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2020 – today
- 2024
[c18]Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré:
Clifford-Steerable Convolutional Neural Networks. ICML 2024- [i14]Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré:
Clifford-Steerable Convolutional Neural Networks. CoRR abs/2402.14730 (2024) - [i13]Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Thambiratnam, Alex Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris:
Aurora: A Foundation Model of the Atmosphere. CoRR abs/2405.13063 (2024) - 2023
- [i12]Garvita Allabadi, Ana Lucic, Peter Pao-Huang, Yu-Xiong Wang, Vikram S. Adve:
Semi-Supervised Object Detection in the Open World. CoRR abs/2307.15710 (2023) - 2022
- [j5]Jiangong Li
, Angela Green-Miller, Xiaodan Hu, Ana Lucic, Mahesh Mohan M. R., Ryan N. Dilger, Isabella C. F. S. Condotta, Brian Aldridge, John M. Hart, Narendra Ahuja:
Barriers to computer vision applications in pig production facilities. Comput. Electron. Agric. 200: 107227 (2022) - [c17]Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. AAAI 2022: 5313-5322 - [c16]Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke:
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. AAAI 2022: 12792-12800 - [c15]Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic:
Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) 2022: 7-11 - [c14]Ana Lucic, Maartje A. ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. AISTATS 2022: 4499-4511 - [c13]Michael Neely, Stefan F. Schouten, Maurits J. R. Bleeker, Ana Lucic:
A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing. HHAI 2022: 60-78 - [c12]Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic:
Towards Reproducible Machine Learning Research in Information Retrieval. SIGIR 2022: 3459-3461 - [i11]Michael Neely, Stefan F. Schouten, Maurits J. R. Bleeker, Ana Lucic:
A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing. CoRR abs/2205.04559 (2022) - [i10]Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski:
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. CoRR abs/2207.02726 (2022) - [i9]Ana Lucic:
Explaining Predictions from Machine Learning Models: Algorithms, Users, and Pedagogy. CoRR abs/2209.05084 (2022) - 2021
- [i8]Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. CoRR abs/2102.03322 (2021) - [i7]Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke:
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. CoRR abs/2103.14976 (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) - [i5]Michael Neely, Stefan F. Schouten, Maurits J. R. Bleeker, Ana Lucic:
Order in the Court: Explainable AI Methods Prone to Disagreement. CoRR abs/2105.03287 (2021) - [i4]Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke:
Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility. CoRR abs/2111.00826 (2021) - 2020
- [j4]John Shanahan, Robin Burke, Ana Lucic:
Reading Chicago Reading: Quantitative Analysis of a Repeating Literary Program. Digit. Humanit. Q. 14(2) (2020) - [c11]Ana Lucic, Hinda Haned, Maarten de Rijke:
Why does my model fail?: contrastive local explanations for retail forecasting. FAT* 2020: 90-98
2010 – 2019
- 2019
- [j3]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) - [c10]Ana Lucic, Robin Burke, John Shanahan:
Unsupervised Clustering with Smoothing for Detecting Paratext Boundaries in Scanned Documents. JCDL 2019: 53-56 - [i3]Ana Lucic, Hinda Haned, Maarten de Rijke:
Explaining Predictions from Tree-based Boosting Ensembles. CoRR abs/1907.02582 (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) - 2017
- [b1]Ana Lucic:
Automatically identifying facet roles from comparative structures to support biomedical text summarization. University of Illinois Urbana-Champaign, USA, 2017 - [c9]Ana Lucic, John Shanahan:
Real and Imagined Geography at City-Scale: Sentiment Analysis of Chicago's "One Book" Program. DH 2017 - [c8]Robin Burke, Ana Lucic, John Shanahan:
Circulation Modeling of Library Book Promotions. JCDL 2017: 291-292 - 2016
- [c7]Ana Lucic, Catherine Blake:
Improving Endpoint Detection to Support Automated Systematic Reviews. AMIA 2016 - [c6]Ana Lucic, Catherine Blake:
Preparing a workforce to effectively reuse data. ASIST 2016: 1-10 - 2015
- [j2]Catherine Blake, Ana Lucic:
Automatic endpoint detection to support the systematic review process. J. Biomed. Informatics 56: 42-56 (2015) - [j1]Ana Lucic, Catherine Blake:
A syntactic characterization of authorship style surrounding proper names. Digit. Scholarsh. Humanit. 30(1): 53-70 (2015) - [c5]Ana Lucic, Catherine Blake:
Learning user-defined, domain-specific relations: A situated case study and evaluation in plant science. ASIST 2015: 1-12 - 2013
- [c4]Miles Efron, Craig Willis, Peter Organisciak, Brian Balsamo, Ana Lucic:
The University of Illinois' Graduate School of Library and Information Science at TREC 2013. TREC 2013 - 2012
- [c3]Ana Lucic, Catherine Blake:
Characterizing Authorship Style Using Linguistic Features. DH 2012: 273-275 - [c2]Miles Efron, Jana Deisner, Peter Organisciak, Garrick Sherman, Ana Lucic:
The University of Illinois' Graduate School of Library and Information Science at TREC 2012. TREC 2012 - 2011
- [c1]Ana Lucic, Catherine Blake:
Comparing the Similarities and Differences between Two Translations. DH 2011: 174-176
Coauthor Index
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