Yasin Temel
Cognitive Neuroscience · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 14 citations into it
- Artificial Intelligence — 6 citations into it
- Signal Processing — 5 citations into it
Whom Yasin Temel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yasin Temel's perspective
Ordered by how strongly the researchers Yasin Temel trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Visualizing and Understanding Convolutional Networks
- Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals (Comput. Biol. Medicine)
- An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach (Expert systems with applications)
- Combined neural network model employing wavelet coefficients for EEG signals classification (Digit. Signal Process.)
- Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology (Epilepsia)
- Deep Learning in Spiking Neural Networks (Neural Networks)
- Database
- Epileptic Seizure Detection Based on EEG Signals and CNN (Front. Neuroinform.)
Their papers
- EEG based multi-class seizure type classification using convolutional neural network and transfer learning (2020) — 311 citations
- Deep brain stimulation: current challenges and future directions (2019) — 1,222 citations