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ORCIDAzin Ghazimatin
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2020 – today
- 2024
[c9]Azin Ghazimatin
, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas:
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CIKM 2024: 4487-4495- [i6]Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas:
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CoRR abs/2410.16148 (2024) - 2023
- [c8]Azin Ghazimatin:
Enhancing Explainability and Scrutability of Recommender Systems. BTW 2023: 633-640 - 2022
- [c7]Azin Ghazimatin, Matthäus Kleindessner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski:
Measuring Fairness of Rankings under Noisy Sensitive Information. FAccT 2022: 2263-2279 - 2021
- [b1]Azin Ghazimatin:
Enhancing explainability and scrutability of recommender systems. Saarland University, Saarbrücken, Germany, 2021 - [c6]Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy:
Counterfactual Explanations for Neural Recommenders. SIGIR 2021: 1627-1631 - [c5]Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum:
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. WWW 2021: 3850-3860 - [i5]Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum:
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. CoRR abs/2102.09388 (2021) - [i4]Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy:
Counterfactual Explanations for Neural Recommenders. CoRR abs/2105.05008 (2021) - 2020
- [c4]Azin Ghazimatin:
Explaining Recommendations in Heterogeneous Networks. SIGIR 2020: 2479 - [c3]Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum:
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. WSDM 2020: 196-204
2010 – 2019
- 2019
- [c2]Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum:
FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds. WSDM 2019: 240-248 - [i3]Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum:
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds. CoRR abs/1908.03109 (2019) - [i2]Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum:
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. CoRR abs/1911.08378 (2019) - 2017
- [c1]Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi, Gerhard Weikum:
Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities. CIKM 2017: 267-276 - 2016
- [j1]MohammadAmin Fazli, Azin Ghazimatin, Jafar Habibi, Hamid Haghshenas:
Team selection for prediction tasks. J. Comb. Optim. 31(2): 743-757 (2016) - 2014
- [i1]MohammadAmin Fazli, Azin Ghazimatin, Jafar Habibi, Hamid Haghshenas:
Team Selection For Prediction Tasks. CoRR abs/1406.0140 (2014)
Coauthor Index
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