AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks

Fiandrino, Claudio; Gómez, Eloy Pérez; Fernández Pérez, Pablo; Mohammadalizadeh, Hossein; Fiore, Marco; Widmer, Joerg

doi:10.1109/infocom52122.2024.10621134

IEEE INFOCOM 2024 - IEEE Conference on Computer Communications 2024

DOI: 10.1109/infocom52122.2024.10621134

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AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks

Claudio Fiandrino,

Eloy Pérez Gómez,

Pablo Fernández Pérez

et al.

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Cited by 3 publications

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An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN

Pérez,

Fiandrino,

Fiore

et al. 2024

IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN

Pérez,

Fiandrino,

Fiore

et al. 2024

IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Dissecting Advanced Time Series Forecasting Models with AICHRONOLENS

Perez,

Fiandrino,

Fiore

et al. 2024

IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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On the Predictability of Fine-Grained Cellular Network Throughput Using Machine Learning Models

Basit,

Dinh,

Khan

et al. 2024

2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

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AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks

Cited by 3 publications

References 46 publications

An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN

An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN

Dissecting Advanced Time Series Forecasting Models with AICHRONOLENS

On the Predictability of Fine-Grained Cellular Network Throughput Using Machine Learning Models

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