9 citations · 16 across the 4 of their papers we have counts for
4 papers
CIMLA: Interpretable AI for inference of differential causal networks
Payam Dibaeinia, Saurabh Sinha
The discovery of causal relationships from high-dimensional data is a major open problem in bioinformatics. Machine learning and feature attribution models have shown great promise…
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach
Jiaming Shen, Jinfeng Xiao, Xinwei He +3
Literature search is critical for any scientific research. Different from Web or general domain search, a large portion of queries in scientific literature search are entity-set qu…
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case
Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh +3
In an effort to overcome the data deluge in computational biology and bioinformatics and to facilitate bioinformatics research in the era of big data, we identify some of the most…
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks
Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi +4
Many real world systems need to operate on heterogeneous information networks that consist of numerous interacting components of different types. Examples include systems that perf…