ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
Summary: ADF: subsequence-based framework that converts long, variable, low-frequency smart‑meter consumption series into manageable inputs for appliance presence/absence detection. TransApp: a Transformer time‑series classifier with self‑supervised pretraining that outperforms prior SOTA on two large real datasets. (summarized by gpt-5-mini on Feb 09 2026)
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| 4,079 | Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series | 2023 | VLDB | 6.4663636e-05 |
| 9,247 | iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges | 2023 | VLDB | 4.3690661e-05 |
| 9,331 | dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | 2022 | SIGMOD | 4.3556432e-05 |
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