Scientific Research Publishing

From Usefulness to Declining Significance of Deferred Tax Credits: A Critical Consideration of the Post-COVID Period: Empirical and Methodological Limits ()

The pandemic acted as a turning point, as the support measures, the rapid rebound of economic activity, and the return of banks to strong profitability accelerated the absorption of deferred tax ...
IEEE

Time Series Data Prediction Using CNN-BiLSTM based Attention-KAN Model

Abstract: Time series refers to a sequence of data points arranged in chronological order, typically used to represent the trend of a variable over time. These data points can be continuous, such as ...
GitHub

AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)

The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...
IEEE

Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data

Abstract: This article explores the use of Fisher discriminant analysis (FDA) as a method for extracting time-resolved information from multivariate environmental time series data. FDA is useful ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
collider

Stephen King's Underrated Time-Travel Series Is an Instant Netflix Hit

2025 was another big year for fans of Stephen King, with the release of the critically acclaimed dystopian thriller The Long Walk and Edgar Wright's take on The Running Man just two of the many ...