Abm. Adnan Azmee

Orcid: 0009-0003-3722-0517

According to our database1, Abm. Adnan Azmee authored at least 12 papers between 2023 and 2024.

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

Timeline

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Bibliography

2024
CBSA: A Deep Transfer Learning Framework for Assessing Post-Stroke Exercises.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

Poster: Extracting and Annotating Mental Health Forum Corpus: A Comprehensive Validation Pipeline.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

Demo: CaseFinder: Automated Visual and Quantitative Analysis Tool for Police Narrative.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

Combined Correlational Network for Identifying Behavioral Health Cases from First Responder Report.
Proceedings of the IEEE International Conference on Big Data, 2024

Explainable Multi-Label Classification Framework for Behavioral Health Based on Domain Concepts.
Proceedings of the IEEE International Conference on Big Data, 2024

Domain Knowledge-Driven Multi-Label Behavioral Health Identification from Police Report.
Proceedings of the IEEE International Conference on Big Data, 2024

Automated Alphabet Detection from Brain Waves.
Proceedings of the 2024 ACM Southeast Conference, 2024

2023
CMTN: A Convolutional Multi-Level Transformer to Identify Suicidal Behaviors Using Clinical Notes.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Post-stroke Exercise Assessment using Hybrid Quantum Neural Network.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Sentence Level Analysis for Detecting Mental Health Causes Using Social Media Posts.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911 Narratives.
Proceedings of the IEEE International Conference on Big Data, 2023

Detecting Motor Imagery Movement from EEG Signal.
Proceedings of the 2023 ACM Southeast Conference, 2023


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