Km Poonam

Orcid: 0000-0002-7130-4103

According to our database1, Km Poonam authored at least 9 papers between 2021 and 2024.

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

Timeline

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Links

On csauthors.net:

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


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