| Issue Date | Title | Author(s) |
| 2021 | An Evolutionary Framework for Real-Time Fraudulent Credit Detection | Mohebali, B; Karbaschi, G; Tahmassebi, A; Meyer-Baese, A; Gandomi, AH |
| 2022-01-01 | An explainable prediction framework for engineering problems: case studies in reinforced concrete members modeling | Tahmassebi, A; Motamedi, M; Alavi, AH; Gandomi, AH |
| 2021-01-05 | An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals | Tahmassebi, A; Martin, J; Meyer-Baese, A; Gandomi, AH |
| 2018-03-01 | Building energy consumption forecast using multi-objective genetic programming | Tahmassebi, A; Gandomi, AH |
| 2020-01-01 | Chapter 14 Probabilistic neural networks a brief overview of theory, implementation, and application | Mohebali, B; Tahmassebi, A; Meyer-Baese, A; Gandomi, AH |
| 2020-01-01 | Detection and isolation of black hole attack in mobile ad hoc networks: A review | Nagasubramanian, G; Sakthivel, RK; Patan, R; Ehtemami, A; Meyer-Baese, A; Tahmassebi, A; Gandomi, AH; Blowers, M; Hall, RD; Dasari, VR |
| 2018-07-06 | Genetic Programming Based on Error Decomposition: A Big Data Approach | Tahmassebi, A; Gandomi, AH |
| 2018 | Multi-stage optimization of a deep model: A case study on ground motion modeling. | Tahmassebi, A; Gandomi, AH; Fong, S; Meyer-Baese, A; Foo, SY |
| 2020-10 | Multiobjective
genetic programming for reinforced concrete beam modeling | Tahmassebi, A; Mohebali, B; Meyer‐Baese, A; Gandomi, AH |
| 2018-01-01 | Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification | Tahmassebi, A; Gandomi, AH; Schulte, MHJ; Goudriaan, AE; Foo, SY; Meyer-Baese, A |
| 2020 | Probabilistic neural networks: A brief overview of theory, implementation, and application | Mohebali, B; Tahmassebi, A; Meyer-Baese, A; Gandomi, AH |
| 2018-03-20 | Stock Risk Assessment via Multi-Objective Genetic Programming | Tahmassebi, A; Gandomi, AH; Meyer-Baese, A |
| 2022-12 | XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions. | Karbassiyazdi, E; Fattahi, F; Yousefi, N; Tahmassebi, A; Taromi, AA; Manzari, JZ; Gandomi, AH; Altaee, A; Razmjou, A |
