Treffer 1 - 20 von 2.448

1

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Dange, Afrin ; Sarawagi, Sunita
Proceedings of the 34th ACM International Conference on Information and Knowledge Management. :498-507

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2

Pre-trained Time Series Foundation Models for Traffic Flow Prediction Using Open Government Data: The case of Attica traffic OGD
Brimos, Petros ; Kalampokis, Evangelos ; Tarabanis, Konstantinos
Proceedings of the 28th Pan-Hellenic Conference on Progress in Computing and Informatics. :424-430

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3

No One-Model-Fits-All: Uncovering Spatio-Temporal Forecasting Trade-offs with Graph Neural Networks and Foundation Models
Gupta, Ragini ; Raina, Naman ; Chen, Bo ; et al.
Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. :400-406

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4

MixForecast: Mixer-Enhanced Foundation Model for Load Forecasting
Kumar, Anuj ; Saravanan, Harish Kumar ; Dwivedi, Shivam ; et al.
Proceedings of the 2nd International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things. :25-30

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5

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6

Mix-BEATS: Mixer-enhanced Basis Expansion Analysis for Load Forecasting
Kumar, Anuj ; Saravanan, Harish Kumar ; Dwivedi, Shivam ; et al.
Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. :169-176

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7

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
Shao, Chen ; Färber, Michael ; Pütz, Sebastian ; et al.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management. :6523-6527

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8

DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework
Ding, Kuiye ; Fan, Fanda ; Wang, Yao ; et al.
Proceedings of the 33rd ACM International Conference on Multimedia. :508-517

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13

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14

Benchmarking a time-series foundation model (TimeGPT) for real-world forecasting applications
Zhang, Xiao ; Sridharan, Srinath ; Zahrin, Nur Hakim Bin ; et al.
In Machine Learning with Applications March 2026 23

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15

Time Series Forecasting Using Foundation Models.
KOLASSA, STEPHAN
Foresight: The International Journal of Applied Forecasting. 2026Q1, Issue 80, p36-40. 5p.

Forecasting Generative pre-trained t... Python programming langu... Predictive tests Machine learning Applied sciences
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16

Performance Analysis of Age of Information in a Foundation Model Native Infrastructure
Picano, B. ; Fantacci, R.
IEEE Transactions on Vehicular Technology IEEE Trans. Veh. Technol. Vehicular Technology, IEEE Transactions on. 74(11):18026-18034 Nov, 2025

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17

Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting
Ali, Mahad ; Lisle, Curtis ; Moore, Patrick W. ; et al.
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2025 47th Annual International Conference of the IEEE. :1-7 Jul, 2025

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18

GridFM: A Physics-Informed Foundation Model for Multi-Task Energy Forecasting Using Real-Time NYISO Data
Ali Sayghe ; Mohammed Ahmed Mousa ; Salem Batiyah ; et al.
Energies, Vol 19, Iss 2, p 357 (2026)

foundation model time series forecasting power grid NYISO multi-task learning physics-informed neural...
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19

A Study of Foundation Models for Large-scale Time-series Forecasting
Chen, Hongjie ; Rossi, Ryan A. ; Kim, Sungchul ; et al.
2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :1255-1259 Dec, 2024

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20

TSGFM - Graph Neural Networks for Zero-Shot Time Series Forecasting in Network Monitoring
Latif-Martinez, Hamid ; Vanerio, Juan ; Casas, Pedro ; et al.
2025 21st International Conference on Network and Service Management (CNSM) Network and Service Management (CNSM), 2025 21st International Conference on. :1-9 Oct, 2025

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