An Anytime Querying Algorithm for Predicting Cardiac Arrest in Children: Work-in-Progress

von Skinner, Michael A.
Veröffentlicht in AIME (20. : 2022 : Halifax, Nova Scotia) Artificial intelligence in medicine (2022)

Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem

von Dhami, Devendra Singh
Veröffentlicht in ILP (30. : 2021 : Online) Inductive Logic Programming (2022)

Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models

von Zečević, Matej
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Statistical relational artificial intelligence : logic, probability, and computation

von De Raedt, Luc
Veröffentlicht 2016

Relational Active Feature Elicitation for DDDAS

von Ramanan, Nandini
Veröffentlicht in DDDAS (4. : 2022 : Cambridge, Mass.) Dynamic data driven applications systems (2024)

REPREL: INTEGRATING RELATIONAL PLANNING AND REINFORCEMENT LEARNING FOR EFFECTIVE ABSTRACTION

von Kokel, Harsha
Veröffentlicht in International Conference on Automated Planning and Scheduling (31. : 2021 : Online) Thirty-first International Conference on Automated Planning and Scheduling (ICAPS 2021) (2021)

Neural Networks for Relational Data

von Kaur, Navdeep
Veröffentlicht in ILP (29. : 2019 : Plovdiv) Inductive logic programming (2020)

Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach

von Dhami, Devendra Singh
Veröffentlicht in AIME (19. : 2021 : Online) Artificial Intelligence in Medicine (2021)

An introduction to lifted probabilistic inference

Veröffentlicht 2021

A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes

von Karanam, Athresh
Veröffentlicht in AIME (19. : 2021 : Online) Artificial Intelligence in Medicine (2021)