A Computational Approach to Re-Interpretation: Generation of Emphatic Poems Inspired by Internet Blogs. - Joanna Misztal; Bipin Indurkhya (AAAI Fall Symposia, 2014)

Poetry generation system with an emotional personality. - Joanna Misztal; Bipin Indurkhya (ICCC, 2014)

Computational Poetry Workshop: Making Sense of Work in Progress. - Joseph Corneli; Anna Jordanous; Rosie Shepperd; Maria Teresa Llano; Joanna Misztal; Simon Colton; Christian Guckelsberger (ICCC, 2015)

On Modeling Cognitive and Affective Factors in Legal Decision-making. - Bipin Indurkhya; Joanna Misztal-Radecka (JURIX, 2015)

Explaining Contextual Recommendations: Interaction Design Study and Prototype Implementation. - Joanna Misztal; Bipin Indurkhya (IntRS@RecSys, 2015)

Incorporating Human Dimension in Autonomous Decision-Making on Moral and Ethical Issues. - Bipin Indurkhya; Joanna Misztal-Radecka (AAAI Spring Symposia, 2016)

A Blackboard System for Generating Poetry. - Joanna Misztal-Radecka; Bipin Indurkhya (Comput. Sci., 2016)

Building semantic user profile for Polish web news portal. - Joanna Misztal-Radecka (Comput. Sci., 2018)

Trend-Responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-World Large-Scale News Recommendation System. - Joanna Misztal-Radecka; Dominik Rusiecki; Michal Zmuda; Artur Bujak (INRA@RecSys, 2019)

Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering Recommendations. - Joanna Misztal-Radecka; Bipin Indurkhya (UMAP (Adjunct Publication), 2020)

Persona Prototypes for Improving the Qualitative Evaluation of Recommendation Systems. - Joanna Misztal-Radecka; Bipin Indurkhya (UMAP (Adjunct Publication), 2020)

When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations. - Joanna Misztal-Radecka; Bipin Indurkhya (BIAS, 2021)

Bias-Aware Hierarchical Clustering for detecting the discriminated groups of users in recommendation systems. - Joanna Misztal-Radecka; Bipin Indurkhya (Inf. Process. Manag., 2021)

Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems. - Joanna Misztal-Radecka; Bipin Indurkhya; Aleksander Smywinski-Pohl (User Model. User Adapt. Interact., 2021)

A bias detection tree approach for detecting disparities in a recommendation model's errors. - Joanna Misztal-Radecka; Bipin Indurkhya (User Model. User Adapt. Interact., 2023)