Now showing items 21-40 of 86032

    • Efficient local search for minimum dominating sets in large graphs 

      Fan, Yi; Lai, Y; Li, C; Li, N; Ma, Zongjie; Zhou, Jun; Latecki, LJ; Su, Kaile (Database Systems for Advanced Applications 24th International Conference, DASFAA 2019, 2019)
      The Minimum Dominating Set (MinDS) problem is an NP-hard problem of great importance in both theories and applications. In this paper, we propose a new local search algorithm ScBppw (Score Checking and Best-picking with ...
    • Hyperspectral Image Classification Based on Non-Local Neural Networks 

      Wang, C; Bai, X; Zhou, L; Zhou, J (2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 2019)
      Deep convolutional neural network has been used for pixel-wise hyperspectral image classification. However, convolutional operations only extract features from local neighborhood at a time, which is inefficient to capture ...
    • Theme and Complex Narrative Structure in HBO’s Big Little Lies (2017) 

      McVeigh, Kathryn (Refractory: a journal of entertainment media, 2019)
      This article uses narrative analysis and screenwriting theory to explore how the theme of domestic violence and bullying is used to drive the narrative of the seven-episode HBO limited television series, Big Little Lies ...
    • Deep Unfolded Iterative Shrinkage-Thresholding Model for Hyperspectral Unmixing 

      Qian, Q; Xiong, F; Zhou, J (2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 2019)
      In this paper, we propose a novel approach for spectral unmixing by unfolding the iterative shrinkage-thresholding algorithm (ISTA) into a deep neural network architecture. Spectral unmixing aims at identifying the endmembers ...
    • Attention Networks for Band Weighting and Selection in Hyperspectral Remote Sensing Image Classification 

      Wang, J; Zhou, J; Huang, W; Chen, JF (2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 2019)
      Hyperspectral imaging is widely used in remote sensing because of its capability to capture the detailed spectral reflection of the ground object. The acquired rich band information brings significant benefits to better ...
    • Latent distribution preserving deep subspace clustering 

      Zhou, L; Bai, X; Wang, D; Liu, X; Zhou, J; Hancock, E (28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019)
      Subspace clustering is a useful technique for many computer vision applications in which the intrinsic dimension of high-dimensional data is smaller than the ambient dimension. Traditional subspace clustering methods often ...
    • How Size Matters: Designing Diverse Fragment Libraries for Novel Drug Discovery 

      Shi, Yun; Itzstein, Mark von (Proceedings, 2019)
      Fragment-based drug discovery (FBDD) has become a major strategy to derive novel lead candidates for both new and established therapeutic targets, as it promises efficient exploration of chemical space by employing ...
    • Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images 

      Farooq, Adnan; Jia, Xiuping; Zhou, Jun (IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019)
      Automatic grass weed detection and classification deals with large intraclass challenges since they are similar to grass in shape, sizes and colors. Grass weed detection and mapping is critical for site-specific weed control ...
    • Antibody responses to Plasmodium vivax Duffy binding and Erythrocyte binding proteins predict risk of infection and are associated with protection from clinical Malaria 

      He, WQ; Shakri, AR; Bhardwaj, R; França, CT; Stanisicid, DI; Healer, J; Kiniboro, B; Robinson, LJ; Guillotte-Blisnick, M; Huon, C; Siba, P; Cowman, A; King, CL; Tham, WH; Chitnis, CE; Mueller, I (PLoS Neglected Tropical Diseases, 2019)
      Background: The Plasmodium vivax Duffy Binding Protein (PvDBP) is a key target of naturally acquired immunity. However, region II of PvDBP, which contains the receptor-binding site, is highly polymorphic. The natural ...
    • Segmenting Young Adult University Student's Eating Behaviour: A Theory-Informed Approach 

      Kitunen, Anna; Rundle-Thiele, Sharyn; Carins, Julia (Nutrients, 2019)
      The purpose of this paper is to extend behavioural theory and segmentation application. Specifically, this paper draws on three segmentation bases and behavioural theory that extends focus beyond individual psychological ...
    • Impact of Copyright Law on Mass Digitisation 

      Kariyawasam, Kanchana; Adesanya, Olumayowa (New Zealand Business Law Quarterly, 2019)
      Digitisation plays a major role in preserving the information artefact. Works held in national archives, libraries and museums worldwide are increasingly being digitised, thereby generating greater financial rewards for ...
    • Equity as a consideration in evaluations of health taxes: a systematic review 

      Jain, Vageesh; Crosby, Liam; Baker, Peter; Chalkidou, Kalipso (National Conference on Public Health Science Dedicated to New Research in UK Public Health, 2019)
      Background: Taxing harmful products—such as tobacco, sugar, or alcohol—is a valuable way to improve population health. However, it is argued that excise duties on goods are regressive, because the payment burden falls on ...
    • Unfolding the Mixed and Intertwined: A Multilevel View of Topic Evolution on Twitter 

      Zhao, Y; Wang, C; Han, H; van den Heuvel, WJ; Chi, CH; Li, W (15th International Conference on Advanced Data Mining and Applications (ADMA 2019), 2019)
      Despite the extensive research efforts in information diffusion, most previous studies focus on the speed and coverage of the diffused information in the network. A better understanding on the semantics of information ...
    • Top-N Hashtag Prediction via Coupling Social Influence and Homophily 

      Wang, C; Sun, Z; Zhao, Y; Chi, CH; van den Heuvel, WJ; Lam, KY; Stantic, B (15th International Conference on Advanced Data Mining and Applications (ADMA 2019), 2019)
      Considering the wide acceptance of the social media social influence starts to play very important role. Homophily has been widely accepted as the confounding factor for social influence. While literature attempts to ...
    • A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics 

      Han, H; Zhao, Y; Wang, C; Shu, M; Peng, T; Chi, CH; Yu, Y (15th International Conference on Advanced Data Mining and Applications (ADMA 2019), 2019)
      The big data analytics achieves wide application in a number of areas due to its capability in uncovering hidden patterns, correlations and insights through integrating multiple data sources. However, the interdependence ...
    • Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution 

      Zhao, Y; Wang, C; Chi, CH; Den Heuvel, WJV; Lam, KY; Shu, M (International Joint Conference on Neural Networks (IJCNN 2019), 2019)
      Understanding how people interact and exchange messages on social networks is significant for managing online contents and making predictions of future behaviors. Most existing research on the communication characteristics ...
    • RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning 

      Singh, Jaswinder; Hanson, Jack; Paliwal, Kuldip; Zhou, Yaoqi (Nature Communications, 2019)
      The majority of our human genome transcribes into noncoding RNAs with unknown structures and functions. Obtaining functional clues for noncoding RNAs requires accurate base-pairing or secondary-structure prediction. However, ...
    • Influence maximization based on node attraction model 

      Wang, G; Jiang, J; Li, W; Wang, C (2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019)
      In the research of the problem of maximizing the influence of social networks, a propagation model based on the attraction between nodes is proposed for the calculation of node information propagation influence. In this ...
    • Overall electrochemical splitting of water at the heterogeneous interface of nickel and iron oxide 

      Suryanto, Bryan HR; Wang, Yun; Hocking, Rosalie K; Adamson, William; Zhao, Chuan (Nature Communications, 2019)
      Efficient generation of hydrogen from water-splitting is an underpinning chemistry to realize the hydrogen economy. Low cost, transition metals such as nickel and iron-based oxides/hydroxides have been regarded as promising ...
    • Author Correction: Economic value of protected areas via visitor mental health 

      Buckley, Ralf; Brough, Paula; Hague, Leah; Chauvenet, Alienor; Fleming, Chris; Roche, Elisha; Sofija, Ernesta; Harris, Neil (Nature Communications, 2019)
      Correction to: Nature Communications, published online 12 November 2019. The original version of this Article contained an error in the spelling of the author Alienor Chauvenet, ...