This collection houses research from the Faculty of Computing and Mathematical Sciences at the University of Waikato.

  • All for one and one for all: reconciling research and production values at the HathiTrust through user-scripting

    Bainbridge, David; Downie, J. Stephen (IEEE, 2017)
    This article details a practical technique that safely reconciles the production stability and integrity of the HathiTrust Digital Library (HTDL) with the riskier and potentially disruptive experimental functionalities ...
  • Taking a book off the shelf in a virtual library

    Cunningham, Sally Jo; Rogers, Bill; Kim, Jane (IEEE, 2017)
    We present the results of a small-scale study in which participants interacted with a physical book. Their book selection and book opening gestures provide design insights for the interface to a virtual reality library.
  • Big brother is watching you - now in a doubleplusgood way

    Sterling, Corey; St Pierre, Carlin; Bainbridge, David (IEEE, 2017)
    This paper reports on the progress made with our X Marks The Spot (XMTS) system. In XMTS we make a fundamental change to the compositing operation in a desktop manager, storing all text-display events and their related ...
  • Large-scale automatic species identification

    Mo, Jeff; Frank, Eibe; Vetrova, Varvara (Springer, 2017)
    The crowd-sourced Naturewatch GBIF dataset is used to obtain a species classification dataset containing approximately 1.2 million photos of nearly 20 thousand different species of biological organisms observed in their ...
  • Adaptive random forests for evolving data stream classification

    Gomes, Heitor M.; Bifet, Albert; Read, Jesse; Barddal, Jean Paul; Enembreck, Fabrício; Pfharinger, Bernhard; Holmes, Geoffrey; Abdessalem, Talel (Springer, 2017)
    Random forests is currently one of the most used machine learning algorithms in the non-streaming (batch) setting. This preference is attributable to its high learning performance and low demands with respect to input ...
  • Epibiotic pressure contributes to biofouling invader success

    Leonard, Kaeden; Hewitt, Chad L.; Campbell, Marnie L.; Primo, Campbell; Miller, Steven D. (Nature Publishing Group, 2017)
    Reduced competition is a frequent explanation for the success of many introduced species. In benthic marine biofouling communities, space limitation leads to high rates of overgrowth competition. Some species can utilise ...
  • Detecting sentiment change in Twitter streaming data

    Bifet, Albert; Holmes, Geoffrey; Pfahringer, Bernhard; Gavaldà, Ricard (JMLR, 2011)
    MOA-TweetReader is a real-time system to read tweets in real time, to detect changes, and to find the terms whose frequency changed. Twitter is a micro-blogging service built to discover what is happening at any moment in ...
  • Accelerating the XGBoost algorithm using GPU computing

    Mitchell, Rory; Frank, Eibe (2017)
    We present a CUDA-based implementation of a decision tree construction algorithm within the gradient boosting library XGBoost. The tree construction algorithm is executed entirely on the graphics processing unit (GPU) and ...
  • Propositionalisation of multi-instance data using random forests

    Frank, Eibe; Pfahringer, Bernhard (Springer, 2013)
    Multi-instance learning is a generalisation of attribute-value learning where examples for learning consist of labeled bags (i.e. multi-sets) of instances. This learning setting is more computationally challenging than ...
  • Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams

    Sakthithasan, Sakthithasan; Pears, Russel; Bifet, Albert; Pfahringer, Bernhard (IEEE, 2015)
    In this research, we apply ensembles of Fourier encoded spectra to capture and mine recurring concepts in a data stream environment. Previous research showed that compact versions of Decision Trees can be obtained by ...
  • A survey on feature drift adaptation: Definition, benchmark, challenges and future directions

    Barddal, Jean Paul; Gomes, Heitor Murilo; Enembreck, Fabricio; Pfahringer, Bernhard (Elsevier, 2017)
    Data stream mining is a fast growing research topic due to the ubiquity of data in several real-world problems. Given their ephemeral nature, data stream sources are expected to undergo changes in data distribution, a ...
  • Anomalous transport of cosmic rays in a nonlinear diffusion model

    Litvinenko, Yuri E.; Fichtner, Horst; Walter, Dominik (The American Astronomical Society, 2017)
    We investigate analytically and numerically the transport of cosmic rays following their escape from a shock or another localized acceleration site. Observed cosmic-ray distributions in the vicinity of heliospheric and ...
  • The Hermite normal form for certain rank-1 circulant and skew-circulant lattice rules

    Joe, Stephen (Elsevier, 2016)
    Characterisations are provided of the Hermite normal form of certain integer circulant and skew-circulant matrices. These matrices are associated with rank-1 circulant and skew-circulant lattice rules. Previous computer ...
  • Design and the fourth industrial revolution

    Garcia Ferrari, Tomás (European Academy of Design, 2017)
    The nature of design has always been related to socio-technological forces. In the twentieth century, the first and second orders of design were central in the establishment of graphic and industrial design. In the early ...
  • Corrigendum: A conjecture of De Koninck regarding particular values of the sum of divisors function

    Broughan, Kevin A.; Delbourgo, Daniel (Elsevier, 2017)
    The proof of Lemma 7 of [1]is made complete by giving the proof of a missing Case (4). This omission was pointed out to the authors by Min Tang, to whom we are most grateful. The same definitions and notation are employed ...
  • Measuring what matters: metrics, incentives and openness

    Nichols, David M.; Twidale, Michael B. (2017-06-20)
    Invited Webinar for the Australasian Open Access Strategy Group (AOASG)
  • I am Supernova

    Soo, Chin-En Keith (Domus Argenia Publisher, 2016)
    “I am supernova” is an artistic visualisation of the “The Big Five Personality Test”. The test explores personality of participant with the highly respected Five Factor model (AKA the Big Five). The test result will provide ...
  • Using machine learning techniques to track individuals & their fitness activities

    Reichherzer, Thomas; Timm, Mikayla; Earley, Nathan; Reyes, Nathaniel; Kumar, Vimal (ISCA, 2017)
    The use of wearable devices for fitness and health tracking is on an upward curve with a range of devices now available from a number of manufacturers. The devices work with smart devices to exchange data via Bluetooth ...
  • Reasoning about interactive systems in dynamic situations of use

    Bowen, Judy; Hinze, Annika (Springer International Publishing, 2017)
    Interactive software, systems and devices are typically designed for a specific (set of) purpose(s) and the design process used ensures that they will perform satisfactorily when used as specified. In many cases, users ...
  • Topics of formal methods in HCI

    Bowen, Judy; Dix, Alan; Palanque, Palanque; Weyers, Benjamin (Springer International Publishing, 2017)
    In this chapter, we present an overview of some of the general themes and topics that can be seen in research into formal methods in human–computer interaction. We discuss how the contents of the rest of the book relate ...

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