Nicholas B. Allen

Orcid: 0000-0002-1086-6639

Affiliations:
  • Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia


According to our database1, Nicholas B. Allen authored at least 33 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Research Protocol for the Google Health Digital Well-being Study.
CoRR, 2023

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Mixed Effects for Nonlinear Personalized Predictions.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

SHAP-based Prediction of Mother's History of Depression to Understand the Influence on Child Behavior.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

2022
Beyond Additive Fusion: Learning Non-Additive Multimodal Interactions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Language Use in Mother-Adolescent Dyadic Interaction: Preliminary Results.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
A longitudinal analysis of puberty-related cortical development.
NeuroImage, 2021

Human-Guided Modality Informativeness for Affective States.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research.
npj Digit. Medicine, 2020

Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study.
CoRR, 2020

2019
Structural covariance networks in children and their associations with maternal behaviors.
NeuroImage, 2019

Interaction between hypothalamic-pituitary-adrenal axis genetic variation and maternal behavior in the prediction of amygdala connectivity in children.
NeuroImage, 2019

2018
Development of subcortical volumes across adolescence in males and females: A multisample study of longitudinal changes.
NeuroImage, 2018

2017
Cortico-amygdalar maturational coupling is associated with depressive symptom trajectories during adolescence.
NeuroImage, 2017

A genetic algorithm with an earliest due date encoding for scheduling automotive stamping operations.
Comput. Ind. Eng., 2017

2015
Statistical differences in speech acoustics of major depressed and non-depressed adolescents.
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015

Detection of depression in adolescents based on statistical modeling of emotional influences in parent-adolescent conversations.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Prefrontal Structural Correlates of Cognitive Control during Adolescent Development: A 4-Year Longitudinal Study.
J. Cogn. Neurosci., 2014

Prediction of major depression in adolescents using an optimized multi-channel weighted speech classification system.
Biomed. Signal Process. Control., 2014

2013
Multichannel Weighted Speech Classification System for Prediction of Major Depression in Adolescents.
IEEE Trans. Biomed. Eng., 2013

Introducing Emotions to the Modelingof Intra- and Inter-Personal Influencesin Parent-Adolescent Conversations.
IEEE Trans. Affect. Comput., 2013

2012
Early prediction of major depression in adolescents using glottal wave characteristics and Teager Energy parameters.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Detection of Clinical Depression in Adolescents' Speech During Family Interactions.
IEEE Trans. Biomed. Eng., 2011

Study of empirical mode decomposition and spectral analysis for stress and emotion classification in natural speech.
Biomed. Signal Process. Control., 2011

2010
On the importance of glottal flow spectral energy for the recognition of emotions in speech.
Proceedings of the INTERSPEECH 2010, 2010

Influence of acoustic low-level descriptors in the detection of clinical depression in adolescents.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Stress Detection Using Speech Spectrograms and Sigma-pi Neuron Units.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Neural Networks and TEO Features for an Automatic Recognition of Stress in Spontaneous Speech.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Content based clinical depression detection in adolescents.
Proceedings of the 17th European Signal Processing Conference, 2009

Stress and emotion recognition using log-Gabor filter analysis of speech spectrograms.
Proceedings of the Affective Computing and Intelligent Interaction, 2009

Mel frequency cepstral feature and Gaussian Mixtures for modeling clinical depression in adolescents.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Recognition of stress in speech using wavelet analysis and Teager energy operator.
Proceedings of the INTERSPEECH 2008, 2008


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