- Sotirios D. Kotsopoulos. Design without representation. AI EDAM, 36, 2022.
- Yuval Kahlon, Haruyuki Fujii. Visualization and inquiry into mental content in design activity: a case study of design interpretation. AI EDAM, 36, 2022.
- Georgios Koronis, Arlindo Silva, Jacob Kang Kai Siang, Christine Yogiaman. A study on the link between design brief structure and stimulus fidelity to optimize novelty and usefulness. AI EDAM, 36, 2022.
- Djordje Kristic. Diagonal decompositions of shapes and their algebras. AI EDAM, 36, 2022.
- Jayaram Sivaramakrishnan, Gareth Lee, David Parlevliet, Kok Wai Wong. Margin-based approach for outlier detection of industrial design data using a modified general regression neural network. AI EDAM, 36, 2022.
- Sonia Vieira, Mathias Benedek, John S. Gero, S. Li, Gaetano Cascini. Brain activity in constrained and open design: the effect of gender on frequency bands. AI EDAM, 36, 2022.
- Yuliang Li, Wei Zhao, Wenqi Zhang, Meng Chen 0004. A dynamic model for engineering change propagations in multiple product development stages. AI EDAM, 36, 2022.
- Jelena Pejic, Petar Pejic. Linear kitchen layout design via machine learning. AI EDAM, 36, 2022.
- Dimitrios Paris Darzentas, Harriet R. Cameron, Hanne Gesine Wagner, Peter J. Craigon, Edgar Bodiaj, Jocelyn Spence, Paul Tennent, Steve Benford. Data-inspired co-design for museum and gallery visitor experiences. AI EDAM, 36, 2022.
- Lingyun Sun, Yuyang Zhang, Zhuoshu Li, Zihong Zhou, Zhibin Zhou. inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle. AI EDAM, 36, 2022.