Scales map a dimension of abstract data to a visual representation. Although most often used for encoding data as position, say to map time and temperature to a horizontal and vertical position in a ...

Abstract: Convolutionary neural network (CNN) is a popular choice for supervised DNA motif prediction due to its excellent performances. To employ CNN, the input DNA sequences are required to be ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

Hyperdimensional Computing (HDC) is a brain-inspired and lightweight machine learning method. It has received significant attention in the literature as a candidate to be applied in the wearable ...

Summary: Researchers uncovered the connection between individuals’ drawings and their arithmetic problem-solving strategies. By analyzing the illustrations produced by both children and adults when ...

Mellon, J., and Worrell, C., 2023: Explainability in Cybersecurity Data Science. Software Engineering Institute blog, Accessed July 1, 2026, https://doi.org/10.58012 ...

Are animals’ preferences determined by absolute memories for options (e.g. reward sizes) or by their remembered ranking (better/worse)? The only studies examining this question suggest humans and ...