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Verhoeven, B., Daelemans W., & De Smedt T. (In Press).  Ensemble Methods for Personality Recognition. Proceedings of the Workshop on Computational Personality Recognition (Shared Task).
De Smedt, T., & Daelemans W. (2012).  “Vreselijk mooi!” (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives.. Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12). 3568-3572.
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De Smedt, T., & Menschaert L. (2012).  VALENCE: Affective visualisation using EEG. Digital Creativity. 23(3-4), 272–277.
De Smedt, T., & Daelemans W. (2012).  Pattern for Python. Journal of Machine Learning Research. 13, 2063-2067.
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Junqué de Fortuny, E., De Smedt T., Martens D., & Daelemans W. (2012).  Media coverage in times of political crisis: a text mining approach. Expert Systems with Applications. 39(14), 11616–11622.
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De Smedt, T., Lechat L., & Daelemans W. (2011).  Generative Art Inspired by Nature, Using NodeBox. Applications of Evolutionary Computation. 6625, 264-272.
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De Smedt, T., Lechat L., & Daelemans W. (2011).  Generative Art Inspired by Nature, Using NodeBox. Presented at 9th European event of Evolutionary Music, Sound an Art (EvoMusArt2011), Torino, Italy.
De Smedt, T., De Bleser F., & Nijs L. (2010).  NodeBox 2. (Judith Funke, Stefan Riekeles, Andreas Broeckmann, Ed.).Proceedings of the 16th International Symposium on Electronic Art (ISEA 2010).