Khandaker Asif Ahmed

Orcid: 0000-0003-1271-7781

According to our database1, Khandaker Asif Ahmed authored at least 12 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Machine learning to predict gut microbiomes of agricultural pests.
Neural Comput. Appl., May, 2025

2024
An open set model for pest identification.
Comput. Biol. Chem., February, 2024

A Deep Learning Approach to Diabetes Diagnosis.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2024

2023
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis.
BMC Bioinform., 2023

BeeNet: An End-To-End Deep Network For Bee Surveillance.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

MutFusVAE: Mutational Fusion Variational Autoencoder for Predicting Primary Sites of Cancer.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Expanding and Squeezing Differential Expressed Genes for Insect Fitness Prediction.
Proceedings of the Australasian Conference on Information Systems, 2023

2022
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers.
CoRR, 2022

Machine Learning to Predict Rapeseed Traits from RNA-seq Data.
Proceedings of the Workshops at 18th International Conference on Intelligent Environments (IE2022), 2022

Diagnosing Autism Spectrum Disorder Using Ensemble 3D-CNN: A Preliminary Study.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Machine Learning for Predicting Cancer Severity.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022


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