iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges
Summary: Introduces iEDeaL: a compact SC neural architecture operating on raw EEG time series plus SaSu, a loss that directly optimizes Fβ to handle extreme class imbalance in interictal epileptiform discharge (IED) detection. Shows improved accuracy and efficiency on two real-world imbalanced IED datasets versus spectrogram- and DL-based baselines. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qitong Wang
- 2. Stephen Whitmarsh
- 3. Vincent Navarro
- 4. Themis Palpanas
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,079 | Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series | 2023 | VLDB | 6.4663636e-05 |
| 7,095 | Dumpy: A Compact and Adaptive Index for Large Data Series Collections | 2023 | SIGMOD | 4.8350023e-05 |
| 9,206 | Odyssey: A Journey in the Land of Distributed Data Series Similarity Search | 2023 | VLDB | 4.373492e-05 |
| 9,230 | LeaFi: Data Series Indexes on Steroids with Learned Filters | 2025 | SIGMOD | 4.3690661e-05 |
| 10,601 | Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching | 2025 | VLDB | 4.1945683e-05 |
| 13,175 | ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series | 2024 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,825 | Smile: A System to Support Machine Learning on EEG Data at Scale | 2019 | VLDB | 8.0563426e-05 |
| 5,738 | Hercules Against Data Series Similarity Search | 2022 | VLDB | 5.3478528e-05 |
| 7,095 | Dumpy: A Compact and Adaptive Index for Large Data Series Collections | 2023 | SIGMOD | 4.8350023e-05 |
| 9,331 | dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | 2022 | SIGMOD | 4.3556432e-05 |
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