Khandaker Asif Ahmed

14 papers B 2Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ligand-based prediction of anti-bacterial compounds: Overcoming class imbalance in molecular data.
Comput. Biol. Chem.
Yiheng Du, Khandaker Asif Ahmed, Himadri Shekhar Mondal, Md. Zakir Hossain
2025 J jnl
Machine learning to predict gut microbiomes of agricultural pests.
Neural Comput. Appl.
Md Jobayer, Alexander Taylor, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain
2024 — conf
A Deep Learning Approach to Diabetes Diagnosis.
ACIIDS (Companion 1)
Zeyu Zhang, Khandaker Asif Ahmed, Md. Rakibul Hasan, Tom Gedeon, Md. Zakir Hossain
2024 J jnl
A Deep Learning Approach to Diabetes Diagnosis.
CoRR
Zeyu Zhang, Khandaker Asif Ahmed, Md. Rakibul Hasan, Tom Gedeon, Md. Zakir Hossain
2024 J jnl
An open set model for pest identification.
Comput. Biol. Chem.
Yefeng Shen, Md. Zakir Hossain, Khandaker Asif Ahmed, Shafin Rahman
2023 — conf
BeeNet: An End-To-End Deep Network For Bee Surveillance.
INNS DLIA@IJCNN
John Yoo, Rumali Siddiqua, Xuehan Liu, Khandaker Asif Ahmed, Md. Zakir Hossain
2023 — conf
Expanding and Squeezing Differential Expressed Genes for Insect Fitness Prediction.
ACIS
Zhiyong Sun, Md Ayshik Rahman Khan, Yan Yang, Khandaker Asif Ahmed, Md. Zakir Hossain
2023 J jnl
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis.
BMC Bioinform.
Xuehan Liu, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain
2023 — conf
MutFusVAE: Mutational Fusion Variational Autoencoder for Predicting Primary Sites of Cancer.
INNS DLIA@IJCNN
Zhongrui Chen, Md Jobayer, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain
2022 J jnl
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers.
CoRR
Yan Yang, Md. Zakir Hossain, Khandaker Asif Ahmed, Liyuan Pan, Shafin Rahman, Eric A. Stone
2022 B conf
Diagnosing Autism Spectrum Disorder Using Ensemble 3D-CNN: A Preliminary Study.
ICIP
Jingsheng Deng, Md. Rakibul Hasan, Minhaz Mahmud, Md. Mahbub Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain
2022 — conf
Machine Learning for Predicting Cancer Severity.
ICHI
Alex Qin, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain
2022 — conf
Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease.
ACIIDS (Companion)
Jin Si Lam, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain
2022 B conf
Machine Learning to Predict Rapeseed Traits from RNA-seq Data.
Intelligent Environments (Workshops)
Md Ayshik Rahman Khan, Khandaker Asif Ahmed, Md. Zakir Hossain