Km Poonam
Orcid: 0000-0002-7130-4103
According to our database1,
Km Poonam
authored at least 9 papers
between 2021 and 2024.
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Bibliography
2024
Predicting Alzheimer's Disease Progression Using a Versatile Sequence-Length-Adaptive Encoder-Decoder LSTM Architecture.
IEEE J. Biomed. Health Informatics, July, 2024
Hierarchical Classification of Frontotemporal Dementia Subtypes Utilizing Tabular-to-Image Data Conversion with Deep Learning Methods.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Artificial Intelligence Based Hierarchical Classification of Frontotemporal Dementia.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
A Regression Framework for Predicting Cognitive Decline in Frontotemporal Dementia using Recurrent Neural Networks.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Exploring Self-Supervised Models for Depressive Disorder Detection: A Study on Speech Corpora.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Explainable Decision Tree-Based Screening of Cognitive Impairment Leveraging Minimal Neuropsychological Tests.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
Frontotemporal Dementia Detection Model Based on Explainable Machine Learning Approach.
Proceedings of the Computational Intelligence in Data Science, 2023
Accurate Prediction of Alzheimer's Disease Progression Trajectory via a Novel Encoder-Decoder LSTM Architecture.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2021
Artificial Intelligence Methods Based Hierarchical Classification of Frontotemporal Dementia to Improve Diagnostic Predictability.
CoRR, 2021