ascopubs.org

Clarifying Causal Effects of Interest and Underlying Assumptions in Randomized and Nonrandomized Clinical Trials in Oncology Using Directed Acyclic Graphs and Single-World ...

The aim of this research therefore was to streamline the understanding of typical causal structures in both randomized and nonrandomized clinical trials in oncology, presenting concise guidelines for ...
IEEE

ST-DAGCN: Spatial-Temporal Directed Acyclic Graph Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification

Abstract: Building comprehensive brain connectomes has proved of fundamental importance in resting-state fMRI (rs-fMRI) analysis. Based on the foundation of brain network, spatial-temporal-based graph ...
IEEE

Adaptive Hierarchical Text Classification Using ERNIE and Dynamic Threshold Pruning

Abstract: Hierarchical Text Classification (HTC) is a challenging task where labels are structured in a tree or Directed Acyclic Graph (DAG) format. Current approaches often struggle with data ...
GitHub

Polars + Bloomberg Open API

polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
GitHub

Python Library for Evaluation

Evaluation allows us to assess how a given model is performing against a set of specific tasks. This is done by running a set of standardized benchmark tests against the model. Running evaluation ...