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Showing 5501–5550 of 9169 papers

TitleStatusHype
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift—0
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data—0
Analysis of cyclical behavior in time series of stock market returns—0
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series—0
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
Data-Driven Time Series Reconstruction for Modern Power Systems Research—0
Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models—0
Data driven synthetic wavefront generation for boundary layer data—0
Motif-based Rule Discovery for Predicting Real-valued Time Series—0
Increasing Server Availability for Overall System Security: A Preventive Maintenance Approach Based on Failure Prediction—0
Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification—0
MotifDisco: Motif Causal Discovery For Time Series Motifs—0
Motif-guided Time Series Counterfactual Explanations—0
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction—0
MoTime: A Dataset Suite for Multimodal Time Series Forecasting—0
Multiplicative Error Models: 20 years on—0
Motion ID: Human Authentication Approach—0
MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling—0
Motor imagery classification using EEG spectrograms—0
Movement extraction by detecting dynamics switches and repetitions—0
Contrastive Blind Denoising Autoencoder for Real-Time Denoising of Industrial IoT Sensor Data—0
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble—0
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting—0
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting—0
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition—0
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation—0
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price—0
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach—0
Analysis of complex circadian time series data using wavelets—0
MSDformer: Multi-scale Discrete Transformer For Time Series Generation—0
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting—0
Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series—0
In-context Time Series Predictor—0
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining—0
Multiplex visibility graphs to investigate recurrent neural networks dynamics—0
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast—0
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
In-Context Fine-Tuning for Time-Series Foundation Models—0
Data-driven soiling detection in PV modules—0
Analysis of chaotic dynamical systems with autoencoders—0
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning—0
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs—0
Income, health, and spurious cointegration—0
Anomaly detection and motif discovery in symbolic representations of time series—0
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability—0
MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry—0
MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network—0
Data-driven Real-time Short-term Prediction of Air Quality: Comparison of ES, ARIMA, and LSTM—0
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