| 2025 | ICCS | Hybrid Subgradient and Simulated Annealing Method for Hemivariational Inequalities. | Piotr Bartman-Szwarc, Adil M. Bagirov, Anna Ochal |
| 2024 | TrustCom | Discriminating Malware Families using Partitional Clustering. | Pooja Mishra, Paul Black, Adil M. Bagirov, Shaoning Pang |
| 2018 | CICLING | SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections. | Adil M. Bagirov, Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger |
| 2018 | PAKDD | A Server Side Solution for Detecting WebInject: A Machine Learning Approach. | Md. Moniruzzaman, Adil M. Bagirov, Iqbal Gondal, Simon Brown |
| 2014 | SGAI | CR-Modified SOM to the Problem of Handwritten Digits Recognition. | Ehsan Mohebi, Adil M. Bagirov |
| 2011 | AusDM | Feature Selection using Misclassification Counts. | Adil M. Bagirov, Andrew Yatsko, Andrew Stranieri, Herbert F. Jelinek |
| 2011 | AusDM | Improving Naive Bayes Classifier Using Conditional Probabilities. | Sona Taheri, Musa Mammadov, Adil M. Bagirov |
| 2011 | AusDM | A novel hybrid neural learning algorithm using simulated annealing and quasisecant method. | John Yearwood, Adil M. Bagirov, Sattar Seifollahi |
| 2003 | CEC | The discrete gradient evolutionary strategy method for global optimization. | Hussein A. Abbass, Adil M. Bagirov, Jiapu Zhang |
| 2003 | ICCS | An Optimization-Based Approach to Patient Grouping for Acute Healthcare in Australia. | Adil M. Bagirov, Leonid Churilov |
| 2003 | ICCS | Parallelization of the Discrete Gradient Method of Non-smooth Optimization and Its Applications. | Gleb Beliakov, J. E. Monsalve Tobon, Adil M. Bagirov |