Fernando Andreotti

26 papers Misc 1Journal 10Unranked 15

Year	Rank	Type	Title / Venue / Authors
2020	—	`conf`	COVID-19 Patient Outcome Prediction Using Selected Features from Emergency Department Data and Feed-Forward Neural Networks. MobiHealth Sophie Peacock, Mattia Cinelli, Frank S. Heldt, Lachlan McLachlan, Marcela P. Vizcaychipi, Alex McCarthy, Nadezda Lipunova, Robert A. Fletcher, Anne Hancock, Robert Dürichen, Fernando Andreotti, Rabia T. Khan
2020	J	`jnl`	Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients. CoRR Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia T. Khan, Benjamin Irving
2020	J	`jnl`	Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. CoRR Oliver Carr, Fernando Andreotti, Kate E. A. Saunders, Niclas Palmius, Guy M. Goodwin, Maarten De Vos
2020	J	`jnl`	Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units. CoRR Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous, Ming Li, Avelino Javer, Oliver Carr, Stojan Jovanovic, Nadezda Lipunova, Benjamin Irving, Rabia T. Khan, Robert Dürichen
2020	J	`jnl`	Remote health monitoring in the time of COVID-19. CoRR Joachim A. Behar, Chengyu Liu, Kenta Tsutsui, Valentina D. A. Corino, Janmajay Singh, Marco A. F. Pimentel, Walter Karlen, Philip Warrick, Sebastian Zaunseder, Fernando Andreotti, Maxim Osipov, Patrick E. McSharry, Kevin Kotzen, Chandan K. Karmakar, Gari D. Clifford
2019	Misc	`conf`	Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones. ICASSP John Prince, Fernando Andreotti, Maarten De Vos
2019	J	`jnl`	Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Trans. Biomed. Eng. Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2019	—	`conf`	Low-Cost IoT Surveillance System Using Hardware-Acceleration and Convolutional Neural Networks. WF-IoT Epaminondas S. Lage, Rodolfo L. Santos, Sandro M. T. Junior, Fernando Andreotti
2019	J	`jnl`	Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data. IEEE Trans. Biomed. Eng. John Prince, Fernando Andreotti, Maarten De Vos
2018	—	`conf`	Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. EMBC Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	—	`conf`	Automating the Detection of REM Sleep Behaviour Disorder. EMBC Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
2018	—	`conf`	DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. EMBC Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	J	`jnl`	Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis. CoRR Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
2018	J	`jnl`	Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. CoRR Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	—	`conf`	Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. EMBC Fernando Andreotti, Huy Phan, Navin Cooray, Christine Lo, Michele T. M. Hu, Maarten De Vos
2018	J	`jnl`	SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. CoRR Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	—	`conf`	Visualising convolutional neural network decisions in automated sleep scoring. AIH@IJCAI Fernando Andreotti, Huy Phan, Maarten De Vos
2017	—	`conf`	Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. CinC Fernando Andreotti, Oliver Carr, Marco A. F. Pimentel, Adam Mahdi, Maarten De Vos
2017	—	`conf`	Linking Changes in Heart Rate Variability to Mood Changes in Daily Life. CinC Oliver Carr, Fernando Andreotti, Kate Saunders, Amy C. Bilderbeck, Guy M. Goodwin, Maarten De Vos
2017	J	`jnl`	Non-invasive Fetal ECG Signal Quality Assessment for Multichannel Heart Rate Estimation. IEEE Trans. Biomed. Eng. Fernando Andreotti, Felix Gräßer, Hagen Malberg, Sebastian Zaunseder
2015	—	`conf`	Assessment of source separation techniques to extract vital parameters from videos. EUSIPCO Daniel Wedekind, Alexander Trumpp, Fernando Andreotti, Frederik Gaetjen, Stefan Rasche, Klaus Matschke, Hagen Malberg, Sebastian Zaunseder
2014	—	`conf`	A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. CinC Joachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford
2014	—	`conf`	Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform. CinC Fernando Andreotti, Joachim Behar, Julien Oster, Gari D. Clifford, Hagen Malberg, Sebastian Zaunseder
2014	—	`conf`	R- Peak Estimation using Multimodal Lead Switching. CinC Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster
2014	—	`conf`	fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings. CinC Mohsan S. Alvi, Fernando Andreotti, Julien Oster, Sebastian Zaunseder, Gari D. Clifford, Joachim Behar
2013	—	`conf`	Maternal Signal Estimation by Kalman Filtering and Template Adaptation for Fetal Heart Rate Extraction. CinC Fernando Andreotti, Maik Riedl, Tilo Himmelsbach, Daniel Wedekind, Sebastian Zaunseder, Niels Wessel, Hagen Malberg