Sven Nõmm
Estonian mathematician (born 1973)
Facts
11 properties- Instance of
- human
- Date of birth
- November 21, 1973
- Occupation
- mathematician
- Employer
- Tallinn University of Technology, Tallinn University of Technology, Tallinn University of Technology, Tallinn University of Technology, Tallinn University of Technology[4]
- Educated at
- École Centrale de Nantes, Tallinn University of Technology, Saint Petersburg State University
- Doctoral advisor
- Claude Moog[5]
🏷️ Also known as
en Sven Nõmm
🔖 Identifiers · 6
- ISNI
- 0000000357656492
- ORCID iD
- 0000-0001-5571-1692
- VIAF cluster ID
- 198764441
- DBLP author ID
- 09/2585
- Estonian Research Portal person ID
- Sven_Nõmm
- IdRef ID
- 083352147
🔗 Connections
Author of 16
An Alternative Approach to Distinguish Movements of Parkinson Disease Patients,
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease,
Deep CNN Based Classification of the Archimedes Spiral Drawing Tests to Support Diagnostics of the Parkinson’s Disease,
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics,
Dimensionality Reduction for Machine Learning Based IoT Botnet Detection,
Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks,
Generative Adversarial Networks as a Data Augmentation Tool for CNN-Based Parkinson's Disease Diagnostics,
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks
+8 more
← Authored by 16
An Alternative Approach to Distinguish Movements of Parkinson Disease Patients,
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease,
Deep CNN Based Classification of the Archimedes Spiral Drawing Tests to Support Diagnostics of the Parkinson’s Disease,
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics,
Dimensionality Reduction for Machine Learning Based IoT Botnet Detection,
Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks,
Generative Adversarial Networks as a Data Augmentation Tool for CNN-Based Parkinson's Disease Diagnostics,
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks
+8 more
Affiliated with 1
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