Results 211 to 220 of about 201,162 (313)
Impact of Evaluation Protocols on F1-Score and AVPR in Anomaly Detection Benchmarks
Anomaly detection is a widely explored domain in machine learning. Many models are proposed in the literature, and compared through different metrics measured on various datasets. The most popular metrics used to compare performances are F1-score, AUC and AVPR. In this paper, we show that F1-score and AVPR are highly sensitive to the contamination rate.
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Advanced Science, EarlyView.Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
QTL analysis of <i>Malus baccata</i> 'Jackii'-derived offspring reveals a polygenic inheritance pattern of apple blotch resistance. [PDF]
Front Plant SciPfeifer M +4 more
europepmc +1 more source
Llama3 and Codestral F1-Score Degradation Under Synthetic Code Obfuscation
This report synthesises findings from 1 peer-reviewed paper addressing the following research question: How does the F1-score of Llama3 and Codestral degrade when classifying vulnerabilities in Big-Vul samples subjected to varying levels of synthetic obfuscation compared to clean code.
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Advanced Science, EarlyView.Lanthanide‐doped polyurea microspheres are prepared via a facile one‐step precipitation polymerization. They exhibit strong hydrogen‐bonding and coordination interactions with excellent properties, including multicolor emission, high quantum yield (75.3%), remarkable stability, redispersibility, and biocompatibility.
Guiyu Zhang +9 more
wiley +1 more source
GreenAid: a confidence-weighted ensemble deep learning system for real-time plant disease detection and management. [PDF]
Sci RepTalaat FM, Tawfik M, Shaban WM.
europepmc +1 more source
Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays
Advanced Science, EarlyView.A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo +5 more
wiley +1 more source
Advanced Science, EarlyView.We present a chromosome‐level genome assembly of Siraitia grosvenorii and, through comparative genomics, uncover a conserved UGT73 tandem array driving triterpenoid saponin diversification in Cucurbitaceae. Crystalized SgUGT73AM30 further reveals the regioselectivity mechanism underlying its catalytic activity.
Guangyi Wang +13 more
wiley +1 more source
Artificial intelligence-assisted risk prediction of postoperative pulmonary complications in non-small cell lung cancer surgery. [PDF]
J Cardiothorac SurgÖzçıbık Işık G +7 more
europepmc +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
Advanced Science, EarlyView.CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source