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- 2024
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Mark
Privacy-preserving edge federated learning for intelligent mobile-health systems
(
- Contribution to journal › Article
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Mark
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems
(
- Contribution to journal › Article
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Mark
Interpretable machine learning for predicting the fate and transport of pentachlorophenol in groundwater
(
- Contribution to journal › Article
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Mark
VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees
2024) 41st International Conference on Machine Learning, ICML 2024 In Proceedings of Machine Learning Research 235. p.2846-2856(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
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Mark
Lightweight Machine Learning for Seizure Detection on Wearable Devices
2023) IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
SafeDeep: A Scalable Robustness Verification Framework for Deep Neural Networks
2023) IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2023(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
2023) 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2023(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
M2D2 : Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
(
- Contribution to journal › Article
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Mark
Personalized seizure signature : An interpretable approach to false alarm reduction for long-term epileptic seizure detection
(
- Contribution to journal › Article
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Mark
Personalized Seizure Detection Using Spiking Neural Networks
2023) 2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding