Publications

Journals:

• • Jacucci, G., Daee, P., Vuong, T., Andolina, S., Klouche, K., Sjöberg, M., Ruotsalo, T. and Kaski, S., 2021. Entity Recommendation for Everyday Digital Tasks. ACM Transactions on Computer-Human Interaction (TOCHI), 28(5), pp.1-41.  [link].

  • Jacucci, G., Barral, O., Daee, P., Wenzel, M., Serim, B., Ruotsalo, T., Pluchino, P., Freeman, J., Gamberini, L., Kaski, S. and Blankertz, B., 2019. Integrating neurophysiological relevance feedback in intent modeling for information retrieval. Journal of the Association for Information Science and Technology (JASIST), 70(9), pp.917-930. [link].

  • Sundin, I., Peltola, T., Micallef, L., Afrabandpey, H., Soare, M., Mamun Majumder, M., Daee, P., He, C., Serim, B., Havulinna, A. and Heckman, C., 2018. Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinformatics, 34(13), pp.i395-i403. [link] [code].

  • Daee, P., Peltola, T., Soare, M. and Kaski, S., 2017. Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. Machine Learning, 106(9-10), pp.1599-1620. [link] [code].

  • Daee, P., Mirian, M.S. and Ahmadabadi, M.N., 2014. Reward maximization justifies the transition from sensory selection at childhood to sensory integration at adulthood. PLOS ONE, 9(7), p.e103143. [link].

 Refereed Conference and Workshop Papers:

• • Colella, F., Daee, P., Jokinen, J., Oulasvirta, A., and Kaski, S. 2020. Human Strategic Steering Improves Performance of Interactive Optimization. In 28th International Conference on User Modeling, Adaptation and Personalization. [preprint][Demo][code]. (24% Acceptance Rate)

  • Peltola, T., Celikok, M., Daee, P., and Kaski, S., 2019. Machine Teaching of Active Sequential Learners. In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). [blog][paper][code]. (21% Acceptance Rate)

  • Celikok, M., Peltola, T., Daee, P., and Kaski, S., 2019. Interactive AI with a Theory of Mind. In ACM CHI 2019 Workshop on Computational Modeling in Human-Computer Interaction. [link].

  • Daee, P., Peltola, T., Vehtari, A. and Kaski, S., 2018, March. User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. In 23rd International Conference on Intelligent User Interfaces (pp. 305-310). ACM. [link] [preprint] [code]. (23% Acceptance Rate)

  • Daee, P., Peltola, T., Soare, M. and Kaski, S., 2016. Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression. In FILM 2016, NIPS Workshop on Future of Interactive Learning Machines.

  • Daee, P., Pyykkö, J., Glowacka, D. and Kaski, S., 2016, March. Interactive intent modeling from multiple feedback domains. In Proceedings of the 21st International Conference on Intelligent User Interfaces (pp. 71-75). ACM.  [link] [poster] [slides][preprint]. (25% Acceptance Rate)

  • Daee, P., Taheri, K. and Moradi, H., 2014, May. A sampling algorithm for reducing the number of collision checking in probabilistic roadmaps. In 22nd Iranian Conference on Electrical Engineering (pp. 1313-1316). IEEE. [link] (Best paper award in the control field).

Book chapters:

• • Two book chapters in: Y. Neuvo. (ed.), E. Ormala (ed.), and M. Kuikka (ed.), "Bit Bang 8: Digitalization,". ISBN 978-952-60-1100-4 (printed), ISBN 978-952-60-1101-1 (pdf). Aalto University; Aalto-yliopisto 2016. [link] 

    •  "Subjective Context Awareness: Machines That Understand Personal Accounts, Feelings, and Emotions", pp. 81-110.

    •  "The Digital Health Society: Perspectives on Real, Predictive, and Preventive Care", pp. 131-158.

Preprints and submitted:

• • Peltola, T., Celikok, M., Daee, P., and Kaski, S., 2019. Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. [arXiv preprint].

 Thesis:

• • "Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction", D.Sc. Thesis, Aalto University, 2021 [link] [slides].

  • "A Developmental Method for Multimodal Sensory Integration", M.Sc. Thesis, University of Tehran, 2014 (in Persian) [link]. (Advisors: Majid Nili Ahmadabadi, Maryam S. Mirian) (Examining Committee: Saeed Bagheri Shouraki, Reshad Hosseini)