Daniel Blackburn
Orcid: 0000-0001-8886-1283
According to our database1,
Daniel Blackburn
authored at least 28 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 1970, "".
Timeline
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Bibliography
2024
Dementia classification using a graph neural network on imaging of effective brain connectivity.
Comput. Biol. Medicine, January, 2024
2023
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data.
CoRR, 2023
Understanding Driving Behaviour in Individuals with Mild Cognitive Impairments: A Naturalistic Study.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2023
Investigating Visual Features for Cognitive Impairment Detection Using In-the-wild Data.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023
Identifying People with Mild Cognitive Impairment at Risk of Developing Dementia using Speech Analysis.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores.
Proceedings of the Interspeech 2022, 2022
Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation.
Proceedings of the Interspeech 2022, 2022
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity.
Biomed. Signal Process. Control., 2021
Predicting Levels of Depression and Anxiety in People with Neurodegenerative Memory Complaints Presenting with Confounding Symptoms.
Proceedings of the Intelligent Computing, 2021
Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer's Dementia Detection Through Spontaneous Speech.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021
2020
Imaging of Nonlinear and Dynamic Functional Brain Connectivity Based on EEG Recordings With the Application on the Diagnosis of Alzheimer's Disease.
IEEE Trans. Medical Imaging, 2020
Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification.
Proceedings of the Interspeech 2020, 2020
Improving Detection of Alzheimer's Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction.
Proceedings of the Interspeech 2020, 2020
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation.
Proceedings of the Interspeech 2020, 2020
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition.
Proceedings of the Interspeech 2020, 2020
2019
Comput. Speech Lang., 2019
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt.
CoRR, 2019
Proceedings of the Interspeech 2019, 2019
Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Proceedings of the Interspeech 2018, 2018
2017
Proceedings of the Interspeech 2017, 2017
2016
Proceedings of the Interspeech 2016, 2016