee, Alexander Wong, Paul Fieguth   +2 more
doaj   +1 more source