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Informatics, Volume 12, Issue 1

March 2025 - 33 articles

Cover Story: Concept drift, a phenomenon that can lead to the degradation of classifier performance over time, is commonly addressed by retraining the classifier without considering the properties of drift. Drift descriptors provide a means to explain how new concepts replace existing ones, offering valuable insights into the nature of drift. In this context, this work examines the impact of four descriptors: severity, recurrence, frequency, and speed. The findings reveal three key conclusions: (i) reaction strategies must be tailored to different types of drift; (ii) severity, recurrence, and frequency provide the highest impact on drift, whereas speed has minimal influence; and (iii) there is a need to incorporate mechanisms for describing concept drift into the strategies designed to address it. View this paper
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Articles (33)

  • Article
  • Open Access
3 Citations
3,788 Views
25 Pages

Background/Objectives: With advancements in Large Language Models (LLMs), counseling chatbots are becoming essential tools for delivering scalable and accessible mental health support. Traditional evaluation scales, however, fail to adequately captur...

  • Article
  • Open Access
2,692 Views
25 Pages

Survival analysis is a crucial statistical technique used to estimate the anticipated duration until a specific event occurs. However, current methods often involve discretizing the time scale and struggle with managing absent features within the dat...

  • Article
  • Open Access
2,330 Views
38 Pages

Massive Open Online Courses (MOOCs) have become increasingly prevalent in higher education, with the COVID-19 pandemic further accelerating their integration, particularly in developing countries. While MOOCs offered a vital solution for educational...

  • Article
  • Open Access
5 Citations
6,282 Views
37 Pages

This study compared the efficacy of AI neuroscience tools versus traditional design methods in enhancing viewer engagement with political campaign materials from the Harris–Trump presidential campaigns. Utilising a mixed-methods approach, we in...

  • Article
  • Open Access
1 Citations
4,965 Views
15 Pages

Can AI Technologies Support Clinical Supervision? Assessing the Potential of ChatGPT

  • Valeria Cioffi,
  • Ottavio Ragozzino,
  • Lucia Luciana Mosca,
  • Enrico Moretto,
  • Enrica Tortora,
  • Annamaria Acocella,
  • Claudia Montanari,
  • Antonio Ferrara,
  • Stefano Crispino and
  • Elena Gigante
  • + 7 authors

Clinical supervision is essential for trainees, preventing burnout and ensuring the effectiveness of their interventions. AI technologies offer increasing possibilities for developing clinical practices, with supervision being particularly suited for...

  • Article
  • Open Access
2 Citations
4,210 Views
15 Pages

A Pilot Study Using Natural Language Processing to Explore Textual Electronic Mental Healthcare Data

  • Gayathri Delanerolle,
  • Yassine Bouchareb,
  • Suchith Shetty,
  • Heitor Cavalini and
  • Peter Phiri

Mental health illness is the single biggest cause of inability within the UK, contributing up to 22.8% of the whole burden compared to 15.9% for cancer and 16.2% for cardiovascular disease. The more extensive financial costs of mental ailments in Bri...

  • Article
  • Open Access
16 Citations
6,694 Views
23 Pages

Gamification in Virtual Reality Museums: Effects on Hedonic and Eudaimonic Experiences in Cultural Heritage Learning

  • Sumalee Sangamuang,
  • Natchaya Wongwan,
  • Kannikar Intawong,
  • Songpon Khanchai and
  • Kitti Puritat

Virtual museums powered by virtual reality (VR) technology serve as innovative platforms for cultural preservation and education, combining accessibility with immersive user experiences. While gamification has been widely explored in educational and...

  • Article
  • Open Access
3,191 Views
16 Pages

Despite the growing presence of digital Virtual YouTubers (Vtubers) in educational settings, there is limited empirical evidence on their effectiveness in language acquisition. In this investigation, we delved into the realm of digital education to a...

  • Article
  • Open Access
7 Citations
6,503 Views
71 Pages

Fault diagnostics in internal combustion engines (ICEs) is vital for optimal operation and avoiding costly breakdowns. This paper reviews methodologies for ICE fault detection, including model-based and data-driven approaches. The former uses physica...

  • Article
  • Open Access
1 Citations
6,200 Views
18 Pages

Digital Media Victimization Among Older Adults in Upper-Southern Thailand

  • Pimpisa Pituk,
  • Nirachon Chutipattana,
  • Pussadee Laor,
  • Thitipong Sukdee,
  • Jiraprapa Kittikun,
  • Witchayaporn Jitwiratnukool,
  • Rohmatul Fajriyah and
  • Wanvisa Saisanan Na Ayudhaya

Online fraud threatens the well-being of older adults, with disparities in digital literacy and socioeconomic conditions amplifying their vulnerability. This study examined digital literacy and fraud victimization behavior among older adults in urban...

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Informatics - ISSN 2227-9709