Results 81 to 90 of about 21,136,484 (286)

GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding

IEEE Access
Automatic movie genre detection is vital for improving content recommendations, user experiences, and organization. Multi-label generation detection assigns multiple labels to a movie and recognizes a movie’s diverse themes.
Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Mona Mohammed Alnahari, Reemiah Muneer Alotaibi   +5 more
doaj   +1 more source

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Reliable cross-view neighborhood relation transfer and high-order semantic structure mining for incomplete multi-view partial multi-label classification

Journal of King Saud University: Computer and Information Sciences
Multi-view multi-label classification has attracted increasing attention because it can characterize complex real-world data from multiple perspectives.
Jiayan Li, Zhixian Jiang, Wenbin Bu, Nisuo Du, Xiaohuan Lu   +4 more
doaj   +1 more source

MICkNN: Multi-Instance Covering kNN Algorithm

Tsinghua Science and Technology, 2013
Mining from ambiguous data is very important in data mining. This paper discusses one of the tasks for mining from ambiguous data known as multi-instance problem.
Shu Zhao, Chen Rui, Yanping Zhang
doaj   +1 more source

Label recovery and label correlation co-learning for multi-view multi-label classification with incomplete labels. [PDF]

Appl Intell (Dordr), 2023
He ZF, Zhang CH, Liu B, Li B.
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

valeman/Multi-class-probabilistic-classification: v0.1.0

, 2022
Multi-class probabilistic classification using inductive and cross Venn–Abers ...
valeman
core   +1 more source

Multimodal 3D Model Retrieval Based on Compact Center Loss [PDF]

Jisuanji gongcheng
With the continuous advancement of 3D model classification and retrieval tasks, multimodal feature fusion has emerged as a key technique for enhancing model performance and enriching shape representation.
LONG Liye, JIAO Shichao, GUO Lei, HAN Xie, KUANG Liqun
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Noisy Label Calibration for Multi-View Classification

In recent years, multi-view learning has aroused extensive research passion. Most existing multi-view learning methods often rely on well-annotations to improve decision accuracy.
Sun, Yuan, Xu, Shilin, Peng, Dezhong, Li, Xingfeng, Ren, Zhenwen, Liu, Zheng, Duan, Siyuan   +6 more
core   +1 more source