Results 181 to 190 of about 287,343 (334)

Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data. [PDF]

Stat Med
Khadem Charvadeh Y, Seier K, Panageas KS, Vaithilingam D, Gönen M, Chen Y.   +5 more
europepmc   +1 more source

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

Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models. [PDF]

Stat Med
Mi J, Tendulkar RD, Sittenfeld SMC, Patil S, Zabor EC.   +4 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices. [PDF]

PLoS One
Koczkodaj WW, Pedrycz W, Pigazzini A, Pigazzini LP.   +3 more
europepmc   +1 more source

Imputation of missing information in worldwide patent data

, 2020
Gaétan de Rassenfosse, Florian Seliger
openalex   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

Advanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang   +7 more
wiley   +1 more source

Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification Performance. [PDF]

Brain Sci
Aracri F, Bianco MG, Quattrone A, Sarica A.   +3 more
europepmc   +1 more source

Artifact rejection and missing data imputation in cerebral blood flow velocity signals via trace norm minimization. [PDF]

Physiol Meas, 2020
Allan Gunn C, Hu X, Vandenberghe L.
europepmc   +1 more source

A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data

Jörn Lötsch, Alfred Ultsch
openalex   +1 more source