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Appstrument - A Unified App Instrumentation and Automated Playback Framework for Testing Mobile Applications., , and . MobiQuitous, volume 131 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 474-486. Springer, (2013)Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series., , , , , , and . CoRR, (2024)AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data., , , , , , , , , and 4 other author(s). CoRR, (2023)TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting., , , , and . KDD, page 459-469. ACM, (2023)AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data., , , , , , , , , and 4 other author(s). AAAI, page 22962-22968. AAAI Press, (2024)Distributed Incremental Machine Learning for Big Time Series Data., , , , , , and . IEEE Big Data, page 2356-2363. IEEE, (2022)Attention based Multi-Modal New Product Sales Time-series Forecasting., , , , , and . KDD, page 3110-3118. ACM, (2020)Interest flooding reduction in Content Centric Networks., and . HPSR, page 205-210. IEEE, (2013)Tell Me More: Digital Eyes to the Physical World for Early Childhood Learning., , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2017)Hierarchy-guided Model Selection for Time Series Forecasting., , , , , , , , and . CoRR, (2022)