Results 141 to 150 of about 6,629,786 (241)

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

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Anatomy-guided weakly supervised learning framework for corneal nerve image denoising and enhancement. [PDF]

Biomed Opt Express
Qiao Q, Hou X.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Emotion correction for weibo users via weakly supervised learning and semantic understanding. [PDF]

iScience
Duan G, Chen Z, Shang Y, Xue H.
europepmc   +1 more source

Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data. [PDF]

Bioinformatics, 2021
Huang D, Song B, Wei J, Su J, Coenen F, Meng J.   +5 more
europepmc   +1 more source

Efficient Non-Parametric Function Induction in Semi-Supervised Learning [PDF]

There has been an increase of interest for semi-supervised learning recently, because of the many datasets with large amounts of unlabeled examples and only a few labeled ones.
Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux   +2 more
core  

Astrocytic LMP2 Coordinates NF‐κB and TGF‐β1/Smad3 Signaling to Drive Neuroinflammation after Cerebral Ischemia/Reperfusion

Advanced Science, EarlyView.
ABSTRACT Astrocyte reactivity critically shapes neuroinflammatory outcomes after ischemic stroke, yet the upstream regulators governing astrocyte state transitions remain incompletely defined. Here, we identify the immunoproteasome subunit low molecular weight protein 2 (LMP2) as an important modulator of astrocyte functional remodeling following ...
Yanguang Mao, Rulan Ma, Zejing Lin, Huiying Zhao, Yuexian Liu, Yonghe Su, Xu Zhang, Xingyong Chen   +7 more
wiley   +1 more source

An evaluation of pathology foundation models with weakly supervised learning for BRAF mutation prediction in melanoma whole slide images. [PDF]

Front Med Technol
Godson L, Breen J, Wright AI, Magee D, Bansal D, Treanor D, Clarke EL.   +6 more
europepmc   +1 more source

scEpiLock: A Weakly Supervised Learning Framework for cis-Regulatory Element Localization and Variant Impact Quantification for Single-Cell Epigenetic Data. [PDF]

Biomolecules, 2022
Gong Y, Srinivasan SS, Zhang R, Kessenbrock K, Zhang J.   +4 more
europepmc   +1 more source