Amini Valashani, M., & Abukari, A. M. (2020). ERP Systems Architecture for the modern age: A review of the state-of-the-art Technologies. Journal of Applied Intelligent Systems and Information Sciences, 1(2), 70-90.

Hajipour, V., Hekmat, S., & Amini, M. (2023). A value-oriented Artificial Intelligence-as-a-Service business plan using integrated tools and services. Decision Analytics Journal, 100302.

Parcham, E., Ilbeygi, M., & Amini, M. (2021). CBCapsNet: A novel writer-independent offline signature verification model using a CNN-based architecture and Capsule Neural Networks. Expert Systems with Applications, 185, 115649.

Amini, M., & Fathian, M. (2021). Optimizing bid search in large outcome spaces for automated multi-issue negotiations using meta-heuristic methods. Decision Science Letters, 10(1), 1-20.

Amini, M., Fathian, M., & Ghazanfari, M. (2020). A BOA-based adaptive strategy with multi-party perspective for automated multilateral negotiations. Applied Intelligence, 50(9), 2718–2748.

Amini, M., Rezaeenour, J., & Hadavandi, E. (2016). A neural network ensemble classifier for effective intrusion detection using fuzzy clustering and radial basis function networks. International Journal on Artificial Intelligence Tools, 25(02), 1550033.

Amini, M., Rezaeenour, J., & Hadavandi, E. (2015). A cluster-based data balancing ensemble classifier for response modeling in Bank Direct Marketing. International Journal of Computational Intelligence and Applications, 14(04), 1550022.

Amini, M., Rezaeenour, J., & Hadavandi, E. (2014). Effective intrusion detection with a neural network ensemble using fuzzy clustering and stacking combination method. Journal of Computing and Security, 1(4), 293-305.

Amini, M., & Rezaeenour, J. (2014). Early Fraud Detection for Online Auctions Using A Multiple-phased Modeling Method with a Neural Networks Ensemble Classifier. Applied mathematics in Engineering, Management and Technology, 560-567.

مهدوی، هدیه؛ رضائی‌نور، جلال و امینی، محمد (۱۴۰۱). توسعه مدلی برای تخمین و دسته‌بندی عملکرد آموزشی دانشجویان کارشناسی با استفاده از ترکیب شبکه‌های عصبی چندلایه؛ مطالعه موردی دانشگاه قم. پژوهشنامه پردازش و مدیریت اطلاعات، ۳۷(۴)، ۱۳۱۹-۱۳۵۰. DOI: 10.35050/JIPM010.2022.012