:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Azib, Menouar, Renard, Benjamin, Garnier, Philippe, Génot, Vincent, André, Nicolas
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2311.15654
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accelerating Deep Learning with Fixed Time Budget
by: Khan, Muhammad Asif, et al.
Published: (2024)

A Deep Generative Model for the Simulation of Discrete Karst Networks
by: Lauzon, Dany, et al.
Published: (2025)

Curriculum Learning for Mesh-based simulations
by: Garnier, Paul, et al.
Published: (2025)

Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series
by: Renault, Aurélien, et al.
Published: (2025)

Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
by: Dou, Shaoyu, et al.
Published: (2025)

Time-EAPCR-T: A Universal Deep Learning Approach for Anomaly Detection in Industrial Equipment
by: Liang, Huajie, et al.
Published: (2025)

Better Batch for Deep Probabilistic Time Series Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2023)

Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
by: Jacob, Vincent, et al.
Published: (2025)

Cross-Modal Deep Metric Learning for Time Series Anomaly Detection
by: Li, Wei, et al.
Published: (2025)

Event-Based Contrastive Learning for Medical Time Series
by: Jeong, Hyewon, et al.
Published: (2023)

Signaling and Social Learning in Swarms of Robots
by: Cazenille, Leo, et al.
Published: (2024)

Deep Learning for Time Series Anomaly Detection: A Survey
by: Darban, Zahra Zamanzadeh, et al.
Published: (2022)

SoftED: Metrics for Soft Evaluation of Time Series Event Detection
by: Salles, Rebecca, et al.
Published: (2023)

Automatic Change-Point Detection in Time Series via Deep Learning
by: Li, Jie, et al.
Published: (2022)

Stock Volatility Prediction using Time Series and Deep Learning Approach
by: Chatterjee, Ananda, et al.
Published: (2022)

Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
by: Alves, Bruna, et al.
Published: (2026)

A Distributed ADMM-based Deep Learning Approach for Thermal Control in Multi-Zone Buildings under Demand Response Events
by: Taboga, Vincent, et al.
Published: (2023)

An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic Node Hardware
by: Ling, Tianheng, et al.
Published: (2024)

Selective Learning for Deep Time Series Forecasting
by: Fu, Yisong, et al.
Published: (2025)

A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting
by: Agyemang, Edmund F., et al.
Published: (2025)

Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation
by: Hamon, Marine, et al.
Published: (2025)

Universal Time Series Generation with Neural Controlled Differential Equations
by: Berndt, Torben, et al.
Published: (2026)

Training Transformers for Mesh-Based Simulations
by: Garnier, Paul, et al.
Published: (2025)

Robust Group Anomaly Detection for Quasi-Periodic Network Time Series
by: Yang, Kai, et al.
Published: (2025)

Mesh Based Simulations with Spatial and Temporal awareness
by: Garnier, Paul, et al.
Published: (2026)

Dueling Deep Reinforcement Learning for Financial Time Series
by: Giorgio, Bruno
Published: (2025)

Look Into the LITE in Deep Learning for Time Series Classification
by: Ismail-Fawaz, Ali, et al.
Published: (2024)

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
by: Mussard, Romain, et al.
Published: (2025)

STEB: In Search of the Best Evaluation Approach for Synthetic Time Series
by: Stenger, Michael, et al.
Published: (2025)

An Unsupervised Approach for Periodic Source Detection in Time Series
by: Demirel, Berken Utku, et al.
Published: (2024)

Graph Deep Learning for Time Series Forecasting
by: Cini, Andrea, et al.
Published: (2023)

Capture Timing-Attention of Events in Clinical Time Series
by: Li, Jia, et al.
Published: (2026)

Semi-Supervised Learning for Bilingual Lexicon Induction
by: Garnier, Paul, et al.
Published: (2024)

Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series
by: Pishchagina, Liudmila, et al.
Published: (2023)

UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction
by: Pessoa, Robson W. S., et al.
Published: (2026)

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes
by: Zhao, Hao, et al.
Published: (2025)

Multi-Stage Prototype Learning for Interpretable Time Series Classification
by: Kalisetti, Bhavesh, et al.
Published: (2021)

A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
by: Lin, Yijun, et al.
Published: (2021)

Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment
by: Garnier, Paul, et al.
Published: (2025)

Deep Learning For Time Series Analysis With Application On Human Motion
by: Ismail-Fawaz, Ali
Published: (2025)