Levin Kuhlmann

Neural Networks · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Levin Kuhlmann trusts overall

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

1. Florian Mormann

Who trusts Levin Kuhlmann overall

1. Khansa Rasheed
2. Arvid Lundervold

Papers from Levin Kuhlmann's perspective

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

1. Deep Learning
2. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
3. Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
4. Neuroscience-Inspired Artificial Intelligence.
5. Opportunities in Machine Learning for Healthcare
6. Machines that learn to segment images: a crucial technology for connectomics.
7. Machine learning applications in cancer prognosis and prediction
8. Deep learning for computational biology
9. Intuition: a social cognitive neuroscience approach. (Psychological bulletin)
10. Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Their papers

• Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review (2020) — 323 citations
• Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram (2018) — 565 citations
• Seizure prediction — ready for a new era (2018) — 404 citations
• Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG (2018) — 185 citations