Alexandros T. Tzallas

Cognitive Neuroscience · 2007–2009

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 21 citations into it; #3,741 of 10,852 by trust here, #5,677 by citations
• Artificial Intelligence — 14 citations into it
• Signal Processing — 12 citations into it; #3,140 of 7,572 by trust here, #3,309 by citations

Whom Alexandros T. Tzallas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Abdulhamit Subasi
2. Inan Güler
3. Nihal Fatma Güler
4. N. Kannathal
5. Ralph G. Andrzejak
6. Elif Derya Übeyli
7. V. Srinivasan
8. Hojjat Adeli
9. Florian Mormann
10. Andrew B. Gardner

Who trusts Alexandros T. Tzallas overall

1. Poomipat Boonyakitanont
2. Kaveh Samiee
3. Usha R. Acharya
4. Mohammad Khubeb Siddiqui
5. Apiwat Lek-uthai
6. Krisnachai Chomtho
7. Peter Kovacs
8. Ram Bilas Pachori
9. Rubén Morales-Menéndez
10. Jitkomut Songsiri

Papers from Alexandros T. Tzallas's perspective

Ordered by how strongly the researchers Alexandros T. Tzallas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. (Physical review. E, Statistical, nonlinear, and soft matter physics)
2. Analysis of EEG records in an epileptic patient using wavelet transform. (Journal of Neuroscience Methods)
3. EEG signal classification using wavelet feature extraction and a mixture of expert model (Expert systems with applications)
4. Classification of EEG signals using neural network and logistic regression (Comput. Methods Programs Biomed.)
5. Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features (Journal of medical systems)
6. A neural-network-based detection of epilepsy (Neurological Research)
7. Recurrent neural networks employing Lyapunov exponents for EEG signals classification (Expert systems with applications)
8. Neural Networks: A Comprehensive Foundation
9. Entropies for detection of epilepsy in EEG (Comput. Methods Programs Biomed.)
10. Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks (IEEE Transactions on Information Technology in Biomedicine)

Their papers

• Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis (2009) — 769 citations
• Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks (2007) — 485 citations