Searchable List of Research Output

Filter Publications
  • Wunsch, G., Mouchart, M., & Russo, F. (2018). Causal attribution in block-recursive social systems: a structural modeling perspective. Methodological Innovations, 11(1), 1-11. https://doi.org/10.1177/2059799118768415 >>>
  • Xiang, Y., & Cremers, A. M. E. (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. https://scholar.harvard.edu/files/yxiang/files/nels47-xiang-cremers.pdf >>>
  • Xie, K., & Yan, J. (2021). A Logic for Desire Based on Causal Inference. In S. Ghosh, & T. Icard (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; Vol. 13039), (FoLLI Publications on Logic, Language and Information). Springer. https://doi.org/10.1007/978-3-030-88708-7_22 >>>
  • Xie, K. (2020). Where causality, conditionals and epistemology meet: A logical inquiry. Institute for Logic, Language and Computation. >>>
  • Xing, Y., & Fernández, R. (2018). Automatic Evaluation of Neural Personality-based Chatbots. In E. Krahmer, A. Gatt, & M. Goudbeek (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. https://doi.org/10.18653/v1/W18-6524 >>>
  • 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, 15, [784026]. https://doi.org/10.3389/fnhum.2021.784026 >>>
  • Yang, F., & Väänänen, J. (2016). Propositional Logics of Dependence. Annals of Pure and Applied Logic, 167(7), 557–589. https://doi.org/10.1016/j.apal.2016.03.003 >>>
  • Yang, F., & Väänänen, J. (2017). Propositional team logics. Annals of Pure and Applied Logic, 168(7), 1406-1441. https://doi.org/10.1016/j.apal.2017.01.007 >>>
  • 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) >>>
  • Yu, J., Amores, J., Sebe, N., & Tian, Q. (2006). Toward Robust Distance Metric Analysis for Similarity Estimation. In C. Schmid, S. Soatto, & C. Tomasi (Eds.), IEEE Computer Vision and Pattern Recognition (CVPR) >>>
  • 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. >>>
  • 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, 44(6), 595-600. https://doi.org/10.1016/j.jcomdis.2011.07.005 >>>
  • Zajenkowski, M., Szymanik, J., & Garraffa, M. (2014). Working Memory Mechanism in Proportional Quantifier Verification. Journal of Psycholinguistic Research, 43(6), 839-853. https://doi.org/10.1007/s10936-013-9281-3 >>>
  • Zajenkowski, M., & Szymanik, J. (2013). MOST intelligent people are accurate and SOME fast people are intelligent: Intelligence, working memory, and semantic processing of quantifiers from a computational perspective. Intelligence, 41(5), 456-466. https://doi.org/10.1016/j.intell.2013.06.020 >>>
  • Zakharyaschev, M., Segerberg, K., de Rijke, M., & Wansing, H. (2001). The Roots of Modality. In M. Rijke, de Zakharyaschev, & K. Wansing Segerberg (Eds.), Advances in Modal Logic, Vol. 2 CSLI Publications. >>>
  • Zakharyaschev, M., Segerberg, K., de Rijke, M., & Wansing, H. (2001). Advances in Modal Logic, Vol. 2. (CSLI lecture notes; No. 119). CSLI Publications. http://www.aiml.net/volumes/volume2/ >>>
  • Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 497-506). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3271800 >>>
  • Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. In M. Atzmueller, & W. Duivesteijn (Eds.), 30th Benelux Conference on Artificial Intelligence: BNAIC 2018 Preproceedings : November 8-9, 2018, Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch, The Netherlands (pp. 43-44). (BNAIC; Vol. 30). Jheronimus Academy of Data Science. >>>
  • Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. 17. Abstract from 17th Dutch-Belgian Information Retrieval Workshop, Leiden, Netherlands. https://arxiv.org/abs/1812.04265 >>>
  • Zambella, D. (1994). Shavrukov's theorem on the subalgebras of diagonalizable algebras for theories containing I\Delta_0+ exp. Notre Dame Journal of Formal Logic, 35, 147-157. >>>

The data of this list is taken from the Pure database. If you find output is missing from the list, please follow the previous link to find out how to submit to Pure. In case there are mistakes in PURE, please contact