Results 161 to 170 of about 21,136,484 (286)

ProtDML: label-aware representation learning for broad-spectrum protein function prediction. [PDF]

Brief Bioinform
Kan Y, Yi G.
europepmc   +1 more source

Label-sensitive task grouping by Bayesian nonparametric approach for multi-task multi-label learning

, 2018
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. Multi-label learning is widely applied in many real-world applications, such as image and gene annotation. While most of the existing multi-label learning models focus
V Nguyen (9860309), F Zhuang (6848963), X Zhang (6084905), S Lu (7730726), W Li (7678928), H Xiong (4483057)   +5 more
core  

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

Automated 3D Tooth Segmentation and Dental Splint Synthesis from Intraoral Scans: A Deep Learning Pipeline for Computer-Aided Digital Dentistry. [PDF]

Diagnostics (Basel)
Çelik B, Özkaya M, Çelik ME.
europepmc   +1 more source

Photo‐Switchable Molecular Module Programming PET Biodegradation in Aquatic Environments

Advanced Functional Materials, EarlyView.
We address the plastic durability paradox by integrating an itaconic acid–derived pyrrolidone module into polymer backbones. Sunlight in water triggers Norrish Type I ring‐opening and hydrophilization, enabling rapid biodegradation into nontoxic minerals.
Mohammad Asif Ali, Jixin Zheng, Satoshi Wakai, Jie Liu, Hidetaka Nomaki, Misato Tsukatani, Noriyuki Isobe, Jingcheng Sang, Yuriko Aoki, Hideo Okamura, Daisuke Sasaki, Chiaki Ogino, Yuzo Yamazaki, Takashi Nishikaze, Kenji Takada, Maiko K. Okajima, Tatsuo Kaneko   +16 more
wiley   +1 more source

Multi-view Fusion and View-specific-labels Learning for Multi-label Classification

Neural Processing Letters
Zhongliu Yang, Jun Yin
openaire   +2 more sources

Automated chest X-ray disease screening using large language models and deep convolutional neural networks on the MIMIC-CXR dataset. [PDF]

Front Digit Health
Zhang Q, Vasudev P, Li K, Kunz H.
europepmc   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Less can be better: decomposing clinical data modalities in large language model-based healthcare applications. [PDF]

J Am Med Inform Assoc
Peng C, Lyu M, Chen Z, Wu Y.
europepmc   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source