Browsing
     by title


0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

or enter first few letters:   
OK
Full Text
See detailUsing Data-flow analysis in MAS for power-aware HPC runs
Varrette, Sébastien UL; Danoy, Grégoire UL; Guzek, Mateusz UL et al

in Proc. of the IEEE Intl. Conf. on High Performance Computing and Simulation (HPCS'13) (2013)

Detailed reference viewed: 209 (12 UL)
Full Text
Peer Reviewed
See detailUsing Defeasible Information to Obtain Coherence
Casini, Giovanni UL; Meyer, Thomas

in Baral, Chitta; Delgrande, James; Wolter, Frank (Eds.) Proceedings of the 15th International Conference on Principle of Knowledge Representation and Reasoning (KR-16) (2016, April)

We consider the problem of obtaining coherence in a propositional knowledge base using techniques from Belief Change. Our motivation comes from the field of formal ontologies where coherence is ... [more ▼]

We consider the problem of obtaining coherence in a propositional knowledge base using techniques from Belief Change. Our motivation comes from the field of formal ontologies where coherence is interpreted to mean that a concept name has to be satisfiable. In the propositional case we consider here, this translates to a propositional formula being satisfiable. We define belief change operators in a framework of nonmonotonic preferential reasoning.We show how the introduction of defeasible information using contraction operators can be an effective means for obtaining coherence. [less ▲]

Detailed reference viewed: 66 (16 UL)
Full Text
Peer Reviewed
See detailUsing Defeasible Information to Obtain Coherence
Casini, Giovanni UL; Meyer, Thomas

in BNAIC 2016 - Proceedings of the 28th Benelux Conference on Artificial intelligence (2016)

In this paper we consider the problem of obtaining coherence in a propositional knowledge base using techniques from Belief Change. Our motivation comes from the field of formal ontologies where coherence ... [more ▼]

In this paper we consider the problem of obtaining coherence in a propositional knowledge base using techniques from Belief Change. Our motivation comes from the field of formal ontologies where coherence is interpreted to mean that a concept name has to be satisfiable. [less ▲]

Detailed reference viewed: 52 (4 UL)
Peer Reviewed
See detailUsing Diagnostic Classification Models to map first graders’ cognitive development pathways in the Luxembourgish school monitoring program: a pilot study in the domain of numbers & operations
Inostroza Fernandez, Pamela Isabel UL; Michels, Michael Andreas UL; Sonnleitner, Philipp UL

Scientific Conference (2022, November)

Educational large-scale assessments aim to evaluate school systems’ effectiveness by typically looking at aggregated levels of students’ performance. The developed assessment tools or tests are not ... [more ▼]

Educational large-scale assessments aim to evaluate school systems’ effectiveness by typically looking at aggregated levels of students’ performance. The developed assessment tools or tests are not intended or optimized to be used for diagnostic purposes on an individual level. In most cases, the underlying theoretical framework is based on national curricula and therefore too blurry for diagnostic test construction, and test length is too short to draw reliable inferences on individual level. This lack of individual information is often unsatisfying, especially for participating students and teachers who invest a considerable amount of time and effort, not to speak about the tremendous organizational work needed to realize such assessments. The question remains, if the evaluation could not be used in an optimized way to offer more differentiated information on students’ specific skills. The present study explores the potential of Diagnostic Classification Models (DCM) in this regard, since they offer crucial information for policy makers, educators, and students themselves. Instead of a ranking of, e.g., an overall mathematics ability, student mastery profiles of subskills are identified in DCM, providing a rich base for further targeted interventions and instruction (Rupp, Templin & Henson, 2010; von Davier, M., & Lee, Y. S., 2019). A prerequisite for applying such models is well-developed, and cognitively described items that map the assessed ability on a fine-grained level. In the present study, we drew on 104 items that were developed on base of detailed cognitive item models for basic Grade 1 competencies, such as counting, as well as decomposition and addition with low numbers and high numbers (Fuson, 1988, Fritz & Ricken, 2008, Krajewski & Schneider, 2009). Those items were spread over a main test plus 6 different test booklets and administered to a total of 5963 first graders within the Luxembourgish national school monitoring Épreuves standardisées. Results of this pilot study are highly promising, giving information about different student’s behaviors patterns: The final DCM was able to distinguish between different developmental stages in the domain of numbers & operations, on group, as well as on individual level. Whereas roughly 14% of students didn’t master any of the assessed competencies, 34% of students mastered all of them including addition with high numbers. The remaining 52% achieved different stages of competency development, 8% of students are classified only mastering counting, 15% of students also can master addition with low numbers, meanwhile 20% of students additionally can master decomposition, all these patterns reflect developmental models of children’s counting and concept of numbers (Fritz & Ricken, 2008; see also Braeuning et al, 2021). Information that could potentially be used to substantially enhance large-scale assessment feedback and to offer further guidance for teachers on what to focus when teaching. To conclude, the present results make a convincing case that using fine-grained cognitive models for item development and applying DCMs that are able to statistically capture these nuances in student response behavior might be worth the (substantially) increased effort. References: Braeuning, D. et al (2021)., Long-term relevance and interrelation of symbolic and non-symbolic abilities in mathematical-numerical development: Evidence from large-scale assessment data. Cognitive Development, 58, https://doi.org/10.1016/j.cogdev.2021.101008. Fritz, A., & Ricken, G. (2008). Rechenschwäche. utb GmbH. Fuson, K. C. (1988). Children's counting and concepts of number. Springer-Verlag Publishing. Rupp, A. A., Templin, J. L., & Henson, R. A. (2010). Diagnostic measurement: Theory, methods, and applications. New York, NY: Guildford Press. Von Davier, M., & Lee, Y. S. (2019). Handbook of diagnostic classification models. Cham: Springer International Publishing. [less ▲]

Detailed reference viewed: 150 (7 UL)
Full Text
Peer Reviewed
See detailUsing digital footprints in entrepreneurship research: A Twitter-based personality analysis of superstar entrepreneurs and managers
Obschonka, Martin; Fisch, Christian UL; Boyd, Ryan

in Journal of Business Venturing Insights (2017), 8

Research indicates that individuals’ digital footprints, for example in Twitter and Facebook, can reveal remarkably valid information about their personality characteristics. In this study, we use digital ... [more ▼]

Research indicates that individuals’ digital footprints, for example in Twitter and Facebook, can reveal remarkably valid information about their personality characteristics. In this study, we use digital footprints to gain insights into the personality of superstar entrepreneurs and managers, a largely understudied population in entrepreneurship research. Specifically, we compare the personality characteristics of 106 of the most influential business leaders employing a computerized text analysis tool based on the individuals’ Twitter messages (Receptiviti). Our findings are surprising and indicate that superstar managers are more entrepreneurial in many personality characteristics than superstar entrepreneurs. However, we also found some indications that superstar entrepreneurs seem to show features of a classic “Schumpeterian” entrepreneurial personality with respect to being creative, independent rule-breakers. [less ▲]

Detailed reference viewed: 26 (2 UL)
Full Text
Peer Reviewed
See detailUsing Domain-specific Corpora for Improved Handling of Ambiguity in Requirements
Ezzini, Saad UL; Abualhaija, Sallam UL; Arora, Chetan et al

in In Proceedings of the 43rd International Conference on Software Engineering (ICSE'21), Madrid 25-28 May 2021 (2021, May)

Ambiguity in natural-language requirements is a pervasive issue that has been studied by the requirements engineering community for more than two decades. A fully manual approach for addressing ambiguity ... [more ▼]

Ambiguity in natural-language requirements is a pervasive issue that has been studied by the requirements engineering community for more than two decades. A fully manual approach for addressing ambiguity in requirements is tedious and time-consuming, and may further overlook unacknowledged ambiguity – the situation where different stakeholders perceive a requirement as unambiguous but, in reality, interpret the requirement differently. In this paper, we propose an automated approach that uses natural language processing for handling ambiguity in requirements. Our approach is based on the automatic generation of a domain-specific corpus from Wikipedia. Integrating domain knowledge, as we show in our evaluation, leads to a significant positive improvement in the accuracy of ambiguity detection and interpretation. We scope our work to coordination ambiguity (CA) and prepositional-phrase attachment ambiguity (PAA) because of the prevalence of these types of ambiguity in natural-language requirements [1]. We evaluate our approach on 20 industrial requirements documents. These documents collectively contain more than 5000 requirements from seven distinct application domains. Over this dataset, our approach detects CA and PAA with an average precision of 80% and an average recall of 89% (90% for cases of unacknowledged ambiguity). The automatic interpretations that our approach yields have an average accuracy of 85%. Compared to baselines that use generic corpora, our approach, which uses domain-specific corpora, has 33% better accuracy in ambiguity detection and 16% better accuracy in interpretation. [less ▲]

Detailed reference viewed: 211 (27 UL)
See detailUsing environmental predictive settlement choice models as input data for settlement pattern simulations
Sikk, Kaarel UL

Scientific Conference (2020)

Inductive models of archaeological site locations have been successfully used for predicting archaeological potential of places in landscapes. These models are mostly based on currently observable ... [more ▼]

Inductive models of archaeological site locations have been successfully used for predicting archaeological potential of places in landscapes. These models are mostly based on currently observable environmental information. To reduce environmental determinism and increase both explanatory and predictive power several variables like visibility of locations have been interpreted as social factors of settlement locations. In the current paper we explore the possibilities of using inductive environmental models as input to simulation models. Although similar to models created for predictive purposes they need to be designed with different considerations. We present a study where we use inductive models of archaeological site locations to describe the spatial configuration of space environmentally suitable for residence. To do so we develop a conceptual agent-based model of residential choice based on discrete choice theory and theories of residential choice used in multiple fields from archaeology to contemporary urban studies. We discuss the role of environmental influences as perceived in archaeological data and how they relate to social influences and historical processes leading to emergence of settlement patterns. We argue that spatial structures of the inductive models of specific settlement patterns can inform us about the causal processes behind them when experimented with agent-based simulations. We present case study using inductive models of settlement locations from different periods of the Stone Age of Estonia. The differences of inductive settlement choice models and the ways of comparing them are discussed. The spatial configurations of the models of economic modes have different structures. For example region where settlements of water connected hunter-gatherers can be found has a different spatial structure than that of early agrarian communities. Those differences give insights on socioeconomic histories and can be used in explaining settlement pattern formation processes. [less ▲]

Detailed reference viewed: 63 (0 UL)
Peer Reviewed
See detailUsing Epidemic Hoarding to Minimize Load Delays in Distributed Virtual Environments
Scholtes, Ingo; Botev, Jean UL; Esch, Markus UL et al

in Proceedings of the 4th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) (2008)

Detailed reference viewed: 33 (2 UL)
Peer Reviewed
See detailUsing FileMaker Pro to get the most from your corpus data
Deroey, Katrien UL

Scientific Conference (2014, June 21)

This presentation provides a basic introduction to the database programme FileMaker Pro. I will use examples from my research for which I used Corpus Query Language in Sketch Engine to retrieve importance ... [more ▼]

This presentation provides a basic introduction to the database programme FileMaker Pro. I will use examples from my research for which I used Corpus Query Language in Sketch Engine to retrieve importance markers from BASE lectures which I then stored and annotated with FileMaker Pro. Although this programme is mainly used by businesses and so probably less familiar to corpus researchers than, for example, Access, it offers many features which greatly facilitate and speed up the processing of corpus data for research or materials development. Corpus concordances can be imported into a FileMaker database, where you can give them multiple tags and quickly and easily generate quantified instances from your corpus using any tag or a combination of tags. For example, the programme allowed me to classify concordances of importance markers into lexicogrammatical patterns, interactive and textual orientation types, component parts (e.g. verbs, Subjects), discipline, study level, co-occurring discourse markers etc. In this way, it took only a few seconds to generate and quantify instances of importance markers which, for instance, have the pattern ‘V clause’, contain ‘remember’ and co-occur with the discourse marker ‘but’. The programme thus allows you to examine and quantify the same data in a variety of ways and to retrieve only those instances you are interested in. This has considerable potential for facilitating the retrieval of corpus evidence for materials design and research. [less ▲]

Detailed reference viewed: 117 (4 UL)
Full Text
Peer Reviewed
See detailUsing Financial Derivatives to Hedge Against Market Risks in IT Outsourcing Projects ? a Quantitative Decision Model
Buhl, Hans Ulrich; Fridgen, Gilbert UL; König, Christian

in Journal of Decision Systems (2013), 22(4), 249--264

Detailed reference viewed: 37 (0 UL)
Full Text
Peer Reviewed
See detailUsing forum theatre in organised youth soccer to positively influence antisocial and prosocial behaviour: a pilot study.
Rutten, E. A.; Biesta, Gert UL; Deković, M. et al

in Journal of Moral Education (2010), 39(1), 65-78

Detailed reference viewed: 123 (0 UL)
Full Text
Peer Reviewed
See detailUsing Game Theory to configure P2P SIP
Becker, Sheila UL; State, Radu UL; Engel, Thomas UL

in Lecture Notes in Computer Science (2009)

Detailed reference viewed: 152 (5 UL)
Full Text
Peer Reviewed
See detailUsing Gamification and Metaphor to Design a Mobility Platform for Commuters
McCall, Roderick UL; Koenig, Vincent UL; Kracheel, Martin UL

in International Journal of Mobile Human Computer Interaction (2012)

In this paper the authors explain the use of gamification as a way to optimize mobility patterns within a heav- ily congested European City. They explore this from two perspectives, first by outlining a ... [more ▼]

In this paper the authors explain the use of gamification as a way to optimize mobility patterns within a heav- ily congested European City. They explore this from two perspectives, first by outlining a gaming concept and secondly by explaining how the use of a mobility game that took place in two locations can be used to explore incentives and design issues. [less ▲]

Detailed reference viewed: 410 (28 UL)
Full Text
Peer Reviewed
See detailUsing global team science to identify genetic parkinson's disease worldwide
Krüger, Rejko UL; Vollstedt, Eva‐Juliane; Kasten, Meike et al

in Annals of Neurology (2019)

Large multicenter approaches are necessary to systematically and uniformly characterize patients with genetic neurologic conditions and to eventually establish sizable clinical trial-ready cohorts.

Detailed reference viewed: 146 (9 UL)
Full Text
Peer Reviewed
See detailUsing GPS and absolute gravity observations to separate the effects of present-day and Pleistocene ice-mass changes in South East Greenland
van Dam, Tonie UL; Francis, Olivier UL; Wahr, J. et al

in Earth and Planetary Science Letters (2017), 459

Measurements of vertical crustal uplift from bedrock sites around the edge of the Greenland ice sheet (GrIS) can be used to constrain present day mass loss. Interpreting any observed crustal displacement ... [more ▼]

Measurements of vertical crustal uplift from bedrock sites around the edge of the Greenland ice sheet (GrIS) can be used to constrain present day mass loss. Interpreting any observed crustal displacement around the GrIS in terms of present day changes in ice is complicated, however, by the glacial isostatic adjustment (GIA) signal. With GPS observations alone, it is impossible to separate the uplift driven by present day mass changes from that due to ice mass changes in the past. Wahr et al. (1995) demonstrated that viscoelastic surface displacements were related to the viscoelastic gravity changes through a proportionality constant that is nearly independent of the choice of Earth viscosity or ice history model. Thus, by making measurements of both gravity and surface motion at a bedrock site, the viscoelastic effects could be removed from the observations and we would be able to constrain present day ice mass changes. Alternatively, we could use the same observations of surface displacements and gravity to determine the GIA signal. In this paper, we extend the theory of Wahr et al. (1995) by introducing a constant, Z, that represents the ratio between the elastic changes in gravity and elastic uplift at a particular site due to present day mass changes. Further, we combine 20 yrs of GPS observations of uplift with eight absolute gravity observations over the same period to determine the GIA signal near Kulusuk, a site on the southeastern side of the GrIS, to experimentally demonstrate the theory. We estimate that the GIA signal in the region is 4.49 ± 1.44 mm/yr and is inconsistent with most previously reported model predictions that demonstrate that the GIA signal here is negative. However, as there is very little in situ data to constrain the GIA rate in this part of Greenland, the Earth model or the ice history reconstructions could be inaccurate (Khan et al., 2016). Improving the estimate of GIA in this region of Greenland will allow us to better determine the present day changes in ice mass in the region, e.g. from GRACE. [less ▲]

Detailed reference viewed: 368 (38 UL)
Full Text
Peer Reviewed
See detailUsing GPS and Gravity to Infer Ice Mass Changes in Greenland
van Dam, Tonie UL; Larson, Kristine; Wahr, John et al

in EOS (2000), 81(37), 421-427

Detailed reference viewed: 151 (3 UL)
Full Text
Peer Reviewed
See detailUsing Graph Summarization for Join-Ahead Pruning in a Distributed RDF Engine
Gurajada, Sairam; Seufert, Stephan; Miliaraki, Iris et al

in Semantic Web Information Management on Semantic Web Information Management (2014)

Detailed reference viewed: 16 (0 UL)
Full Text
Peer Reviewed
See detailUsing graph theory to analyze biological networks
Pavlopoulos, Georgios A.; Secrier, Maria; Moschopoulos, Charalampos N. et al

in BioData Mining (2011), 4(10), 1-27

Understanding complex systems often requires a bottom-up analysis towards a systems biology approach. The need to investigate a system, not only as individual components but as a whole, emerges. This can ... [more ▼]

Understanding complex systems often requires a bottom-up analysis towards a systems biology approach. The need to investigate a system, not only as individual components but as a whole, emerges. This can be done by examining the elementary constituents individually and then how these are connected. The myriad components of a system and their interactions are best characterized as networks and they are mainly represented as graphs where thousands of nodes are connected with thousands of vertices. In this article we demonstrate approaches, models and methods from the graph theory universe and we discuss ways in which they can be used to reveal hidden properties and features of a network. This network profiling combined with knowledge extraction will help us to better understand the biological significance of the system. [less ▲]

Detailed reference viewed: 142 (2 UL)
Full Text
Peer Reviewed
See detailUsing Heterogeneous Multilevel Swarms of UAVs and High-Level Data Fusion to Support Situation Management in Surveillance Scenarios
Bouvry, Pascal UL; Chaumette, Serge; Danoy, Grégoire UL et al

in 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 (2016, September 19)

The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. This technology is also now of high interest in non-military contexts like ... [more ▼]

The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. This technology is also now of high interest in non-military contexts like logistics, environmental studies and different areas of civil protection. While the technology for operating a single UAV is rather mature, additional efforts are still necessary for using UAVs in fleets (or swarms). The Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques (ASIMUT) project which is supported by the European Defence Agency (EDA) aims at investigating and demonstrating dedicated surveillance services based on fleets of UAVs. The aim is to enhance the situation awareness of an operator and to decrease his workload by providing support for the detection of threats based on multi-sensor multi-source data fusion. The operator is also supported by the combination of information delivered by the heterogeneous swarms of UAVs and by additional information extracted from intelligence databases. As a result, a distributed surveillance system increasing detection, high-level data fusion capabilities and UAV autonomy is proposed. [less ▲]

Detailed reference viewed: 264 (18 UL)
Full Text
Peer Reviewed
See detailUsing Hidden Markov Models and Rule-based Sensor Mediation on Wearable eHealth Devices
Neyens, Gilles UL; Zampunieris, Denis UL

in Procedings of the 11th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Barcelona, Spain 12-16 November 2017 (2017)

Improvements in sensor miniaturization allow wearable devices to provide more functionality while also being more comfortable for users to wear. The Samsung Simband©, for example, has 6 different sensors ... [more ▼]

Improvements in sensor miniaturization allow wearable devices to provide more functionality while also being more comfortable for users to wear. The Samsung Simband©, for example, has 6 different sensors Electrocardiogram (ECG), Photoplethysmogram (PPG), Galvanic Skin Response (GSR), Bio-Impedance (Bio-Z), Accelerometer and a thermometer as well as a modular sensor hub to easily add additional ones. This increased number of sensors for wearable devices opens new possibilities for a more precise monitoring of patients by integrating the data from the different sensors. This integration can be influenced by failing or malfunctioning sensors and noise. In this paper, we propose an approach that uses Hidden Markov Models (HMM) in combination with a rule-based engine to mediate among the different sensors’ data in order to allow the eHealth system to compute a diagnosis on the basis of the selected reliable sensors. We also show some preliminary results about the accuracy of the first stage of the proposed model. [less ▲]

Detailed reference viewed: 162 (10 UL)