Searchable List of Research Output

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  • Wontner, N.J.H. (2023) Views from a peak: Generalisations and descriptive set theory.
    ILLC dissertation series
    Thesis, fully internal | UvA-DARE
  • Wooldridge, M., Endriss, U., Kraus, S., Lang, J. (2013) Incentive Engineering for Boolean Games.
    Artificial Intelligence, Vol. 195 (pp 418-439)
  • Wunsch, G., Mouchart, M., Russo, F. (2015) Les limites de la connaissance en sciences sociales: l'explication mise en cause.
    L'Académie en poche, Vol. 62. Académie royale de Belgique.
    Book | UvA-DARE
  • Wunsch, G., Mouchart, M., Russo, F. (2018) Causal attribution in block-recursive social systems: a structural modeling perspective.
    Methodological Innovations, Vol. 11 (pp 1-11)
  • Wunsch, G., Russo, F., Mouchart, M., Orsi, R. (2022) Time and causality in the social sciences.
    Time & Society, Vol. 31 (pp 177-204)
  • Xiang, Yimei, Cremers, A. (2017) Mention-some readings of plural-marked questions: Experimental evidence.
    In NELS 47 : Proceedings of the Forty-Seventh Annual Meeting of the North East Linguistic Society. Graduate Linguistics Student Association, Department of Linguistics, University of Massachusetts.
  • Xie, K., Yan, J. (2021) A Logic for Desire Based on Causal Inference.
    In Ghosh, S. Icard, T. (Eds.), Logic, Rationality, and Interaction: 8th International Workshop, LORI 2021, Xi'an, China, October 16-18, 2021 : proceedings (pp 273-287) (Lecture Notes in Computer Science
    FoLLI Publications on Logic, Language and Information, Vol. 13039). Springer.
  • Xie, K. (2020) Where causality, conditionals and epistemology meet: A logical inquiry.
    ILLC dissertation series. Institute for Logic, Language and Computation.
    Thesis, fully internal | UvA-DARE
  • Xing, Y., Fernández, R. (2018) Automatic Evaluation of Neural Personality-based Chatbots.
    In Krahmer, E. Gatt, A. Goudbeek, M. (Eds.), INLG 20018 : The 11th International Natural Language Generation Conference: proceedings of the conference : November 5-8, 2018, Tilburg, The Netherlands (pp 189-194). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/W18-6524 | UvA-DARE
  • Xu, X., Titov, I., Lapata, M. (2023) Compositional Generalization for Data-to-Text Generation.
    In Bouamor, H. Pino, J. Bali, K. (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp 9299-9317). Association for Computational Linguistics.
  • Yamashita, M., Osawa, C., Suzuki, M., Guo, X., Sadakata, M., Otsuka, Y., Asano, K., Abe, N., Sekiyama, K. (2022) Neural Advantages of Older Musicians Involve the Cerebellum: Implications for Healthy Aging Through Lifelong Musical Instrument Training.
    Frontiers in Human Neuroscience, Vol. 15
  • Yan, J. (2023) Monotonicity in intensional contexts: Weakening and pragmatic effects under modals and attitudes.
    ILLC Dissertation Series
    Thesis, fully internal | UvA-DARE
  • Yang, F., Väänänen, J.A. (2016) Propositional Logics of Dependence.
    Annals of Pure and Applied Logic, Vol. 167 (pp 557–589)
  • Yang, F., Väänänen, J.A. (2017) Propositional team logics.
    Annals of Pure and Applied Logic, Vol. 168 (pp 1406-1441)
  • Yu, J., Amores, J., Sebe, N., Tian, Q. (2006) Ranking Metrics and Evaluation Measures.
    In Advances in Imaging and Electron Physics (pp 291) (144). Elsevier.
    Chapter | UvA-DARE
  • Yu, J., Amores, J., Sebe, N., Tian, Q. (2006) Toward Robust Distance Metric Analysis for Similarity Estimation.
    In Schmid, C. Soatto, S. Tomasi, C. (Eds.), IEEE Computer Vision and Pattern Recognition (CVPR)
    Conference contribution | UvA-DARE
  • Yu, J., Amores, J., Sebe, N., Tian, Q. (2006) A New Study on Distance Metrics as Similarity Measurement.
    In IEEE International Conference on Multimedia and Expo (ICME)
    Conference contribution | UvA-DARE
  • Zadorozhny, K., Thoral, P.J., Elbers, P.W.G., Cina, G. (2023) Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation.
    In Shaban-Nejad, A. Michalowski, M. Bianco, S. (Eds.), Multimodal AI in Healthcare: A Paradigm Shift in Health Intelligence (pp 137-153) (Studies in Computational Intelligence, Vol. 1060). Springer.
  • Zajenkowski, M., Styla, R., Szymanik, J. (2011) A computational approach to quantifiers as an explanation for some language impairments in schizophrenia.
    Journal of Communication Disorder, Vol. 44 (pp 595-600)
  • Zajenkowski, M., Szymanik, J., Garraffa, M. (2014) Working Memory Mechanism in Proportional Quantifier Verification.
    Journal of Psycholinguistic Research, Vol. 43 (pp 839-853)

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