References of "2017"
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See detailA avaliação das aprendizagens escolares no Luxemburgo
Dierendonck, Christophe UL; Burton, Réginald UL; Wanlin, Philippe

in Flores, Maria Assunçao; Machado, Andre; Alves, Palmira (Eds.) Avaliação das Aprendizagens: Perspetivas Internacionais (2017)

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See detailEvaluer. Journal international de Recherche en Education et Formation
Cavaco, Carmen; Dierendonck, Christophe UL

Book published by ADMEE-Europe (2017)

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See detailParental migration, gender and the living conditions of children in Ghana
Cebotari, Victor UL; Dito, Bilisuma

in Parental migration, gender and the living conditions of children in Ghana (2017)

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See detailIdentifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations
Glauner, Patrick UL; Dahringer, Niklas; Puhachov, Oleksandr et al

in Proceedings of the 17th IEEE International Conference on Data Mining Workshops (ICDMW 2017) (2017)

Power grids are critical infrastructure assets that face non-technical losses (NTL) such as electricity theft or faulty meters. NTL may range up to 40% of the total electricity distributed in emerging ... [more ▼]

Power grids are critical infrastructure assets that face non-technical losses (NTL) such as electricity theft or faulty meters. NTL may range up to 40% of the total electricity distributed in emerging countries. Industrial NTL detection systems are still largely based on expert knowledge when deciding whether to carry out costly on-site inspections of customers. Electricity providers are reluctant to move to large-scale deployments of automated systems that learn NTL profiles from data due to the latter's propensity to suggest a large number of unnecessary inspections. In this paper, we propose a novel system that combines automated statistical decision making with expert knowledge. First, we propose a machine learning framework that classifies customers into NTL or non-NTL using a variety of features derived from the customers' consumption data. The methodology used is specifically tailored to the level of noise in the data. Second, in order to allow human experts to feed their knowledge in the decision loop, we propose a method for visualizing prediction results at various granularity levels in a spatial hologram. Our approach allows domain experts to put the classification results into the context of the data and to incorporate their knowledge for making the final decisions of which customers to inspect. This work has resulted in appreciable results on a real-world data set of 3.6M customers. Our system is being deployed in a commercial NTL detection software. [less ▲]

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See detailDistilling Provider-Independent Data for General Detection of Non-Technical Losses
Meira, Jorge Augusto UL; Glauner, Patrick UL; State, Radu UL et al

in Power and Energy Conference, Illinois 23-24 February 2017 (2017)

Non-technical losses (NTL) in electricity distribution are caused by different reasons, such as poor equipment maintenance, broken meters or electricity theft. NTL occurs especially but not exclusively in ... [more ▼]

Non-technical losses (NTL) in electricity distribution are caused by different reasons, such as poor equipment maintenance, broken meters or electricity theft. NTL occurs especially but not exclusively in emerging countries. Developed countries, even though usually in smaller amounts, have to deal with NTL issues as well. In these countries the estimated annual losses are up to six billion USD. These facts have directed the focus of our work to the NTL detection. Our approach is composed of two steps: 1) We compute several features and combine them in sets characterized by four criteria: temporal, locality, similarity and infrastructure. 2) We then use the sets of features to train three machine learning classifiers: random forest, logistic regression and support vector vachine. Our hypothesis is that features derived only from provider-independent data are adequate for an accurate detection of non-technical losses. [less ▲]

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See detailHow Do Different Aspects of Spatial Skills Relate to Early Arithmetic and Number Line Estimation?
Cornu, Véronique UL; Hornung, Caroline UL; Schiltz, Christine UL et al

in Journal of Numerical Cognition (2017), 3(2),

The present study investigated the predictive role of spatial skills for arithmetic and number line estimation in kindergarten children (N = 125). Spatial skills are known to be related to mathematical ... [more ▼]

The present study investigated the predictive role of spatial skills for arithmetic and number line estimation in kindergarten children (N = 125). Spatial skills are known to be related to mathematical development, but due to the construct’s non-unitary nature, different aspects of spatial skills need to be differentiated. In the present study, a spatial orientation task, a spatial visualization task and visuo-motor integration task were administered to assess three different aspects of spatial skills. Furthermore, we assessed counting abilities, knowledge of Arabic numerals, quantitative knowledge, as well as verbal working memory and verbal intelligence in kindergarten. Four months later, the same children performed an arithmetic and a number line estimation task to evaluate how the abilities measured at time 1 predicted early mathematics outcomes. Hierarchical regression analysis revealed that children’s performance in arithmetic was predicted by their performance in the spatial orientation and visuo-motor integration task, as well as their knowledge of the Arabic numerals. Performance in number line estimation was significantly predicted by the children’s spatial orientation performance. Our findings emphasize the role of spatial skills, notably spatial orientation, in mathematical development. The relation between spatial orientation and arithmetic was partially mediated by the number line estimation task. Our results further show that some aspects of spatial skills might be more predictive of mathematical development than others, underlining the importance to differentiate within the construct of spatial skills when it comes to understanding numerical development. [less ▲]

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See detailTowards a Real-Time Driver Identification Mechanism Based on Driving Sensing Data
Jafarnejad, Sasan UL; Castignani, German UL; Engel, Thomas UL

in 20th International Conference on Intelligent Transportation Systems (ITSC) (2017)

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See detailStartups' innovation behavior: An investigation into the role of entrepreneurial motivations
Gundolf, Katherine; Gast, Johanna; Geraudel, Mickaël UL

in International Journal of Innovation Management (2017), 21

Although it is argued that competitiveness and successful performance in the long-term is facilitated if ventures engage in innovations in diverse domains (e.g. product, process, production ... [more ▼]

Although it is argued that competitiveness and successful performance in the long-term is facilitated if ventures engage in innovations in diverse domains (e.g. product, process, production, administration, etc.), the development of diversified innovation has been rarely analyzed. As the entrepreneurs’ initial motivations to startup are likely to influence their subsequent entrepreneurial behavior, this study aims to explore whether and how entrepreneurial motivations affect diversified innovation behavior in startups. Using data on over 48.000 French startups, we present novel insights into the consequences of entrepreneurial motivation for innovation behavior. In fact, we find that distinct startup motivations can have different effects on the development of diverse innovations. As such, our findings contribute to extant research on innovation development of startups and advance the present understanding of the determinants of startups’ innovative behavior [less ▲]

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See detailExchangeable pairs on Wiener chaos
Nourdin, Ivan UL; Zheng, Guangqu UL

in High-Dimensional Probability VIII Proceedings (2017)

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See detailA Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons
Galetzka, Michael; Glauner, Patrick UL

in Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), Volume 1: GRAPP (2017)

Determining if a point is in a polygon or not is used by a lot of applications in computer graphics, computer games and geoinformatics. Implementing this check is error-prone since there are many special ... [more ▼]

Determining if a point is in a polygon or not is used by a lot of applications in computer graphics, computer games and geoinformatics. Implementing this check is error-prone since there are many special cases to be considered. This holds true in particular for complex polygons whose edges intersect each other creating holes. In this paper we present a simple even-odd algorithm to solve this problem for complex polygons in linear time and prove its correctness for all possible points and polygons. We furthermore provide examples and implementation notes for this algorithm. [less ▲]

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See detailCentrality of regions in R&D networks: A new measurement approach using the concept of bridging paths
Berge, Laurent UL; Wanzenbock, Iris; Scherngell, Thomas

in Regional Studies (2017), 51(8), 1165--1178

This paper aims at introducing a novel measure of regional centrality in the context of R&D networks. We first demonstrate some substantial problems of SNA-based centrality measures to cope with regional ... [more ▼]

This paper aims at introducing a novel measure of regional centrality in the context of R&D networks. We first demonstrate some substantial problems of SNA-based centrality measures to cope with regional R&D networks in a meaningful way. Then, we introduce a new measurement approach of regional network centrality based on the concept of inter-regional bridging paths (indirect connections at the regional level). We show that the formal definition of our regional bridging centrality measure can be expressed in terms of three simple components: the participation intensity of a region in inter-regional R&D collaborations, the relative outward orientation in terms of all established links and the diversification of R&D collaborations among partner regions. We illustrate the measure and its behaviour with respect to other conventional centrality measures by using the example of the European co-patent network at the NUTS2 level. [less ▲]

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See detailThe Heidelberg inventory of geographic system competency model.
Viehrig, Kathrin; Siegmund, Alexander; Funke, Joachim et al

in Leutner, Detlev; Fleischer, Jens; Grünkorn, Juliane (Eds.) et al Competence assessment in education : Research, models, and instruments. (2017)

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See detailCollaborative problem solving in the Programme for International Student Assessment (PISA).
He, Qiwei; von Davier, Matthias; Greiff, Samuel UL et al

in von Davier, Alina A.; Zhu, Mengxiao; Kyllonen, Patrick C. (Eds.) Innovative Assessment of Collaboration (2017)

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See detailDynamic problem solving. Multiple-item testing based on minimal complex systems.
Funke, Joachim; Greiff, Samuel UL

in Leutner, Detlev; Fleischer, Jens; Grünkorn, Jiliane (Eds.) et al Competence assessment in education : Research, models, and instruments. (2017)

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See detailOwnership Concentration, Institutional Development and Firm Performance in Central and Eastern Europe
Balsmeier, Benjamin UL; Czarnitzki, Dirk

in Managerial and Decision Economics (2017), 38

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See detail(Reguläre Zeitschriftennummer)
Küpper, Achim UL; Ceuppens, Jan; Leuschner, Torsten et al

in Germanistische Mitteilungen. Zeitschrift für deutsche Sprache, Literatur und Kultur (2017), 43(1), 104

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See detailThe 1-eigenspace for matrices in GL2(ℤℓ)
Lombardo, Davide; Perucca, Antonella UL

in New York Journal of Mathematics (2017)

Detailed reference viewed: 1015 (3 UL)