Cover Image

PATE: Proximity-Aware Time series anomaly Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghorbani, Ramin, Reinders, Marcel J. T., Tax, David M. J.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection
by: Ghorbani, Ramin, et al.
Published: (2024)

Improving performance of heart rate time series classification by grouping subjects
by: Beekhuizen, Michael, et al.
Published: (2023)

Learning solutions of parametric Navier-Stokes with physics-informed neural networks
by: Naderibeni, M., et al.
Published: (2024)

Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures
by: Kato, Yuko, et al.
Published: (2024)

The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
by: Ganev, Georgi, et al.
Published: (2024)

Federated K-means Clustering
by: Garst, Swier, et al.
Published: (2023)

PATE-TabTransGAN: Differentially Private Synthetic Tabular Data Generation via Transformer-Based Student Discrimination
by: Youssef, M., et al.
Published: (2026)

Hot PATE: Private Aggregation of Distributions for Diverse Task
by: Cohen, Edith, et al.
Published: (2023)

Neural network relief: a pruning algorithm based on neural activity
by: Dekhovich, Aleksandr, et al.
Published: (2021)

Neural Random Forest Imitation
by: Reinders, Christoph, et al.
Published: (2019)

PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
by: Jiang, Zepeng, et al.
Published: (2024)

Learning From Scenarios for Stochastic Repairable Scheduling
by: Houten, Kim van den, et al.
Published: (2023)

Forest Proximities for Time Series
by: Shaw, Ben, et al.
Published: (2024)

Distribution-Aware Conformal Prediction: A Framework for generating efficient prediction intervals for time series
by: Schweizer, Daniel, et al.
Published: (2026)

SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion
by: Barkley, Brett, et al.
Published: (2025)

Active learning with biased non-response to label requests
by: Robinson, Thomas, et al.
Published: (2023)

Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
by: Garriga, Tomàs, et al.
Published: (2026)

dtaianomaly: A Python library for time series anomaly detection
by: Carpentier, Louis, et al.
Published: (2025)

On the Convergence of Multicalibration Gradient Boosting
by: Haimovich, Daniel, et al.
Published: (2026)

Fairness Aware Reinforcement Learning via Proximal Policy Optimization
by: La Malfa, Gabriele, et al.
Published: (2025)

Large language models can be zero-shot anomaly detectors for time series?
by: Alnegheimish, Sarah, et al.
Published: (2024)

Towards Unbiased Evaluation of Time-series Anomaly Detector
by: Bhattacharya, Debarpan, et al.
Published: (2024)

Towards efficient deep autoencoders for multivariate time series anomaly detection
by: Pietroń, Marcin, et al.
Published: (2024)

ECATS: Explainable-by-design concept-based anomaly detection for time series
by: Ferfoglia, Irene, et al.
Published: (2024)

OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest
by: Jing, Yuhan, et al.
Published: (2025)

On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
by: Haimovich, Daniel, et al.
Published: (2023)

Localized Uncertainty Quantification in Random Forests via Proximities
by: Rhodes, Jake S., et al.
Published: (2025)

Pi-transformer: A prior-informed dual-attention model for multivariate time-series anomaly detection
by: Maleki, Sepehr, et al.
Published: (2025)

Decomposition-based multi-scale transformer framework for time series anomaly detection
by: Zhang, Wenxin, et al.
Published: (2025)

LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
by: Niu, Wenzhe, et al.
Published: (2025)

SEAFormer: A Spatial Proximity and Edge-Aware Transformer for Real-World Vehicle Routing Problems
by: Basharzad, Saeed Nasehi, et al.
Published: (2026)

Eval-PPO: Building an Efficient Threat Evaluator Using Proximal Policy Optimization
by: Sun, Wuzhou, et al.
Published: (2025)

Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods
by: Mejri, Nesryne, et al.
Published: (2022)

Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
by: Hespeler, Steven C., et al.
Published: (2025)

Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
by: Behrouz, Ali, et al.
Published: (2024)

Proximal Iteration for Nonlinear Adaptive Lasso
by: Wycoff, Nathan, et al.
Published: (2024)

Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification
by: Rhodes, Jake S., et al.
Published: (2025)

Time series saliency maps: explaining models across multiple domains
by: Kechris, Christodoulos, et al.
Published: (2025)

The Generalized Proximity Forest
by: Shaw, Ben, et al.
Published: (2025)

Monotonic anomaly detection
by: Lenz, Oliver Urs, et al.
Published: (2024)