tikreg is a Python package that efficiently implements Tikhonov regression. Tikhonov regression gives us a framework to estimate spatiotemporal encoding models with non-spherical multivariate normal ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...

In today’s data-driven world, the ability to effectively analyze data is a key factor in the success of many enterprises. By leveraging data analysis tools and techniques, businesses can gain insights ...

Time series segmentation (TSS) tries to partition a time series (TS) into semantically meaningful segments. It's an important unsupervised learning task applied to large, real-world sensor signals for ...

In the field of personalized medicine, radiomics has shown its potential to support treatment decisions. However, the limited feature interpretability hampers its introduction into the clinics. Here, ...

Deep neural networks (DNNs) have attained human-level performance on dozens of challenging tasks via an end-to-end deep learning strategy. Deep learning allows data representations that have multiple ...

In this article, I’ll be discussing the aspects of using AutoFeat, steps involved and its implementation with a real-world dataset. AutoFeat is a python library that provides automated feature ...