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Showing 2101–2150 of 9169 papers

TitleStatusHype
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs—0
Spiking Neural Networks for Radio Frequency Interference Detection in Radio Astronomy—0
Variable Selection for Comparing High-dimensional Time-Series Data—0
Systematic comparison of deep generative models applied to multivariate financial time series—0
Mining Limited Data Sufficiently: A BERT-inspired Approach for CSI Time Series Application in Wireless Communication and Sensing—0
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series ForecastingCode0
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time SeriesCode0
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond—0
STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs—0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System—0
KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction—0
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization—0
Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning—0
Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays—0
An Efficient Model Maintenance Approach for MLOps—0
UTSD: Unified Time Series Diffusion Model—0
Timestamp calibration for time-series single cell RNA-seq expression dataCode0
Research on Financial Multi-Asset Portfolio Risk Prediction Model Based on Convolutional Neural Networks and Image Processing—0
Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models—0
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data—0
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control—0
Enhancing Crop Segmentation in Satellite Image Time Series with Transformer Networks—0
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency DomainCode0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis—0
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT ScansCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series—0
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data—0
Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signalsCode0
Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data—0
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data—0
An Adversarial Learning Approach to Irregular Time-Series Forecasting—0
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast—0
LLM-ABBA: Understanding time series via symbolic approximation—0
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification—0
The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data—0
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting—0
MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual UnmixingCode0
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network—0
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series—0
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering—0
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data—0
Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithms—0
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework—0
CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors—0
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries—0
Towards Foundation Models for Critical Care Time Series—0
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