From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects. - Jörg Schlötterer; Christin Seifert; Wolfgang Lutz; Michael Granitzer (ECIR, 2015)

A Game with a Purpose to Access Europe's Cultural Treasure. - Jörg Schlötterer; Christin Seifert; Lisa Wagner; Michael Granitzer (GamifIR@ECIR, 2015)

User Interface Considerations for Browser-Based Just-in-Time-Retrieval. - Christin Seifert; Jörg Schlötterer; Michael Granitzer (IV, 2015)

From context to query. - Jörg Schlötterer (SAC, 2015)

Towards a feature-rich data set for personalized access to long-tail content. - Christin Seifert; Jörg Schlötterer; Michael Granitzer (SAC, 2015)

Supporting Web Surfers in Finding Related Material in Digital Library Repositories. - Jörg Schlötterer; Christin Seifert; Michael Granitzer (TPDL, 2016)

Inferring semantic interest profiles from Twitter followees: does Twitter know better than your friends? - Christoph Besel; Jörg Schlötterer; Michael Granitzer (SAC, 2016)

On Joint Representation Learning of Network Structure and Document Content. - Jörg Schlötterer; Christin Seifert; Michael Granitzer (CD-MAKE, 2017)

Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data. - Christin Seifert; Annett Mitschick; Jörg Schlötterer; Raimund Dachselt (CHIIR, 2017)

QueryCrumbs: A Compact Visualization for Navigating the Search Query History. - Christin Seifert; Jörg Schlötterer; Michael Granitzer (IV, 2017)

Ubiquitous Access to Digital Cultural Heritage. - Christin Seifert; Werner Bailer; Thomas Orgel; Louis Gantner; Roman Kern; Hermann Ziak; Albin Petit; Jörg Schlötterer; Stefan Zwicklbauer; Michael Granitzer (ACM Journal on Computing and Cultural Heritage, 2017)

Shortest Path Distance Approximation Using Deep Learning Techniques. - Fatemeh Salehi Rizi; Jörg Schlötterer; Michael Granitzer (ASONAM, 2018)

QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals. - Jörg Schlötterer; Christin Seifert; Michael Granitzer (IV, 2018)

Investigating Extensions to Random Walk Based Graph Embedding. - Jörg Schlötterer; Martin Wehking; Fatemeh Salehi Rizi; Michael Granitzer (ICCC, 2019)

Policy Learning for Malaria Control. - Van Bach Nguyen; Belaid Mohamed Karim; Bao Long Vu; Jörg Schlötterer; Michael Granitzer (CoRR, 2019)

Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings. - Christian Reiser; Jörg Schlötterer; Michael Granitzer (CoRR, 2019)

Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection. - Amirhossein Ansari; Masoud Dadgar; Ali Hamzeh; Jörg Schlötterer; Michael Granitzer (CoRR, 2019)

Influence of Random Walk Parametrization on Graph Embeddings. - Fabian Schliski; Jörg Schlötterer; Michael Granitzer (ECIR (2), 2020)

QueryCrumbs search query history visualization - Usability, transparency and long-term usage. - Jörg Schlötterer; Christin Seifert; Christopher Satchell; Michael Granitzer (J. Comput. Lang., 2020)

Supporting the Discovery of Long-Tail Resources on the Web. - Jörg Schlötterer (2020)

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). - Hendrik F. R. Schmidt; Jörg Schlötterer; Marcel Bargull; Enrico Nasca; Ryan Aydelott; Christin Seifert; Folker Meyer (CogMI, 2021)

Query Change as a Contextual Markov Model for Simulating User Search Behaviour. - Saber Zerhoudi; Michael Granitzer; Jörg Schlötterer; Christin Seifert (FIRE, 2021)

Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. - Sahib Julka; Vishal Sowrirajan; Joerg Schloetterer; Michael Granitzer (LOD, 2021)

Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. - Dou Liu; Tingting Zhu; Jörg Schlötterer; Christin Seifert; Shenghui Wang 001 (TDS, 2021)

Evaluating Simulated User Interaction and Search Behaviour. - Saber Zerhoudi; Michael Granitzer; Christin Seifert; Joerg Schloetterer (ECIR (2), 2022)

Model Personalization with Static and Dynamic Patients' Data. - Paul Youssef; Jörg Schlötterer; Sultan Imangaliyev; Christin Seifert (ICDM (Workshops), 2022)

Simulating User Interaction and Search Behaviour in Digital Libraries. - Saber Zerhoudi; Michael Granitzer; Christin Seifert; Jörg Schlötterer (IRCDL, 2022)

Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (CoRR, 2022)

Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing. - Paul Youssef; Jörg Schlötterer; Christin Seifert (ClinicalNLP@ACL, 2023)

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. - Meike Nauta; Jörg Schlötterer; Maurice van Keulen; Christin Seifert (CVPR, 2023)

Interpreting and Correcting Medical Image Classification with PIP-Net. - Meike Nauta; Johannes H. Hegeman; Jeroen Geerdink; Jörg Schlötterer; Maurice van Keulen; Christin Seifert (ECAI Workshops (1), 2023)

Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models. - Paul Youssef; Osman Alperen Koras; Meijie Li; Jörg Schlötterer; Christin Seifert (EMNLP (Findings), 2023)

Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. - Phuong Quynh Le; Meike Nauta; Van Bach Nguyen; Shreyasi Pathak; Jörg Schlötterer; Christin Seifert (IJCAI, 2023)

Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. - Jan Trienes; Paul Youssef; Jörg Schlötterer; Christin Seifert (INLG, 2023)

Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients. - Meijie Li; Wolfgang Galetzka; Bahadir Eryilmaz; Georg Christian Lodde; Elisabeth Livingstone; Jörg Schlötterer; Christin Seifert (LWDA, 2023)

From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (xAI (3), 2023)

Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? - Phuong Quynh Le; Jörg Schlötterer; Christin Seifert (CoRR, 2023)

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. - Shreyasi Pathak; Jörg Schlötterer; Jeroen Geerdink; Onno Dirk Vijlbrief; Maurice van Keulen; Christin Seifert (CoRR, 2023)

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. - Meike Nauta; Jan Trienes; Shreyasi Pathak; Elisa Nguyen; Michelle Peters; Yasmin Schmitt; Jörg Schlötterer; Maurice van Keulen; Christin Seifert (ACM Comput. Surv., 2023)

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. - Jan Trienes; Sebastian Joseph; Jörg Schlötterer; Christin Seifert; Kyle Lo; Wei Xu 004; Byron C. Wallace; Junyi Jessy Li (ACL (1), 2024)

Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine. - Bahadir Eryilmaz; Osman Alperen Koras; Jörg Schlötterer; Christin Seifert (CogMI, 2024)

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. - Ahmad Idrissi-Yaghir; Amin Dada; Henning Schäfer; Kamyar Arzideh; Giulia Baldini 001; Jan Trienes; Max Hasin; Jeanette Bewersdorff; Cynthia S. Schmidt; Marie Bauer; Kaleb E. Smith; Jiang Bian 001; et al. (LREC/COLING, 2024)

The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs. - Paul Youssef; Jörg Schlötterer; Christin Seifert (EACL (Findings), 2024)

A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study. - Osman Alperen Koras; Jörg Schlötterer; Christin Seifert (ECIR (4), 2024)

LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. - Van Bach Nguyen; Paul Youssef; Christin Seifert; Jörg Schlötterer (EMNLP (Findings), 2024)

CEval: A Benchmark for Evaluating Counterfactual Text Generation. - Van Bach Nguyen; Christin Seifert; Jörg Schlötterer (INLG, 2024)

PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans. - Lisa Anita De Santi; Jörg Schlötterer; Michael Scheschenja; Joel Wessendorf; Meike Nauta; Vincenzo Positano; Christin Seifert (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Corpus Considerations for Annotator Modeling and Scaling. - Olufunke Oluyemi Sarumi; Béla Neuendorf; Joan Plepi; Lucie Flek; Jörg Schlötterer; Charles Welch (NAACL-HLT, 2024)

XAgent: A Conversational XAI Agent Harnessing the Power of Large Language Models. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. - Shreyasi Pathak; Jörg Schlötterer; Jeroen Veltman; Jeroen Geerdink; Maurice van Keulen; Christin Seifert (xAI (1), 2024)

Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification. - Lisa Anita De Santi; Jörg Schlötterer; Meike Nauta; Vincenzo Positano; Christin Seifert (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Detecting Edited Knowledge in Language Models. - Paul Youssef; Zhixue Zhao; Jörg Schlötterer; Christin Seifert (CoRR, 2024)

Can We Reverse In-Context Knowledge Edits? - Paul Youssef; Zhixue Zhao; Jörg Schlötterer; Christin Seifert (CoRR, 2024)

Enhancing Fact Retrieval in PLMs through Truthfulness. - Paul Youssef; Jörg Schlötterer; Christin Seifert (CoRR, 2024)

Behavioral Analysis of Information Salience in Large Language Models. - Jan Trienes; Jörg Schlötterer; Junyi Jessy Li; Christin Seifert (ACL (Findings), 2025)

Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives. - Olufunke Oluyemi Sarumi; Charles Welch; Lucie Flek; Jörg Schlötterer (COLING Workshops, 2025)

Comparing the Visual Quality of Deep Generative Models for Steel Microstructures. - Marcel Wentzien; Jerome Ingber; Jörg Schlötterer; Dirk Schmalzried (KI, 2025)

Has this Fact been Edited? Detecting Knowledge Edits in Language Models. - Paul Youssef; Zhixue Zhao; Christin Seifert; Jörg Schlötterer (NAACL (Long Papers), 2025)

How to Make LLMs Forget: On Reversing In-Context Knowledge Edits. - Paul Youssef; Zhixue Zhao; Jörg Schlötterer; Christin Seifert (NAACL (Long Papers), 2025)

Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations. - Phuong Quynh Le; Jörg Schlötterer; Christin Seifert (Trans. Mach. Learn. Res., 2025)

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers. - Lukas Kuhn; Sari Sadiya; Jörg Schlötterer; Christin Seifert; Gemma Roig (CoRR, 2025)

Position: Editing Large Language Models Poses Serious Safety Risks. - Paul Youssef; Zhixue Zhao; Daniel Braun 013; Jörg Schlötterer; Christin Seifert (CoRR, 2025)

This looks like what? Challenges and Future Research Directions for Part-Prototype Models. - Khawla Elhadri; Tomasz Michalski 002; Adam Wróbel; Jörg Schlötterer; Bartosz Zielinski 001; Christin Seifert (CoRR, 2025)

Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification. - Van Bach Nguyen; Christin Seifert; Jörg Schlötterer (CoRR, 2025)

An XAI-based Analysis of Shortcut Learning in Neural Networks. - Phuong Quynh Le; Jörg Schlötterer; Christin Seifert (CoRR, 2025)

Invariant Learning with Annotation-free Environments. - Phuong Quynh Le; Christin Seifert; Jörg Schlötterer (CoRR, 2025)

Explanation format does not matter; but explanations do - An Eggsbert study on explaining Bayesian Optimisation tasks. - Tanmay Chakraborty; Marion Koelle; Jörg Schlötterer; Nadine Schlicker; Christian Wirth 001; Christin Seifert (CoRR, 2025)

Tracing and Reversing Rank-One Model Edits. - Paul Youssef; Zhixue Zhao; Christin Seifert; Jörg Schlötterer (CoRR, 2025)

Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support. - Jan Trienes; Anastasiia Derzhanskaia; Roland Schwarzkopf; Markus Mühling; Jörg Schlötterer; Christin Seifert (CoRR, 2025)