The CTU Prague Relational Learning Repository
The aim of the CTU Prague Relational Learning Repository is to support machine learning research with multi-relational data. The repository currently contains 50 SQL databases hosted on a public MySQL server located at relational.fit.cvut.cz.
Motl, Jan, Schulte, Oliver
core
The high-level API service is designed to support rapid development of thin web applications and mashups beyond the state of the art in GIS, while maintaining compatibility with existing tools and expectations. It provides a fully configurable API, while
De Roure, David +5 more
core
PFTuner: An Efficient and Effective Multi-Objective Configuration Tuning Framework Adaptive to Different Software Systems. [PDF]
Feng J, He M, Jin L, Dou H.
europepmc +1 more source
A hybrid blockchain migration framework for converting traditional databases into blockchain-based EMR systems. [PDF]
Al-Busaidi A, Mani J, Yoosuf MS, P V.
europepmc +1 more source
AGREE-YOLO: A Framework for Seafood Recognition and Cross-Cultural Gastronomic Recommendation. [PDF]
Hou M +5 more
europepmc +1 more source
Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care. [PDF]
Veerapaneni RK +3 more
europepmc +1 more source
MGDB: A Novel Bioinformatics Quality Control Tool for Clinical Next-Generation Sequencing. [PDF]
Gayap HT +3 more
europepmc +1 more source
BrCaM an artificial intelligence model for surgical decision making in breast cancer. [PDF]
Evangelista D +5 more
europepmc +1 more source
XASDB: a new database of experimental interactive X-ray absorption spectra. [PDF]
Song X +7 more
europepmc +1 more source

