Comparing the Similarities and Differences between Two Translations. - Ana Lucic; Catherine Blake (DH, 2011)

Characterizing Authorship Style Using Linguistic Features. - Ana Lucic; Catherine Blake (DH, 2012)

The University of Illinois' Graduate School of Library and Information Science at TREC 2012. - Miles Efron; Jana Deisner; Peter Organisciak; Garrick Sherman; Ana Lucic (TREC, 2012)

The University of Illinois' Graduate School of Library and Information Science at TREC 2013. - Miles Efron; Craig Willis; Peter Organisciak; Brian Balsamo; Ana Lucic (TREC, 2013)

Learning user-defined, domain-specific relations: A situated case study and evaluation in plant science. - Ana Lucic; Catherine Blake (ASIST, 2015)

Automatic endpoint detection to support the systematic review process. - Catherine Blake; Ana Lucic (J. Biomed. Informatics, 2015)

A syntactic characterization of authorship style surrounding proper names. - Ana Lucic; Catherine Blake (Digit. Scholarsh. Humanit., 2015)

Improving Endpoint Detection to Support Automated Systematic Reviews. - Ana Lucic; Catherine Blake (AMIA, 2016)

Preparing a workforce to effectively reuse data. - Ana Lucic; Catherine Blake (ASIST, 2016)

Real and Imagined Geography at City-Scale: Sentiment Analysis of Chicago's "One Book" Program. - Ana Lucic; John Shanahan (DH, 2017)

Circulation Modeling of Library Book Promotions. - Robin Burke; Ana Lucic; John Shanahan (JCDL, 2017)

Automatically identifying facet roles from comparative structures to support biomedical text summarization - Ana Lucic (2017)

Unsupervised Clustering with Smoothing for Detecting Paratext Boundaries in Scanned Documents. - Ana Lucic; Robin Burke; John Shanahan (JCDL, 2019)

Explaining Predictions from Tree-based Boosting Ensembles. - Ana Lucic; Hinda Haned; Maarten de Rijke (CoRR, 2019)

Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. - Ana Lucic; Hinda Haned; Maarten de Rijke (CoRR, 2019)

Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. - Ana Lucic; Harrie Oosterhuis; Hinda Haned; Maarten de Rijke (CoRR, 2019)

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. - Alexandra Olteanu; Jean Garcia-Gathright; Maarten de Rijke; Michael D. Ekstrand; Adam Roegiest; Aldo Lipani; Alex Beutel; Ana Lucic; Ana-Andreea Stoica; Anubrata Das 001; Asia Biega; Bart Voorn; et al. (SIGIR Forum, 2019)

Why does my model fail?: contrastive local explanations for retail forecasting. - Ana Lucic; Hinda Haned; Maarten de Rijke (FAT*, 2020)

Reading Chicago Reading: Quantitative Analysis of a Repeating Literary Program. - John Shanahan; Robin Burke; Ana Lucic (Digit. Humanit. Q., 2020)

A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. - Ana Lucic; Madhulika Srikumar; Umang Bhatt; Alice Xiang; Ankur Taly; Q. Vera Liao; Maarten de Rijke (CoRR, 2021)

To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions. - Kim de Bie; Ana Lucic; Hinda Haned (CoRR, 2021)

Order in the Court: Explainable AI Methods Prone to Disagreement. - Michael Neely; Stefan F. Schouten; Maurits J. R. Bleeker; Ana Lucic (CoRR, 2021)

Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility. - Ana Lucic; Maurits J. R. Bleeker; Sami Jullien; Samarth Bhargav 001; Maarten de Rijke (CoRR, 2021)

Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. - Ana Lucic; Maurits J. R. Bleeker; Sami Jullien; Samarth Bhargav 001; Maarten de Rijke (AAAI, 2022)

FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. - Ana Lucic; Harrie Oosterhuis; Hinda Haned; Maarten de Rijke (AAAI, 2022)

Towards Reproducible Machine Learning Research in Natural Language Processing. - Ana Lucic; Maurits J. R. Bleeker; Samarth Bhargav 001; Jessica Zosa Forde; Koustuv Sinha; Jesse Dodge; Sasha Luccioni; Robert Stojnic (ACL (tutorial), 2022)

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. - Ana Lucic; Maartje A. ter Hoeve; Gabriele Tolomei; Maarten de Rijke; Fabrizio Silvestri (AISTATS, 2022)

A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing. - Michael Neely; Stefan F. Schouten; Maurits J. R. Bleeker; Ana Lucic (HHAI, 2022)

Towards Reproducible Machine Learning Research in Information Retrieval. - Ana Lucic; Maurits J. R. Bleeker; Maarten de Rijke; Koustuv Sinha; Sami Jullien; Robert Stojnic (SIGIR, 2022)

Barriers to computer vision applications in pig production facilities. - 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 (Comput. Electron. Agric., 2022)

Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. - Ana Lucic; Sheeraz Ahmad; Amanda Furtado Brinhosa; Vera Liao; Himani Agrawal; Umang Bhatt; Krishnaram Kenthapadi; Alice Xiang; Maarten de Rijke; Nicholas Drabowski (CoRR, 2022)

Explaining Predictions from Machine Learning Models: Algorithms, Users, and Pedagogy. - Ana Lucic (CoRR, 2022)

Semi-Supervised Object Detection in the Open World. - Garvita Allabadi; Ana Lucic; Peter Pao-Huang; Yu-Xiong Wang; Vikram S. Adve (CoRR, 2023)

Clifford-Steerable Convolutional Neural Networks. - Maksim Zhdanov 001; David Ruhe; Maurice Weiler; Ana Lucic; Johannes Brandstetter; Patrick Forré (ICML, 2024)

Aurora: A Foundation Model of the Atmosphere. - 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; et al. (CoRR, 2024)

A foundation model for the Earth system. - Cristian Bodnar; Wessel P. Bruinsma; Ana Lucic; Megan Stanley; Anna Allen; Johannes Brandstetter; Patrick Garvan; Maik Riechert; Jonathan A. Weyn; Haiyu Dong; Jayesh K. Gupta; Kit Thambiratnam; et al. (Nat., 2025)

Information Retrieval for Climate Impact. - Maarten de Rijke; Bart Van den Hurk; Flora Salim; Alaa Al Khourdajie; Nan Bai; Renato Calzone; Declan J. Curran; Getnet Demil; Lesley Frew; Noah Gießing; Mukesh Kumar Gupta; Maria Heuss; et al. (CoRR, 2025)

Learning to Detect Novel Species with SAM in the Wild. - Garvita Allabadi; Ana Lucic; Yu-Xiong Wang; Vikram S. Adve (Int. J. Comput. Vis., 2025)