Pedram Daee

According to our database1, Pedram Daee authored at least 15 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction.
PhD thesis, 2021

Entity Recommendation for Everyday Digital Tasks.
ACM Trans. Comput. Hum. Interact., 2021

EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020
Human Strategic Steering Improves Performance of Interactive Optimization.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

2019
Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.
J. Assoc. Inf. Sci. Technol., 2019

Interactive AI with a Theory of Mind.
CoRR, 2019

Machine Teaching of Active Sequential Learners.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Modelling User's Theory of AI's Mind in Interactive Intelligent Systems.
CoRR, 2018

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.
Bioinform., 2018

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

A Conceptual Framework for Personalization of Indoor Comfort Parameters Based on Office Workers' Preferences.
Proceedings of the Product Lifecycle Management to Support Industry 4.0, 2018

2017
Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.
Mach. Learn., 2017

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.
CoRR, 2017

Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

2016
Interactive Intent Modeling from Multiple Feedback Domains.
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016


  Loading...