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Showing 6101–6150 of 9169 papers

TitleStatusHype
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment—0
On the Initialization of Long Short-Term Memory Networks—0
On the interplay between multiscaling and stocks dependence—0
On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models—0
On the LRD of the Aggregated Traffic Flows in High-Speed Computer Networks—0
On the LRD of the Aggregated Traffic Flows in High-Speed Computer Networks—0
Improved Predictive Deep Temporal Neural Networks with Trend Filtering—0
On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models—0
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model—0
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification—0
Improved PAC-Bayesian Bounds for Linear Regression—0
On the Power of Decision Trees in Auto-Regressive Language Modeling—0
Data Augmentation in Time Series Forecasting through Inverted Framework—0
On the Regularization of Learnable Embeddings for Time Series Processing—0
Data Augmentation for Traffic Classification—0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis—0
On the short term stability of financial ARCH price processes—0
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series—0
Enhancing Peak Network Traffic Prediction via Time-Series Decomposition—0
On the statistics of scaling exponents and the Multiscaling Value at Risk—0
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection—0
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics—0
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense—0
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis—0
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors—0
On the Time Series Length for an Accurate Fractal Analysis in Network Systems—0
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction—0
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series—0
Parameter-Covariance Maximum Likelihood Estimation—0
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals—0
Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models—0
On the use of Singular Spectrum Analysis—0
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit—0
On the variability of functional connectivity and network measures in source-reconstructed EEG time-series—0
On time series clustering with k-means—0
Improved Grey System Models for Predicting Traffic Parameters—0
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey—0
On Tuning Neural ODE for Stability, Consistency and Faster Convergence—0
On when is Reservoir Computing with Cellular Automata Beneficial?—0
Improved graph-based SFA: Information preservation complements the slowness principle—0
Enhancing Time Series Forecasting via Logic-Inspired Regularization—0
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications—0
Improved Genetic Algorithm Based on Greedy and Simulated Annealing Ideas for Vascular Robot Ordering Strategy—0
Data Augmentation for Multivariate Time Series Classification: An Experimental Study—0
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs—0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
Causal Hidden Markov Model for Time Series Disease Forecasting—0
OPP-Miner: Order-preserving sequential pattern mining—0
Improved FRQI on superconducting processors and its restrictions in the NISQ era—0
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