H.H. Bier, A.J. Hidding, S. Khademi, C.C.J. van Engelenburg, J.M. Prendergast, L. Peternel (2024), Real-World Applications of Artificial Intelligence in Architecture, Kohei Arai (Eds.), In Intelligent Systems and Applications p.220-227, Springer Nature.

Tino Mager, Seyran Khademi, Ronald Siebes, Jan van Gemert, Victor de Boer, Beate Löffler, Carola Hein (2023), Computer vision and architectural history at eye level: Mixed methods for linking research in the humanities and in information technology (ArchiMediaL), Birgit Schneider, Beate Löffler, Tino Mager, Carola Hein (Eds.), In Mixing Methods p.125-144, Bielefeld University Press.

Fatemeh Mostafavi, Seyran Khademi (2023), Micro-Climate Building Context Visualization: A pipeline for generating buildings’ environmental context maps using numerical simulation data, Wolfgang Dokonal, Urs Hirschberg, Gabriel Wurzer, Gabriel Wurzer (Eds.), In eCAADe 2023 - Digital Design Reconsidered p.9-18, Education and research in Computer Aided Architectural Design in Europe.

Casper van Engelenburg, Seyran Khademi, Jan van Gemert (2023), SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity, In Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 p.1565-1574, IEEE.

Burak Yildiz, Seyran Khademi, Ronald Maria Siebes, Jan Van Gemert (2022), AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift, In 2022 26th International Conference on Pattern Recognition, ICPR 2022 p.2749-2755, Institute of Electrical and Electronics Engineers (IEEE).

Henriette Bier, Seyran Khademi, Casper van Engelenburg, J. Micah Prendergast, Luka Peternel (2022), Computer Vision and Human–Robot Collaboration Supported Design-to-Robotic-Assembly, In Construction Robotics p.1-7.

Zhaiyu Chen, Hugo Ledoux, Seyran Khademi, Liangliang Nan (2022), Reconstructing compact building models from point clouds using deep implicit fields, In ISPRS Journal of Photogrammetry and Remote Sensing Volume 194 p.58-73.

Seyran Khademi, Tino Mager, Ronald Siebes (2021), Deep Learning from History: Unlocking Historical Visual Sources Through Artificial Intelligence, Florian Niebling, Sander Münster, Heike Messemer (Eds.), In Research and Education in Urban History in the Age of Digital Libraries p.213-233, Springer.

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.