Publications
Showing entries 191 - 200 out of 482
Molnar, C., König, G., Herbinger, J., Freiesleben, T., Dandl, S., Scholbeck, C. A., Casalicchio, G., Grosse-Wentrup, M., & Bischl, B. (2022). General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. In A. Holzinger, R. Goebel, R. Fong, T. Moon, K.-R. Müller, & W. Samek (Eds.), xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers (1 ed., pp. 39-68). Springer. https://doi.org/10.1007/978-3-031-04083-2_4
Pelowski, M., Specker, E., Boddy, J., Immelmann, B., Haiduk, F., Spezie, G., Ibanez de Aldecoa de Elera, P., Jean-Joseph, H., Leder, H., & Markey, P. (2022). Together in the Dark?: Investigating the Understanding and Feeling of Intended Emotions Between Viewers and Professional Artists at the Venice Biennale. Psychology of Aesthetics, Creativity, and the Arts, 17(6), 772-792. https://doi.org/10.1037/aca0000436
Hoeschele, M., & Fitch, W. T. (2022). Cultural evolution: Conserved patterns of melodic evolution across musical cultures. Current Biology, 32(6), R265-R267. https://doi.org/10.1016/j.cub.2022.01.080
Browning, M. H. E. M., Li, D., White, M. P., Bratman, G. N., Becker, D., & Benfield, J. A. (2022). Association between residential greenness during childhood and trait emotional intelligence during young adulthood: A retrospective life course analysis in the United States. Health and Place, 74, Article 102755. https://doi.org/10.1016/j.healthplace.2022.102755
Leder, H., Hakala, J., Peltoketo, V.-T., Valuch, C., & Pelowski, M. (2022). Swipes and Saves: A Taxonomy of Factors Influencing Aesthetic Assessments and Perceived Beauty of Mobile Phone Photographs. Frontiers in Psychology, 13, Article 786977. https://doi.org/10.3389/fpsyg.2022.786977
Guran, C.-N. A., Deuker, L., Göttlich, M., Axmacher, N., & Bunzeck, N. (2022). Benefit from retrieval practice is linked to temporal and frontal activity in healthy young and older humans. Cerebral Cortex Communications, 3(1), 1-13. http://10.1093/texcom/tgac009
Huggins, J. E., Krusienski, D., Vansteensel, M. J., Valeriani, D., Thelen, A., Stavisky, S., Norton, J. J. S., Nijholt, A., Müller-Putz, G., Kosmyna, N., Korczowski, L., Kapeller, C., Herff, C., Halder, S., Guger, C., Grosse-Wentrup, M., Gaunt, R., Dusang, A. N., Clisson, P., ... Aarnoutse, E. (2022). Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier. Brain-Computer Interfaces, 9(2), 69-101. https://doi.org/10.1080/2326263X.2021.2009654
Lubczyk, T., Lukács, G., & Ansorge, U. (2022). Speed versus accuracy instructions in the response time concealed information test. Cognitive research: principles and implications, 7(1), Article 3. https://doi.org/10.1186/s41235-021-00352-8
Wei, X., Faisal, A. A., Grosse-Wentrup, M., Gramfort, A., Chevallier, S., Jayaram, V., Jeunet, C., Bakas, S., Ludwig, S., Barmpas, K., Bahri, M., Panagakis, Y., Laskaris, N., Adamos, D. A., Zafeiriou, S., Duong, W. C., Gordon, S. M., Lawhern, V. J., Śliwowski, M., ... Tempczyk, P. (2022). 2021 BEETL competition: Advancing transfer learning for subject independence heterogenous EEG data sets. Proceedings of Machine Learning Research (PMLR), 176, 205-219. https://doi.org/10.48550/arXiv.2202.12950
Markham, A., Das, R., & Grosse-Wentrup, M. (2022). A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. Proceedings of Machine Learning Research (PMLR), 177, 542-558. https://proceedings.mlr.press/v177/markham22a.html
Showing entries 191 - 200 out of 482