Fernando Andreotti
Orcid: 0000-0001-6868-4718
According to our database1,
Fernando Andreotti
authored at least 25 papers
between 2013 and 2020.
Collaborative distances:
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Bibliography
2020
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients.
CoRR, 2020
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units.
CoRR, 2020
Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers.
CoRR, 2020
COVID-19 Patient Outcome Prediction Using Selected Features from Emergency Department Data and Feed-Forward Neural Networks.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020
2019
Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.
IEEE Trans. Biomed. Eng., 2019
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
IEEE Trans. Biomed. Eng., 2019
Low-Cost IoT Surveillance System Using Hardware-Acceleration and Convolutional Neural Networks.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019
Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
CoRR, 2018
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
CoRR, 2018
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018
Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Non-invasive Fetal ECG Signal Quality Assessment for Multichannel Heart Rate Estimation.
IEEE Trans. Biomed. Eng., 2017
Proceedings of the Computing in Cardiology, 2017
Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG.
Proceedings of the Computing in Cardiology, 2017
2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Maternal Signal Estimation by Kalman Filtering and Template Adaptation for Fetal Heart Rate Extraction.
Proceedings of the Computing in Cardiology, 2013