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Showing 6101–6150 of 9169 papers

TitleStatusHype
Aedes-AI: Neural Network Models of Mosquito Abundance—0
A windowed correlation based feature selection method to improve time series prediction of dengue fever cases—0
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes—0
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks—0
Modeling biological networks: from single gene systems to large microbial communities—0
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series—0
Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model—0
Recursive input and state estimation: A general framework for learning from time series with missing data—0
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants—0
Viking: Variational Bayesian Variance Tracking—0
Probabilistic water demand forecasting using quantile regression algorithms—0
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions—0
Tracking agitation in people living with dementia in a care environment—0
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity—0
Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian ApproachCode0
Process Outcome Prediction: CNN vs. LSTM (with Attention)—0
Bayesian Optimisation for a Biologically Inspired Population Neural Network—0
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer InformationCode0
A Bayesian analysis of gain-loss asymmetry—0
A Fast Evidential Approach for Stock Forecasting—0
Analysis of bank leverage via dynamical systems and deep neural networks—0
Boosted Embeddings for Time Series Forecasting—0
Granger Causality Based Hierarchical Time Series Clustering for State Estimation—0
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsCode0
Deep Transformer Networks for Time Series Classification: The NPP Safety Case—0
Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data—0
Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures—0
Predicting Inflation with Recurrent Neural Networks—0
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data—0
Neural Network for Weighted Signal Temporal Logic—0
Market Regime Detection via Realized Covariances: A Comparison between Unsupervised Learning and Nonlinear Models—0
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air—0
Min(d)ing the President: A text analytic approach to measuring tax news—0
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series—0
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic SystemsCode0
Model Compression for Dynamic Forecast CombinationCode0
The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories—0
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey—0
Learnable Dynamic Temporal Pooling for Time Series ClassificationCode0
Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies—0
Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels—0
A Comparative Analysis of Machine Learning and Grey Models—0
Model Selection for Time Series Forecasting: Empirical Analysis of Different EstimatorsCode0
Quick Line Outage Identification in Urban Distribution Grids via Smart Meters—0
Channel-Based Attention for LCC Using Sentinel-2 Time Series—0
Online Non-linear Topology Identification from Graph-connected Time Series—0
VisioRed: A Visualisation Tool for Interpretable Predictive MaintenanceCode0
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning—0
Time Series Analysis and Modeling to Forecast: a Survey—0
Causal Hidden Markov Model for Time Series Disease Forecasting—0
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