Publications

2025

Aru, J. (2025). Artificial Intelligence and the Internal Processes of Creativity. Journal of Creative Behavior. DOI: 10.1002/jocb.1530.

Tulver, K.; Kaup, K.K.; Aru, J. (2025). The road to Aha: A recipe for mental breakthroughs. Cognition, 257, 106081. DOI: 10.1016/j.cognition.2025.106081.

Gidon, Albert; Aru, Jaan; Larkum, Matthew E. (2025). Does neural computation feel like something? Frontiers in Neuroscience, 19, ARTN 1511972. DOI: 10.3389/fnins.2025.1511972.

Vaarandi, Risto; Bahsi, Hayretdin (2025). Using large language models for template detection from security event logs. International Journal of Information Security, 24. DOI: 10.1007/s10207-025-01018-y

Dijk, Allard; Meier, Roland; Melella, Cosimo; Pihelgas, Mauno; Vaarandi, Risto; Lenders, Vincent (2025). Next Steps in Cyber Blue Team Automation—Leveraging the Power of LLMs. CyCon 2025. DOI: https://doi.org/10.23919/CyCon65856.2025.11103720

Brito, Eduardo; Shoush, Mahmoud; Tamm, Kristian; Etti, Paula; Kamm, Liina (2025). SynthGuard: Redefining Synthetic Data Generation with a Scalable and Privacy-Preserving Workflow Framework. In: Coppens, B., Volckaert, B., Naessens, V., De Sutter, B. (Ed.). Availability, Reliability and Security. ARES 2025. Lecture Notes in Computer Science Springer, Cham. (15995). DOI: 10.1007/978-3-032-00633-2_12.

2024

Kalda, Joonas; Alumäe, Tanel; Lebourdais, Martin; Bredin, Hervé; Baroudi, Séverin; Marxer, Ricard (2024). TalTech-IRIT-LIS speaker and language diarization systems for DISPLACE 2024. Interspeech 2024, 1-5 September 2024, Kos, Greece. ISCA, 1635−1639. DOI: 10.21437/Interspeech.2024-2462

Gopnarayan, M.N.; Aru, J.; Gluth, S. (2024). From DDMs to DNNs: Using Process Data and Models of Decision Making to Improve Human–AI Interactions. Decision, 11 (4), 468−480. DOI: 10.1037/dec0000239.

Lopez-Pintado, Orlenys; Murashko, Serhii; Dumas, Marlon (2024). Discovery and Simulation of Data-Aware Business Processes. 6th International Conference on Process Mining ICPM: 6th International Conference on Process Mining (ICPM), OCT 14-18, 2024, Lyngby, Denmark. Ed. Lu, X.; Pufahl, L.; Song, M. New York: IEEE, 105−112. DOI: 10.1109/ICPM63005.2024.10680675.

Rätsep, Liisa; Lellep, Rasmus; Fishel, Mark (2024). Enabling Conversational Speech Synthesis using Noisy Spontaneous Data. In: Proc. Interspeech 2024. (4923−4927). ISCA. DOI: 10.21437/Interspeech.2024-2403.

Bogdanov, Dan; Etti, Paula; Kamm, Liina; Stomakhin, Fedor (2024). Artificial Intelligence System Risk Management Methodology Based on Generalized Blueprints. 2024 16th International Conference on Cyber Conflict: Over the Horizon (CyCon): 16th International Conference on Cyber Conflict: Over the Horizon, Tallinn, Estonia, 28-31 May 2024. Ed. C. Kwan, L. Lindström, D. Giovannelli, K. Podiņš, D. Štrucl. IEEE, 123−140. DOI: 10.23919/CyCon62501.2024.10685644.

Ballhausen, Hendrik; Corradini, Stefanie; Belka, Claus; Bogdanov, Dan; Boldrini, Luca; Bono, Francesco; Goelz, Christian; Landry, Guillaume; Panza, Giulia; Parodi, Katia; Talviste, Riivo; Tran, Huong Elena; Gambacorta, Maria Antonietta; Marschner, Sebastian (2024). Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. Npj Digital Medicine, 7 (1), 280. DOI: 10.1038/s41746-024-01293-4.

Allikivi, Mari-Liis; Järve, Joonas; Kull, Meelis (2024). Cautious Calibration in Binary Classification. In: European Conference on Artificial Intelligence (ECAI 2024). (1503−1510). IOS Press. (Frontiers in Artificial Intelligence and Applications). DOI: 10.3233/FAIA240654.

Komisarenko, Viacheslav; Kull, Meelis (2024). Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness. In: European Conference on Artificial Intelligence (ECAI 2024). (1535−1542). IOS Press. (Frontiers in Artificial Intelligence and Applications). DOI: 10.3233/FAIA240658.

Shahroudi, Novin; Lepson, Mihkel; Kull, Meelis (2024). Evaluation of Trajectory Distribution Predictions with Energy Score. In: Proceedings of the 41st International Conference on Machine Learning (ICML 2024). (44322−44341). PMLR.

Shvetsov, Dmytro; Ariva, Joonas; Domnich, Marharyta; Vicente, Raul; Fishman, Dmytro (2024). COIN: Counterfactual Inpainting for Weakly Supervised Semantic Segmentation for Medical Images. Explainable Artificial Intelligence, Pt Iii, Xai 2024: 2nd World Conference on Explainable Artificial Intelligence (xAI), JUL 17-19, 2024, Valletta, MALTA. Ed. Longo, L.; Lapuschkin, S.; Seifert, C. Cham: Springer International Publishing Ag, 39−59. (Communications in Computer and Information Science; 2155). DOI: 10.1007/978-3-031-63800-8_3.

Domnich, M., Vicente, R. (2024). Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence. In: Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2155. Springer, Cham. https://doi.org/10.1007/978-3-031-63800-8_4