ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification | Paper Citation Record

Observation 0e12797f-adab-4062-8d6b-1faf8e099fb7 · outbound

This paper cites A robust framework for evaluation of unsupervised time-series anomaly detec- tion,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification A robust framework for evaluation of unsupervised time-series anomaly detec- tion,

Reference 1

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Observation 5881cdcf-48da-495e-b6eb-d2dd12eb051f · outbound

This paper cites A review and evaluation of elastic distance functions for time series clustering,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification A review and evaluation of elastic distance functions for time series clustering,

Reference 2

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Observation b9c458d5-18f8-4686-a553-6ff67883c46f · outbound

This paper cites Deep learning for time series classification: a review,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Deep learning for time series classification: a review,

Reference 3

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Observation 5ab9368f-ea0b-4b50-ae84-fef6964a5bd4 · outbound

This paper cites Rigorous evaluation of machine learning-based intrusion detection against adversarial attacks,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Rigorous evaluation of machine learning-based intrusion detection against adversarial attacks,

Reference 4

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Observation edf7faad-3d3d-41d2-9ee1-4527ff81976a · outbound

This paper cites Cyberattack event logs classification using deep learning with semantic feature analysis,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Cyberattack event logs classification using deep learning with semantic feature analysis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.584881Z

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Observation 97a00771-db3b-4575-ae2c-831528cf3f0e · outbound

This paper cites Towards accurate run-time hardware-assisted stealthy malware detection: a lightweight, yet effective time series cnn-based approach,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Towards accurate run-time hardware-assisted stealthy malware detection: a lightweight, yet effective time series cnn-based approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.572891Z

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Observation 3117a67d-b03b-45ad-b140-7914a6a5320e · outbound

This paper cites Multiple classification of eeg signals and epileptic seizure diagnosis with combined deep learning,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Multiple classification of eeg signals and epileptic seizure diagnosis with combined deep learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.559497Z

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Observation 99a16345-f039-42e0-9bcf-1776678b3293 · outbound

This paper cites Convolutional neural networks for agricul- tural land use classification from sentinel-2 image time series,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Convolutional neural networks for agricul- tural land use classification from sentinel-2 image time series,

Reference 8

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Observation f3e261c7-e8a5-43a7-99bf-be9960de6d36 · outbound

This paper cites Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.535224Z

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Observation 2b6df58b-df8e-4cfb-b7fe-3d5b8d859eb3 · outbound

This paper cites Multi-Scale RCNN Model for Financial Time-series Classification.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Multi-Scale RCNN Model for Financial Time-series Classification

Reference 10

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Observation 99eceba0-df0a-4987-8eb8-a9aa4bce29c4 · outbound

This paper cites Learning spectro-temporal features with 3D CNNs for speech emotion recognition.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Learning spectro-temporal features with 3D CNNs for speech emotion recognition

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:57:05.074195Z

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Observation 65d2f81f-c1b9-4576-8962-039581692e15 · outbound

This paper cites A survey on machine learning for recurring concept drifting data streams,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification A survey on machine learning for recurring concept drifting data streams,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.523592Z

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Observation 0269ac8b-3933-4f88-86b9-9ebc33fab4f0 · outbound

This paper cites Rocket: exceptionally fast and accurate time series classification using random convolutional kernels,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Rocket: exceptionally fast and accurate time series classification using random convolutional kernels,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.512105Z

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Observation 43c5209b-4061-467f-bf6b-aae0da46a727 · outbound

This paper cites Adversarial-hd: Hyperdimen- sional computing adversarial attack design for secure industrial internet of things,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Adversarial-hd: Hyperdimen- sional computing adversarial attack design for secure industrial internet of things,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.500137Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b066d8bc-d6d5-4dc5-b62f-8efee84d3726 · outbound

This paper cites ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:57:05.055027Z

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Observation 1d09540e-d57f-4322-9830-cb0e483f6b60 · outbound

This paper cites Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples

Reference 16

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Observation a4edf887-538f-4622-99a3-bbb252736569 · outbound

This paper cites Adversarial attacks on time series,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Adversarial attacks on time series,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.487439Z

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Observation b91406b4-9da4-4f56-a4c9-c3173b227703 · outbound

This paper cites How deep learning sees the world: A survey on adversarial attacks & defenses,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification How deep learning sees the world: A survey on adversarial attacks & defenses,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.473428Z

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Observation beb3b578-38af-467e-93c6-3a0e7673c847 · outbound

This paper cites Explainable multivariate time series classification: a deep neural network which learns to attend to important variables as well as time intervals,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Explainable multivariate time series classification: a deep neural network which learns to attend to important variables as well as time intervals,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.460374Z

Source-reported events for the cited work

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Observation e80035cf-eebf-42d8-99a2-95adb3282d03 · outbound

This paper cites Higher-order Cross-structural Embedding Model for Time Series Analysis.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Higher-order Cross-structural Embedding Model for Time Series Analysis

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:57:05.016346Z

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Observation 1749364c-6c4e-4779-a842-810b61c1f9f2 · outbound

This paper cites Exploiting multi-channels deep convolutional neural networks for multivariate time series classification,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Exploiting multi-channels deep convolutional neural networks for multivariate time series classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.446891Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8116449e-03e7-4ecb-b747-c5a1c6b516f6 · outbound

This paper cites Fast classification of univariate and multivariate time series through shapelet discovery,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Fast classification of univariate and multivariate time series through shapelet discovery,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.432095Z

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Observation 26f67f39-1ef4-46cb-bcdc-855b70b20283 · outbound

This paper cites Benchmarking Multivariate Time Series Classification Algorithms.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Benchmarking Multivariate Time Series Classification Algorithms

Reference 23

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This paper cites Multivariate times series classification through an interpretable representation,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Multivariate times series classification through an interpretable representation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.416601Z

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Observation f03b141f-2f1d-4f4a-b4ac-210c2759cd8c · outbound

This paper cites Deep learning for time series classification: a review,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Deep learning for time series classification: a review,

Reference 25

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This paper cites Validation and model selection: Three similarity measures compared,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Validation and model selection: Three similarity measures compared,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.397097Z

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Observation 9be73e40-6295-4937-8099-5c46af96cbaf · outbound

This paper cites A Test of Relative Similarity For Model Selection in Generative Models.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification A Test of Relative Similarity For Model Selection in Generative Models

Reference 27

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ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Multivariate sample similarity measure for feature selection with a resemblance model,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.384901Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d24f0c13-ed5d-4c12-aa89-697972da083a · outbound

This paper cites The wasserstein-fourier distance for stationary time series,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification The wasserstein-fourier distance for stationary time series,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.372592Z

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Observation eb3e8748-df23-476b-9242-f4bae6eb349d · outbound

This paper cites Dynamic time warping for time series curve similarity,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Dynamic time warping for time series curve similarity,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.359447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da2acb24-9269-4fcd-ad46-694e654a17e8 · outbound

This paper cites Adversarial Attacks on Multivariate Time Series.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Adversarial Attacks on Multivariate Time Series

Reference 31

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Observation e51754d5-023c-4af3-af2c-08c04c49e418 · outbound

This paper cites On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense

Reference 32

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Observation a00ccf38-9046-4d27-971f-af76f773019a · outbound

This paper cites Benchmarking adversarial attacks and defenses for time-series data,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Benchmarking adversarial attacks and defenses for time-series data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.346295Z

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Observation 50e3796b-5c63-4e1c-aad7-ccc505593227 · outbound

This paper cites Stewart: Stacking ensemble for white-box adversarial attacks towards more resilient data-driven predictive maintenance,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Stewart: Stacking ensemble for white-box adversarial attacks towards more resilient data-driven predictive maintenance,

Reference 34

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Observation bc9b9353-5fda-4092-8e0e-9edd6d8a1157 · outbound

This paper cites On detecting adversarial perturbations,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification On detecting adversarial perturbations,

Reference 35

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Observation 7acdb83f-4314-4648-b477-8ac5b0fdf742 · outbound

This paper cites Feature squeezing: Detecting adversarial examples in deep neural networks,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Feature squeezing: Detecting adversarial examples in deep neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.303527Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c292f25b-54b1-4217-8e3b-87886a05b427 · outbound

This paper cites A simple unified framework for detecting out-of- distribution samples and adversarial attacks,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification A simple unified framework for detecting out-of- distribution samples and adversarial attacks,

Reference 37

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b74b88a0-b046-40a8-8d99-a556c0655dbd · outbound

This paper cites Radar: Recurrent autoencoder based detector for adversarial examples on temporal ehr,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Radar: Recurrent autoencoder based detector for adversarial examples on temporal ehr,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.277238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7fbbe907-1e05-480e-ae99-278b8ee76de1 · outbound

This paper cites From pixels to trajectory: Universal adversarial example detection via temporal imprints,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification From pixels to trajectory: Universal adversarial example detection via temporal imprints,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.257273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54ff12ce-5a6b-4e9b-bdfd-2ca8f00be8b2 · outbound

This paper cites Time series classification from scratch with deep neural networks: A strong baseline,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Time series classification from scratch with deep neural networks: A strong baseline,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.243328Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af743962-4f8e-4664-b1ac-344cbff27527 · outbound

This paper cites Lstm fully convolutional networks for time series classification,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Lstm fully convolutional networks for time series classification,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.229607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 766864b9-f740-4d99-a302-d88fabb15b26 · outbound

This paper cites Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification

Reference 42

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Source-reported events for the cited work

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Observation dfa6b912-6983-4554-a7bf-296ca8826246 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 43

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Source-reported events for the cited work

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Observation 2c663833-453f-4e31-bdcc-61e352efd62b · outbound

This paper cites Multivariate lstm-fcns for time series classification,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Multivariate lstm-fcns for time series classification,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.211618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b957871a-ff14-45ca-87f9-4b746dc0bcc9 · outbound

This paper cites Inceptiontime: Finding alexnet for time series classification,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Inceptiontime: Finding alexnet for time series classification,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.197327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8bcf35d-9cb7-4ca2-8914-40c92af253a5 · outbound

This paper cites Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.182676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0bde89ca-735a-41d4-a77c-8416a42f36a7 · outbound

This paper cites Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification

Reference 47

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Source-reported events for the cited work

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Observation 5430fca7-699d-49dd-af22-3de495d62126 · outbound

This paper cites Xcm: An explainable convolutional neural network for multivariate time series classification,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Xcm: An explainable convolutional neural network for multivariate time series classification,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.167264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e36fb3b-a448-43ea-a60a-a416f6481ccb · outbound

This paper cites Towards a Novel Perspective on Adversarial Examples Driven by Frequency.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Towards a Novel Perspective on Adversarial Examples Driven by Frequency

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:57:04.889950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e0664da-ed22-49d2-8ede-92b60cd4fa9a · outbound

This paper cites A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T16:57:04.812320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e70084-d518-45bc-bf7b-3b319c30d925 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Xgboost: A scalable tree boosting system,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.153034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2db0a34c-7658-4ed8-a4f3-7619609e0c74 · outbound

This paper cites Uea multivariate time series classification repository,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Uea multivariate time series classification repository,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.141211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 953b46a7-7548-43d7-8b1e-5ed7a963ee6d · outbound

This paper cites The great multivariate time series classification bake off: A review and experimental evaluation of recent algorithmic advances,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification The great multivariate time series classification bake off: A review and experimental evaluation of recent algorithmic advances,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.128669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b8094de-7514-4591-864c-8429b8a59314 · outbound

This paper cites A global averaging method for dynamic time warping, with applications to clustering,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification A global averaging method for dynamic time warping, with applications to clustering,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T16:57:04.828862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf5bd0a-50da-41d2-be2f-80026f9b6e18 · outbound

This paper cites Wasserstein discriminant analysis,.

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification Wasserstein discriminant analysis,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:05.107425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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