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Showing 3751–3800 of 9169 papers

TitleStatusHype
Facial Expression Classification Using Rotation Slepian-based Moment Invariants—0
EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles—0
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features—0
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation—0
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs—0
C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition—0
Movement-Prediction-Adjusted Naïve Forecast—0
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification—0
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting—0
A new hazard event classification model via deep learning and multifractal—0
Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data—0
Fuzzy clustering of ordinal time series based on two novel distances with economic applications—0
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task—0
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms—0
Fuzzy Longest Common Subsequence Matching With FCM Using R—0
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting—0
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows—0
GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series—0
Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data—0
Extreme-Long-short Term Memory for Time-series Prediction—0
GAGE: Geometry Preserving Attributed Graph Embeddings—0
Gait complexity assessed by detrended fluctuation analysis is sensitive to inconsistencies in stride time series: A modeling study—0
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data—0
Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset—0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network—0
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation—0
Classification of chaotic time series with deep learning—0
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets—0
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series—0
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction—0
Liquid Resistance Liquid Capacitance Networks—0
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback—0
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification—0
Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model—0
Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning—0
Extracting Predictive Information from Heterogeneous Data Streams using Gaussian Processes—0
Classification of Anomalies in Telecommunication Network KPI Time Series—0
Gaussian mixture model decomposition of multivariate signals—0
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow—0
Gaussian processes based data augmentation and expected signature for time series classification—0
Extension of the Lagrange multiplier test for error cross-section independence to large panels with non normal errors—0
Gaussian process imputation of multiple financial series—0
Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN—0
Extension of causal decomposition in the mutual complex dynamic process—0
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods—0
Classification Models for Partially Ordered Sequences—0
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction—0
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids—0
Extending Deep Learning Models for Limit Order Books to Quantile Regression—0
Classification des Séries Temporelles Incertaines par Transformation Shapelet—0
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