Dimitrios I. Fotiadis
Artificial Intelligence · 1997–2023
A researcher in the Science corpus: 9 papers; trusts 22 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it
- Cognitive Neuroscience — 50 citations into it; #3,299 of 10,852 by trust here, #4,095 by citations
- Computer Vision and Pattern Recognition — 24 citations into it
- Signal Processing — 17 citations into it; #3,139 of 7,572 by trust here, #3,309 by citations
- Molecular Biology — 16 citations into it
- Experimental and Cognitive Psychology — 11 citations into it; #7,790 of 9,731 by trust here, #7,398 by citations
- Model Architectures — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Dimitrios I. Fotiadis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Abdulhamit Subasi
- Inan Güler
- Nihal Fatma Güler
- Roger Fletcher
- Ralph G. Andrzejak
- N. Kannathal
- Elif Derya Übeyli
- V. Srinivasan
- Ron Kohavi
- Hojjat Adeli
Who trusts Dimitrios I. Fotiadis overall
- Dongkun Zhang
- G. Em Karniadakis
- Paris Perdikaris
- Lu Lu
- Poomipat Boonyakitanont
- Sifan Wang
- Jared D. Willard
- Mohammad Amin Nabian
- Maizar Raissi
- Jens Berg
Papers from Dimitrios I. Fotiadis's perspective
Ordered by how strongly the researchers Dimitrios I. Fotiadis trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- The Nature of Statistical Learning Theory
- ImageNet classification with deep convolutional neural networks
- Analysis of EEG records in an epileptic patient using wavelet transform. (Journal of Neuroscience Methods)
- Long Short-Term Memory
- Neural Networks for Pattern Recognition
- Pattern Recognition and Machine Learning
- EEG signal classification using wavelet feature extraction and a mixture of expert model (Expert systems with applications)
- Learning to Forget: Continual Prediction with LSTM
- Classification of EEG signals using neural network and logistic regression (Comput. Methods Programs Biomed.)
Their papers
- Machine learning applications in cancer prognosis and prediction (2014) — 3,008 citations
- Derivation of Mindlin’s first and second strain gradient elastic theory via simple lattice and continuum models (2012) — 134 citations
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2023) — 491 citations
- Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes (2021) — 296 citations
- A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals (2018) — 546 citations
- Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis (2009) — 769 citations
- Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach (2008) — 346 citations
- Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks (2007) — 485 citations
- Artificial neural networks for solving ordinary and partial differential equations (1997)