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2023

Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 21, 2022Wei Liu, Linsey Pang, editors, Volume 3375 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]

2022

Forecasting Multivariate Time Series of the Magnetic Field Parameters of the Solar EventsKhaznah Alshammari, Shah Muhammad Hamdi, Ali Ahsan Muhummad Muzaheed, Soukaina Filali Boubrahimi. amlts 2023: [doi]

Multivariate Time Series-based Solar Flare Prediction by Functional Network Embedding and Sequence ModelingShah Muhammad Hamdi, Abu Fuad Ahmad, Soukaina Filali Boubrahimi. amlts 2023: [doi]

GreenEyes: An Air Quality Evaluating Model based on WaveNetKan Huang, Kai Zhang, Ming Liu. amlts 2023: [doi]

On the Inductive Bias Transfer with Knowledge Distillation for Real-World DataByeong Tak Leei, Yong-Yeon Jo, Joon-myoung Kwon. amlts 2023: [doi]

Machine Learning Methods for Equity Time Series Forecasting: A CompendiumAlberto Matuozzo, Paul D. Yoo, Alessandro Provett, Maria H. Kim. amlts 2023: [doi]

Real-time Anomaly Detection for Multivariate Data StreamsKenneth Odoh. amlts 2023: [doi]

Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly DetectionYuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang 0007. amlts 2023: [doi]

Time Series Anomaly Detection in Smart Homes: A Deep Learning ApproachSomayeh Zamani, Hamed Talebi, Gunnar Stevens. amlts 2023: [doi]

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