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Ugly duckling feature for melanoma detection : a validation study – DIAMELA
Most of the melanomas are recognizable from their visual characteristics, especially significant when they differ from those of the other nevi of the individual observed (ugly duckling). Rarely described in the literature, this idea is tested and evaluated for impact.
Ontology Research, Image Features, Letterform Analysis on Multilingual Medieval Scripts – ORIFLAMMS
The ORIFLAMMS project (Ontology Research, Image Features, Letterform Analysis on Multilingual Medieval
Defining the severe paediatric asthma endotype: an integrated approach combining phenotypic analyses related to immune, metabolomic, and microbial features – SevAsthma-children
Asthma is a chronic disease affecting approximately 235 million people worldwide, and the number is rising. Asthma is not just a public health problem for developed countries; its incidence is also el
Predicting Inner Wood Defects from Outer Bark Features – WoodSeer
WoodSeer is a project aiming the development of automated means for characterizing wood supply in the upstream part of the forest-wood chain in the context of inventory, log trade and first processing
Ajustable membrane pore size with Functionalizable Metallic nanoRING features – AFM_Ring
Development of fouling-resistant smart membranes selective for challenging protein separations is needed since separation of similar-sized proteins with current commercial membranes is not possible. T
Segregation of chromatin features in a single cell lineage – GenChroSeg
Asymmetric cell division is a prerequisite for cellular differentiation and stem cell maintenance. Phenotypic transformation during differentiation is a poorly understood epigenetic phenomenon, in whi
Information Extraction and Interpretation for multi-scale Remotely Sensed Imagery – XIMRI
types of features (radiometric and contextual features), the way for the fusion of these features must be [...] we have to extract the features from the image. Since the radiometric features are classical, we are more [...] in contextual features in this project. Secondly (WP2), we have to compute the features which are indepedent
Studying sensory coding of complex naturalistic stimuli in the barrel cortex with a perturbative method and a machine learning approach – PerBaCo
ethologically relevant features from the sensory organs. Understanding the feature “vocabulary” and how [...] anesthetized rodents examined what whisker movement features were encoded by artificially varying one stimulus [...] parameter at a time. In a second category, a specific feature from natural stimuli is retained and used to test
EnhanceD Data stream Analysis : combining the signature method and machine learning algorithms – EDDA
provide interpretable methods using nonlinear features. The EDDA project intends to improve existing [...] considering the iterated-integrals signature (IIS) features, which encodes nonlinear information in multivariate [...] of integrating in a relevant manner the IIS feature in machine learning algorithms. The EDDA project
Interpretability of Deep Neural Networks for Radiomics – INFORM
prognosis through extraction of engineered image features (intensity, shape, textures) sometimes combined [...] combined with other clinical expert-derived features. We hypothesize that, despite the potential of DNNs to [...] Second, we tackle the interpretability of DNN-based feature engineering and latent variable modeling with