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

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Showing 1151–1200 of 6748 papers

TitleStatusHype
Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems—0
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version—0
An Empirical Evaluation of Similarity Measures for Time Series Classification—0
AutoAI-TS: AutoAI for Time Series Forecasting—0
Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series—0
Advancing multivariate time series similarity assessment: an integrated computational approach—0
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series—0
Comparative Study of Machine Learning Models for Stock Price Prediction—0
A user-centric model of voting intention from Social Media—0
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings—0
A Unified SVM Framework for Signal Estimation—0
A Unified Method for First and Third Person Action Recognition—0
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach—0
A unified machine learning approach to time series forecasting applied to demand at emergency departments—0
A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques—0
A comparison among some Hurst exponent approaches to predict nascent bubbles in 500 company stocks—0
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series—0
Augmenting transferred representations for stock classification—0
Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders—0
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce—0
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction—0
Comparing Lexical Usage in Political Discourse across Diachronic Corpora—0
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study—0
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection—0
Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network—0
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction—0
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification—0
A Two-Way Transformed Factor Model for Matrix-Variate Time Series—0
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification—0
A Two-Step Framework for Arbitrage-Free Prediction of the Implied Volatility Surface—0
ADSaS: Comprehensive Real-time Anomaly Detection System—0
A Two-Stage Coordinative Zonal Volt/VAR Control Scheme for Distribution Systems with High Inverter-based Resources—0
A Two-layer Approach for Estimating Behind-the-Meter PV Generation Using Smart Meter Data—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A Wavelet Approach—0
Compact representation of temporal processes in echosounder time series via matrix decomposition—0
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation—0
Attentive Gaussian processes for probabilistic time-series generation—0
An Efficient ADMM Algorithm for Structural Break Detection in Multivariate Time Series—0
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations—0
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry—0
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion—0
An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics—0
AttentionFlow: Visualising Influence in Networks of Time Series—0
Attention-based Neural Network for Driving Environment Complexity Perception—0
An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows—0
Admissible Time Series Motif Discovery with Missing Data—0
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes—0
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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