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- 2024
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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
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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
Privacy-preserving edge federated learning for intelligent mobile-health 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
- 2023
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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
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
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
M2D2 : Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
(
- Contribution to journal › Article
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Mark
DP-ACT: Decentralized Privacy-Preserving Asymmetric Digital Contact Tracing
2023) 24th Privacy Enhancing Technologies Symposium, PETS 2024(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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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
- 2022
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Mark
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices
(
- Contribution to journal › Article
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Mark
A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection
(
- Contribution to journal › Article
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Mark
Personalized Real-Time Federated Learning for Epileptic Seizure Detection
(
- Contribution to journal › Article
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Mark
DynSus : Dynamic sustainability assessment in groundwater remediation practice
(
- Contribution to journal › Article
- 2021
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Mark
Breaking silos to guarantee control stability with communication over ethernet TSN
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- Contribution to journal › Article
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Mark
Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors
(
- Contribution to journal › Article
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Mark
Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices
2021) 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021 In 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Secure Cloud Control Using Verifiable Computation
2021) 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021 In 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
EpilepsyGAN : Synthetic Epileptic Brain Activities with Privacy Preservation
(
- Contribution to journal › Article