Contribution of Structure Learning Algorithms in Social Epidemiology: Application to Real-World Data. [PDF]
Int J Environ Res Public HealthColineaux H +5 more
europepmc +1 more source
Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data. [PDF]
BMC Med Res Methodol, 2022 Ke X, Keenan K, Smith VA.
europepmc +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing. [PDF]
PLoS OneShou Z, Li Y, Li D, Mo J, Zhang H.
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis. [PDF]
Appl Intell (Dordr)Petkov H, MacLellan C, Dong F.
europepmc +1 more source
Mining human preference via self-correction causal structure learning. [PDF]
Sci Rep, 2022 Sun J +6 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors. [PDF]
BMC Med Res MethodolZhao Y, Jia J.
europepmc +1 more source
Dynamic Programming BN Structure Learning Algorithm Integrating Double Constraints under Small Sample Condition. [PDF]
Entropy (Basel), 2022 Lv Z +6 more
europepmc +1 more source