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ORCIDJoanna Misztal-Radecka
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2020 – today
- 2023
[j5]Joanna Misztal-Radecka
, Bipin Indurkhya:
A bias detection tree approach for detecting disparities in a recommendation model's errors. User Model. User Adapt. Interact. 33(1): 43-79 (2023)- 2021
- [j4]Joanna Misztal-Radecka, Bipin Indurkhya:
Bias-Aware Hierarchical Clustering for detecting the discriminated groups of users in recommendation systems. Inf. Process. Manag. 58(3): 102519 (2021) - [j3]Joanna Misztal-Radecka, Bipin Indurkhya, Aleksander Smywinski-Pohl:
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems. User Model. User Adapt. Interact. 31(2): 261-286 (2021) - [c10]Joanna Misztal-Radecka, Bipin Indurkhya:
When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations. BIAS 2021: 92-105 - 2020
- [c9]Joanna Misztal-Radecka, Bipin Indurkhya:
Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering Recommendations. UMAP (Adjunct Publication) 2020: 59-64 - [c8]Joanna Misztal-Radecka, Bipin Indurkhya:
Persona Prototypes for Improving the Qualitative Evaluation of Recommendation Systems. UMAP (Adjunct Publication) 2020: 206-212
2010 – 2019
- 2019
- [c7]Joanna Misztal-Radecka, Dominik Rusiecki, Michal Zmuda, Artur Bujak:
Trend-Responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-World Large-Scale News Recommendation System. INRA@RecSys 2019: 53-62 - [i1]Joanna Misztal-Radecka, Dominik Rusiecki, Michal Zmuda, Artur Bujak:
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System. CoRR abs/1911.11070 (2019) - 2018
- [j2]Joanna Misztal-Radecka:
Building semantic user profile for Polish web news portal. Comput. Sci. 19(3) (2018) - 2016
- [j1]Joanna Misztal-Radecka, Bipin Indurkhya:
A Blackboard System for Generating Poetry. Comput. Sci. 17(2): 265- (2016) - [c6]Bipin Indurkhya, Joanna Misztal-Radecka:
Incorporating Human Dimension in Autonomous Decision-Making on Moral and Ethical Issues. AAAI Spring Symposia 2016 - 2015
- [c5]Joseph Corneli, Anna Jordanous, Rosie Shepperd, Maria Teresa Llano, Joanna Misztal, Simon Colton, Christian Guckelsberger:
Computational Poetry Workshop: Making Sense of Work in Progress. ICCC 2015: 268-275 - [c4]Bipin Indurkhya, Joanna Misztal-Radecka:
On Modeling Cognitive and Affective Factors in Legal Decision-making. JURIX 2015: 157-160 - [c3]Joanna Misztal, Bipin Indurkhya:
Explaining Contextual Recommendations: Interaction Design Study and Prototype Implementation. IntRS@RecSys 2015: 13-20 - 2014
- [c2]Joanna Misztal, Bipin Indurkhya:
A Computational Approach to Re-Interpretation: Generation of Emphatic Poems Inspired by Internet Blogs. AAAI Fall Symposia 2014 - [c1]Joanna Misztal, Bipin Indurkhya:
Poetry generation system with an emotional personality. ICCC 2014: 72-81
Coauthor Index
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