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Time Series

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Showing 1301–1325 of 9169 papers

TitleStatusHype
Improving Time Series Classification with Representation Soft Label Smoothing—0
MPADA: Open source framework for multimodal time series antenna array measurementsCode0
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series ClassificationCode1
On-device AI: Quantization-aware Training of Transformers in Time-Series—0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and GenerationCode0
Real-Time Energy Pricing in New Zealand: An Evolving Stream AnalysisCode0
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models—0
Trading with Time Series Causal Discovery: An Empirical StudyCode1
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series ForecastingCode0
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models—0
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive ImpairmentCode0
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You NeedCode1
Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification ApproachCode0
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series—0
Can Transformers Do Enumerative Geometry?Code0
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models—0
Interactive dense pixel visualizations for time series and model attribution explanations—0
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures—0
Consistent diffusion matrix estimation from population time seriesCode0
Modeling the Dynamics of Growth in Master-Planned CommunitiesCode0
Improving Water Quality Time-Series Prediction in Hong Kong using Sentinel-2 MSI Data and Google Earth Engine Cloud Computing—0
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning—0
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction—0
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