Results 161 to 170 of about 4,317,504 (301)

C-ViT: An Improved ViT Model for Multi-Label Classification of Bamboo Chopstick Defects. [PDF]

Sensors (Basel)
Wang W, Peng W, Zeng L, Shen Y, Zhu C, Kuang Y.   +5 more
europepmc   +1 more source

Multi-label classification of retinal disease via a novel vision transformer model. [PDF]

Front Neurosci, 2023
Wang D, Lian J, Jiao W.
europepmc   +1 more source

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among U.S. Veterans

Arthritis Care &Research, Accepted Article.
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler, Joshua F. Baker, Jennifer L. Barton, Maria I. Danila, Tate M. Johnson, Kamini Kuchinad, Kaleb Michaud, Amir A. Razmjou, J. Steuart Richards, Namrata Singh, Isaac D. Smith, Katherine D. Wysham, Grant W. Cannon, Bryant R. England, Amy Joseph, Deana Lazaro, Katherine P. Liao, Courtney Loecker, Andreas Reimold, Beth I. Wallace, Ted R. Mikuls   +20 more
wiley   +1 more source

Comparative evaluation of multi-label classification methods

, 2012
This paper presents a comparative evaluation of popular multi-label classification methods on several multi-label problems from different domains. The methods include multi-label k-nearest neighbor, binary relevance, label power set, random k-label set ...
Abbas Kouzani (13079637), Gulisong Nasierding (13071543)   +1 more
core  

Open circuit fault localization in dual active bridge based simultaneous battery charging systems using multi label classification. [PDF]

Sci Rep
El-Naeem KSA, Nayel MA, Abdelrahem M, Alkabbany I.   +3 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

OralHybridNet: A Deep Learning Framework for Multi-Label Classification of Dental Restorations and Prostheses in Panoramic Radiographs. [PDF]

Inquiry
Khurshid Z, Moustafa Ali RM, Alharbi AS, Osathanon TN, Alfaraj A, Porntaveetus T.   +5 more
europepmc   +1 more source

Discriminative-Region Multi-Label Classification of Ultra-Widefield Fundus Images. [PDF]

Bioengineering (Basel), 2023
Pham VN, Le DT, Bum J, Kim SH, Song SJ, Choo H.   +5 more
europepmc   +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, EarlyView.
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

Hybrid deep learning approach for multi-label classification problem: genre prediction

The primary aim is to develop a model that can achieve high accuracy in solving multi label classification problems by training, testing, and analyzing deep learning models that utilize both image and text data.
Aşuroğlu, Tunç, Ekinci, Fatih, Güzel, Mehmet Serdar, Ünal, Metehan, Açıcı, Koray, Ünal, Fatıma Zehra   +5 more
core   +1 more source