Results 101 to 110 of about 5,796 (260)

UrbanClipAtlas: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos

Computer Graphics Forum, EarlyView.
Abstract Extracting actionable insights from long‐duration urban videos is often labor‐intensive: analysts must manually sift through raw footage to pinpoint target events or uncover broader behavioral trends. In this work, we present UrbanClipAtlas, a visual analytics system for exploring long urban videos recorded at street intersections ...
Joel Perca, Luis Sante, Juanpablo Heredia, Joao Rulff, Claudio Silva, Jorge Poco   +5 more
wiley   +1 more source

Empowering Digital Education with ChatGPT: From Theoretical to Practical

Journal of Teaching and Learning
The book ‘Empowering Digital Education with ChatGPT’ by Mohamed Lahby offers a fresh look at how ChatGPT can revolutionize language teaching through innovative approaches.
Irvan Syahrizal
doaj   +1 more source

Can LLMs Simulate Target Users in Visualization Case Studies?

Computer Graphics Forum, EarlyView.
Abstract Case studies are central to evaluating visualization research as they provide evidence for how the developed approaches support real users, real analytical work, and real data. Conducting such studies can be challenging, since target users with relevant domain expertise are often scarce or even entirely unavailable, while the visualization ...
Jena Satkunarajan, Moataz Abdelaal, Steffen Koch, Kuno Kurzhals, Daniel Weiskopf   +4 more
wiley   +1 more source

Attitudes of students of the faculty of arts, departments of library and information, and media at Alexandria University toward the use of artificial intelligence applications: chat GPT as a model

Cybrarians Journal
Artificial intelligence (AI) has profoundly influenced various sciences, with Chat GPT emerging as a key tool for researchers, programmers, and students.
Sarah Mahmoud
doaj   +1 more source

SlideSAVR: Enabling Live Analysis during Data Presentations via Multimodal Sketching and Voice Input

Computer Graphics Forum, EarlyView.
Abstract Interpersonal communication in data science can yield sought‐after insights, but presentation environments are often not conducive for live analysis, forcing the process to move offline. Through a formative survey with 16 participants, we identified both technical (e.g., complexity of tools) and psychological (e.g., pressure of programming ...
C. Han, M.M. Tanjim, S. Guo, C. Dierk, K.E. Isaacs, J. Hoffswell   +5 more
wiley   +1 more source

Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets

IEEE Access
This study proposes a novel semi-supervised multi-label emotion classification approach for French tweets based on pseudo-labeling. Human subjectivity in emotional expression makes it difficult for a machine to learn.
Usman Malik, Simon Bernard, Alexandre Pauchet, Clement Chatelain, Romain Picot-Clemente, Jerome Cortinovis   +5 more
doaj   +1 more source

Visual Cues for Logical Reasoning about Text Enhance Metacognitive Sensitivity

Computer Graphics Forum, EarlyView.
Abstract An important part of critical thinking is analyzing the logical structure of inferences made in text, such as checking whether if–then rules appearing in legal regulations or scientific arguments are applied correctly. Metacognitive sensitivity, defined as feeling confident about one's correct answers and uncertain about incorrect ones, is an ...
A. Schlieder, J. Rummel, F. Sadlo
wiley   +1 more source

Death, Grief and Collective Care in the Materialist Spirituality of a Forest Preschool

Children &Society, EarlyView.
ABSTRACT In a time when material reality appears disconnected from the spiritual world and meaning is sought through overconsumption of the Earth's material sphere, this study explores how death and grief are narrated as part of the ‘stories of the land’ that unite the material and spiritual worlds in a forest preschool in southeastern Finland ...
Emma Kurenlahti, Saila Poulter, Niklas A. Chimirri, Lasse Lipponen   +3 more
wiley   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

Chat-GPT as a transpiler for mobile development : Chat-GPT and SequalsK: A comparative analysis.

The mobile market is dominated by the two industry giants, Google and Apple. These two companies, as of January 2024, control over 95% of the global market share (Buchholz, 2023). Consequently, developing applications for both Android and iOS platforms has become a common strategy for companies aiming to reach a broad user base.
Karlsson, Harry Karl Filip, Ludvig, Krantzén   +1 more
openaire   +1 more source