This paper addresses the porosity estimation problem from seismic impedance volumes and
porosity samples located in a small group of exploratory wells. Regression methods, trained …

Identifying discriminative motifs underlying the functionality and evolution of organisms is a
major challenge in computational biology. Machine learning approaches such as support …

Motivation: High-throughput sequencing of RNA in vivo facilitates many applications, not the
least of which is the cataloging of variant splice isoforms of protein-coding messenger RNAs …

Anomaly detection has a prominent position in the processing pipeline of any real-world
data-driven application. Its central goal is to detect and separate valid data points from …

Advancing understanding and interpretation of machine learning algorithms has recently
been receiving much attention. Although classification systems achieve high prediction …