L2GTX: From Local to Global Time Series Explanations | ScienceToStartup | ScienceToStartup

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References (36)

[1]

TF-LIME : Interpretation Method for Time-Series Models Based on Time–Frequency Features

2025Jiazhan Wang, Ruifeng Zhang et al.

[2]

LOMATCE: LOcal Model-Agnostic Time Series Classification Explanations

2025E. T. Mekonnen, Luca Longo et al.

[3]

A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers

Founder's Pitch

"L2GTX is a model-agnostic framework for generating global explanations in time series classification."

Time Series Analysis•Score: 4•View PDF ↗

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L2GTX: From Local to Global Time Series Explanations

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References (36)

Founder's Pitch

"L2GTX is a model-agnostic framework for generating global explanations in time series classification."

Commercial Viability Breakdown

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L2GTX: From Local to Global Time Series Explanations

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References (36)

Founder's Pitch

"L2GTX is a model-agnostic framework for generating global explanations in time series classification."

Commercial Viability Breakdown

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