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  • 1.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Paradis, Carita
    Lund University.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    DoSVis: Document Stance Visualization2018Ingår i: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '18) - Volume 3: IVAPP / [ed] Alexandru C. Telea, Andreas Kerren, and José Braz, SciTePress, 2018, 168-175 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Text visualization techniques often make use of automatic text classification methods. One of such methods is stance analysis, which is concerned with detecting various aspects of the writer’s attitude towards utterances expressed in the text. Existing text visualization approaches for stance classification results are usually adapted to textual data consisting of individual utterances or short messages, and they are often designed for social media or debate monitoring tasks. In this paper, we propose a visualization approach called DoSVis (Document Stance Visualization) that focuses instead on individual text documents of a larger length. DoSVis provides an overview of multiple stance categories detected by our classifier at the utterance level as well as a detailed text view annotated with classification results, thus supporting both distant and close reading tasks. We describe our approach by discussing several application scenarios involving business reports and works of literature. 

  • 2.
    Österlund, Erik
    et al.
    Oracle, Stockholm, Sweden.
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Self-adaptive concurrent components2018Ingår i: Automated Software Engineering: An International Journal, ISSN 0928-8910, E-ISSN 1573-7535, Vol. 25, nr 1, 47-99 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Selecting the optimum component implementation variant is sometimes difficult since it depends on the component's usage context at runtime, e.g., on the concurrency level of the application using the component, call sequences to the component, actual parameters, the hardware available etc. A conservative selection of implementation variants leads to suboptimal performance, e.g., if a component is conservatively implemented as thread-safe while during the actual execution it is only accessed from a single thread. In general, an optimal component implementation variant cannot be determined before runtime and a single optimal variant might not even exist since the usage contexts can change significantly over the runtime. We introduce self-adaptive concurrent components that automatically and dynamically change not only their internal representation and operation implementation variants but also their synchronization mechanism based on a possibly changing usage context. The most suitable variant is selected at runtime rather than at compile time. The decision is revised if the usage context changes, e.g., if a single-threaded context changes to a highly contended concurrent context. As a consequence, programmers can focus on the semantics of their systems and, e.g., conservatively use thread-safe components to ensure consistency of their data, while deferring implementation and optimization decisions to context-aware runtime optimizations. We demonstrate the effect on performance with self-adaptive concurrent queues, sets, and ordered sets. In all three cases, experimental evaluation shows close to optimal performance regardless of actual contention.

  • 3.
    Viebke, Andre
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Memeti, Suejb
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Pllana, Sabri
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Abraham, Ajith
    Machine Intelligence Research Labs (MIR Labs).
    CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi2017Ingår i: Journal of Supercomputing, ISSN 0920-8542, E-ISSN 1573-0484Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Deep learning is an important component of big-data analytic tools and intelligent applications, such as, self-driving cars, computer vision, speech recognition, or precision medicine. However, the training process is computationally intensive, and often requires a large amount of time if performed sequentially. Modern parallel computing systems provide the capability to reduce the required training time of deep neural networks.In this paper, we present our parallelization scheme for training convolutional neural networks (CNN) named Controlled Hogwild with Arbitrary Order of Synchronization (CHAOS). Major features of CHAOS include the support for thread and vector parallelism, non-instant updates of weight parameters during back-propagation without a significant delay, and implicit synchronization in arbitrary order. CHAOS is tailored for parallel computing systems that are accelerated with the Intel Xeon Phi. We evaluate our parallelization approach empirically using measurement techniques and performance modeling for various numbers of threads and CNN architectures. Experimental results for the MNIST dataset of handwritten digits using the total number of threads on the Xeon Phi show speedups of up to 103x compared to the execution on one thread of the Xeon Phi, 14x compared to the sequential execution on Intel Xeon E5, and 58x compared to the sequential execution on Intel Core i5.

  • 4.
    Memeti, Suejb
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Pllana, Sabri
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Combinatorial optimization of DNA sequence analysis on heterogeneous systems2017Ingår i: Concurrency and Computation, ISSN 1532-0626, E-ISSN 1532-0634, Vol. 29, nr 7, e4037Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Analysis of DNA sequences is a data and computational intensive problem, and therefore, it requires suitable parallel computing resources and algorithms. In this paper, we describe our parallel algorithm for DNA sequence analysis that determines how many times a pattern appears in the DNA sequence. The algorithm is engineered for heterogeneous platforms that comprise a host with multi-core processors and one or more many-core devices. For combinatorial optimization, we use the simulated annealing algorithm. The optimization goal is to determine the number of threads, thread affinities, and DNA sequence fractions for host and device, such that the overall execution time of DNA sequence analysis is minimized. We evaluate our approach experimentally using real-world DNA sequences of various organisms on a heterogeneous platform that comprises two Intel Xeon E5 processors and an Intel Xeon Phi 7120P co-processing device. By running only about 5% of possible experiments, our optimization method finds a near-optimal system configuration for DNA sequence analysis that yields with average speedup of 1.6 ×  and 2 ×  compared with the host-only and device-only execution.

  • 5.
    Rosenlund, Joacim
    et al.
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för biologi och miljö (BOM).
    Notini, Peter
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för biologi och miljö (BOM).
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Exploring attitudes to societal relevance: the effects of reflection on research practices among Swedish environmental scientists2017Ingår i: Journal of Responsible Innovation, ISSN 2329-9460, E-ISSN 2329-9037, Vol. 4, nr 3, 337-353 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Funding agencies and policy-makers have put increasing pressure on scientists to better clarify the usefulness of their research. It has been suggested that this may have led to an increased reflection on the societal relevance of research among the scientists themselves. However, this often is more an assumption than a carefully verified fact. This paper investigates whether reflection on societal relevance actually occurs and has a measurable effect on the choice of research and on dissemination activities performed by scientists. A survey was conducted among researchers in environmental science and technology at Swedish universities. Results show that researchers do frequently reflect upon the societal and environmental relevance of their work. We used path modelling techniques to assess how this influences their professional activities. Results show that reflection was important to explain both the choice of research and dissemination activities. Variables such as individual attitudes, experience and collaboration with external actors also affected these outcomes.

  • 6. Natalini, Davide
    Jones, Aled Wynne
    Global food security and food riots: an agent-based modelling approach2017Ingår i: Food Security, ISSN 1876-4517, E-ISSN 1876-4525Artikel i tidskrift (Refereegranskat)
  • 7.
    Gargano, Francesco
    et al.
    University of Palermo, Italy.
    Tamburino, Lucia
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för matematik (MA).
    Bagarello, Fabio
    University of Palermo, Italy ; National Institute for Nuclear Physics (INFN), Napoli, Italy.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Large-scale effects of migration and conflict in pre-agricultural groups: Insights from a dynamic model2017Ingår i: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 12, nr 3, e0172262Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The debate on the causes of conflict in human societies has deep roots. In particular, the extent of conflict in hunter-gatherer groups remains unclear. Some authors suggest that large-scale violence only arose with the spreading of agriculture and the building of complex societies. To shed light on this issue, we developed a model based on operatorial techniques simulating population-resource dynamics within a two-dimensional lattice, with humans and natural resources interacting in each cell of the lattice. The model outcomes under different conditions were compared with recently available demographic data for prehistoric South America. Only under conditions that include migration among cells and conflict was the model able to consistently reproduce the empirical data at a continental scale. We argue that the interplay between resource competition, migration, and conflict drove the population dynamics of South America after the colonization phase and before the introduction of agriculture. The relation between population and resources indeed emerged as a key factor leading to migration and conflict once the carrying capacity of the environment has been reached.

  • 8.
    Laitinen, Mikko
    et al.
    University of Eastern Finland, Finland.
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Lakaw, Alexander
    University of Eastern Finland, Finland.
    Revisiting weak ties: Using present-day social media data in variationist studies2017Ingår i: Exploring Future Paths for Historical Sociolinguistics / [ed] Tanja Säily, Minna Palander-Collin, Arja Nurmi, Anita Auer, Amsterdam: John Benjamins Publishing Company, 2017, 303-325 s.Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This article makes use of big and rich present-day data to revisit the social network model in sociolinguistics. This model predicts that mobile individuals with ties outside a home community and subsequent loose-knit networks tend to promote the diffusion of linguistic innovations. The model has been applied to a range of small ethnographic networks. We use a database of nearly 200,000 informants who send micro-blog messages in Twitter. We operationalize networks using two ratio variables; one of them is a truly weak tie and the other one a slightly stronger one. The results show that there is a straightforward increase of innovative behavior in the truly weak tie network, but the data indicate that innovations also spread under conditions of stronger networks, given that the network size is large enough. On the methodological level, our approach opens up new horizons in using big and often freely available data in sociolinguistics, both past and present.

  • 9.
    Ghorbani, Amineh
    et al.
    Delft University of Technology, The Netherlands.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Frey, Ulrich
    German Aerospace Center (DLR), Germany.
    Theesfeld, Insa
    Martin Luther University Halle-Wittenberg, Germany.
    Self-organization in the commons: An empirically-tested model2017Ingår i: Environmental Modelling & Software, ISSN 1364-8152, E-ISSN 1873-6726, Vol. 96, 30-45 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A appropriate bottom-up rule system can support the sustainability of common-pool resources such as forests and fisheries. The process that leads to the developments of such institutional settings requires the considerations of multiple social, physical, and institutional factors over long time horizons. In this paper, we present the SONICOM model as a general exploratory model of CPR systems. The model can be configured to represent different CPR systems in order to explore what kind of institutional settings result in stable systems, i.e. situations where the resource and the appropriators are in a state of well-being. We use a large-N-dataset of CPR management institutions to validate the model. The results show numerous correlations between various parameters of the system such as rule compliance, social influence and resource growth rate which help explaining the process of institutional emergence as well as unveiling the conditions under which systems are stable.

  • 10.
    Martins, Rafael Messias
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Simaki, Vasiliki
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). Lund University.
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Paradis, Carita
    Lund University.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    StanceXplore: Visualization for the Interactive Exploration of Stance in Social Media2017Konferensbidrag (Refereegranskat)
    Abstract [en]

    The use of interactive visualization techniques in Digital Humanities research can be a useful addition when traditional automated machine learning techniques face difficulties, as is often the case with the exploration of large volumes of dynamic—and in many cases, noisy and conflicting—textual data from social media. Recently, the field of stance analysis has been moving from a predominantly binary approach—either pro or con—to a multifaceted one, where each unit of text may be classified as one (or more) of multiple possible stance categories. This change adds more layers of complexity to an already hard problem, but also opens up new opportunities for obtaining richer and more relevant results from the analysis of stancetaking in social media. In this paper we propose StanceXplore, a new visualization for the interactive exploration of stance in social media. Our goal is to offer DH researchers the chance to explore stance-classified text corpora from different perspectives at the same time, using coordinated multiple views including user-defined topics, content similarity and dissimilarity, and geographical and temporal distribution. As a case study, we explore the activity of Twitter users in Sweden, analyzing their behavior in terms of topics discussed and the stances taken. Each textual unit (tweet) is labeled with one of eleven stance categories from a cognitive-functional stance framework based on recent work. We illustrate how StanceXplore can be used effectively to investigate multidimensional patterns and trends in stance-taking related to cultural events, their geographical distribution, and the confidence of the stance classifier. 

  • 11.
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    What happens to ongoing change in multilingual settings?: A corpus compiler’s perspective on new data and new research prospects.2017Ingår i: Challenging the Myth of Monolingual Corpora / [ed] Arja Nurmi, Päivi Pahta, Tanja Rütten, Leiden: Brill Academic Publishers, 2017, 58-79 s.Kapitel i bok, del av antologi (Refereegranskat)
  • 12.
    Memeti, Suejb
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Pllana, Sabri
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    A machine learning approach for accelerating DNA sequence analysis2016Ingår i: The international journal of high performance computing applications, ISSN 1094-3420, E-ISSN 1741-2846Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The DNA sequence analysis is a data and computationally intensive problem and therefore demands suitable parallel computing resources and algorithms. In this paper, we describe an optimized approach for DNA sequence analysis on a heterogeneous platform that is accelerated with the Intel Xeon Phi. Such platforms commonly comprise one or two general purpose host central processing units (CPUs) and one or more Xeon Phi devices. We present a parallel algorithm that shares the work of DNA sequence analysis between the host CPUs and the Xeon Phi device to reduce the overall analysis time. For automatic worksharing we use a supervised machine learning approach, which predicts the performance of DNA sequence analysis on the host and device and accordingly maps fractions of the DNA sequence to the host and device. We evaluate our approach empirically using real-world DNA segments for human and various animals on a heterogeneous platform that comprises two 12-core Intel Xeon E5 CPUs and an Intel Xeon Phi 7120P device with 61 cores.

  • 13.
    Laitinen, Mikko
    University of Eastern Finland, Finland.
    Ongoing changes and advanced L2 use of English: Evidence from new corpus resources2016Ingår i: Corpus Linguistics on the Move: Exploring and Understanding English through Corpora / [ed] María José López-Couso, Belén Méndez-Naya, Paloma Núñez-Pertejo, Ignacio M. Palacios-Martínez, Leiden: Brill Academic Publishers, 2016, 59-84 s.Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This chapter approaches the global spread of English by charting new ways of studying the expansion and diversification of English to non-native contexts. The research builds on the idea that the ongoing globalization of English calls for new empirical approaches to contact, variability, and the interplay of the established varieties andnew forms of English. It tests the methods of recent and ongoing grammatical change in investigating advanced non-native use. This methodology, combining historical linguistics and variationist sociolinguistics in a statistically sensitive corpus-based framework, has previously been used in the study of native varieties, but not in non-nativecontexts. The chapter first presents the compilation of a new multi-genre corpus ofadvanced English texts in non-instructional settings in Sweden and Finland, and then provides three case studies which examine how various lexico-grammatical variablescurrently undergoing change are adopted in non-native contexts. The results show substantial differences between traditional learner evidence and advanced non-native English in use, and indicate that the non-native evidence lands somewhere in betweenthe most advanced variety, standard American English, but ahead of other native and non-native inner and outer circle varieties. The findings therefore suggest that the processes and mechanisms of variability emerging in the globalization of English are more complex than previously thought.

  • 14.
    Laitinen, Mikko
    University of Eastern Finland, Finland.
    Ongoing changes in English modals: On the developments in ELF2016Ingår i: New Approaches in English Linguistics: Building Bridges / [ed] Olga Timofeeva, Sarah Chevalier, Anne-Christine Gardner, Alpo Honkapohja, Amsterdam: John Benjamins Publishing Company, 2016, 175-196 s.Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The article investigates how ongoing grammatical change, widely documented in various native varieties, is adopted in advanced lingua franca use of English (ELF). It incorporates a broader perspective on ELF than previously, seeing it as one stage in the long diachronic continuum of Englishes rather than as an entity emerging in spoken interaction. The first part details a corpus project that produces written multi-genre corpora suitable for real-time studies of how ongoing variability is reflected in lingua franca use. It is followed with a case study investigating quantitative patterns in a set of core and emergent modal auxiliaries. The results suggest that in cases of substantial recent changes in the core varieties of English, lingua franca uses polarize the diffusion of change. The conclusions suggest that a diachronically-informed angle to lingua franca use offers a new vantage point not only to ELF but also to ongoing grammatical variability.

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