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- 2021
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Mark
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
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- Contribution to journal › Article
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Mark
FLoPAD-GRU : A Flexible, Low Power, Accelerated DSP for Gated Recurrent Unit Neural Network
2021) 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2021 In Proceedings - 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2021(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT
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- Contribution to journal › Article
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Mark
Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
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- Thesis › Doctoral thesis (compilation)
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Mark
Machine learning in the prediction of cancer therapy
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- Contribution to journal › Scientific review
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Mark
Accurate Indoor Positioning Based on Learned Absolute and Relative Models
2021) 2021 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks
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- Contribution to journal › Article
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Mark
Heart rate modeling and prediction using autoregressive models and deep learning
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- Contribution to journal › Article
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Mark
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
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- Contribution to journal › Article
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Mark
Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation
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- Contribution to journal › Article