Dégremont, C., Löwe, B., Witzel, A. (2011) The synchronicity of dynamic epistemic logic.

In Apt, K.R. (Eds.), TARK XIII: Theoretical Aspects of Rationality and Knowledge : proceedings of the Thirteenth Conference (TARK 2011) (pp 145-152). ACM.

Dégremont, C.M.L. (2010) The temporal mind : observations on the logic of belief change in interactive systems.

ILLC.

Thesis, fully internal | UvA-DARE

Dehghani, M., Abnar, S., Kamps, J. (2016) The Healing Power of Poison: Helpful Non-relevant Documents in Feedback.

In CIKM'16: proceedings of the 2016 ACM Conference on Information and Knowledge Management : October 24-28, 2016, Indianapolis, IN, USA (pp 2065-2068). Association for Computing Machinery.

Dehghani, M., Azarbonyad, H., Kamps, J., de Rijke, M. (2017) Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking.

In Neu-IR: Workshop on Neural Information Retrieval: accepted papers . ArXiv.

Dehghani, M., Azarbonyad, H., Kamps, J., de Rijke, M. (2019) Learning to Transform, Combine, and Reason in Open-domain Question Answering.

In WSDM'19: proceedings of the Twelfth ACM International Conference on Web Search and Data Mining : February 11-15, 2019 : Melbourne, Australia (pp 681–689). Association for Computing Machinery.

Dehghani, M., Azarbonyad, H., Kamps, J., de Rijke, M. (2019) Learning to Transform, Combine, and Reason in Open-Domain Question Answering.

In Beuls, K. Bogaerts, B. Bontempi, G. Geurts, P. Harley, N. Lebichot, B. Lenaerts, T. Louppe, G. Van Eecke, P. (Eds.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019): Brussels, Belgium, November 6-8, 2019 (CEUR Workshop Proceedings, Vol. 2491). CEUR-WS.

Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D., Marx, M. (2016) Inoculating Relevance Feedback Against Poison Pills.

Abstract | UvA-DARE

Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D., Marx, M. (2016) Luhn revisited: Significant Words Language Models.

In CIKM'16: proceedings of the 2016 ACM Conference on Information and Knowledge Management : October 24-28, 2016, Indianapolis, IN, USA (pp 1301-1310). Association for Computing Machinery.

Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) UvA-ExPoSe at TREC 2016: Contextual Suggestion Track.

Paper | https://e.humanities.uva.nl/publications/2016/dehg_expo16.pdf | UvA-DARE

Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) Hierarchical Text Classification Based on Separation in the Data or Feature Space.

Abstract | UvA-DARE

Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) Two-Way Parsimonious Classification Models for Evolving Hierarchies.

In Fuhr, N. Quaresma, P. Gonçalves, T. Larsen, B. Balog, K. Macdonald, C. Cappellato, L. Ferro, N. (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016: proceedings (pp 69-82) (Lecture Notes in Computer Science , Vol. 9822). Springer.

Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) On Horizontal and Vertical Separation in Hierarchical Text Classification.

In ICTIR'16: proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval : September 12-16, 2016, Newark, Delaware, USA (pp 185-194). Association for Computing Machinery.

Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2017) Significant Words Language Models for Contextual Suggestion.

In Voorhees, E.M. Ellis, A. (Eds.), The Twenty-Fifth Text REtrieval Conference (TREC 2016) Proceedings (NIST Special Publication). National Institute of Standards and Technology.

Dehghani, M., Azarbonyad, H., Marx, M., Kamps, J. (2015) Learning to Combine Sources of Evidence for Indexing Political Texts: extended abstract.

Abstract | https://ilps.science.uva.nl/wp-content/uploads/sites/8/2015/11/DIR2015-proceedings.pdf | UvA-DARE

Dehghani, M., Azarbonyad, H., Marx, M., Kamps, J. (2015) Sources of evidence for automatic indexing of political texts.

In Hanbury, A. Kazai, G. Rauber, A. Fuhr, N. (Eds.), Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29-April 2, 2015 : proceedings (pp 568-573) (Lecture Notes in Computer Science, Vol. 9022). Springer.

Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., Marx, M. (2017) On Search Powered Navigation.

In ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands (pp 317-320). Association for Computing Machinery.

Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., Marx, M. (2017) Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search.

In CHIIR'17 : proceedings of the 2017 Conference Human Information Interaction and Retrieval : March 7-11, 2017, Oslo, Norway (pp 369-372). The Association for Computing Machinery.

Dehghani, M., Kamps, J. (2018) Learning to Rank from Samples of Variable Quality.

In The First International Workshop on Learning from Limited or Noisy Data for Information Retrieval: July 12th, 2018, Ann Arbor, Michigan, USA, co-located with SIGIR 2018. Accepted papers . ArXiv.

Dehghani, M., Mehrjou, Arash, Gouws, Stephan, Kamps, J., Schölkopf, Bernhard (2019) Learning from Samples of Variable Quality.

In Learning from Limited Labeled Data: ICLR 2019 Workshop . OpenReview.

Dehghani, M., Rothe, S., Alfonseca , E., Fleury, P. (2017) Learning to Attend, Copy, and Generate for Session-Based Query Suggestion.

In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp 1747-1756). Association for Computing Machinery.