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Editorial: Recognizing the state of emotion, cognition and action from physiological and behavioral signals

Chen, S Cho, Y Yu, K Ferrari, LM Bremond, F

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Improving Teaching and Learning in Higher Education through Machine Learning: Proof of Concept’ of AI’s Ability to Assess the Use of Key Microskills

Dann, C O’Neill, S Getenet, S Chakraborty, S Saleh, K Yu, K

Advances in artificial intelligence (AI), including intelligent machines, are opening new possibilities to support teaching and learning in higher education. This research has found a ‘proof of con...

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Authentic assessment: from panacea to criticality

Fawns, T Bearman, M Dawson, P Nieminen, JH Ashford-Rowe, K Willey, K Jensen, LX Damsa, C Press, N

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An enhanced discrete particle swarm optimization for structural k-Anonymity in social networks

Yazdanjue, N Yazdanjouei, H Karimianghadim, R Gandomi, AH

Recently, social network usage has exhibited explosive growth, leading to a huge amount of users’ private data available. The main challenge in releasing social network data publicly is the protect...

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Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence

Gharoun, H Khorshidi, MS Yazdanjue, N Chen, F Gandomi, AH

This paper introduces a novel classification method that utilizes genetic programming (GP). The primary purpose of the proposed method is to enhance future generations of GP, through continuously r...

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Exploring Cellular Automata Learning: An Innovative Approach for Secure and Imperceptible Digital Image Watermarking

Bhat, IK Qadir, F Neshat, M Gandomi, AH

As technology and multimedia production have advanced, there has been a significant rise in attacks on digital media, resulting in duplicated, fraudulent, and altered data as well as the infringeme...

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A Multimodel-Based Screening Framework for C-19 Using Deep Learning-Inspired Data Fusion.

Shankar, A Rizwan, P Mekala, MS Elyan, E Gandomi, AH Maple, C Rodrigues, JJPC

In recent times, there has been a notable rise in the utilization of Internet of Medical Things (IoMT) frameworks particularly those based on edge computing, to enhance remote monitoring in healthc...

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People RDC framework for advanced analytics for national healthcare research infrastructure

Armstrong, N Bharathy, G Buchorn, K Mehta, D Mengersen, K Papaioannou, A Perrin, D Tanaka, E

This document reports the findings of a program of work undertaken to develop a national infrastructure framework for the support of advanced analytics for healthcare research. The Australian ...

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People RDC national pathfinder project: exploring federated learning tools, opportunities and resource requirements

Holloway, L Anees, A Al Moiuee, D Uddin, A Haider, A Gorse, D Ryan, S Dongang, W Vafaee, F Bharathy, G

Pathfinder: Exploring Federated Learning Tools, Opportunities and Resource Requirements In the fourth quarter of 2023, the ARDC reached out to the ACDN, who had previously collaborated on a federa...

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Ethical ChatGPT: Concerns, Challenges, and Commandments

Zhou, J Müller, H Holzinger, A Chen, F

Large language models, e.g., Chat Generative Pre-Trained Transformer (also known as ChatGPT), are currently contributing enormously to making artificial intelligence even more popular, espe...

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