Foka, A. (2026). Experiments in the relationship between art history and text-to-image models. In K. Brown (Ed.), Artificial intelligence and art history: Looking at pictures in an algorithmic culture (Proceedings of the British Academy). The British Academy.

Foka, A. (2025). She Works, He Works: Critical explorations of gender in AI-generated representations. In Proceedings of the 30th International Symposium on Electronic Art (ISEA 2025), Seoul, Republic of Korea (May 23–29, 2025).

Foka, A. (2025). Interwoven ecosystems: Generative AI landscapes for ecological advocacy. In Proceedings of the 30th International Symposium on Electronic Art (ISEA 2025), Seoul, Republic of Korea (May 23–29, 2025).

Foka, A. (2025). Generating Virtual Landscapes and Environmental Narratives with StyleGAN2. In: Machado, P., Johnson, C., Santos, I. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2025. Lecture Notes in Computer Science, vol 15611. Springer, Cham. https://doi.org/10.1007/978-3-031-90167-6_22 

Foka, A. (2024). A Framework for Critical Evaluation of Text-to-Image Models: Integrating Art Historical Analysis, Artistic Exploration, and Critical Prompt Engineering. In Computer Vision – ECCV 2024 Workshops: Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXII. Springer-Verlag, Berlin, Heidelberg, 128–143. https://doi.org/10.1007/978-3-031-92089-9_9 

Foka, A. (2023). Forging emotions: A deep learning experiment on emotions and art. Artnodes, (31), 1–10. https://doi.org/10.7238/artnodes.v0i31.402397

Foka, A. (2022). Constructing an artworld influencers network by mining social media. Leonardo, 55(1), 24–29. https://doi.org/10.1162/leon_a_02094

Foka, A. (2022). Forging emotions: A deep learning experiment on emotions and art. In Proceedings of the 27th International Symposium on Electronic Art (ISEA 2022), Barcelona, Spain (June 10–16, 2022).

Foka, A. (2021). Computer vision applications for art history: Reflections and paradigms for future research. In Proceedings of the International Electronic Visualisation & the Arts (EVA London) Conference (pp. 73–80). https://dx.doi.org/10.14236/ewic/EVA2021.12

Tsekoura, K., & Foka, A. (2020). Classification of EEG signals produced by musical notes as stimuli. Expert Systems with Applications, 159, Article 113507. https://doi.org/10.1016/j.eswa.2020.113507

Foka, A. (2018). An artist ranking system based on social media mining. Information Retrieval Journal, 21(5), 410–448. https://doi.org/10.1007/s10791-018-9328-z