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Hinda Haned
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2020 – today
- 2022
- [c4]Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. AAAI 2022: 5313-5322 - [c3]Nina Spreitzer, Hinda Haned, Ilse van der Linden:
Evaluating the Practicality of Counterfactual Explanations. XAI.it@AI*IA 2022: 31-50 - [c2]Mieke Wilms, Giovanni Sileno, Hinda Haned:
PEBAM: A Profile-Based Evaluation Method for Bias Assessment on Mixed Datasets. KI 2022: 209-223 - 2021
- [i6]Kim de Bie, Ana Lucic, Hinda Haned:
To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions. CoRR abs/2104.06982 (2021) - 2020
- [c1]Ana Lucic, Hinda Haned, Maarten de Rijke:
Why does my model fail?: contrastive local explanations for retail forecasting. FAT* 2020: 90-98 - [i5]Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke:
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. CoRR abs/2008.03391 (2020)
2010 – 2019
- 2019
- [j1]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [i4]Ana Lucic, Hinda Haned, Maarten de Rijke:
Explaining Predictions from Tree-based Boosting Ensembles. CoRR abs/1907.02582 (2019) - [i3]Ilse van der Linden, Hinda Haned, Evangelos Kanoulas:
Global Aggregations of Local Explanations for Black Box models. CoRR abs/1907.03039 (2019) - [i2]Ana Lucic, Hinda Haned, Maarten de Rijke:
Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. CoRR abs/1908.00085 (2019) - [i1]Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. CoRR abs/1911.12199 (2019)
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