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Pedram Daee
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2020 – today
- 2022
- [c8]Tung Thanh Vuong
, Salvatore Andolina
EntityBot: Actionable Entity Recommendations for Everyday Digital Task. CHI Extended Abstracts 2022: 208:1-208:4 - 2021
- [b1]Pedram Daee:
Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction. Aalto University, Espoo, Finland, 2021 - [j4]Giulio Jacucci, Pedram Daee, Tung Thanh Vuong
Entity Recommendation for Everyday Digital Tasks. ACM Trans. Comput. Hum. Interact. 28(5): 29:1-29:41 (2021) - [c7]Vuong Thanh Tung
EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations. RecSys 2021: 753-756 - 2020
- [c6]Fabio Colella
Human Strategic Steering Improves Performance of Interactive Optimization. UMAP 2020: 293-297 - [i6]Fabio Colella
Human Strategic Steering Improves Performance of Interactive Optimization. CoRR abs/2005.01291 (2020)
2010 – 2019
- 2019
- [j3]Giulio Jacucci
Integrating neurophysiologic relevance feedback in intent modeling for information retrieval. J. Assoc. Inf. Sci. Technol. 70(9): 917-930 (2019) - [c5]Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski:
Machine Teaching of Active Sequential Learners. NeurIPS 2019: 11202-11213 - [i5]Mustafa Mert Çelikok, Tomi Peltola, Pedram Daee, Samuel Kaski:
Interactive AI with a Theory of Mind. CoRR abs/1912.05284 (2019) - 2018
- [j2]Iiris Sundin
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinform. 34(13): i395-i403 (2018) - [c4]Saeed Mirzaeifar, Pedram Daee, Vishal Singh
A Conceptual Framework for Personalization of Indoor Comfort Parameters Based on Office Workers' Preferences. PLM 2018: 35-45 - [c3]Pedram Daee, Tomi Peltola, Aki Vehtari
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. IUI 2018: 305-310 - [i4]Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski:
Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. CoRR abs/1809.02869 (2018) - 2017
- [j1]Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski:
Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. Mach. Learn. 106(9-10): 1599-1620 (2017) - [c2]Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski:
Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression. IAL@PKDD/ECML 2017: 64-66 - [i3]Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder, Pedram Daee, Marta Soare, Homayun Afrabandpey, Caroline Heckman, Samuel Kaski, Pekka Marttinen:
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation. CoRR abs/1705.03290 (2017) - [i2]Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski:
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. CoRR abs/1710.04881 (2017) - 2016
- [c1]Pedram Daee, Joel Pyykkö, Dorota Glowacka, Samuel Kaski:
Interactive Intent Modeling from Multiple Feedback Domains. IUI 2016: 71-75 - [i1]Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski:
Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction. CoRR abs/1612.03328 (2016)
Coauthor Index
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