Search results for "learning"
showing 10 items of 6669 documents
Machine Learning VS Transfer Learning - Smart Camera Implementation for Face Authentication
2018
The aim of this paper is to highlight differences between classical machine learning and transfer learning applied to low cost real-time face authentication. Furthermore, in an access control context, the size of biometric data should be minimized so it can be stored on a remote personal media. These constraints have led us to compare only lightest versions of these algorithms. Transfer learning applied on Mobilenet v1 raises to 85% of accuracy, for a 457Ko model, with 3680s and 1.43s for training and prediction tasks. In comparison, the fastest integrated method (Random Forest) shows accuracy up to 90% for a 7,9Ko model, with a fifth of a second to be trained and a hundred of microseconds …
Neuropsychological Profile, Emotional/Behavioral Problems, and Parental Stress in Children with Neurodevelopmental Disorders
2021
Background: The aim of our study was to trace a specific neuropsychological profile, to investigate emotional-behavioral problems and parental stress in children with Autism Spectrum Disorder Level 1/High functioning (ASD-HF), Specific Learning Disorders (SLD) and Attention Deficit/Hyperactivity Disorder (ADHD) disorders and to highlight similarities and differences among the three groups. Methods: We retrospectively collected the data from a total of 62 subjects with ASD-HF (n = 19) ADHD (n = 21), SLD (n = 22) and 20 typical development. All the participants underwent neuropsychological standardized test for the evaluation of cognitive profile (Wechsler Intelligence Scale for Children Four…
HEp-2 intensity classification based on deep fine-tuning
2020
The classification of HEp-2 images, conducted through Indirect ImmunoFluorescence (IIF) gold standard method, in the positive / negative classes, is the first step in the diagnosis of autoimmune diseases. Since the test is often difficult to interpret, the research world has been looking for technological features for this problem. In recent years the methods of deep learning have overcome the other machine learning techniques in their effectiveness and robustness, and now they prevail in artificial intelligence studies. In this context, CNNs have played a significant role especially in the biomedical field. In this work we analysed the capabilities of CNN for fluorescence classification of…
LogDet divergence-based metric learning with triplet constraints and its applications.
2014
How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…
Multitasking in Driving as Optimal Adaptation Under Uncertainty
2021
Objective The objective was to better understand how people adapt multitasking behavior when circumstances in driving change and how safe versus unsafe behaviors emerge. Background Multitasking strategies in driving adapt to changes in the task environment, but the cognitive mechanisms of this adaptation are not well known. Missing is a unifying account to explain the joint contribution of task constraints, goals, cognitive capabilities, and beliefs about the driving environment. Method We model the driver’s decision to deploy visual attention as a stochastic sequential decision-making problem and propose hierarchical reinforcement learning as a computationally tractable solution to it. The…
Learning what (not) to do: testing rejection and copying of simulated heterospecific behavioural traits
2011
Animals can copy behaviour of heterospecifics (interspecific social learning), but it is not known whether social-learning strategies postulated for conspecific contexts, such as selectively copying individuals (or behaviours) that are more successful or common than the observer, apply here. A recent study found evidence for biased interspecific acquisition of nest site feature preference depending on observed fitness of the demonstrator (clutch size). We experimentally tested whether migratory pied flycatcher, Ficedula hypoleuca, females, given a choice between two novel alternative behavioural traits of nest site feature choice, copy or reject the experimentally induced choice exhibited b…
Can ultraviolet cues function as aposematic signals?
2001
The fact that birds are sensitive to ultraviolet light (UV, 320–400 nm) has been largely ignored by previous studies of aposematism. Therefore, in the present article we investigated whether great tits preferred ultraviolet-reflecting colors compared to colors without UV reflection and whether UV cues alone could function as aposematic signals. We were able to manipulate prey visibility in UV light by changing the UV reflectance of prey items as well as altering the lighting conditions. In order to perform a preference experiment we used three pairs of colors (green UV vs. green, gray UV vs. gray, yellow UV vs. yellow) on a black background. The birds ate both UV types equally for all three…
THE EDUCATIONAL EFFECTS OF METACOGNITIVE LEARNING AWARENESS ON UNDERGRADUATE STUDENTS
2016
The importance of metacognition has been discussed extensively by numerous researchers. Most of the studies on metacognition generally focus on the approaches to foster metacognition or on assessing metacognition. The aim of this study is to investigate the effects of metacognitive awareness and learning strategies on student success in Pre-Primary and Primary Education degree course in University of Palermo. The data was gathered from 700 undergraduate students through MAI Metacognitive Awareness Inventory[1] and ALM Awareness Learning Metacognitive [2]. The results showed that Metacognitive awareness and learning strategies have an important role on students’ academic success and they dem…
Ebselen prevents chronic alcohol-induced rat hippocampal stress and functional impairment
2007
Background: Most of the previously published data suggest a role for oxidative or nitrosative stress in ethanol-induced nervous system damage. Moreover, ethanol is able to impair learning abilities in adult mammalian brain, a process suggested to be directly related to hippocampal neurogenesis. Ebselen, a synthetic compound with antioxidant properties, is able to prevent ethanol-induced impairment of neurogenesis in adult rats. The aim of the present work was to further demonstrate the ability of ebselen to prevent biochemical alterations, and preserve long-term potentiation (LTP) and learning abilities, in the hippocampus of chronic alcoholic adult rats. Methods: Biochemical markers of oxi…
Las aportaciones de la Historia del Arte al proceso educativo intercultural: posibilidades y limitaciones
2016
La Historia del Arte es una asignatura adecuada para la consecucion de objetivos interculturales en Bachillerato. Las producciones artisticas de una sociedad reflejan las distintas culturas en contacto. Si se tiene en cuenta que el Bachillerato supone una preparacion para el acceso a la universidad, el docente no puede olvidar que el objetivo principal es conseguir cierto grado de madurez en el estudiante. Este articulo intenta mostrar como esta asignatura podra convertirse en el nucleo educativo intercultural en Bachillerato, mediante un analisis legislativo y el establecimiento de lineas de actuacion docente concretas. Se ha podido comprobar como una metodologia que parte de la reflexion …