Journal Articles

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Journal Articles


To be included in this collection the journal article must meet the Higher Education Research Data Collection (HERDC) definition of research and:

  • be published in a scholarly journal
  • have been peer-reviewed
  • have an International Standard Serial Number (ISSN) or ISBN

The types of journal articles that may meet the criteria include:

  • commentaries and communications of original research
  • research notes
  • letters to journals, provided that the letter satisfies the HERDC definition of research and the subsequent definitions for journal articles in this section
  • critical scholarly texts which appear in article form
  • articles reviewing multiple works or an entire field of research
  • invited papers in journals
  • articles in journals which are targeted to both scholars and professionals
  • articles in a stand alone series.

The types of journal articles that are unlikely to meet the criteria include:

  • letters to the editor
  • case studies
  • articles designed to inform practitioners on existing knowledge in a professional field
  • articles in newspapers and popular magazines
  • editorials
  • book reviews
  • brief commentaries and communications of original research reviews of art exhibitions, concerts, theatre productions.

Collections in this community

Recent Submissions

  • Wong, GY; Leung, FH; Ling, SH (2013-10)
    Identification of protein-ligand binding site is an important task in structure-based drug design and docking algorithms. In the past two decades, different approaches have been developed to predict the binding site, such ...
  • Li, S; Tan, M; Tsang, I; Kwok, J (IEEE, 2011-01)
    Particle swarm optimizer (PSO) is a powerful optimization algorithm that has been applied to a variety of problems. It can, however, suffer from premature convergence and slow convergence rate. Motivated by these two ...
  • Pan, SJ; Tsang, I; Kwok, J; Yang, Q (IEEE, 2011-01)
    Domain adaptation allows knowledge from a source domain to be transferred to a different but related target domain. Intuitively, discovering a good feature representation across domains is crucial. In this paper, we first ...
  • Zhang, K; Tsang, I; Kwok, J (IEEE, 2009-01)
    Motivated by the success of large margin methods in supervised learning, maximum margin clustering (MMC) is a recent approach that aims at extending large margin methods to unsupervised learning. However, its optimization ...
  • Mao, Q; Tsang, I; Gao, S (IEEE-Inst Electrical Electronics Engineers Inc, 2013-01)
    Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of the major tools used to enhance the semantic understanding of web images. Many multimedia applications (e.g., ...