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Showing 2451–2500 of 9169 papers

TitleStatusHype
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series—0
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art—0
Byte Pair Encoding for Efficient Time Series Forecasting—0
"Butterfly Effect" vs Chaos in Energy Futures Markets—0
A Functional approach for Two Way Dimension Reduction in Time Series—0
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts—0
Business Metric-Aware Forecasting for Inventory Management—0
Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition—0
Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering—0
Bursty and persistent properties of large-scale brain networks revealed with a point-based method for dynamic functional connectivity—0
Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning—0
A Set-Sequence Model for Time Series—0
DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend—0
Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis—0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms—0
DTMamba : Dual Twin Mamba for Time Series Forecasting—0
Building Deep Learning Models to Predict Mortality in ICU Patients—0
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series—0
Contrastive Blind Denoising Autoencoder for Real-Time Denoising of Industrial IoT Sensor Data—0
Dual reparametrized Variational Generative Model for Time-Series Forecasting—0
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction—0
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks—0
Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP)—0
Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks—0
Anomaly detection in laser-guided vehicles' batteries: a case study—0
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series—0
A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering—0
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA—0
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching—0
Bridging the Gap: Decoding the Intrinsic Nature of Time in Market Data—0
Anomaly detection in dynamical systems from measured time series—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
Bridging the Gap: A Decade Review of Time-Series Clustering Methods—0
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation—0
Anomaly Detection in Cloud Components—0
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model—0
Bridging Short- and Long-Term Dependencies: A CNN-Transformer Hybrid for Financial Time Series Forecasting—0
Actions Generation from Captions—0
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection—0
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization—0
Bridging AIC and BIC: a new criterion for autoregression—0
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling—0
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder—0
A Framework for Evaluating the Impact of Food Security Scenarios—0
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction—0
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Dynamic Deep Convolutional Candlestick Learner—0
Action Prediction in Humans and Robots—0
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