2026

Canavese, D., Ferreira, A., Kamm, L., & Quesada Rodriguez, A. (2026). Uncovering challenges of cybersecurity cross-regulation in EU legislation. Information and Software Technology, 193, 108033. https://doi.org/10.1016/j.infsof.2026.108033

Di Giorgio, Alessandro; Sobocinski, Pawel; Voorneveld, Niels (2026). Parametric iteration in resource theories. 34th EACSL Annual Conference on Computer Science Logic, CSL 2026, February 23–28, 2026, Paris, France. Ed. Guerrini, S.; König, B. Saarbrücken/Wadern: Schloss Dagstuhl , 29:1−29:23. (Leibniz International Proceedings in Informatics (LIPIcs); 363). DOI: 10.4230/LIPIcs.CSL.2026.29.

Dowerah, Sandipana; Kulkarni, Atharva; Kulkarni, Ajinkya; Tran, Hoan My; Kalda, Joonas; Fedorchenko, Artem; Fauve, Benoit; Lolive, Damien; Alumäe, Tanel; Magimai-Doss, Mathew (2026). Speech DF Arena: a leaderboard for speech deepfake detection models. IEEE Open Journal of Signal Processing, 7, 73−81. DOI: 10.1109/OJSP.2026.36524

Kalda, J., Baroudi, S., Lebourdais, M., Pagés, C., Marxer, R., Alumäe, T., & Bredin, H. (2026). Design choices for PixIT-based speaker-attributed ASR: Team ToTaTo at the NOTSOFAR-1 challenge. Computer Speech & Language, 95, 101824. https://doi.org/10.1016/j.csl.2025.101824

López-Pintado, Orlenys; Rosenbaum, Jannis; Dumas, Marlon (2025). Optimization of Activity Batching Policies in Business Processes. In: Lecture Notes in Computer Science. (397−414). Springer Science and Business Media Deutschland GmbH. (Lecture Notes in Computer Science; 16044). DOI: 10.1007/978-3-032-02867-9_24.

Podziubanchuk, Bohdan; Olev, Aivo; Kong, Jiaming; Alumäe, Tanel (2026). Simultaneous speech-to-text translation web application for Estonian. The 19th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2026, Proceedings of System Demonstrations, March 24-29, 2026, 3: Rabat, Morocco. Association for Computational Linguistics, 575−582. (ACL Anthology). DOI: 10.18653/v1/2026.eacl-demo.40.

2025

Agarwal, Navneet; Sirts, Kairit (2025). Exploratory Study into Relations between Cognitive Distortions and Emotional Appraisals. Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology: CLPsych 2025, NAACL, Albuquerque, New Mexico. Association for Computational Linguistics (ACL), 127−139. DOI: 10.18653/v1/2025.clpsych-1.11.

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

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.

Di Lavore, E., Román, M., & Sobociński, P. (2025). Partial Markov categories. arXiv. https://doi.org/10.48550/arXiv.2502.03477

Di Giorgio, A., Sobociński, P., & Voorneveld, N. F. W. (2025). Parametric iteration in resource theories. arXiv. https://doi.org/10.48550/arXiv.2510.23413

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

Di Lavore, E., Román, M., Sobociński, P., & Széles, M. (2025). Order in partial Markov categories. Electronic Notes in Theoretical Informatics and Computer Science (ENTICS). https://doi.org/10.46298/entics.16686

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.

Juul, Johan Mattias; Roberts, Andrew James; Hamad, Mohammad; Venables, Adrian; Ottis, Rain (2025). Applying machine learning for electronic warfare activity detection at a national scale. MILCOM 2025 – 2025 IEEE Military Communications Conference (MILCOM), October 6-10, 2025, Los Angeles, CA , USA. IEEE, 1−6. DOI: 10.1109/MILCOM64451.2025.11309949.

Román, M., & Sobociński, P. (2025). String diagrams for premonoidal categories. Logical Methods in Computer Science, 21(2), 9:1–9:20. https://lmcs.episciences.org/15593

Ruder, Deniss; Uusberg, Andero; Sirts, Kairit (2025). Assessing the Reliability and Validity of GPT-4 in Annotating Emotion Appraisal Ratings. Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology: CLPsych 2025, Albuquerque, New Mexico, 3rd May 2025. Association for Computational Linguistics, 1−11. DOI: 10.18653/v1/2025.clpsych-1.1.

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.

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

2024

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.

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.

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.

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

Gogioso, S., & Sobociński, P. (2024). A graphical calculus for conditional independence. Polymath Journal, 2(6). https://polyjmath.org/volumes/polyjmath-2-6.pdf

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.

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

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.

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.

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.