|
26071 |
Resilience evaluation of memristor based PUF against machine learning attacks
Enthalten in Scientific reports Bd. 14, 14.10.2024, Nr. 1, date:12.2024: 1-16
|
|
|
|
26072 |
Resilient back-propagation machine learning-based classification on fundus images for retinal microaneurysm detection
Enthalten in International ophthalmology Bd. 44, 17.2.2024, Nr. 1, date:12.2024: 1-18
|
|
|
|
26073 |
Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on advances in signal processing Bd. 2024, 11.5.2024, Nr. 1, date:12.2024: 1-21
|
|
|
|
26074 |
Resilient machine learning for steel surface defect detection based on lightweight convolution
Enthalten in The international journal of advanced manufacturing technology Bd. 134, 14.9.2024, Nr. 9-10, date:10.2024: 4639-4650
|
|
|
|
26075 |
Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning
Enthalten in Nature Communications Bd. 16, 26.3.2025, Nr. 1, date:12.2025: 1-13
|
|
|
|
26076 |
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics
Enthalten in Machine learning Bd. 114, 14.1.2025, Nr. 1, date:1.2025: 1-21
|
|
|
|
26077 |
Resonant di-Higgs production at gravitational wave benchmarks: a collider study using machine learning
Enthalten in Journal of high energy physics Bd. 2018, 12.12.2018, Nr. 12, date:12.2018: 1-23
|
|
|
|
26078 |
Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm
Enthalten in Journal of medical systems Bd. 43, 28.6.2019, Nr. 8, date:8.2019: 1-13
|
|
|
|
26079 |
Response to “Comment on: Machine Learning for Understanding and Predicting Injuries in Football”
Enthalten in Sports medicine - open Bd. 10, 29.7.2024, Nr. 1, date:12.2024: 1-3
|
|
|
|
26080 |
Response to the letter to the editor on the article: a non-invasive, automated diagnosis of Menière’s disease using radiomics and machine learning on conventional magnetic resonance imaging—a multicentric, case-controlled feasibility study
Enthalten in La Radiologia medica Bd. 127, 5.8.2022, Nr. 9, date:9.2022: 1059-1061
|
|
Administration
