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Jacoby, N., Margulis, E.H., Clayton, M., Hannon, E., Honing, H., Iverson, J., Klein, T.R., Mehr, S.A., Pearson, L., Peretz, I., Perlman, M., Polak, R., Ravignani, A., Savage, P.E., Steingo, G., Stevens, C.J., Trainor, L., Trehub, S., Veal, M., Wald-Fuhrmann, M. (2020) Cross-Cultural Work in Music Cognition: Challenges, Insights and Recommendations.Music Perception, Vol. 37 (pp 185-195)Article | https://doi.org/10.1525/mp.2020.37.3.185 | UvA-DARE
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Jaffe, N.S., Burgoyne, J.A. (2025) Musical Source Separation Bake-Off: Comparing Objective Metrics with Human Perception.In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics: Tahoe City, CA . IEEE.Conference contribution | https://doi.org/10.1109/WASPAA66052.2025.11230942 | UvA-DAREJahnke, F. (2024) Henselian expansions of NIP fields.Journal of Mathematical Logic, Vol. 24Article | https://doi.org/10.1142/S021906132350006X | UvA-DAREJakubauskaitė, Urtė, Alhama, R.G. (2026) Evaluating Large Language Models on Lithuanian Grammatical Cases.In Hettiarachchi, Hansi Ranasinghe, Tharindu Plum, Alistair Rayson, Paul Mitkov, Ruslan Gaber, Mohamed Premasiri, Damith Tan, Fiona Anting Uyangodage, Lasitha (Eds.), The Second Workshop on Language Models for Low-Resource Languages : proceedings of the workshop: LoResLM 2026 : March 29, 2026 (pp 371-377). Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/2026.loreslm-1.32 | UvA-DAREJančiūtė, L., De Haro, S. (2025) Encryption debates, regulation thereof and the implications for the quantum-safe cryptography transition: the case of the EU.Working paper | https://doi.org/10.2139/ssrn.6167790 | UvA-DAREJančiūtė, L. (2025) Cybersecurity in the financial sector and the quantum-safe cryptography transition: in search of a precautionary approach in the EU Digital Operational Resilience Act framework.International Cybersecurity Law Review, Vol. 6 (pp 145–154)Article | https://doi.org/10.1365/s43439-025-00135-7 | UvA-DAREJansen, Lennert, Laichter, Š.L., Sinclair, A., van der Goot, M.J., Fernández, R., Pezzelle, S. (2022) Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue.In Bosselut, A. Chandu, K. Dhole, K. Gangal, V. Gehrmann, S. Jernite, Y. Novikova, J. Perez-Beltrachini, L. (Eds.), 2nd Workshop on Natural Language Generation, Evaluation and Metrics: GEM 2022 : proceedings of the workshop : December 7, 2022 (pp 172-188). Association for Computational Linguistics.Conference contribution | https://doi.org/https://aclanthology.org/2022.gem-1.14 | UvA-DAREJansen, Lennert, Laichter, Š.L., Sinclair, Arabella, van der Goot, M.J., Fernández, R., Pezzelle, S. (2022) Exploring Age Adaptation of Conversational Systems.Web publication or website | https://dmg-illc.github.io/ai-age-adaptation/ | UvA-DAREJansen, Lennert, Sinclair, A., van der Goot, M.J., Fernández, R., Pezzelle, S. (2021) Detecting age-related linguistic patterns in dialogue: Toward adaptive conversational systems.In Fersini, E. Passarotti, M. Patti, V. (Eds.), Proceedings of the Eighth Italian Conference on Computational Linguistics: Milan, Italy, June 29-July 1, 2022 (CEUR Workshop Proceedings, Vol. 3033). CEUR-WS.Conference contribution | https://ceur-ws.org/Vol-3033/paper47.pdf | UvA-DAREJansen, Lennert, Sinclair, A.J., van der Goot, M.J., Fernández, R., Pezzelle, S. (2021) Detecting age-related linguistic patterns in dialogue: Toward adaptive conversa-tional systems.Paper | UvA-DAREJanssen, B., Burgoyne, J.A., Honing, H. (2017) Predicting Variation of Folk Songs: A Corpus Analysis Study on the Memorability of Melodies.Frontiers in Psychology, Vol. 8Article | https://doi.org/10.3389/fpsyg.2017.00621 | UvA-DAREJanssen, B., de Haas, W.B., Volk, A., van Kranenburg, P. (2014) Finding Repeated Patterns in Music: State of Knowledge, Challenges, Perspectives.In Aramaki, M. Derrien, O. Kronland-Martinet, R. Ystad, S. (Eds.), Sound, Music, and Motion: 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013 : revised selected papers (pp 277-297) (Lecture Notes in Computer Science, Vol. 8905). Springer.Conference contribution | https://doi.org/10.1007/978-3-319-12976-1_18 | UvA-DAREJanssen, B., van Kranenburg, P., Volk, A. (2015) A Comparison of Symbolic Similarity Measures for Finding Occurrences of Melodic Segments.In Müller, M. Wiering, F. (Eds.), ISMIR 2015: Proceedings of the 16th International Society for Music Information Retrieval Conference : October 26-30, 2015, Málaga, Spain (pp 659-665). ISMIR.Conference contribution | https://doi.org/10.5281/zenodo.1418357 | UvA-DAREJanssen, B., van Kranenburg, P., Volk, A. (2017) Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures.Journal of New Music Research, Vol. 46 (pp 118-134)Janssen, B.D. (2018) Retained or lost in transmission? Analyzing and predicting stability in Dutch folk songs.Thesis, externally prepared | UvA-DAREJanssen, Berit, Burgoyne, J.A., Janulevicius, Albertas, Rot, Evert, Honing, H. (2023) An infrastructure for reusable online music experiments..Abstract | UvA-DAREJanssen, T.M.V., Dechesne, F. (2005) Signalling in IF games: a tricky business.Technical Reports. Institute for Logic, Language and Computation.Working paper | UvA-DAREJanssen, T.M.V., Dechesne, F. (2006) Signalling in IF games: a tricky business.In van Benthem, J. Heinzmann, G. Rebuschi, M. Visser, H. (Eds.), The Age of Alternative Logics: Assessing Philosophy of Logic and Mathematics Today. (pp 221-241). Springer.Chapter | UvA-DAREJanssen, T.M.V. (1994) The method of Rosetta; natural language translation using algebras.In Scollo, G. Nijholt, A. Steetskamp, R. (Eds.), Algebraic methods in language processing. 1st AMAST workshop on language processing (pp 211-223). Twente University.Chapter | UvA-DAREJanssen, T.M.V. (1994) An algebraic view.In Rosetta, M.T. (Eds.), Compositional Translation (pp 389-416). Kluwer.Chapter | UvA-DARE
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