Aurélien Baelde
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View article: SSFuzzyART: A Semi-Supervised Fuzzy ART through seeding initialization and a clustered data generation algorithm to deeply study clustering solutions
SSFuzzyART: A Semi-Supervised Fuzzy ART through seeding initialization and a clustered data generation algorithm to deeply study clustering solutions Open
Semi-supervised clustering is a machine learning technique that was introduced to boost clustering performance when labeled data is available. Indeed, some labeled data are usually available in real use cases, and can be used to initialize…
View article: Screening of Breast Cancer from Sweat Samples Analyzed by 2-Dimensional Gas Chromatography-Mass Spectrometry: A Preliminary Study
Screening of Breast Cancer from Sweat Samples Analyzed by 2-Dimensional Gas Chromatography-Mass Spectrometry: A Preliminary Study Open
Breast cancer (BC) remains one of the most commonly diagnosed malignancies in women. There is increasing interest in the development of non-invasive screening methods. Volatile organic compounds (VOCs) emitted through the metabolism of can…
View article: Dynamic Named Entity Recognition
Dynamic Named Entity Recognition Open
Named Entity Recognition (NER) is a challenging and widely studied task that\ninvolves detecting and typing entities in text. So far,NER still approaches\nentity typing as a task of classification into universal classes (e.g. date,\nperson…
View article: Classification of vulnerability levels using multivariate biomarkers in schizophrenia: a machine-learning approach
Classification of vulnerability levels using multivariate biomarkers in schizophrenia: a machine-learning approach Open
Background: Schizophrenia is a heterogeneous neurodevelopmental disease involving cognitive and motor impairments. Motor dysfunctions, such as eye movements or neurological soft signs, are proposed as endophenotypic markers. Methods: Super…
View article: Classification of vulnerability levels using multivariate biomarkers in schizophrenia: a machine-learning approach
Classification of vulnerability levels using multivariate biomarkers in schizophrenia: a machine-learning approach Open
Background Schizophrenia is a heterogeneous neurodevelopmental disease involving cognitive and motor impairments. Motor dysfunctions, such as eye movements or neurological soft signs (NSS), are proposed as endophenotypic markers. Methods M…
View article: Experimental study of multiple scattering in anisotropic titanium alloys
Experimental study of multiple scattering in anisotropic titanium alloys Open
Ultrasonic testing of jet engine titanium alloys is of high importance for the aircraft manufacturing industry. The quality of ultrasonic non-destructive testing is severely impacted by the titanium complex microstructure. These alloys hav…
View article: Experimental Study of Probe-Sample Contact Influence on Dispersion Curve Measurement with Phased Arrays in Plates
Experimental Study of Probe-Sample Contact Influence on Dispersion Curve Measurement with Phased Arrays in Plates Open
Dispersion curves of guided modes in plate-like structure are used to investigate elastic properties. Laser based ultrasound are conventional contactless techniques to acquire dispersion curves. Measurements are broadband and quite sensiti…
View article: Ultrasonic Study of Multiple Scattering and Microstructure Anisotropy in Engine Grade Titanium Alloy
Ultrasonic Study of Multiple Scattering and Microstructure Anisotropy in Engine Grade Titanium Alloy Open
Ultrasonic testing of jet engine titanium alloys is of high importance for the aircraft manufacturing industry. The quality of these non-destructive testings is severely impacted by the titanium complex microstructure. These alloys have be…