Results 251 to 260 of about 842,651 (374)

An Efficient Replay for Class-Incremental Learning with Pre-trained Models [PDF]

Yin, Weimin, Bin Xie, Zhen Tan
openalex   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Role of urinary leukocytes in the risk stratification of prostate cancer using nonlinear stacking learning strategy: a bi-cohort diagnostic study. [PDF]

Front Oncol
Xia S, Ran Z, Cheng M, Zhu H, Yang C, Wu X.   +5 more
europepmc   +1 more source

MAPLE: Memory-Augmented Prototype Learning with Evolution for Few-Shot Class-Incremental Learning

Hadi Alabi Radji Alakpo, Jijoho Credo Pascalin Houeto, Abdel Oloubo   +2 more
openalex   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Hyper-MDR: An open-world multimodal reasoning framework based on dynamic hypergraph and meta-strategy optimization. [PDF]

PLoS One
Shi J, Huang X, Yuan L.
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Implicit theories of entrepreneurship and entrepreneurial intentions: the roles of entrepreneurial self-efficacy and person-entrepreneurship fit. [PDF]

BMC Psychol
Pan H, Du K, Zhou J, Zhang L.
europepmc   +1 more source

Pellet Printing for Soft Robotic Devices

Advanced Science, EarlyView.
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu, Ju‐Hung Chen, Ariana Olivares, Katherine Kostak, Stefan Pedicone, Savita V. Kendre, Markus P. Nemitz   +6 more
wiley   +1 more source

Astrocyte-gated multi-timescale plasticity for online continual learning in deep spiking neural networks. [PDF]

Front Neurosci
Dong Z, He W.
europepmc   +1 more source