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Showing 4201–4250 of 9169 papers

TitleStatusHype
ZEBRA: Z-order Curve-based Event Retrieval Approach to Efficiently Explore Automotive Data—0
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning—0
An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies—0
Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain—0
Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsCode0
LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded SystemsCode0
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies—0
Autoregressive models for biomedical signal processing—0
Obstacle-Transformer: A Trajectory Prediction Network Based on Surrounding Trajectories—0
Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection—0
Context-aware Domain Adaptation for Time Series Anomaly Detection—0
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit—0
Smart Metro: Deep Learning Approaches to Forecasting the MRT Line 3 Ridership—0
Why Topological Data Analysis Detects Financial Bubbles?—0
Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series—0
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management—0
Video alignment using unsupervised learning of local and global features—0
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series—0
Acoustic absement in detail: Quantifying acoustic differences across time-series representations of speech dataCode0
Generative modeling for time series via Schrödinger bridge—0
Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios—0
Financial Time Series Forecasting using CNN and Transformer—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Time-frequency co-movements between commodities and economic policy uncertainty across different crises—0
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce RecommendationCode0
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction—0
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning—0
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning—0
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization ApproachCode0
Embarrassingly Simple MixUp for Time-series—0
OFTER: An Online Pipeline for Time Series Forecasting—0
Adaptive Student's t-distribution with method of moments moving estimator for nonstationary time series—0
EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles—0
SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets—0
Bitcoin: A life in crises—0
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting—0
Multi-Channel Time-Series Person and Soft-Biometric Identification—0
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification—0
Astronomical image time series classification using CONVolutional attENTION (ConvEntion)Code0
Conformal Prediction Regions for Time Series using Linear Complementarity ProgrammingCode0
Artificial neural networks and time series of counts: A class of nonlinear INGARCH models—0
SoftED: Metrics for Soft Evaluation of Time Series Event DetectionCode0
The Tech Decoupling—0
Market-Based "Actual" Returns of Investors—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification—0
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn CalculationCode0
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI—0
Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces—0
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning—0
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