Christin Seifert

197 papers A* 8A 8B 12C 10Misc 2Journal 70Unranked 76
YearRankTypeTitle / Venue / Authors
2026 — conf
How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective.
EACL (Volume 1: Long Papers)
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
2026 J jnl
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation.
CoRR
Qianli Wang, Van Bach Nguyen, Yihong Liu, Fedor Splitt, Nils Feldhus, Christin Seifert, Hinrich Schütze, Sebastian Möller, Vera Schmitt
2026 — conf
Persuasion Tokens for Editing Factual Knowledge in LLMs.
EACL (Volume 2: Short Papers)
Paul Youssef, Jörg Schlötterer, Christin Seifert
2026 J jnl
Persuasion Tokens for Editing Factual Knowledge in LLMs.
CoRR
Paul Youssef, Christin Seifert, Jörg Schlötterer
2025 — conf
An XAI-Based Analysis of Shortcut Learning in Neural Networks.
xAI (3)
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
2025 J jnl
An XAI-based Analysis of Shortcut Learning in Neural Networks.
CoRR
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
2025 — conf
Behavioral Analysis of Information Salience in Large Language Models.
ACL (Findings)
Jan Trienes, Jörg Schlötterer, Junyi Jessy Li, Christin Seifert
2025 J jnl
Behavioral Analysis of Information Salience in Large Language Models.
CoRR
Jan Trienes, Jörg Schlötterer, Junyi Jessy Li, Christin Seifert
2025 J jnl
Breast cancer prediction using mammography exams for real hospital settings.
Comput. Biol. Medicine
Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Jeroen Veltman, Maurice van Keulen, Nicola Strisciuglio, Christin Seifert
2025 — conf
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection.
xAI (1)
Tanmay Chakraborty, Christian Wirth, Christin Seifert
2025 J jnl
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection.
CoRR
Tanmay Chakraborty, Christian Wirth, Christin Seifert
2025 J jnl
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers.
CoRR
Lukas Kuhn, Sari Sadiya, Jörg Schlötterer, Christin Seifert, Gemma Roig
2025 — conf
Explainable Bayesian Optimization.
xAI (2)
Tanmay Chakraborty, Christian Wirth, Christin Seifert
2025 J jnl
Explanation format does not matter; but explanations do - An Eggsbert study on explaining Bayesian Optimisation tasks.
CoRR
Tanmay Chakraborty, Marion Koelle, Jörg Schlötterer, Nadine Schlicker, Christian Wirth, Christin Seifert
2025 — conf
Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification.
xAI (4)
Van Bach Nguyen, Christin Seifert, Jörg Schlötterer
2025 J jnl
Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification.
CoRR
Van Bach Nguyen, Christin Seifert, Jörg Schlötterer
2025 — conf
Has this Fact been Edited? Detecting Knowledge Edits in Language Models.
NAACL (Long Papers)
Paul Youssef, Zhixue Zhao, Christin Seifert, Jörg Schlötterer
2025 — conf
How to Make LLMs Forget: On Reversing In-Context Knowledge Edits.
NAACL (Long Papers)
Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert
2025 J jnl
Invariant Learning with Annotation-free Environments.
CoRR
Phuong Quynh Le, Christin Seifert, Jörg Schlötterer
2025 — conf
Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support.
EMNLP (System Demonstrations)
Jan Trienes, Anastasiia Derzhanskaia, Roland Schwarzkopf, Markus Mühling, Jörg Schlötterer, Christin Seifert
2025 J jnl
Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support.
CoRR
Jan Trienes, Anastasiia Derzhanskaia, Roland Schwarzkopf, Markus Mühling, Jörg Schlötterer, Christin Seifert
2025 J jnl
Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations.
Trans. Mach. Learn. Res.
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
2025 — conf
Position: Editing Large Language Models Poses Serious Safety Risks.
ICML (Position Papers)
Paul Youssef, Zhixue Zhao, Daniel Braun, Jörg Schlötterer, Christin Seifert
2025 J jnl
Position: Editing Large Language Models Poses Serious Safety Risks.
CoRR
Paul Youssef, Zhixue Zhao, Daniel Braun, Jörg Schlötterer, Christin Seifert
2025 J jnl
Quantifying Edits Decay in Fine-tuned LLMs.
CoRR
Yinjie Cheng, Paul Youssef, Christin Seifert, Jörg Schlötterer, Zhixue Zhao
2025 J jnl
This looks like what? Challenges and Future Research Directions for Part-Prototype Models.
CoRR
Khawla Elhadri, Tomasz Michalski, Adam Wróbel, Jörg Schlötterer, Bartosz Zielinski, Christin Seifert
2025 J jnl
Towards Interpretable Deep Neural Networks for Tabular Data.
CoRR
Khawla Elhadri, Jörg Schlötterer, Christin Seifert
2025 J jnl
Tracing and Reversing Rank-One Model Edits.
CoRR
Paul Youssef, Zhixue Zhao, Christin Seifert, Jörg Schlötterer
2025 J jnl
Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals.
CoRR
Qianli Wang, Van Bach Nguyen, Nils Feldhus, Luis Felipe Villa-Arenas, Christin Seifert, Sebastian Möller, Vera Schmitt
2025 J jnl
XNNTab - Interpretable Neural Networks for Tabular Data using Sparse Autoencoders.
CoRR
Khawla Elhadri, Jörg Schlötterer, Christin Seifert
2024 — conf
A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study.
ECIR (4)
Osman Alperen Koras, Jörg Schlötterer, Christin Seifert
2024 J jnl
A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study.
CoRR
Osman Alperen Koras, Jörg Schlötterer, Christin Seifert
2024 B conf
CEval: A Benchmark for Evaluating Counterfactual Text Generation.
INLG
Van Bach Nguyen, Christin Seifert, Jörg Schlötterer
2024 J jnl
CEval: A Benchmark for Evaluating Counterfactual Text Generation.
CoRR
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
2024 J jnl
Can We Reverse In-Context Knowledge Edits?
CoRR
Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert
2024 — conf
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding.
LREC/COLING
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
2024 J jnl
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding.
CoRR
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
2024 J jnl
Detecting Edited Knowledge in Language Models.
CoRR
Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert
2024 J jnl
Enhancing Fact Retrieval in PLMs through Truthfulness.
CoRR
Paul Youssef, Jörg Schlötterer, Christin Seifert
2024 — ed.
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part I
xAI (1)
Luca Longo, Sebastian Lapuschkin, Christin Seifert
2024 — ed.
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II
xAI (2)
Luca Longo, Sebastian Lapuschkin, Christin Seifert
2024 — ed.
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III
xAI (3)
Luca Longo, Sebastian Lapuschkin, Christin Seifert
2024 — ed.
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part IV
xAI (4)
Luca Longo, Sebastian Lapuschkin, Christin Seifert
2024 J jnl
Explainable Bayesian Optimization.
CoRR
Tanmay Chakraborty, Christin Seifert, Christian Wirth
2024 — conf
Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case.
xAI (4)
Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert
2024 J jnl
Feature importance to explain multimodal prediction models. A clinical use case.
CoRR
Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert
2024 — conf
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification.
ACL (1)
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2024 J jnl
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification.
CoRR
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2024 — conf
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine.
CogMI
Bahadir Eryilmaz, Osman Alperen Koras, Jörg Schlötterer, Christin Seifert
2024 J jnl
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine.
CoRR
Bahadir Eryilmaz, Osman Alperen Koras, Jörg Schlötterer, Christin Seifert
2024 — conf
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study.
EMNLP (Findings)
Van Bach Nguyen, Paul Youssef, Christin Seifert, Jörg Schlötterer
2024 J jnl
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study.
CoRR
Van Bach Nguyen, Paul Youssef, Jörg Schlötterer, Christin Seifert
2024 J jnl
Out of spuriousity: Improving robustness to spurious correlations without group annotations.
CoRR
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
2024 — conf
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, Joel Wessendorf, Meike Nauta, Vincenzo Positano, Christin Seifert
2024 J jnl
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans.
CoRR
Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, Joel Wessendorf, Meike Nauta, Vincenzo Positano, Christin Seifert
2024 — conf
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert
2024 J jnl
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification.
CoRR
Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert
2024 — conf
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.
xAI (1)
Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert
2024 J jnl
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.
CoRR
Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert
2024 — conf
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs.
EACL (Findings)
Paul Youssef, Jörg Schlötterer, Christin Seifert
2024 J jnl
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs.
CoRR
Paul Youssef, Jörg Schlötterer, Christin Seifert
2024 — conf
XAgent: A Conversational XAI Agent Harnessing the Power of Large Language Models.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
2023 A* conf
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges.
IJCAI
Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert
2023 — conf
Feature Attribution Explanations for Spiking Neural Networks.
CogMI
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
2023 J jnl
Feature Attribution Explanations for Spiking Neural Networks.
CoRR
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
2023 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
ACM Comput. Surv.
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 — conf
From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent.
xAI (3)
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
2023 — conf
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models.
EMNLP (Findings)
Paul Youssef, Osman Alperen Koras, Meijie Li, Jörg Schlötterer, Christin Seifert
2023 J jnl
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models.
CoRR
Paul Youssef, Osman Alperen Koras, Meijie Li, Jörg Schlötterer, Christin Seifert
2023 B conf
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis.
INLG
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
2023 J jnl
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis.
CoRR
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
2023 J jnl
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes.
CoRR
Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert
2023 — conf
Interpreting and Correcting Medical Image Classification with PIP-Net.
ECAI Workshops (1)
Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 J jnl
Interpreting and Correcting Medical Image Classification with PIP-Net.
CoRR
Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 J jnl
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
CoRR
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
2023 A conf
Know What Not To Know: Users' Perception of Abstaining Classifiers.
Conference on Designing Interactive Systems (Companion Volume)
Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert, Dagmar Kern
2023 J jnl
Know What Not To Know: Users' Perception of Abstaining Classifiers.
CoRR
Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert, Dagmar Kern
2023 A* conf
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification.
CVPR
Meike Nauta, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 — conf
Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients.
LWDA
Meijie Li, Wolfgang Galetzka, Bahadir Eryilmaz, Georg Christian Lodde, Elisabeth Livingstone, Jörg Schlötterer, Christin Seifert
2023 — conf
Post-hoc Rule Based Explanations for Black Box Bayesian Optimization.
ECAI Workshops (1)
Tanmay Chakraborty, Christian Wirth, Christin Seifert
2023 — conf
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing.
ClinicalNLP@ACL
Paul Youssef, Jörg Schlötterer, Christin Seifert
2023 J jnl
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education.
SIGIR Forum
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
2023 — conf
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers.
xAI (1)
Meike Nauta, Christin Seifert
2023 J jnl
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers.
CoRR
Meike Nauta, Christin Seifert
2023 J jnl
Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.
CoRR
Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert
2022 — ed.
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I
ECIR (1)
Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty
2022 — ed.
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II
ECIR (2)
Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty
2022 — conf
Evaluating Simulated User Interaction and Search Behaviour.
ECIR (2)
Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer
2022 J jnl
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent.
CoRR
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
2022 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
CoRR
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2022 A* conf
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes.
CHI
Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert
2022 J jnl
It's Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI.
ACM Trans. Comput. Hum. Interact.
Andrea Papenmeier, Dagmar Kern, Gwenn Englebienne, Christin Seifert
2022 — conf
Model Personalization with Static and Dynamic Patients' Data.
ICDM (Workshops)
Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev, Christin Seifert
2022 J jnl
Radiology report generation for proximal femur fractures using deep classification and language generation models.
Artif. Intell. Medicine
Olivier Paalvast, Meike Nauta, Marion Koelle, Jeroen Geerdink, Onno Vijlbrief, Johannes H. Hegeman, Christin Seifert
2022 — conf
Simulating User Interaction and Search Behaviour in Digital Libraries.
IRCDL
Saber Zerhoudi, Michael Granitzer, Christin Seifert, Jörg Schlötterer
2022 J jnl
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers.
CoRR
Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio
2022 A conf
The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation.
CIKM
Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, Michael Granitzer
2022 J jnl
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP).
CoRR
Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer
2021 J jnl
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records.
Future Internet
Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, Christin Seifert
2021 A* conf
Neural Prototype Trees for Interpretable Fine-Grained Image Recognition.
CVPR
Meike Nauta, Ron van Bree, Christin Seifert
2021 — conf
Query Change as a Contextual Markov Model for Simulating User Search Behaviour.
FIRE
Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert
2021 — conf
Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification.
TDS
Dou Liu, Tingting Zhu, Jörg Schlötterer, Christin Seifert, Shenghui Wang
2021 J jnl
STQS: Interpretable multi-modal
Artif. Intell. Medicine
Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel J. A. M. van Putten, Christin Seifert
2021 — conf
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition.
PKDD/ECML Workshops (1)
Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert
2021 — conf
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP).
CogMI
Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer
2020 — conf
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports.
CogMI
Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert
2020 J jnl
Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports.
CoRR
Valentine Legoy, Marco Caselli, Christin Seifert, Andreas Peter
2020 — conf
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records.
HSDM@WSDM
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
2020 J jnl
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records.
CoRR
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
2020 B conf
Effectiveness of neural language models for word prediction of textual mammography reports.
SMC
Mihai David Marin, Elena Mocanu, Christin Seifert
2020 J jnl
Fusion architectures for automatic subject indexing under concept drift.
Int. J. Digit. Libr.
Martin Toepfer, Christin Seifert
2020 — conf
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.
ICDM (Workshops)
Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen
2020 — conf
Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients.
KDH@ECAI
Meike Nauta, Michel J. A. M. van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Bos, Maurice van Keulen, Christin Seifert
2020 J jnl
Neural Prototype Trees for Interpretable Fine-grained Image Recognition.
CoRR
Meike Nauta, Ron van Bree, Christin Seifert
2020 J jnl
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen
2020 J jnl
QueryCrumbs search query history visualization - Usability, transparency and long-term usage.
J. Comput. Lang.
Jörg Schlötterer, Christin Seifert, Christopher Satchell, Michael Granitzer
2020 J jnl
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition.
CoRR
Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert
2019 — conf
Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data.
CIC
Kilian Ros, Elena Mocanu, Christin Seifert
2019 J jnl
Causal Discovery with Attention-Based Convolutional Neural Networks.
Mach. Learn. Knowl. Extr.
Meike Nauta, Doina Bucur, Christin Seifert
2019 — conf
Comparing Process Models for Patient Populations: Application in Breast Cancer Care.
Business Process Management Workshops
Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert
2019 — ed.
Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings
DEXA Workshops
Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer
2019 C conf
Evaluating CNN interpretability on sketch classification.
ICMV
Abraham Theodorus, Meike Nauta, Christin Seifert
2019 J jnl
How model accuracy and explanation fidelity influence user trust.
CoRR
Andrea Papenmeier, Gwenn Englebienne, Christin Seifert
2019 A conf
The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning.
ICDCS
Stefanie Scherzinger, Christin Seifert, Lena Wiese
2019 — conf
Towards Generating Consumer Labels for Machine Learning Models.
CogMI
Christin Seifert, Stefanie Scherzinger, Lena Wiese
2019 — conf
Visualising the Training Process of Convolutional Neural Networks for Non-Experts.
BNAIC/BENELEARN
Michelle Peters, Lindsay Kempen, Meike Nauta, Christin Seifert
2018 — conf
Analysing Author Self-citations in Computer Science Publications.
DEXA Workshops
Tobias Milz, Christin Seifert
2018 — conf
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance.
ICDM Workshops
Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen
2018 A conf
Collection-Document Summaries.
ECIR
Nils Witt, Michael Granitzer, Christin Seifert
2018 B conf
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts Under Precision and Recall Constraints.
TPDL
Martin Toepfer, Christin Seifert
2018 J jnl
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints.
CoRR
Martin Toepfer, Christin Seifert
2018 — ed.
Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018, Proceedings
DEXA Workshops
Mourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A Min Tjoa, Roland R. Wagner
2018 B conf
Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases.
DS
Nils Witt, Tobias Milz, Christin Seifert
2018 C conf
QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals.
IV
Jörg Schlötterer, Christin Seifert, Michael Granitzer
2018 B conf
Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender.
TPDL
Tobias Milz, Christin Seifert
2017 — conf
Descriptor-Invariant Fusion Architectures for Automatic Subject Indexing.
JCDL
Martin Toepfer, Christin Seifert
2017 B conf
Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data.
CHIIR
Christin Seifert, Annett Mitschick, Jörg Schlötterer, Raimund Dachselt
2017 C conf
On Joint Representation Learning of Network Structure and Document Content.
CD-MAKE
Jörg Schlötterer, Christin Seifert, Michael Granitzer
2017 C conf
QueryCrumbs: A Compact Visualization for Navigating the Search Query History.
IV
Christin Seifert, Jörg Schlötterer, Michael Granitzer
2017 B conf
Towards Semantic Quality Control of Automatic Subject Indexing.
TPDL
Martin Toepfer, Christin Seifert
2017 J jnl
Ubiquitous Access to Digital Cultural Heritage.
ACM Journal on Computing and Cultural Heritage
Christin Seifert, Werner Bailer, Thomas Orgel, Louis Gantner, Roman Kern, Hermann Ziak, Albin Petit, Jörg Schlötterer, Stefan Zwicklbauer, Michael Granitzer
2017 B conf
Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks.
TPDL
Nils Witt, Christin Seifert
2016 B conf
DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings.
ESWC
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
2016 A conf
Evaluating Memory Efficiency and Robustness of Word Embeddings.
ECIR
Johannes Jurgovsky, Michael Granitzer, Christin Seifert
2016 — conf
Explaining Topical Distances Using Word Embeddings.
DEXA Workshops
Nils Witt, Christin Seifert, Michael Granitzer
2016 A* conf
Robust and Collective Entity Disambiguation through Semantic Embeddings.
SIGIR
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
2016 B conf
Supporting Web Surfers in Finding Related Material in Digital Library Repositories.
TPDL
Jörg Schlötterer, Christin Seifert, Michael Granitzer
2015 — conf
A Game with a Purpose to Access Europe's Cultural Treasure.
GamifIR@ECIR
Jörg Schlötterer, Christin Seifert, Lisa Wagner, Michael Granitzer
2015 J jnl
EEXCESS: Personalisierter Zugriff auf Long-Tail-Inhalte - neue Methoden zur Verbreitung wissenschaftlich-kulturellen Wissens.
Inf. Wiss. Prax.
Christin Seifert, Michael Granitzer
2015 A conf
From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects.
ECIR
Jörg Schlötterer, Christin Seifert, Wolfgang Lutz, Michael Granitzer
2015 — conf
From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation.
DEXA (1)
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
2015 — ch.
Linking Biomedical Data to the Cloud.
Smart Health
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
2015 — conf
Search-based entity disambiguation with document-centric knowledge bases.
I-KNOW
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
2015 Misc conf
Towards a feature-rich data set for personalized access to long-tail content.
SAC
Christin Seifert, Jörg Schlötterer, Michael Granitzer
2015 C conf
User Interface Considerations for Browser-Based Just-in-Time-Retrieval.
IV
Christin Seifert, Jörg Schlötterer, Michael Granitzer
2014 — conf
Balloon Synopsis: A Modern Node-Centric RDF Viewer and Browser for the Web.
ESWC (Satellite Events)
Kai Schlegel, Thomas Weißgerber, Florian Stegmaier, Christin Seifert, Michael Granitzer, Harald Kosch
2014 — ch.
Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges.
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Andreas Holzinger, Johannes Schantl, Miriam Schroettner, Christin Seifert, Karin Verspoor
2014 C conf
FacetScape: A Visualization for Exploring the Search Space.
IV
Christin Seifert, Johannes Jurgovsky, Michael Granitzer
2014 — conf
Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints.
LDOW
Patrick Höfler, Michael Granitzer, Eduardo E. Veas, Christin Seifert
2014 — ch.
Visual Analysis and Knowledge Discovery for Text.
Large-Scale Data Analytics
Christin Seifert, Vedran Sabol, Wolfgang Kienreich, Elisabeth Lex, Michael Granitzer
2013 — conf
Crowdsourcing Fact Extraction from Scientific Literature.
CHI-KDD
Christin Seifert, Michael Granitzer, Patrick Höfler, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Sebastian Bayerl, Florian Stegmaier, Stefan Zwicklbauer, Roman Kern
2013 — conf
Do We Need Entity-Centric Knowledge Bases for Entity Disambiguation?
I-KNOW
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer
2013 J jnl
Text Representation for Efficient Document Annotation.
J. Univers. Comput. Sci.
Christin Seifert, Eva Ulbrich, Roman Kern, Michael Granitzer
2013 — conf
Towards Disambiguating Web Tables.
ISWC (Posters & Demos)
Stefan Zwicklbauer, Christoph Einsiedler, Michael Granitzer, Christin Seifert
2013 — conf
Trusted Facts: Triplifying Primary Research Data Enriched with Provenance Information.
ESWC (Satellite Events)
Kai Schlegel, Sebastian Bayerl, Stefan Zwicklbauer, Florian Stegmaier, Christin Seifert, Michael Granitzer, Harald Kosch
2013 — conf
Unfolding Cultural, Educational and Scientific Long-Tail Content in the Web.
UMAP Workshops
Michael Granitzer, Christin Seifert, Silvia Russegger, Klaus Tochtermann
2012 — conf
Graph Visualization Using Hierarchical Edge Routing and Bundling.
EuroVA@EuroVis
Wolfgang Kienreich, Ralph Wozelka, Vedran Sabol, Christin Seifert
2012 A conf
Seeing what the system thinks you know: visualizing evidence in an open learner model.
LAK
Barbara Kump, Christin Seifert, Günter Beham, Stefanie N. Lindstaedt, Tobias Ley
2012 — conf
Unleashing Semantics of Research Data.
WBDB
Florian Stegmaier, Christin Seifert, Roman Kern, Patrick Höfler, Sebastian Bayerl, Michael Granitzer, Harald Kosch, Stefanie N. Lindstaedt, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Stefan Zwicklbauer
2012 — conf
Visual Exploration of Feature-Class Matrices for Classification Problems.
EuroVA@EuroVis
Wolfgang Kienreich, Christin Seifert
2012 — conf
Visual Ontology Alignment System - An Evaluation.
SIGRAD
Vedran Sabol, Kow Weng Onn, Manuela Rauch, Eva Ulbrich, Christin Seifert, Michael Granitzer, Dickson Lukose
2011 — conf
Vote/Veto Meta-Classifier for Authorship Identification - Notebook for PAN at CLEF 2011.
CLEF (Notebook Papers/Labs/Workshop)
Roman Kern, Christin Seifert, Mario Zechner, Michael Granitzer
2011 B conf
Word Clouds for Efficient Document Labeling.
Discovery Science
Christin Seifert, Eva Ulbrich, Michael Granitzer
2010 J jnl
A hybrid system for German encyclopedia alignment.
Int. J. Digit. Libr.
Roman Kern, Christin Seifert, Michael Granitzer
2010 C conf
An Application of Edge Bundling Techniques to the Visualization of Media Analysis Results.
IV
Wolfgang Kienreich, Christin Seifert
2010 — conf
Classifier Hypothesis Generation Using Visual Analysis Methods.
NDT (1)
Christin Seifert, Vedran Sabol, Michael Granitzer
2010 — conf
Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations.
EuroVAST@EuroVis
Christin Seifert, Vedran Sabol, Wolfgang Kienreich
2010 — conf
User-Based Active Learning.
ICDM Workshops
Christin Seifert, Michael Granitzer
2009 C conf
A Novel Visualization Approach for Data-Mining-Related Classification.
IV
Christin Seifert, Elisabeth Lex
2009 — conf
Cross-domain classification: Trade-off between complexity and accuracy.
ICITST
Elisabeth Lex, Christin Seifert, Michael Granitzer, Andreas Juffinger
2009 J jnl
Machine Learning based Work Task Classification.
J. Digit. Inf. Manag.
Michael Granitzer, Andreas S. Rath, Mark Kröll, Christin Seifert, Doris Ipsmiller, Didier Devaurs, Nicolas Weber, Stefanie N. Lindstaedt
2008 J jnl
A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data.
J. Digit. Inf. Manag.
Elisabeth Lex, Christin Seifert, Wolfgang Kienreich, Michael Granitzer
2008 — conf
Analysis of machine learning techniques for context extraction.
ICDIM
Michael Granitzer, Mark Kröll, Christin Seifert, Andreas S. Rath, Nicolas Weber, Olivia Dietzel, Stefanie N. Lindstaedt
2008 — conf
Context Based Wikipedia Linking.
INEX
Michael Granitzer, Christin Seifert, Mario Zechner
2008 C conf
On the Beauty and Usability of Tag Clouds.
IV
Christin Seifert, Barbara Kump, Wolfgang Kienreich, Gisela Granitzer, Michael Granitzer
2007 Misc conf
Window Detection in Facades.
ICIAP
Haider Ali, Christin Seifert, Nitin Jindal, Lucas Paletta, Gerhard Paar
2006 — conf
A Mobile Vision Service for Multimedia Tourist Applications in Urban Environments.
ITSC
Lucas Paletta, Gerald Fritz, Christin Seifert, Patrick Morris Luley, Alexander Almer
2006 C conf
A Mobile Vision System for Urban Detection with Informative Local Descriptors.
ICVS
Gerald Fritz, Christin Seifert, Lucas Paletta
2005 — conf
Building Detection from Mobile Imagery Using Informative SIFT Descriptors.
SCIA
Gerald Fritz, Christin Seifert, Manish Kumar, Lucas Paletta
2005 — conf
Cascaded Sequential Attention for Object Recognition with Informative Local Descriptors and Q-learning of Grouping Strategies.
CVPR Workshops
Lucas Paletta, Gerald Fritz, Christin Seifert
2005 — conf
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning.
SCIA
Lucas Paletta, Gerald Fritz, Christin Seifert
2005 A* conf
Q-learning of sequential attention for visual object recognition from informative local descriptors.
ICML
Lucas Paletta, Gerald Fritz, Christin Seifert
2005 A* conf
Urban Object Recognition from Informative Local Features.
ICRA
Gerald Fritz, Christin Seifert, Lucas Paletta
2004 — conf
Attentive Object Detection Using an Information Theoretic Saliency Measure.
WAPCV
Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof
2004 A conf
Learning to Focus Attention on Discriminative Regions for Object Detection.
ECAI
Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof
2004 A* conf
Rapid Object Recognition from Discriminative Regions of Interest.
AAAI
Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof
2004 — conf
Visual Object Detection for Mobile Road Sign Inventory.
Mobile HCI
Christin Seifert, Lucas Paletta, Andreas Jeitler, Evelyn Hödl, Jean-Philippe Andreu, Patrick Morris Luley, Alexander Almer