SOTAVerified

Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1351–1400 of 6748 papers

TitleStatusHype
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting—0
ProActive: Self-Attentive Temporal Point Process Flows for Activity SequencesCode0
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformersCode1
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review—0
Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition—0
Fault Diagnosis of Inter-turn Short Circuit in Permanent Magnet Synchronous Motors with Current Signal Imaging and Unsupervised Learning—0
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance—0
It's a super deal -- train recurrent network on noisy data and get smooth prediction free—0
VitalDBCode1
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention—0
Motiflets -- Simple and Accurate Detection of Motifs in Time SeriesCode1
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series ForecastingCode1
Classification of Stochastic Processes with Topological Data Analysis—0
Multivariate backtests and copulas for risk evaluation—0
TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study)Code1
On the balance between the training time and interpretability of neural ODE for time series modelling—0
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection—0
Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting—0
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamicsCode1
Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach—0
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data—0
DDPG based on multi-scale strokes for financial time series trading strategy—0
Causal impact of severe events on electricity demand: The case of COVID-19 in Japan—0
Using Connectome Features to Constrain Echo State Networks—0
Forecasting the production of Distillate Fuel Oil Refinery and Propane Blender net production by using Time Series Algorithms—0
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis—0
Human Activity Recognition on Time Series Accelerometer Sensor Data using LSTM Recurrent Neural Networks—0
Constraints on parameter choices for successful reservoir computing—0
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning RulesCode1
Learning code summarization from a small and local dataset—0
Generating Sparse Counterfactual Explanations For Multivariate Time SeriesCode0
Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing DataCode0
Sentiment Analysis of Homeric Text: The 1st Book of Iliad—0
Visualizing Parliamentary Speeches as Networks: the DYLEN Tool—0
OmniXAI: A Library for Explainable AICode2
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks—0
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction—0
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting—0
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groupsCode0
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time SeriesCode1
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series—0
FEW SHOT CROP MAPPING USING TRANSFORMERS AND TRANSFER LEARNING WITH SENTINEL-2 TIME SERIES: CASE OF KAIROUAN TUNISIA—0
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasksCode0
Temporal Multiresolution Graph Neural Networks For Epidemic PredictionCode0
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering—0
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality PredictionCode0
CHALLENGER: Training with Attribution Maps—0
Non-stationary Transformers: Exploring the Stationarity in Time Series ForecastingCode2
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units—0
Show:102550
← PrevPage 28 of 135Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified