Facial expression recognition reveals students' engagement in online class: Correlations with six engagement measurements. [PDF]
Hu X, Gao J.
europepmc +1 more source
Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge. [PDF]
Kearney A, Günther J, Pilarski PM.
europepmc +1 more source
LLM services in the management of social communications. [PDF]
Dyachenko Y +4 more
europepmc +1 more source
The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study. [PDF]
Zsoldos I +12 more
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An industry perspective on the use of machine learning in drug and vaccine safety. [PDF]
Painter JL, Kassekert R, Bate A.
europepmc +1 more source
Harnessing artificial intelligence for breakthroughs in lung cancer management: are we ready for the future? [PDF]
Bertolaccini L +6 more
europepmc +1 more source
The effects of emotional intelligence training programs on educators: a systematic review. [PDF]
Aponte ML +2 more
europepmc +1 more source
Addressing loneliness by AI chatbot: a qualitative study of empty-nest elderly. [PDF]
Jiao F, Li M, Liu M, Zhang Q.
europepmc +1 more source
Recent Advancements in Humanoid Robot Heads: Mechanics, Perception, and Computational Systems. [PDF]
Josic K +6 more
europepmc +1 more source
Mitigation of the impact of Virtual Machine Introspection Pauses on Multi-core Virtual Machines
Virtual machine introspection (VMI) is a class of monitoring techniques used by malware analysis sandboxes to analyze the behavior of malware samples. VMI introduces execution pauses that can be detected within the virtualized environment, revealing the usage of a sandbox.
Cosseron, Léo +2 more
openaire +1 more source

