Deep Transformation Method for Discriminant Feature Extraction from Multi-Channel Time Series Data
Adversarial Unsupervised Representation Learning for Activity Time-Series
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Cogra: Concept-drift-aware Stochastic Gradient Descent for Time-series Forecasting
Estimating the Causal Effect from Partially Observed Time Series
RobustSTL: A Robust Seasonal-Trend Decomposition Procedure for Long Time Series
Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis
TapNet: Multivariate Time Series Classificationwith Attentional Prototype Network
DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
Learnable Dynamic Temporal Pooling for Time Series Classification
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
Joint-Label Learning by Dual Augmentation for Time Series Classification
Learning Representations for Incomplete Time Series Clustering
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series
Temporal Latent Autoencoder: A Method for Probabilistic Multivariate Time Series Forecasting
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Time Series Anomaly Detection with Multiresolution Ensemble Decoding
Outlier Impact Characterization for Time Series Data
Generative Semi-Supervised Learning for Multivariate Time Series Imputation
Time Series Domain Adaptation via Sparse Associative Structure Alignment
AnomalyKiTS: Anomaly Detection Toolkit for Time Series
Clustering Interval-Censored Time-Series for Disease Phenotyping
Towards a Rigorous Evaluation of Time-Series Anomaly Detection
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
TS2Vec: Towards Universal Representation of Time Series
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors
Conditional Loss and Deep Euler Scheme for Time Series Generation
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest
Similarity Preserving Representation Learning for Time Series Clustering
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering
Explainable Deep Neural Networks for Multivariate Time Series Predictions
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
E^2GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation
A new attention mechanism to classify multivariate time series
The Squawk Bot: Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
Time-Series Representation Learning via Temporal and Contextual Contrasting
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
Time-Aware Multi-Scale RNNs for Time Series Modeling
Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting
Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting Memory Augmented State Space Model for Time Series Forecasting DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning Neural Contextual Anomaly Detection for Time Series
ExplainIt! -- A declarative root-cause analysis engine for time series data
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures
Database Workload Capacity Planning using Time Series Analysis and Machine Learning
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection
AutoAI-TS:AutoAI for Time Series Forecasting
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
Scalable Time Series Compound Infrastructure
GRAIL: Efficient Time-Series Representation Learning
Smile: A System to Support Machine Learning on EEG Data at Scale
Apache IoTDB: Time-series database for Internet of Things
Monarch: Google’s Planet-Scale In-Memory Time Series Database
DeepTRANS: A Deep Learning System for Public Bus Travel Time Estimation using Traffic Forecasting
ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data
Heracles: An Efficient Storage Model And Data Flushing For Performance Monitoring Timeseries
METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting AutoCTS: Automated Correlated Time Series Forecasting
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information NLC: Search Correlated Window Pairs on Long Time Series
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data Anomaly Detection in Time Series: A Comprehensive Evaluation A New Distributional Treatment for Time Series and An Anomaly Detection Investigation TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms
OnlineSTL: Scaling Time Series Decomposition by 100x Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB Chimp: Efficient Lossless Floating Point Compression for Time Series Databases
On Repairing Timestamps for Regular Interval Time Series
SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data
FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification
TARDIS: Distributed Indexing Framework for Big Time Series Data
Hankel Matrix Factorization for Tagged Time Series to Recover Missing Values During Blackouts
RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series
Efficient Bottom-Up Discovery of Multi-scale Time Series Correlations Using Mutual Information
Active Model Selection for Positive Unlabeled Time Series Classification
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining
Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values
User-driven Error Detection for Time Series with Events
Two-Level Data Compression using Machine Learning in Time Series Database
Telescope: An Automatic Feature Extraction and Transformation Approach for Seasonal Time Series Forecasting on a Level-Playing Field
ChainLink: Indexing Big Time Series Data For Long Subsequence Matching
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting
An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting
DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series
Finding Time Series Natural Structures via A Novel Graph-Based Scheme
Efficient Shapelet Discovery for Time Series Classification
Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB+
TS-Benchmark: A Benchmark for Time Series Database
Robust and Explainable Autoencoders for Time Series Outlier Detection Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders
IPS: Instance Profile for Shapelet Discovery for Time Series Classification Towards Backdoor Attack on Deep Learning based Time Series Classification Learning Evolvable Time-series Shapelets
Towards Spatio-Temporal Aware Traffic Time Series Forecasting
Constructing Compact Time Series Index for Efficient Window Query Processing
Modeling Extreme Events in Time Series Prediction
Multi-Horizon Time Series Forecasting with Temporal Attention Learning
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
Time-Series Anomaly Detection Service at Microsoft
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns
Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness
Fitbit for Chickens? Time Series Data Mining Can Increase the Productivity of Poultry Farms
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Attention based multi-modal new product sales time-series forecasting
USAD: UnSupervised Anomaly Detection on multivariate time series
Representation Learning of Multivariate Time Series using a Transformer Framework
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting
Statistical models coupling allows for complex localmultivariate time series analysis
Fast and Accurate Partial Fourier Transform for Time Series Data
Causal and Interpretable Rules for Time Series Analysis
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization
Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
Apriori Convolutions for Highly Efficient and Accurate Time Series Classification
Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams Local Evaluation of Time Series Anomaly Detection Algorithms
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting Multi-Variate Time Series Forecasting on Variable Subsets Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences Learning Differential Operators for Interpretable Time Series Modeling
Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding Higher-Level Structure in Time Series
Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile
Matrix Profile XV: Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets
A Wasserstein Subsequence Kernel for Time Series
MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks
Triple-Shapelet Networks for Time Series Classification
Order-Preserving Metric Learning for Mining Multivariate Time Series
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW
Inductive Granger Causal Modeling for Multivariate Time Series
Mining Recurring Patterns in Real-Valued Time Series using the Radius Profile
Learning Periods from Incomplete Multivariate Time Series
Multivariate Time-series Anomaly Detection via Graph Attention Network
MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives
Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation
Fast and Accurate Time Series Classification Through Supervised Interval Search
Towards Generating Real-World Time Series Data
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
Mining Statistically Significant Paths in Time Series Data from an Unknown Network Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
Gaussian Process Model Learning for Time Series Classification Contrast Profile: A Novel Time Series Primitive that Allows Classification in Real World Settings LIFE: Learning Individual FEatures for Multivariate Time Series Prediction with Missing Values