Time Series

1049 papers with code • 2 benchmarks • 6 datasets

Time series deals with sequential data where the data is indexed (ordered) by a time dimension.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Latest papers without code

Transforming Autoregression: Interpretable and Expressive Time Series Forecast

no code yet • 15 Oct 2021

Probabilistic forecasting of time series is an important matter in many applications and research fields.

Time Series

On Adversarial Vulnerability of PHM algorithms: An Initial Study

no code yet • 14 Oct 2021

With proliferation of deep learning (DL) applications in diverse domains, vulnerability of DL models to adversarial attacks has become an increasingly interesting research topic in the domains of Computer Vision (CV) and Natural Language Processing (NLP).

Time Series

Time Series Clustering for Human Behavior Pattern Mining

no code yet • 14 Oct 2021

Human behavior modeling deals with learning and understanding of behavior patterns inherent in humans' daily routines.

Human Dynamics Time Series +1

IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance

no code yet • 14 Oct 2021

Classification of large multivariate time series with strong class imbalance is an important task in real-world applications.

Classification Data Augmentation +3

How to train RNNs on chaotic data?

no code yet • 14 Oct 2021

Here we offer a comprehensive theoretical treatment of this problem by relating the loss gradients during RNN training to the Lyapunov spectrum of RNN-generated orbits.

Time Series

A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data

no code yet • 14 Oct 2021

Large network logs, recording multivariate time series generated from heterogeneous devices and sensors in a network, can often reveal important information about abnormal activities, such as network intrusions and device malfunctions.

Anomaly Detection Event Detection +1

A Two-layer Approach for Estimating Behind-the-Meter PV Generation Using Smart Meter Data

no code yet • 14 Oct 2021

In this paper, we have come up with a novel two-layer approach to disaggregate the unknown PV generation and native demand from the known hourly net demand data recorded by smart meters: 1) At the aggregate level, the proposed approach separates the total PV generation and native demand time series from the total net demand time series for customers with PVs.

Time Series

Evolutionary trajectory and origin of SARS-CoV-2

no code yet • 14 Oct 2021

The middle deletion group gradually deletes their genome with a certain rhythm trajectory, corresponding to the pandemic peaks, which causes most of the global COVID-19 cases.

Time Series

Detecting Slag Formations with Deep Convolutional Neural Networks

no code yet • 13 Oct 2021

We investigate the ability to detect slag formations in images from inside a Grate-Kiln system furnace with two deep convolutional neural networks.

Time Series

Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps

no code yet • 13 Oct 2021

Many-to-one maps are ubiquitous in machine learning, from the image recognition model that assigns a multitude of distinct images to the concept of "cat" to the time series forecasting model which assigns a range of distinct time-series to a single scalar regression value.

Time Series Time Series Forecasting