Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction. [PDF]
Yu H, Fessler JA, Jiang Y.
europepmc +1 more source
ParBayesianOptimization: Parallel Bayesian Optimization of Hyperparameters [PDF]
Samuel Wilson
openalex +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Scalable HMO-CNN-SVM Framework for Skin Lesion Classification: A Metaheuristic-Driven Approach With Parallelizable Optimization for Cluster Deployment. [PDF]
Fendzi Mbasso W +6 more
europepmc +1 more source
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui +3 more
wiley +1 more source
Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods. [PDF]
Biswas R +4 more
europepmc +1 more source
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models [PDF]
Jingjing Xu +4 more
openalex +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Hyperparameter optimization of YOLO using differential evolution, multi-fidelity optimization, and Bayesian optimization. [PDF]
Gill MU, Rajendran P.
europepmc +1 more source

