Randomized neural networks for preference learning with physiological data

Randomized neural networks for preference learning with physiological data

The paper discusses the use of randomized neural networks to learn a complete ordering between samples of heart-rate variability data by relying solely on partial and subject-dependent information concerning pairwise relations between samples. We confront two approaches, i.e. Extreme Learning Machin...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors:	Bacciu, D, Colombo, M, Morelli, D, Plans, D
Format:	Journal article
Udgivet:	Elsevier 2018

Lignende værker

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device
af: Morelli, D, et al.
Udgivet: (2017)

Use of a biofeedback breathing app to augment poststress physiological recovery: randomized pilot study
af: Plans, D, et al.
Udgivet: (2019)

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device
af: Davide Morelli, et al.
Udgivet: (2018-05-01)

Development of Digitally Obtainable 10-Year Risk Scores for Depression and Anxiety in the General Population
af: Davide Morelli, et al.
Udgivet: (2021-08-01)

Multitask learning deep neural networks to combine revealed and stated preference data
af: Wang, Shenhao, et al.
Udgivet: (2020)

Efficacy of the digital therapeutic mobile app "BioBase" to reduce stress and improve mental wellbeing among University students: a randomized controlled trial
af: Ponzo, S, et al.
Udgivet: (2020)

Subgroup Preference Neural Network
af: Ayman Elgharabawy, et al.
Udgivet: (2021-09-01)

Measuring Interoception: The CARdiac Elevation Detection Task
af: Sonia Ponzo, et al.
Udgivet: (2021-08-01)

Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks
af: Mikhail Krivonosov, et al.
Udgivet: (2024-12-01)

Graph neural networks for preference social recommendation
af: Gang-Feng Ma, et al.
Udgivet: (2023-05-01)

Data Symmetries and Learning in Fully Connected Neural Networks
af: Fabio Anselmi, et al.
Udgivet: (2023-01-01)

Neural modelling of ranking data with an application to stated preference data
af: Catherine Krier, et al.
Udgivet: (2013-05-01)

Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems
af: Tang, En Lai
Udgivet: (2007)

Exploring the Effects of a Brief Biofeedback Breathing Session Delivered Through the BioBase App in Facilitating Employee Stress Recovery: Randomized Experimental Study
af: Chelidoni, Olga, et al.
Udgivet: (2020-10-01)

Deep neural networks and transfer learning on a multivariate physiological signal dataset
af: Bizzego, Andrea, et al.
Udgivet: (2021)

Deep Neural Networks and Transfer Learning on a Multivariate Physiological Signal Dataset
af: Andrea Bizzego, et al.
Udgivet: (2021-03-01)

Neural Network Compression via Low Frequency Preference
af: Chaoyan Zhang, et al.
Udgivet: (2023-06-01)

Physiology of neural networks in the dorsal raphe nucleus
af: O'Sullivan, R
Udgivet: (2023)

Exploration of consumer preference based on deep learning neural network model in the immersive marketing environment.
af: Qiang Zheng, et al.
Udgivet: (2022-01-01)

Physiological Inspired Deep Neural Networks for Emotion Recognition
af: Pedro M. Ferreira, et al.
Udgivet: (2018-01-01)

RALR: Random Amplify Learning Rates for Training Neural Networks
af: Jiali Deng, et al.
Udgivet: (2021-12-01)

Entropy Learning in Neural Network
af: Geok See Ng, et al.
Udgivet: (2017-12-01)

Conditional random fields as recurrent neural networks
af: Zheng, S, et al.
Udgivet: (2016)

An exaggerated preference for simple neural network models of signal evolution?
af: Dawkins, MS, et al.
Udgivet: (1995)

Graph Neural Network Recommendation Model Integrating User Preferences
af: XIONG Zhong-min, SHU Gui-wen, GUO Huai-yu
Udgivet: (2022-06-01)

Effect of sparsity on network stability in random neural networks obeying Dale's law
af: Isabelle D. Harris, et al.
Udgivet: (2023-11-01)

Sample Reduction for Physiological Data Analysis Using Principal Component Analysis in Artificial Neural Network
af: Cid Mathew Santiago Adolfo, et al.
Udgivet: (2021-09-01)

Machine learning of large-scale multimodal brain imaging data reveals neural correlates of hand preference
af: Pattarawat Chormai, et al.
Udgivet: (2022-11-01)

SPECIALIZATION, ADAPTATION AND OPTIMIZATION IN DILUTE RANDOM ATTRACTOR NEURAL NETWORKS
af: Sherrington, D, et al.
Udgivet: (1991)

THEORY OF ASSOCIATIVE MEMORY IN RANDOMLY CONNECTED BOOLEAN NEURAL NETWORKS
af: Wong, K, et al.
Udgivet: (1989)

Correction: Exploration of consumer preference based on deep learning neural network model in the immersive marketing environment.
af: Qiang Zheng, et al.
Udgivet: (2024-01-01)

Learning rates as a function of batch size: a random matrix theory approach to neural network training
af: Granziol, D, et al.
Udgivet: (2022)

Neural-circuit basis of song preference learning in fruit flies
af: Keisuke Imoto, et al.
Udgivet: (2024-07-01)

Use of neural networks and novelty to determine periods of physiological instability prior to clinical events
af: Braithwaite, E, et al.
Udgivet: (2003)

Neuroevolutionary reinforcing learning of neural networks
af: Y. A. Bury, et al.
Udgivet: (2022-01-01)

The association between work-related rumination and heart rate variability: a field study
af: Cropley, M, et al.
Udgivet: (2017)

Neural networks optimally trained with noisy data.
af: Wong, K, et al.
Udgivet: (1993)

The Role of DNA Damage in Neural Plasticity in Physiology and Neurodegeneration
af: Anna Konopka, et al.
Udgivet: (2022-06-01)

A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks
af: Elkin Gelvez-Almeida, et al.
Udgivet: (2024-05-01)

Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial
af: Ponzo, Sonia, et al.
Udgivet: (2020-04-01)