Syed Ihtesham Shah

Syed Ihtesham Shah

Postdoc at Vrije Universiteit Amsterdam

Publications

See also: Google Scholar

  • Lisowska, A., den Hengst, F., Shah, S.I.H., ten Teije, A., Bohoudi, O., Vissers, P., Ali, M., Leeuwenburgh, L., Stommel, M., Lamoré, A. and Verpalen, I., 2027. Addressing Incomplete Data in Survival and Quality of Life Prediction: A Pancreatic Cancer Case Study. In Lecture Notes in Computer Science. Best Paper Award

  • S. I. H. Shah, ten Teije, A., & Volders, J. (2025). Can We Trust Explanation? Evaluation of Model-Agnostic Explanation Techniques on Highly Imbalanced, Multiclass–Multioutput Classification Problems. BIOSTEC 2025 (Vol. 2, pp. 530–539).

  • den Hengst, F., Blin, I., Mohammadi, M., S. I. H. Shah, & Younesian, T. (2025). Hierarchical Conformal Classification. arXiv preprint (arXiv:2508.13288).

  • S. I. H. Shah, ten Teije, A., et al. Can We Trust Explanation? Evaluation of Model-Agnostic Explanation Techniques. BNAIC (Benelux Conference on Artificial Intelligence).

  • S. I. H. Shah, De Pietro, G., Paragliola, G., & Coronato, A. (2023). Projection-Based Inverse Reinforcement Learning for the Analysis of Dynamic Treatment Regimes. Applied Intelligence, 53(11), 14072–14084.

  • S. I. H. Shah, Naeem, M., Paragliola, G., Coronato, A., & Pechenizkiy, M. (2023). An AI-Empowered Infrastructure for Risk Prevention During Medical Examination. Expert Systems with Applications, 225, 120048.

  • S. I. H. Shah, Coronato, A., Naeem, M., & De Pietro, G. (2022). Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning. IEEE Access, 10, 78148–78158.

  • S. I. H. Shah, Coronato, A., Ghauri, S. A., Alam, S., & Sarfraz, M. (2022). CSA-Assisted Gabor Features for Automatic Modulation Classification. Circuits, Systems, and Signal Processing, 41(3), 1660–1682.

  • S. I. H. Shah, Coronato, A., & Naeem, M. (2022). Inverse Reinforcement Learning-Based Approach for Investigating Optimal Dynamic Treatment Regimes. IE 2022 Workshops, pp. 266–276.

  • S. I. H. Shah, & Coronato, A. (2021). Learning Tasks in Intelligent Environments via Inverse Reinforcement Learning. International Conference on Intelligent Environments (IE), pp. 1–4.

  • Khan, A. F., Jalil, A., Haq, I. U., & S. I. H. Shah (2021). Automatic Localization of Macula and Identification of Macular Degeneration in Retinal Fundus Images. ICECCE, pp. 1–6.

  • S. I. H. Shah, & Coronato, A. (2021). Inverse Reinforcement Learning Through Max-Margin Algorithm. IOS Press.

  • S. I. H. Shah, & De Pietro, G. (2021). An Overview of Inverse Reinforcement Learning Techniques. IOS Press.

  • S. I. H. Shah, Alam, S., Ghauri, S. A., Hussain, A., & Ansari, F. A. (2019). A Novel Hybrid Cuckoo Search–Extreme Learning Machine Approach for Modulation Classification. IEEE Access, 7, 90525–90537.

  • Ghauri, S. A., Qureshi, I. M., S. I. H. Shah, & Khan, N. (2014). Modulation Classification Using Cyclostationary Features on Fading Channels. Research Journal of Applied Sciences, Engineering and Technology, 7(24), 5331–5339.