| Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction P Daee, T Peltola, M Soare, S Kaski Machine Learning 106 (9-10), 1599-1620, 2017 | 41 | 2017 |
| Machine teaching of active sequential learners T Peltola, MM Çelikok, P Daee, S Kaski 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 36* | 2019 |
| Integrating neurophysiological relevance feedback in intent modeling for information retrieval G Jacucci, O Barral, P Daee, M Wenzel, B Serim, T Ruotsalo, P Pluchino, ... Journal of the Association for Information Science and Technology, 2019 | 27 | 2019 |
| User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction P Daee, T Peltola, A Vehtari, S Kaski Proceedings of the 23rd International Conference on Intelligent User …, 2018 | 24 | 2018 |
| Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge I Sundin, T Peltola, L Micallef, H Afrabandpey, M Soare, ... Bioinformatics 34 (13), i395-i403, 2018 | 21* | 2018 |
| Interactive intent modeling from multiple feedback domains P Daee, J Pyykkö, D Glowacka, S Kaski Proceedings of the 21st international conference on intelligent user …, 2016 | 20 | 2016 |
| Interactive AI with a Theory of Mind MM Çelikok, T Peltola, P Daee, S Kaski ACM CHI 2019 Workshop on Computational Modeling in Human-Computer Interaction, 2019 | 16 | 2019 |
| Reward maximization justifies the transition from sensory selection at childhood to sensory integration at adulthood P Daee, MS Mirian, MN Ahmadabadi PLoS One 9 (7), e103143, 2014 | 13* | 2014 |
| Entity recommendation for everyday digital tasks G Jacucci, P Daee, T Vuong, S Andolina, K Klouche, M Sjöberg, ... ACM Transactions on Computer-Human Interaction (TOCHI) 28 (5), 1-41, 2021 | 12 | 2021 |
| Human Strategic Steering Improves Performance of Interactive Optimization F Colella, P Daee, J Jokinen, A Oulasvirta, S Kaski Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 10 | 2020 |
| A sampling algorithm for reducing the number of collision checking in probabilistic roadmaps P Daee, K Taheri, H Moradi 2014 22nd Iranian Conference on Electrical Engineering (ICEE), 1313-1316, 2014 | 10 | 2014 |
| A developmental method for multimodal sensory integration P Daee University of Tehran, 2014 | 3 | 2014 |
| The Digital Health Society: Perspectives on Real, Predictive, and Preventive Care IF Ituarte, A Noorizadeh, P Töyrylä, P Daee, JV Matveinen Digitalization, 131, 2016 | 1 | 2016 |
| EntityBot: Actionable Entity Recommendations for Everyday Digital Task T Vuong, S Andolina, G Jacucci, P Daee, K Klouche, M Sjöberg, ... CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-4, 2022 | | 2022 |
| EntityBot T Vuong, S Andolina, G Jacucci, P Daee, K Klouche, M Sjöberg, ... ACM International Conference on Recommender Systems, 2021 | | 2021 |
| EntityBot: Supporting everyday digital tasks with entity recommendations T Vuong, S Andolina, G Jacucci, P Daee, K Klouche, M Sjöberg, ... Proceedings of the 15th ACM Conference on Recommender Systems, 753-756, 2021 | | 2021 |
| Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction P Daee Aalto University, 2021 | | 2021 |
| Subjective Context Awareness: Machines That Understand Personal Accounts, Feelings, and Emotions E Boz, P Daee, M Nelimarkka, T Rodriguez-Kaarto Digitalization, 81, 2016 | | 2016 |
| Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression. P Daee, T Peltola, M Soare, S Kaski NIPS Workshop on Future of Interactive Learning Machines, 2016 | | 2016 |
| Reward Maximization Justifies the Transition from Sensory Selection at Childhood to Sensory Integration at P Daee, MS Mirian, MN Ahmadabadi | | 2014 |
Giulio JacucciUniversity of HelsinkiVerified email at helsinki.fi
