Results 81 to 90 of about 427,410 (333)
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Advanced Intelligent Discovery, EarlyView.Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
Advanced Intelligent Systems, EarlyView.A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set
Advanced Intelligent Systems, EarlyView.In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng +4 more
wiley +1 more source
Musical Preferences are Linked to Cognitive Styles
PLoS ONE, 2015 Why do we like the music we do? Research has shown that musical preferences and personality are linked, yet little is known about other influences on preferences such as cognitive styles. To address this gap, we investigated how individual differences in
David M. Greenberg +4 more
semanticscholar +1 more source
Advanced Intelligent Systems, EarlyView.This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani +2 more
wiley +1 more source
Psychoacoustic investigation of listening with quadrophonic earphones
Archives of Acoustics, 2016 Despite the existence of a variety of designs of quadrophonic earphones, there have been no papers concerned with the psychoacoustic phenomena accompanying quadrophonic earphone projection.
Tomasz ŁĘTOWSKI, Wojciech MAKOWSKI
doaj
Songs as Elements in the Generic Structure of Film Musicals
ELOPE, 2016 The paper focuses on the description of film musicals as a subgenre of the genre family of musicals. Their dramatic structure is examined in terms of the generic elements that constitute the progression of a story expressed through the combination of ...
Katja Plemenitaš
doaj +1 more source
A Literature Survey on Potential Private User Information Leakage in Metaverse Applications
Advanced Intelligent Systems, EarlyView.This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley +1 more source
Musical Offerings, 2015 This project is an analysis of the construction of American Musical Theatre. The research for this project has been drawn from direct quotes and writings from Musical Theatre writers, scores and scripts, and from historical books.
Kevin A. Hicks
doaj +1 more source
Learning Optimal Crowd Evacuation from Scratch Through Self‐Play
Advanced Intelligent Systems, EarlyView.How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri +3 more
wiley +1 more source