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Showing 2151–2200 of 9169 papers

TitleStatusHype
A Physics-informed machine learning model for time-dependent wave runup prediction—0
A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networks—0
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data—0
Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices—0
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer—0
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study—0
Accelerating Neural ODEs Using Model Order Reduction—0
Deep Time Series Models for Scarce Data—0
Change-Point Testing for Risk Measures in Time Series—0
Change points detection in crime-related time series: an on-line fuzzy approach based on a shape space representation—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers—0
A Hybrid Approach on Conditional GAN for Portfolio Analysis—0
Change Point Detection via Multivariate Singular Spectrum Analysis—0
Change-Point Detection in Time Series Using Mixed Integer Programming—0
A Pattern Discovery Approach to Multivariate Time Series Forecasting—0
A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM—0
A Hybrid Approach for Smart Alert Generation—0
Adaptive Classification of Interval-Valued Time Series—0
Deep Time Warping for Multiple Time Series Alignment—0
Log-PDE Methods for Rough Signature Kernels—0
A parsimonious, computationally efficient machine learning method for spatial regression—0
Quantile Convolutional Neural Networks for Value at Risk Forecasting—0
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees—0
Changepoint Analysis of Topic Proportions in Temporal Text Data—0
Aortic Pressure Forecasting with Deep Sequence Learning—0
Deep Temporal Contrastive Clustering—0
Change of persistence in European electricity spot prices—0
Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model—0
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection—0
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data—0
Challenges in Forecasting Malicious Events from Incomplete Data—0
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications—0
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models—0
Challenges and Limitations in the Synthetic Generation of mHealth Sensor Data—0
A hidden Markov model for statistical arbitrage in international crude oil futures markets—0
Challenges and approaches to time-series forecasting in data center telemetry: A Survey—0
CHALLENGER: Training with Attribution Maps—0
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples—0
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis—0
Chain-structured neural architecture search for financial time series forecasting—0
CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction—0
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending—0
CGS-Mask: Making Time Series Predictions Intuitive for All—0
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification—0
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series—0
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios—0
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression—0
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting—0
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