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Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source

A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications. [PDF]

Front Neurosci
Su Y, Liu Y, Xiao Y, Ma J, Li D.
europepmc   +1 more source

Vocabulary at the Living-Machine Interface: A Narrative Review of Shared Lexicon for Hybrid AI. [PDF]

Biomimetics (Basel)
Prahl A, Li Y.
europepmc   +1 more source

FlowerSec: An AI-Enhanced Security Framework for Clustered Wireless Sensor Networks. [PDF]

Sensors (Basel)
Alhomoud A, Alharbi AR, Altorkmani NA.
europepmc   +1 more source

Energy efficient cyber-physical control of renewable microgrids using edge-AI enabled IoT and secure blockchain coordination. [PDF]

Sci Rep
Liya BS, Harish Kumar E, Morshedur Hassan MM, Nisha P, Aush MG, Anand D.   +5 more
europepmc   +1 more source

Proactive concussion prediction using symmetry-aware multiscale explainable hybrid deep learning and multimodal data fusion. [PDF]

Sci Rep
Babatunde AN, Oyinloye DP, Ogundokun RO, Aluko FA, Babatunde A, Kadri AF, Mohammed SB, Popoola D, Awotunde JB, Bello RW.   +9 more
europepmc   +1 more source

Seeing the Plane: Video Review as a Tool to Improve Total Mesorectal Excision Training

ANZ Journal of Surgery, EarlyView.
Rathin Gosavi, Vignesh Narasimhan, Rebecca Shine, Paul McMurrick, Satish Warrier   +4 more
wiley   +1 more source

A Metaheuristic Approach to the Graceful Labeling Problem

International Journal of Applied Metaheuristic Computing, 2010
In graph theory, a graceful labeling of a graph G = (V, E) with n vertices and m edges is a labeling of its vertices with distinct integers between 0 and m inclusive, such that each edge is uniquely identified by the absolute difference between its endpoints.
Houra Mahmoudzadeh, Kourosh Eshghi
openaire   +3 more sources

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On Farey Graceful Labeling

The National Academy of Sciences, India, 2023
Ajay Kumar, Debdas Mishra, V. K. Srivastava   +2 more
exaly   +2 more sources