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Showing 1901–1950 of 9169 papers

TitleStatusHype
Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense—0
A Pseudo Markov-Chain Model and Time-Elapsed Measures of Mobility from Collective Data—0
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting—0
On the importance of structural identifiability for machine learning with partially observed dynamical systemsCode0
XMTC: Explainable Early Classification of Multivariate Time Series in Reach-to-Grasp Hand Kinematics—0
PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature DataCode0
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data—0
Panel Data Estimation and Inference: Homogeneity versus Heterogeneity—0
Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures ApproachCode0
TopoCL: Topological Contrastive Learning for Time Series—0
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting—0
Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning—0
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications—0
LAST SToP For Modeling Asynchronous Time Series—0
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations—0
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting—0
Forecasting VIX using interpretable Kolmogorov-Arnold networks—0
Position: Empowering Time Series Reasoning with Multimodal LLMs—0
TrojanTime: Backdoor Attacks on Time Series Classification—0
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data—0
Using Causality for Enhanced Prediction of Web Traffic Time Series—0
Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions—0
Examining the Impact of Income Inequality and Gender on School Completion in Malaysia: A Machine Learning Approach Utilizing Malaysia's Public Sector Open Data—0
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting—0
Self-Supervised Cross-Modal Text-Image Time Series Retrieval in Remote Sensing—0
Learning Hamiltonian Dynamics with Bayesian Data Assimilation—0
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly DetectionCode0
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions—0
Large Language Models are Few-shot Multivariate Time Series Classifiers—0
A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series—0
CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenanceCode0
NF-MKV Net: A Constraint-Preserving Neural Network Approach to Solving Mean-Field Games Equilibrium—0
Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter—0
Transformer Based Time-Series Forecasting for Stock—0
KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units—0
LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience—0
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation—0
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized ModelsCode0
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback—0
Tailored Forecasting from Short Time Series via Meta-learning—0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
Deterministic Reservoir Computing for Chaotic Time Series Prediction—0
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data—0
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study—0
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining—0
Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models—0
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios—0
Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments—0
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression—0
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality—0
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