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Patterns

Patterns is a scientific journal, published since 2020 in English. The journal's country of origin is United States.
Details
Abbr. Patterns (N Y)
Start 2020
End Continuing
e-ISSN 2666-3899
Country United States
Language English
Metrics
h-index / Ranks: 10268 31
SJR / Ranks: 1936 1511
CiteScore / Ranks: 3723 6.10
Recent Articles
1.
ETHOS.REFLOW: An open-source workflow for reproducible renewable energy potential assessments
Pelser T, Weinand J, Kuckertz P, Stolten D
Patterns (N Y) . 2025 Mar; 6(2):101172. PMID: 40041858
Accurate renewable energy resource assessments are necessary for energy system planning to meet climate goals, yet inconsistencies in methods and data can produce significant differences in results. This paper introduces...
2.
SplitFusion enables ultrasensitive gene fusion detection and reveals fusion variant-associated tumor heterogeneity
Bian W, Zhang B, Song Z, Knisbacher B, Chan Y, Bao C, et al.
Patterns (N Y) . 2025 Mar; 6(2):101174. PMID: 40041857
Gene fusions are common cancer drivers and therapeutic targets, but clinical-grade open-source bioinformatic tools are lacking. Here, we introduce a fusion detection method named SplitFusion, which is fast by leveraging...
3.
Attention heads of large language models
Zheng Z, Wang Y, Huang Y, Song S, Yang M, Tang B, et al.
Patterns (N Y) . 2025 Mar; 6(2):101176. PMID: 40041856
Large language models (LLMs) have demonstrated performance approaching human levels in tasks such as long-text comprehension and mathematical reasoning, but they remain black-box systems. Understanding the reasoning bottlenecks of LLMs...
4.
Model interpretability enhances domain generalization in the case of textual complexity modeling
van der Sluis F, van den Broek E
Patterns (N Y) . 2025 Mar; 6(2):101177. PMID: 40041855
Balancing prediction accuracy, model interpretability, and domain generalization (also known as [a.k.a.] out-of-distribution testing/evaluation) is a central challenge in machine learning. To assess this challenge, we took 120 interpretable and...
5.
Lessons from the EU AI Act
Alvarado A
Patterns (N Y) . 2025 Mar; 6(2):101183. PMID: 40041854
No abstract available.
6.
Erratum: Data-driven evaluation of electric vehicle energy consumption for generalizing standard testing to real-world driving
Yuan X, He J, Li Y, Liu Y, Ma Y, Bao B, et al.
Patterns (N Y) . 2025 Mar; 6(2):101173. PMID: 40041853
[This corrects the article DOI: 10.1016/j.patter.2024.100950.].
7.
Erratum: A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection
Wu Q, Pajor N, Lu Y, Wolock C, Tong J, Lorman V, et al.
Patterns (N Y) . 2025 Mar; 6(2):101179. PMID: 40041852
[This corrects the article DOI: 10.1016/j.patter.2024.101079.].
8.
Unraveling the complexity of rat object vision requires a full convolutional network and beyond
Muratore P, Alemi A, Zoccolan D
Patterns (N Y) . 2025 Mar; 6(2):101149. PMID: 40041851
Despite their prominence as model systems of visual functions, it remains unclear whether rodents are capable of truly advanced processing of visual information. Here, we used a convolutional neural network...
9.
AI-assisted facial analysis in healthcare: From disease detection to comprehensive management
Lei C, Dang K, Song S, Wang Z, Chew S, Bian R, et al.
Patterns (N Y) . 2025 Mar; 6(2):101175. PMID: 40041850
Medical conditions and systemic diseases often manifest as distinct facial characteristics, making identification of these unique features crucial for disease screening. However, detecting diseases using facial photography remains challenging because...
10.
Erratum: Decorrelative network architecture for robust electrocardiogram classification
Wiedeman C, Wang G
Patterns (N Y) . 2025 Mar; 6(2):101180. PMID: 40041849
[This corrects the article DOI: 10.1016/j.patter.2024.101116.].