Andreas Tzavelis
Cardiology and Cardiovascular Medicine · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cardiology and Cardiovascular Medicine — 17 citations into it
- Biomedical Engineering — 10 citations into it
- Cognitive Neuroscience — 10 citations into it
Whom Andreas Tzavelis trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Özal Yıldırım (in Cognitive Neuroscience)
Papers from Andreas Tzavelis's perspective
Ordered by how strongly the researchers Andreas Tzavelis trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Learning
- SMOTE: Synthetic Minority Over-sampling Technique
- The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
- From Feedforward to Recurrent LSTM Neural Networks for Language Modeling
- The impact of the MIT-BIH Arrhythmia Database (IEEE Engineering in Medicine and Biology Magazine)
- Clustering ECG complexes using Hermite functions and self-organizing maps (IEEE Transactions on Biomedical Engineering)
- Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients (IEEE Transactions on Systems, Man & Cybernetics. Systems)
- Anomaly detection in ECG time signals via deep long short-term memory networks (International Conference on Data Science and Advanced Analytics)
- A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification (Comput. Biol. Medicine)