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Showing 6251–6300 of 9169 papers

TitleStatusHype
Parsimonious modeling with Information Filtering Networks—0
Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis—0
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning—0
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs—0
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting—0
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods—0
Partial Sum Processes of Residual-Based and Wald-type Break-Point Statistics in Time Series Regression Models—0
Particle swarm optimization for time series motif discovery—0
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach—0
Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach—0
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application—0
Patch-based adaptive temporal filter and residual evaluation—0
A Time-Series Data Augmentation Model through Diffusion and Transformer Integration—0
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification—0
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs—0
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification—0
Implementing a GRU Neural Network for Flood Prediction in Ashland City, Tennessee—0
Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets—0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
Estimating value at risk: LSTM vs. GARCH—0
Path sampling of recurrent neural networks by incorporating known physics—0
Causal Triple Attention Time Series Forecasting—0
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection—0
Path Signatures for Seizure Forecasting—0
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task—0
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting—0
Pattern-Based Prediction of Population Outbreaks—0
Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study—0
Pattern Discovery in Time Series with Byte Pair Encoding—0
Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space—0
Pattern recognition in micro-trading behaviors before stock price jumps: A framework based on multivariate time series analysis—0
Pattern Recognition in Vital Signs Using Spectrograms—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning—0
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study—0
Estimation of Correlation Matrices from Limited time series Data using Machine Learning—0
Estimation of Cross-Sectional Dependence in Large Panels—0
A Time Series Data Analysis of Indian Commercial Dynamism—0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data—0
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction—0
Agriculture Credit and Economic Growth in Bangladesh: A Time Series Analysis—0
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting—0
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring—0
Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers—0
Impact of noise on a dynamical system: prediction and uncertainties from a swarm-optimized neural network—0
PEMS: Pre-trained Epidemic Time-series Models—0
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data—0
Penalized Quasi-likelihood Estimation and Model Selection in Time Series Models with Parameters on the Boundary—0
PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion—0
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection—0
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