Reza Serajeh, Seyran Khademi, Amir Mousavinia, Jan C. van Gemert (2020), On Sensitive Minima in Margin-Based Deep Distance Learning, In IEEE Access Volume 8 p.145067-145076.

Ronald Siebes, Seyran Khademi, Tino Mager, Carola Hein, Victor de Boer, Jan van Gemert (2019), Creating a 4D Street View of Amsterdam from Historical Images, Time Machine Conference 2019.

Xin Liu, Seyran Khademi, Jan C. van Gemert (2019), Cross Domain Image Matching in Presence of Outliers, In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 p.3250-3256.

Xiangwei Shi, Seyran Khademi, Jan van Gemert (2019), Deep Visual City Recognition Visualization, In NCCV 2019 – The Netherlands Conference on Computer Vision p.1-6.

Tino Mager, Seyran Khademi, Ronald Siebes, Carola Hein, Victor de Boer, Jan van Gemert (2019), Visual Content Analysis and Linked Data for Automatic Enrichment of Architecture-Related Images, Horst Kremers (Eds.), In Digital Cultural Heritage p.279-293, Springer.

Seyran Khademi, Xiangwei Shi, Tino Mager, Ronald Siebes, Carola Hein, Victor De Boer, Jan Van Gemert (2018), Sight-seeing in the eyes of deep neural networks, W. Hazeleger (Eds.), In Proceedings - IEEE 14th International Conference on eScience, e-Science 2018 p.407-408, IEEE .

Negin Bakhshi Zanjani, Seyran Khademi, Geert Leus (2017), Gradient-Based Solution for Hybrid Precoding in MIMO Systems, In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings p.3489-3493, IEEE .

Seyran Khademi, Richard C. Hendriks, W. Bastiaan Kleijn (2017), Intelligibility Enhancement Based on Mutual Information, In IEEE - ACM Transactions on Audio, Speech, and Language Processing Volume 25 p.1694-1708.

Yongchang Hu (2017), Signal strength based localization and path-loss exponent self-estimation in wireless networks, PhD Thesis Delft University of Technology.

S. Khademi (2016), Gigabit wireless transmission in dispersive environments: Channel characterization and signal processing algorithms, PhD Thesis Delft University of Technology.