Christin Seifert

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 97

Top Venues

CoRR

TPDL

CogMI

Publications

Paul Youssef, Jörg Schlötterer, Christin Seifert
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs. EACL (Findings) (2024)
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
Out of spuriousity: Improving robustness to spurious correlations without group annotations. CoRR (2024)
Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR (2024)
Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING (2024)
Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, Joel Wessendorf, Meike Nauta, Vincenzo Positano, Christin Seifert
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans. CoRR (2024)
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. CoRR (2024)
Paul Youssef, Jörg Schlötterer, Christin Seifert
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs. CoRR (2024)
Van Bach Nguyen, Paul Youssef, Jörg Schlötterer, Christin Seifert
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. CoRR (2024)
Osman Alperen Koras, Jörg Schlötterer, Christin Seifert
A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study. ECIR (4) (2024)
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. ACL (1) (2024)
Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert
Feature importance to explain multimodal prediction models. A clinical use case. CoRR (2024)
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
CEval: A Benchmark for Evaluating Counterfactual Text Generation. CoRR (2024)
Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. CoRR (2024)
Tanmay Chakraborty, Christin Seifert, Christian Wirth
Explainable Bayesian Optimization. CoRR (2024)
Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification. CoRR (2024)
Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert
Detecting Edited Knowledge in Language Models. CoRR (2024)
Osman Alperen Koras, Jörg Schlötterer, Christin Seifert
A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study. CoRR (2024)
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent. xAI (3) (2023)
Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert, Dagmar Kern
Know What Not To Know: Users' Perception of Abstaining Classifiers. Conference on Designing Interactive Systems (Companion Volume) (2023)
Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
Interpreting and Correcting Medical Image Classification with PIP-Net. ECAI Workshops (1) (2023)
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Comput. Surv. 55 (13s) (2023)
Meike Nauta, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. CVPR (2023)
Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57 (1) (2023)
Meike Nauta, Christin Seifert
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. xAI (1) (2023)
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
Feature Attribution Explanations for Spiking Neural Networks. CogMI (2023)
Paul Youssef, Osman Alperen Koras, Meijie Li, Jörg Schlötterer, Christin Seifert
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models. CoRR (2023)
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
Feature Attribution Explanations for Spiking Neural Networks. CoRR (2023)
Meike Nauta, Christin Seifert
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. CoRR (2023)
Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. IJCAI (2023)
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? CoRR (2023)
Meijie Li, Wolfgang Galetzka, Bahadir Eryilmaz, Georg Christian Lodde, Elisabeth Livingstone, Jörg Schlötterer, Christin Seifert
Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients. LWDA (2023)
Paul Youssef, Jörg Schlötterer, Christin Seifert
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing. ClinicalNLP@ACL (2023)
Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
Interpreting and Correcting Medical Image Classification with PIP-Net. CoRR (2023)
Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert
Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. CoRR (2023)
Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert, Dagmar Kern
Know What Not To Know: Users' Perception of Abstaining Classifiers. CoRR (2023)
Paul Youssef, Osman Alperen Koras, Meijie Li, Jörg Schlötterer, Christin Seifert
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models. EMNLP (Findings) (2023)
Tanmay Chakraborty, Christian Wirth, Christin Seifert
Post-hoc Rule Based Explanations for Black Box Bayesian Optimization. ECAI Workshops (1) (2023)
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. INLG (2023)
Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. CoRR (2023)
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. CoRR (2023)
Saber Zerhoudi, Michael Granitzer, Christin Seifert, Jörg Schlötterer
Simulating User Interaction and Search Behaviour in Digital Libraries. IRCDL (2022)
Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, Michael Granitzer
The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. CIKM (2022)
Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev, Christin Seifert
Model Personalization with Static and Dynamic Patients' Data. ICDM (Workshops) (2022)
Olivier Paalvast, Meike Nauta, Marion Koelle, Jeroen Geerdink, Onno Vijlbrief, Johannes H. Hegeman, Christin Seifert
Radiology report generation for proximal femur fractures using deep classification and language generation models. Artif. Intell. Medicine 128 (2022)
Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. CHI (2022)
Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). CoRR (2022)
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent. CoRR (2022)
Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers. CoRR (2022)
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. CoRR (2022)
Andrea Papenmeier, Dagmar Kern, Gwenn Englebienne, Christin Seifert
It's Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI. ACM Trans. Comput. Hum. Interact. 29 (4) (2022)
Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer
Evaluating Simulated User Interaction and Search Behaviour. ECIR (2) (2022)
Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, Christin Seifert
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. Future Internet 13 (5) (2021)
Meike Nauta, Ron van Bree, Christin Seifert
Neural Prototype Trees for Interpretable Fine-Grained Image Recognition. CVPR (2021)
Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel van Putten, Christin Seifert
leep scoring. Artif. Intell. Medicine 114 (2021)
Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). CogMI (2021)
Dou Liu, Tingting Zhu, Jörg Schlötterer, Christin Seifert, Shenghui Wang
Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. TDS (2021)
Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert
Query Change as a Contextual Markov Model for Simulating User Search Behaviour. FIRE (2021)
Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. PKDD/ECML Workshops (1) (2021)
Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. CogMI (2020)
Jörg Schlötterer, Christin Seifert, Christopher Satchell, Michael Granitzer
QueryCrumbs search query history visualization - Usability, transparency and long-term usage. J. Comput. Lang. 57 (2020)
Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. CoRR (2020)
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. CoRR (2020)
Martin Toepfer, Christin Seifert
Fusion architectures for automatic subject indexing under concept drift. Int. J. Digit. Libr. 21 (2) (2020)
Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. ICDM (Workshops) (2020)
Mihai David Marin, Elena Mocanu, Christin Seifert
Effectiveness of neural language models for word prediction of textual mammography reports. SMC (2020)
Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Meike Nauta, Ron van Bree, Christin Seifert
Neural Prototype Trees for Interpretable Fine-grained Image Recognition. CoRR (2020)
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. HSDM@WSDM (2020)
Valentine Legoy, Marco Caselli, Christin Seifert, Andreas Peter
Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports. CoRR (2020)
Meike Nauta, Michel van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Bos, Maurice van Keulen, Christin Seifert
Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. KDH@ECAI (2020)
Stefanie Scherzinger, Christin Seifert, Lena Wiese
The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. ICDCS (2019)
Kilian Ros, Elena Mocanu, Christin Seifert
Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data. CIC (2019)
Christin Seifert, Stefanie Scherzinger, Lena Wiese
Towards Generating Consumer Labels for Machine Learning Models. CogMI (2019)
Abraham Theodorus, Meike Nauta, Christin Seifert
Evaluating CNN interpretability on sketch classification. ICMV (2019)
Meike Nauta, Doina Bucur, Christin Seifert
Causal Discovery with Attention-Based Convolutional Neural Networks. Mach. Learn. Knowl. Extr. 1 (1) (2019)
Michelle Peters, Lindsay Kempen, Meike Nauta, Christin Seifert
Visualising the Training Process of Convolutional Neural Networks for Non-Experts. BNAIC/BENELEARN (2019)
Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert
Comparing Process Models for Patient Populations: Application in Breast Cancer Care. Business Process Management Workshops (2019)
Andrea Papenmeier, Gwenn Englebienne, Christin Seifert
How model accuracy and explanation fidelity influence user trust. CoRR (2019)
Martin Toepfer, Christin Seifert
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints. CoRR (2018)
Tobias Milz, Christin Seifert
Analysing Author Self-citations in Computer Science Publications. DEXA Workshops (2018)
Tobias Milz, Christin Seifert
Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender. TPDL (2018)
Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance. ICDM Workshops (2018)
Nils Witt, Michael Granitzer, Christin Seifert
Collection-Document Summaries. ECIR (2018)
Nils Witt, Tobias Milz, Christin Seifert
Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases. DS (2018)
Jörg Schlötterer, Christin Seifert, Michael Granitzer
QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals. IV (2018)
Martin Toepfer, Christin Seifert
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts Under Precision and Recall Constraints. TPDL (2018)
Martin Toepfer, Christin Seifert
Descriptor-Invariant Fusion Architectures for Automatic Subject Indexing. JCDL (2017)
Christin Seifert, Annett Mitschick, Jörg Schlötterer, Raimund Dachselt
Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data. CHIIR (2017)
Christin Seifert, Jörg Schlötterer, Michael Granitzer
QueryCrumbs: A Compact Visualization for Navigating the Search Query History. IV (2017)
Jörg Schlötterer, Christin Seifert, Michael Granitzer
On Joint Representation Learning of Network Structure and Document Content. CD-MAKE (2017)
Martin Toepfer, Christin Seifert
Towards Semantic Quality Control of Automatic Subject Indexing. TPDL (2017)
Nils Witt, Christin Seifert
Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks. TPDL (2017)
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings. ESWC (2016)
Nils Witt, Christin Seifert, Michael Granitzer
Explaining Topical Distances Using Word Embeddings. DEXA Workshops (2016)
Johannes Jurgovsky, Michael Granitzer, Christin Seifert
Evaluating Memory Efficiency and Robustness of Word Embeddings. ECIR (2016)
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
Robust and Collective Entity Disambiguation through Semantic Embeddings. SIGIR (2016)
Jörg Schlötterer, Christin Seifert, Michael Granitzer
Supporting Web Surfers in Finding Related Material in Digital Library Repositories. TPDL (2016)
Christin Seifert, Jörg Schlötterer, Michael Granitzer
Towards a feature-rich data set for personalized access to long-tail content. SAC (2015)
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation. DEXA (1) (2015)
Jörg Schlötterer, Christin Seifert, Wolfgang Lutz, Michael Granitzer
From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects. ECIR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christin Seifert