Results 81 to 90 of about 8,974 (165)

Inductive‐Associative Meta‐learning Pipeline with Human Cognitive Patterns for Unseen Drug‐Target Interaction Prediction

Advanced Science, Volume 12, Issue 35, September 18, 2025.
Predicting unseen drug‐target interactions is challenging. BioBridge presents an Inductive‐Associative pipeline inspired by scientists' workflow. It combines transferable binding principles, learned via multi‐level encoders and adversarial training, with insights from weakly related references through meta‐learning.
Xiaoqing Lian, Tianxu Lv, Jie Zhu, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Hong Xu, Xiaoting Wang, Lihua Li, Xiangxiang Zeng, Xiang Pan   +11 more
wiley   +1 more source

Dynamic meta-learning with generative augmentation for cross-lingual Japanese few-shot named entity recognition

Systems and Soft Computing
Named Entity Recognition (NER) in Japanese is a challenging task due to data scarcity, limited cross-lingual transfer capabilities, and fuzzy entity boundaries, especially in low-resource environments.
Demei Zhu, Qin Liu, Xiaoying Pan, Xiaoli Shao   +3 more
doaj   +1 more source

Beyond linear: How circRNAs twist and turn Notch signaling

Journal of Cell Communication and Signaling, Volume 19, Issue 3, September 2025.
Circular RNAs have crucial functions in the regulation of the Notch pathway. They mainly regulate this pathway through modulation of NOTCH 1, NOTCH 2, and NOTCH 3. Jagged and DLL transcripts are also regulated by circular RNAs. Abstract Circular RNAs (circRNAs) have emerged as pivotal regulators of the Notch signaling pathway, influencing diverse ...
Pegah Yazdan Panah, Amir Sadeghi, Soudeh Ghafouri‐Fard   +2 more
wiley   +1 more source

Notch NICD domains form biomolecular condensates

Journal of Cell Communication and Signaling, Volume 19, Issue 3, September 2025.
Abstract Biomolecular condensates are a quickly emerging area of research that strongly impacts how we view the inner workings of the cell itself. Here, we explore the connection between the Notch signaling pathway and nuclear condensate localization.
Tana R. Gazdik, Anamaria Zavala, Henry A. Charlier Jr., Michael A. Detweiler, Jacob J. Crow, Tyler Lawton, David Oke, Saborni Sarker, Allan R. Albig   +8 more
wiley   +1 more source

Harnessing Small‐Data Machine Learning for Transformative Mental Health Forecasting: Towards Precision Psychiatry With Personalised Digital Phenotyping

Med Research, Volume 1, Issue 2, Page 226-238, September 2025.
Small‐data machine learning models (e.g., TabPFN, GPs) harness sparse digital phenotyping streams from wearables and smartphones to forecast individualized mental health trajectories, enabling proactive interventions through uncertainty‐aware predictions and closed‐loop clinical integration. ABSTRACT Advances in digital phenotyping have opened the door
Peng Wang, Hongjun Liu, Yiming Shi, Ao Liu, Qingyu Zhu, Irina Albu, Maja Pacholec, Lulu Cheng, Xu Sun, Xinli Chi   +9 more
wiley   +1 more source

Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning

, 2021
The Continual Learning (CL) problem involves performing well on a sequence of tasks under limited compute. Current algorithms in the domain are either slow, offline or sensitive to hyper-parameters. La-MAML, an optimization-based meta-learning algorithm claims to be better than other replay-based, prior-based and meta-learning based approaches ...
Joseph, Joel, Gu, Alex
openaire   +2 more sources

Joint Three-Task Optical Performance Monitoring with High Performance and Superior Generalizability Using a Meta-Learning-Based Convolutional Neural Network-Attention Algorithm and Amplitude-Differential Phase Histograms Across WDM Transmission Scenarios

Photonics
Nonlinear noise power (NLNP) estimation, optical signal-to-noise ratio (OSNR) monitoring, and modulation format identification (MFI) are crucial for optical performance monitoring (OPM) in future dynamic WDM optical networks.
Di Zhang, Junyao Shi, Yameng Cao, Yan Ling Xue   +3 more
doaj   +1 more source

Sustainable improvement and application of multilingual english translation quality using T5 and MAML

Discover Artificial Intelligence
In the current era of global economic integration and digital economy development, multilingual English translation plays a crucial role in cultural exchange. Traditional translation models have poor adaptability and fitting ability.
Hongping Sun, Biao Kong
doaj   +1 more source

Adaptive Position Control of Pneumatic Continuum Manipulator Based on MAML Meta-Reinforcement Learning

Applied Sciences
Reinforcement learning algorithms usually focus on a specific task, which often performs well only in the training environment. When the task changes, its performance drops significantly, with the algorithm lacking the ability to adapt to new ...
Lina Hao, Qiang Cheng, Hongshuai Liu, Ying Zhang   +3 more
doaj   +1 more source

MAML MOT: Multiple Object Tracking Based on Meta-Learning

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
With the advancement of video analysis technology, the multi-object tracking (MOT) problem in complex scenes involving pedestrians is gaining increasing importance. This challenge primarily involves two key tasks: pedestrian detection and re-identification.
Chen, Jiayi, Deng, Chunhua
openaire   +2 more sources