Informática
Fakultät
École Polytechnique Fédérale de Lausanne
Lausana, SuizaPublikationen in Zusammenarbeit mit Forschern von École Polytechnique Fédérale de Lausanne (80)
2024
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An Evaluation Framework for Dynamic Thermal Management Strategies in 3D MultiProcessor System-on-Chip Co-Design
IEEE Transactions on Parallel and Distributed Systems
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CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds
IEEE Transactions on Sustainable Computing
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Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems
IEEE Transactions on Mobile Computing, Vol. 23, Núm. 5, pp. 6392-6407
2023
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A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification
Computer Methods and Programs in Biomedicine, Vol. 241
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Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems
IEEE Transactions on Computers, Vol. 72, Núm. 9, pp. 2548-2560
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An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 13, Núm. 2, pp. 489-501
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Dynamic power budget redistribution under a power cap on multi-application environments
Sustainable Computing: Informatics and Systems, Vol. 38
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Event-based sampled ECG morphology reconstruction through self-similarity
Computer Methods and Programs in Biomedicine, Vol. 240
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HackRF + GNU Radio: A software-defined radio to teach communication theory
International Journal of Electrical Engineering and Education, Vol. 60, Núm. 1, pp. 23-40
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Personalized seizure signature: An interpretable approach to false alarm reduction for long-term epileptic seizure detection
Epilepsia, Vol. 64, Núm. S4, pp. S23-S33
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X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller
Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023
2022
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A Hardware/Software Co-Design Vision for Deep Learning at the Edge
IEEE Micro, Vol. 42, Núm. 6, pp. 48-54
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Approximate zero-crossing: a new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection
Journal of neural engineering, Vol. 19, Núm. 6
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Personalized Real-Time Federated Learning for Epileptic Seizure Detection
IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 2, pp. 898-909
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Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 41, Núm. 12, pp. 5596-5609
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Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge
Micromachines, Vol. 13, Núm. 7
2021
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E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness against Memory Errors in Edge-Computing Devices
IEEE Transactions on Computers, Vol. 70, Núm. 8, pp. 1199-1212
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Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures
IEEE Transactions on Computers, Vol. 70, Núm. 12, pp. 2218-2233
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Interpreting deep learning models for epileptic seizure detection on EEG signals
Artificial Intelligence in Medicine, Vol. 117
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Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors
IEEE Transactions on Emerging Topics in Computing, Vol. 9, Núm. 4, pp. 1654-1666