Nicholas B. Allen
Orcid: 0000-0002-1086-6639Affiliations:
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
According to our database1,
Nicholas B. Allen
authored at least 34 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on orcid.org
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Bibliography
2024
Proceedings of the 26th International Conference on Multimodal Interaction, 2024
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
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022
2021
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
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
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 11th Annual Conference of the International Speech Communication Association, 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
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
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
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008