ORCID Profile
0000-0002-5211-0274
Current Organisations
Charles Sturt University
,
SBS Swiss Business School
,
University of Adelaide
,
Baron Consulting
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Publisher: BON VIEW PUBLISHING PTE
Date: 12-07-2023
DOI: 10.47852/BONVIEWJDSIS32021131
Abstract: This research establishes an optimal classification model for online SMS spam detection by utilizing topological sentence transformer methodologies. The study is a response to the increasing sophisticated and disruptive activities of malicious actors. We present a viable lightweight integration of pre-trained NLP repository models with sklearn functionality. The study design mirrors the spaCy pipeline component architecture in a downstream sklearn pipeline implementation and introduces a user-extensible spam SMS solution. We leverage large-text data models from HuggingFace (roberta-base) via spaCy and apply linguistic NLP transformer methods to short-sentence NLP datasets. We compare the F1-scores of models and iteratively retest models using a standard sklearn pipeline architecture. Applying spaCy transformer modelling achieves an optimal F1-score of 0.938, a result comparable to existing research output from contemporary BERT/SBERT/‘black box’ predictive models. This research introduces a lightweight, user-interpretable, standardized, predictive SMS-spam detection model, that utilizes semantically similar paraphrase/ sentence transformer methodologies and generates optimal F1-scores for an SMS dataset. Significant F1-scores are also generated for a Twitter evaluation set, indicating potential real-world suitability.
Publisher: Elsevier BV
Date: 12-2021
DOI: 10.1016/J.EARLHUMDEV.2021.105481
Abstract: Developmental monitoring, performed using culturally relevant tools, is of critical importance for all young children. The ASQ-TRAK is the culturally and linguistically adapted Ages and Stages Questionnaire (ASQ-3), a developmental screening tool, for Australian Aboriginal children. While the ASQ-TRAK has been well received in practice, investigating its psychometric properties will enable professionals to make informed decisions about its use. To conduct a rigorous validation study of the ASQ-TRAK by applying Kane's argument-based approach. The ASQ-TRAK, Bayley-III and/or BDI-2 were administered cross-sectionally to 336 Australian Aboriginal children aged 2-48 months across ten participating sites in the Northern Territory and South Australia. A s le of staff and caregivers completed feedback surveys about the ASQ-TRAK. ASQ-TRAK domain scores were moderately positively correlated with corresponding domain scores on the Bayley-III or BDI-2. Inter-rater and inter-instrument reliability were high. Sensitivity (83%), specificity (83%) and negative predictive value (99%) were acceptable. Staff and caregivers expressed high levels of satisfaction with the ASQ-TRAK. Regular developmental screening can provide important information about developmental vulnerability and the need for services. The ASQ-TRAK should be administered by trained Aboriginal community-based workers and the implementation approach carefully planned. Areas for future research include longitudinal follow-up of children, investigating existing norms and cut-off scores, and considering the appropriateness of the ASQ-TRAK with Aboriginal people from different locations. The ASQ-TRAK has the potential to fill an important gap by enabling better access to high-quality developmental monitoring and targeted early intervention.
Publisher: Elsevier BV
Date: 2022
Publisher: Yayasan Corolla Education Centre
Date: 31-03-2022
Abstract: COVID-19 reached the Australian shores by the end of January 2020 with the disruptive lockdowns commencing in March and continuing on and off till October, 2021. The initial lockdowns have proved to be particularly disruptive to the service industries’ operations as they resulted in dramatic and forced migration of the traditionally brick-and-mortar or hybrid (brick-and-click) operations into the digital space. Being un unplanned move, it has caught many organisations unprepared and without a carefully crafted step-by-step digital transformation plan. In many of the instances, the transition had to be orchestrated literally overnight’. The main objective of this paper is to identify and to examine current state of the digital transformation of the service delivery processes by the means of investigating both literature and the Open Source Data available on the service industries and sectors both locally (in Australia) and internationally. The study is part of the preliminary investigation of the digital transformation ‘’boosters’’ and ‘’blockers’’ with the aim of establishing the Digital Transformation (DT) Framework as well as industry-wide practices for implementation and management of digital transformation programs.
Publisher: BON VIEW PUBLISHING PTE
Date: 09-2023
Publisher: Hindawi Limited
Date: 31-05-2020
DOI: 10.1111/PEDI.13025
No related grants have been discovered for Michael Baron.