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Showing 2401–2450 of 9169 papers

TitleStatusHype
Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market dataCode0
Volatility Forecasting in Global Financial Markets Using TimeMixer—0
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting—0
On the Power of Decision Trees in Auto-Regressive Language Modeling—0
Tail Risk Analysis for Financial Time Series—0
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series—0
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model—0
Using dynamic loss weighting to boost improvements in forecast stabilityCode0
Causality-based Subject and Task Fingerprints using fMRI Time-series Data—0
A novel application of Shapley values for large multidimensional time-series data: Applying explainable AI to a DNA profile classification neural network—0
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors—0
Method for Evaluating the Number of Signal Sources and Application to Non-invasive Brain-computer Interface—0
Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction—0
Optimal starting point for time series forecastingCode0
The Credibility Transformer—0
Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data—0
Sparsity, Regularization and Causality in Agricultural Yield: The Case of Paddy Rice in Peru—0
EMIT- Event-Based Masked Auto Encoding for Irregular Time SeriesCode0
Transfer learning for financial data predictions: a systematic review—0
Quantifying wave propagation in a chain of FitzHugh-Nagumo neurons—0
Generative AI-driven forecasting of oil production—0
Transformer based time series prediction of the maximum power point for solar photovoltaic cells—0
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series ForecastingCode0
Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting—0
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICUCode0
TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models—0
Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online—0
Identifying Elasticities in Autocorrelated Time Series Using Causal GraphsCode0
MotifDisco: Motif Causal Discovery For Time Series Motifs—0
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast—0
Implicit Dynamical Flow Fusion (IDFF) for Generative ModelingCode0
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining—0
Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive LearningCode0
Test Time Learning for Time Series Forecasting—0
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuningCode0
The FIX Benchmark: Extracting Features Interpretable to eXpertsCode0
Tackling fluffy clouds: field boundaries detection using time series of S2 and/or S1 imageryCode0
Exploring Representations and Interventions in Time Series Foundation Models—0
Towards Unbiased Evaluation of Time-series Anomaly DetectorCode0
METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance—0
Recurrent Interpolants for Probabilistic Time Series Prediction—0
Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism DetectionCode0
Fine-Tuning a Time Series Foundation Model with Wasserstein LossCode0
User-friendly Foundation Model Adapters for Multivariate Time Series Classification—0
Implicit Reasoning in Deep Time Series Forecasting—0
Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers—0
Latent mixed-effect models for high-dimensional longitudinal data—0
Towards Time Series Reasoning with LLMs—0
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models—0
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation ModelCode0
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