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Joanna Misztal-Radecka
Joanna Misztal-Radecka
Expert Data Scientist, Ringier Axel Springer Polska
Bestätigte E-Mail-Adresse bei agh.edu.pl
Titel
Zitiert von
Zitiert von
Jahr
Poetry generation system with an emotional personality.
J Misztal, B Indurkhya
ICCC, 72-81, 2014
542014
Computational poetry workshop: Making sense of work in progress
J Corneli, A Jordanous, R Shepperd, MT Llano, J Misztal, S Colton, ...
International Conference on Computational Creativity 2015, 268-275, 2015
212015
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems
J Misztal-Radecka, B Indurkhya, A Smywiński-Pohl
User Modeling and User-Adapted Interaction 31 (2), 261-286, 2021
182021
Bias-Aware Hierarchical Clustering for detecting the discriminated groups of users in recommendation systems
J Misztal-Radecka, B Indurkhya
Information Processing & Management 58 (3), 102519, 2021
172021
A blackboard system for generating poetry
J Misztal-Radecka, B Indurkhya
Computer Science 17 (2), 2016
172016
Explaining Contextual Recommendations: Interaction Design Study and Prototype Implementation.
J Misztal, B Indurkhya
IntRS@ RecSys, 13-20, 2015
172015
Incorporating human dimension in autonomous decision-making on moral and ethical issues
B Indurkhya, J Misztal-Radecka
2016 AAAI Spring Symposium Series, 2016
82016
Building semantic user profile for Polish web news portal
J Misztal-Radecka
Computer Science 19 (3), 2018
72018
Getting to know your neighbors (KYN). Explaining item similarity in nearest neighbors collaborative filtering recommendations
J Misztal-Radecka, B Indurkhya
Adjunct publication of the 28th ACM conference on user modeling, adaptation …, 2020
62020
A bias detection tree approach for detecting disparities in a recommendation model’s errors
J Misztal-Radecka, B Indurkhya
User Modeling and User-Adapted Interaction 33 (1), 43-79, 2023
32023
Persona prototypes for improving the qualitative evaluation of recommendation systems
J Misztal-Radecka, B Indurkhya
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation …, 2020
22020
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System
J Misztal-Radecka, D Rusiecki, M Żmuda, A Bujak
7th International Workshop on News Recommendation and Analytics (INRA 2019 …, 2019
22019
On modeling cognitive and affective factors in legal decision-making
B Indurkhya, J Misztal-Radecka
Legal Knowledge and Information Systems, 157-160, 2015
22015
When is a recommendation model wrong? A model-agnostic tree-based approach to detecting biases in recommendations
J Misztal-Radecka, B Indurkhya
International Workshop on Algorithmic Bias in Search and Recommendation, 92-105, 2021
12021
A Computational Approach to Re-Interpretation: Generation of Emphatic Poems Inspired by Internet Blogs
J Misztal, B Indurkhya
2014 AAAI Fall Symposium Series, 2014
12014
Detecting Algorithmic Biases in Recommendation Systems
J Misztal-Radecka
2021
Acknowledgment to reviewers
BB Boratto, AC Valdez, P Campos, R Celebi, A Ciocarlan, G Cortellessa, ...
2021
Poetry Generation System
J Misztal
2014
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