Results 171 to 180 of about 76,480 (326)

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

Advanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma, Ting‐Ting Gao, Wei Cui, Attilio Frangi, Gang Yan, Lin Zhao   +5 more
wiley   +1 more source

InsuLock: A Weakly Supervised Learning Approach for Accurate Insulator Prediction, and Variant Impact Quantification. [PDF]

Genes (Basel), 2022
Srinivasan SS, Gong Y, Xu S, Hwang A, Xu M, Girgenti MJ, Zhang J.   +6 more
europepmc   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

A Weakly Supervised Learning Approach for Surgical Instrument Segmentation from Laparoscopic Video Sequences. [PDF]

Proc SPIE Int Soc Opt Eng, 2022
Yang Z, Simon R, Linte C.
europepmc   +1 more source

Learning Context for Weakly-Supervised Action Detection Using Graph Convolutional Networks : master's thesis computerscience Leiden University [PDF]

, 2020
M. Tsiaousis
openalex  

Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay

Advanced Science, EarlyView.
An AI‐facilitated real‐time digital micromotor tracking‐enabled immunoassay is developed, which leverages a self‐developed multi‐microparticle tracking system to monitor micromotor motion trajectories in a real‐time manner for digital protein analysis.
Jingjing Shi, Zuhua Yu, Hui Tian, Wenjiao Fan, Yuanyuan Sun, Wei Ren, Chenghui Liu   +6 more
wiley   +1 more source

Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience

Scientific Reports
Multiple artificial intelligence systems have been created to facilitate accurate and prompt histopathological diagnosis of tumors using hematoxylin-eosin-stained slides.
Mingrong Zuo, Xiang Xing, Linmao Zheng, Hao Wang, Yunbo Yuan, Siliang Chen, Tianping Yu, ShuXin Zhang, Yuan Yang, Qing Mao, Yongbin Yu, Ni Chen, Yanhui Liu   +12 more
doaj   +1 more source

Weakly Supervised Learning for Categorization of Medical Inquiries for Customer Service Effectiveness. [PDF]

Front Res Metr Anal, 2021
Singhal S, Hegde B, Karmalkar P, Muhith J, Gurulingappa H.   +4 more
europepmc   +1 more source

Compact discriminative object representation via weakly supervised learning for real‐time visual tracking

, 2017
Weichao Shen, Yuwei Wu, Yunde Jia
openalex   +2 more sources

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source