Computing and Mathematical Sciences

 

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

Sub-communities within Computing and Mathematical Sciences

Collections in Computing and Mathematical Sciences

  • Predicting Steam Turbine Power Generation: A Comparison of Long Short-Term Memory and Willans Line Model

    Pasandideh, Mostafa; Taylor, Mathew; Tito, Shafiqur Rahman; Atkins, Martin; Apperley, Mark (MDPI AG, 2024-01-10)
    This study focuses on using machine learning techniques to accurately predict the generated power in a two-stage back-pressure steam turbine used in the paper production industry. In order to accurately predict power ...
  • Designing for Inaccessible People and Places

    Bowen, Judy; Hinze, Annika (SPRINGER INTERNATIONAL PUBLISHING AG, 2021-01-01)
    New Zealand forestry has the highest number of accidents and fatalities than any other NZ industry. Worker fatigue, work environment, and worker demographics all contribute to these high numbers. We have been investigating ...
  • Hitting the target: stopping active learning at the cost-based optimum

    Pullar-Strecker, Zac; Dost, Katharina; Frank, Eibe; Wicker, Jörg (Springer Science and Business Media LLC, 2022)
    Active learning allows machine learning models to be trained using fewer labels while retaining similar performance to traditional supervised learning. An active learner selects the most informative data points, requests ...
  • Balancing performance and energy consumption of bagging ensembles for the classification of data streams in edge computing

    Cassales, Guilherme; Gomes, Heitor Murilo; Bifet, Albert; Pfahringer, Bernhard; Senger, Herme (IEEE, 2022)
    In recent years, the Edge Computing (EC) paradigm has emerged as an enabling factor for developing technologies like the Internet of Things (IoT) and 5G networks, bridging the gap between Cloud Computing services and ...
  • Reading Lists Systems' pedagogical features: a comparative analysis

    Kumara, P. P. N. V.; Hinze, Annika; Vanderschantz, Nicholas; Timpany, Claire (IEEE, 2023-06)
    Reading Lists Systems are a pedagogical tool used in tertiary education to streamline the creation and management of course reading lists and make copyright compliance easier. This paper explores the design of current ...
  • KEA: Practical automatic keyphrase extraction

    Witten, Ian H.; Paynter, Gordon W.; Frank, Eibe; Gutwin, Carl; Nevill-Manning, Craig G. (Information Science Publishing, 2005)
    Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea identifies candidate keyphrases using lexical ...
  • Interactive machine learning: letting users build classifiers

    Ware, Malcolm; Frank, Eibe; Holmes, Geoffrey; Hall, Mark; Witten, Ian H. (Elsevier, 2001-09-01)
    According to standard procedure, building a classifier using machine learning is a fully automated process that follows the preparation of training data by a domain expert. In contrast, interactive machine learning engages ...
  • Applying additive logistic regression to data derived from sensors monitoring behavioral and physiological characteristics of dairy cows to detect lameness

    Kamphuis, C; Frank, Eibe; Burke, JK; Verkerk, GA; Jago, JG (ELSEVIER SCIENCE INC, 2013-11-01)
    The hypothesis was that sensors currently available on farm that monitor behavioral and physiological characteristics have potential for the detection of lameness in dairy cows. This was tested by applying additive logistic ...
  • Ensembles of balanced nested dichotomies for multi-class problems

    Dong, Lin; Frank, Eibe; Kramer, Stefan (SPRINGER-VERLAG BERLIN, 2005-01-01)
    A system of nested dichotomies is a hierarchical decomposition of a multi-class problem with c classes into c−1 two-class problems and can be represented as a tree structure. Ensembles of randomly generated nested dichotomies ...
  • Text categorization using compression models

    Frank, Eibe; Chui, Chang; Witten, Ian H. (IEEE, 2000-03)
    Summary form only given. Test categorization is the assignment of natural language texts to predefined categories based on their concept. The use of predefined categories implies a "supervised learning" approach to ...
  • On approximating the shape of one-dimensional posterior marginals using the low discrepancy points

    Joshi, Chaitanya; Brown, Paul T.; Joe, Stephen (TAYLOR & FRANCIS INC, 2021-11-29)
    A method to approximate Bayesian posterior by evaluating it on a low discrepancy sequence (LDS) point set has recently been proposed. However, this method does not focus on finding the posterior marginals. Finding posterior ...
  • Visualizing class probability estimators

    Frank, Eibe; Hall, Mark (SPRINGER-VERLAG BERLIN, 2003-01-01)
    Inducing classifiers that make accurate predictions on future data is a driving force for research in inductive learning. However, also of importance to the users is how to gain information from the models produced. ...
  • Oblique and rippled heliosphere structures from the Interstellar Boundary Explorer.

    Zirnstein, Eric J.; Shrestha, Bishwas L.; McComas, David J.; Dayeh, Maher A.; Heerikhuisen, Jacob; Reisenfeld, Daniel B.; Sokół, Justyna M.; Swaczyna, Paweł (Nature Research, 2022)
    Past analysis has shown that the heliosphere structure can be deduced from correlations between long-scale solar wind pressure evolution and energetic neutral atom emissions. However, this required spatial and temporal ...
  • Numerical confirmations of joint spike transitions in G (2) cosmologies

    Lim, Woei Chet (IOP Publishing Ltd, 2022-03-17)
    We produce numerical evidence that the joint spike transitions between Kasner eras of G2 cosmologies are described by the non-orthogonally transitive G2 spike solution. A new matching procedure is developed for this purpose.
  • Logistic model trees

    Landwehr, Niels; Hall, Mark; Frank, Eibe (SPRINGER-VERLAG BERLIN, 2003-01-01)
    Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. For predicting numeric quantities, there has been ...
  • Adaptive Neural Networks for Online Domain Incremental Continual Learning

    Gunasekara, Nuwan; Gomes, Heitor; Bifet, Albert; Pfahringer, Bernhard (Springer Nature, 2022)
    Continual Learning (CL) poses a significant challenge to Neural Network (NN)s, where the data distribution changes from one task to another. In Online domain incremental continual learning (OD-ICL), this distribution change ...
  • Electromyography based gesture decoding employing few-shot learning, transfer learning, and training from scratch

    Godoy, Richardo V.; Guan, Bonnie; Sanches, Felipe; Dwivedi, Anany; Liarokapis, Minas (Institute of Electrical and Electronics Engineers, 2023-09-27)
    Over the last decade several machine learning (ML) based data-driven approaches have been used for Electromyography (EMG) based control of prosthetic hands. However, the performance of EMG-based frameworks can be affected ...
  • Ensembles of nested dichotomies for multi-class problems

    Frank, ET; Kramer, Stefan (ACM Press, 2004-07-04)
    Nested dichotomies are a standard statistical technique for tackling certain polytomous classification problems with logistic regression. They can be represented as binary trees that recursively split a multi-class ...
  • Bottom-up propositionalization

    Kramer, Stefan; Frank, Eibe (CEUR Workshop Proceedings, 2000-07)
    In this paper, we present a new method for propositionalization that works in a bottom-up, data-driven manner. It is tailored for biochemical databases, where the examples are 2-D descriptions of chemical compounds. The ...
  • Light, camera, actions: characterizing the usage of IXPs' action BGP communities

    Mazzola, Fabricio; Marcos, Pedro; Barcellos, Marinho (ACM, 2022-12-06)
    Border Gateway Protocol (BGP) communities, an optional message attribute, allow network operators to tag BGP announcements and act on routing decisions. Although widely used, it is so far unclear how prevalent the different ...

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