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EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

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EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

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Self-Aware Machine Learning for Chronic Pathology Monitoring on Wearable Devices

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Machine learning for metallurgy V: A neural-network potential for zirconium

Exploring Heterogeneous Feature Representation for Document Layout Understanding

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Sensing Eating Events in Context: A Smartphone-Only Approach

SPAHM: the spectrum of approximated Hamiltonian matrices representations

Interpreting deep learning models for epileptic seizure detection on EEG signals

Personalized Real-Time Federated Learning for Epileptic Seizure Detection

Self-Aware Machine Learning for Chronic Pathology Monitoring on Wearable Devices

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Interpreting deep learning models for epileptic seizure detection on EEG signals

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Sensing Eating Events in Context: A Smartphone-Only Approach

Personalized Real-Time Federated Learning for Epileptic Seizure Detection

Machine learning for metallurgy V: A neural-network potential for zirconium

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Exploring Heterogeneous Feature Representation for Document Layout Understanding

SPAHM: the spectrum of approximated Hamiltonian matrices representations