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Kott, A., Weisman, M. J., & Vandekerckhove, J. (2022). Mathematical modeling of cyber resilience. IEEE Military Communications Conference Proceedings.
Ellis, J. E., Parker, T. W., Vandekerckhove, J., Murphy, B. J., & Smith, S. (2022). An experimentation infrastructure for quantitative measurements of cyber resilience. IEEE Military Communications Conference Proceedings.
Sun, Q., Vo, K., Lui, K. K., Nunez, M., Vandekerckhove, J., & Srinivasan, R. (2022). Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. Proceedings of the International Joint Conference on Neural Networks.
Wiech, K., Eippert, F., Vandekerckhove, J., Zaman, J., Placek, K., Tuerlinckx, F., Vlaeyen, J., & Tracey, I. (2022). Cortico-brainstem mechanisms of biased perceptual decision-making in the context of pain. Journal of Pain, 23, 1372.
Morey, R., Kaschak, M. P., Diez-Álamo, A. M., Glenberg, A. M., Zwaan, R., Lakens, D., Ibáñez, A., Garcia, A., Gianelli, C., Jones, J. L., Madden, J., Alifano, F., Bergen, B., Bloxsom, N. G., Bub, D. N., Cai, Z. G., Chartier, C. R., Chatterjee, A., Conwell, E., Cook, S. W., Davis, J. D., Evers, E., Girard, S., Harter, D., Hartung, F., Herrera, E., Huettig, F., Humphries, S., Juanchich, M., Kühne, K., Lu, S., Lynes, T., Masson, M. E., Ostarek, M., Pessers, S., Reglin, R., Steegen, S., Thiessen, E. D., Thomas, L. E., Trott, S., Vandekerckhove, J., Vanpaemel, W., Vlachou, M., Williams, K., & Ziv-Crispel, N. (2022). A pre-registered, multi-lab non-replication of the Action-sentence Compatibility Effect (ACE). Psychonomic Bulletin & Review, 29, 1239.
Etz, A., Goodman, S. N., & Vandekerckhove, J. (2022). Statistical inference in behavioral research: traditional and Bayesian approaches. Research Integrity: Best Practices for the Social and Behavioral Sciences.
Vo, K., Vishwanath, M., Srinivasan, R., Dutt, N., & Cao, H. (2022). Composing graphical models with generative adversarial networks for EEG signal modeling. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1231-1235.
all ip pp '23 '22 '21 '20 '19 '18 '17 '16 '15 '14 '13 '12 '11 '10 '09 '08 '07
Kott, A., Weisman, M. J., & Vandekerckhove, J. (2022). Mathematical modeling of cyber resilience. IEEE Military Communications Conference Proceedings.
Ellis, J. E., Parker, T. W., Vandekerckhove, J., Murphy, B. J., & Smith, S. (2022). An experimentation infrastructure for quantitative measurements of cyber resilience. IEEE Military Communications Conference Proceedings.
Sun, Q., Vo, K., Lui, K. K., Nunez, M., Vandekerckhove, J., & Srinivasan, R. (2022). Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. Proceedings of the International Joint Conference on Neural Networks.
Wiech, K., Eippert, F., Vandekerckhove, J., Zaman, J., Placek, K., Tuerlinckx, F., Vlaeyen, J., & Tracey, I. (2022). Cortico-brainstem mechanisms of biased perceptual decision-making in the context of pain. Journal of Pain, 23, 1372.
Morey, R., Kaschak, M. P., Diez-Álamo, A. M., Glenberg, A. M., Zwaan, R., Lakens, D., Ibáñez, A., Garcia, A., Gianelli, C., Jones, J. L., Madden, J., Alifano, F., Bergen, B., Bloxsom, N. G., Bub, D. N., Cai, Z. G., Chartier, C. R., Chatterjee, A., Conwell, E., Cook, S. W., Davis, J. D., Evers, E., Girard, S., Harter, D., Hartung, F., Herrera, E., Huettig, F., Humphries, S., Juanchich, M., Kühne, K., Lu, S., Lynes, T., Masson, M. E., Ostarek, M., Pessers, S., Reglin, R., Steegen, S., Thiessen, E. D., Thomas, L. E., Trott, S., Vandekerckhove, J., Vanpaemel, W., Vlachou, M., Williams, K., & Ziv-Crispel, N. (2022). A pre-registered, multi-lab non-replication of the Action-sentence Compatibility Effect (ACE). Psychonomic Bulletin & Review, 29, 1239.
Etz, A., Goodman, S. N., & Vandekerckhove, J. (2022). Statistical inference in behavioral research: traditional and Bayesian approaches. Research Integrity: Best Practices for the Social and Behavioral Sciences.
Vo, K., Vishwanath, M., Srinivasan, R., Dutt, N., & Cao, H. (2022). Composing graphical models with generative adversarial networks for EEG signal modeling. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1231-1235.