A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.

Multi Comparison Matrix: A long term approach to benchmark evaluations

LITE: Light Inception with boosTing tEchniques for Time Series Classification

The repository provides a synthetic multivariate time series data generator. The implementation is an extention of the cylinder-bell-funnel time series data generator. The scipt enables synthetic data generation of different length, dimensions and samples.

Hand-Crafted Convolutional Filters 4 Time Series

This work focused on fast searching for the best warping window for Dynamic Time Warping and Time Series Classification

Domain Foundation Models for Time Series Classification

Visualization of 1D CNNs filters space for Time Series Analysis

Dissimilarity-Based One-Class Time Series Classification

An automated code-base for time-series classification

A social demographic dataset for analysis of the COVID-19 pandemic.

Second challenge of the 'Artificial Neural Networks and Deep Learning' Course, aiming on classifing time series using different RNN architectures, exploring and improving their structures.

Exoplanet Transit Detection using Deep Neural Networks written in Python

I have accepted the "100 Days of ML Code" Challenge given by Siraj Raval !!

Time series data forecasting

Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives