Christin Seifert

Orcid: 0000-0002-6776-3868

Affiliations:
  • University of Passau, Faculty of Computer Science and Mathematics, Germany
  • Graz University of Technology, Institute of Knowledge Management, Austria
  • Know-Center GmbH, Graz, Austria


According to our database1, Christin Seifert authored at least 135 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhancing Fact Retrieval in PLMs through Truthfulness.
CoRR, 2024

Can We Reverse In-Context Knowledge Edits?
CoRR, 2024

Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine.
CoRR, 2024

Out of spuriousity: Improving robustness to spurious correlations without group annotations.
CoRR, 2024

Detecting Edited Knowledge in Language Models.
CoRR, 2024

PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans.
CoRR, 2024

Explainable Bayesian Optimization.
CoRR, 2024

Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.
Proceedings of the Explainable Artificial Intelligence, 2024

XAgent: A Conversational XAI Agent Harnessing the Power of Large Language Models.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case.
Proceedings of the Explainable Artificial Intelligence, 2024

CEval: A Benchmark for Evaluating Counterfactual Text Generation.
Proceedings of the 17th International Natural Language Generation Conference, 2024

LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study.
Proceedings of the Advances in Information Retrieval, 2024

The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education.
SIGIR Forum, June, 2023

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
ACM Comput. Surv., 2023

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.
CoRR, 2023

Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
CoRR, 2023

From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent.
Proceedings of the Explainable Artificial Intelligence, 2023

The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers.
Proceedings of the Explainable Artificial Intelligence, 2023

Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients.
Proceedings of the Lernen, 2023

Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis.
Proceedings of the 16th International Natural Language Generation Conference, 2023

Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Interpreting and Correcting Medical Image Classification with PIP-Net.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Post-hoc Rule Based Explanations for Black Box Bayesian Optimization.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Feature Attribution Explanations for Spiking Neural Networks.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Know What Not To Know: Users' Perception of Abstaining Classifiers.
Proceedings of the Companion Publication of the 2023 ACM Designing Interactive Systems Conference, 2023

2022
It's Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI.
ACM Trans. Comput. Hum. Interact., 2022

Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent.
CoRR, 2022

Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers.
CoRR, 2022

Radiology report generation for proximal femur fractures using deep classification and language generation models.
Artif. Intell. Medicine, 2022

Simulating User Interaction and Search Behaviour in Digital Libraries.
Proceedings of the 18th Italian Research Conference on Digital Libraries, 2022

Model Personalization with Static and Dynamic Patients' Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Evaluating Simulated User Interaction and Search Behaviour.
Proceedings of the Advances in Information Retrieval, 2022

The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records.
Future Internet, 2021

STQS: Interpretable multi-modal <i>S</i>patial-<i>T</i>emporal-se<i>Q</i>uential model for automatic <i>S</i>leep scoring.
Artif. Intell. Medicine, 2021

Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification.
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Query Change as a Contextual Markov Model for Simulating User Search Behaviour.
Proceedings of the FIRE 2021: Forum for Information Retrieval Evaluation, Virtual Event, India, December 13, 2021

Neural Prototype Trees for Interpretable Fine-Grained Image Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP).
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020
QueryCrumbs search query history visualization - Usability, transparency and long-term usage.
J. Comput. Lang., 2020

Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Fusion architectures for automatic subject indexing under concept drift.
Int. J. Digit. Libr., 2020

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports.
CoRR, 2020

Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records.
Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, 2020

Effectiveness of neural language models for word prediction of textual mammography reports.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Causal Discovery with Attention-Based Convolutional Neural Networks.
Mach. Learn. Knowl. Extr., 2019

How model accuracy and explanation fidelity influence user trust.
CoRR, 2019

Evaluating CNN interpretability on sketch classification.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data.
Proceedings of the 5th IEEE International Conference on Collaboration and Internet Computing, 2019

Towards Generating Consumer Labels for Machine Learning Models.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

Comparing Process Models for Patient Populations: Application in Breast Cancer Care.
Proceedings of the Business Process Management Workshops, 2019

Visualising the Training Process of Convolutional Neural Networks for Non-Experts.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals.
Proceedings of the 22nd International Conference Information Visualisation, 2018

Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts Under Precision and Recall Constraints.
Proceedings of the Digital Libraries for Open Knowledge, 2018

Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender.
Proceedings of the Digital Libraries for Open Knowledge, 2018

Collection-Document Summaries.
Proceedings of the Advances in Information Retrieval, 2018

Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases.
Proceedings of the Discovery Science - 21st International Conference, 2018

Analysing Author Self-citations in Computer Science Publications.
Proceedings of the Database and Expert Systems Applications, 2018

2017
Ubiquitous Access to Digital Cultural Heritage.
ACM Journal on Computing and Cultural Heritage, January, 2017

Descriptor-Invariant Fusion Architectures for Automatic Subject Indexing.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

QueryCrumbs: A Compact Visualization for Navigating the Search Query History.
Proceedings of the 21st International Conference Information Visualisation, 2017

Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Towards Semantic Quality Control of Automatic Subject Indexing.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data.
Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017

On Joint Representation Learning of Network Structure and Document Content.
Proceedings of the Machine Learning and Knowledge Extraction, 2017

2016
Robust and Collective Entity Disambiguation through Semantic Embeddings.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings.
Proceedings of the Semantic Web. Latest Advances and New Domains, 2016

Supporting Web Surfers in Finding Related Material in Digital Library Repositories.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2016

Evaluating Memory Efficiency and Robustness of Word Embeddings.
Proceedings of the Advances in Information Retrieval, 2016

Explaining Topical Distances Using Word Embeddings.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

2015
Linking Biomedical Data to the Cloud.
Proceedings of the Smart Health - Open Problems and Future Challenges, 2015

EEXCESS: Personalisierter Zugriff auf Long-Tail-Inhalte - neue Methoden zur Verbreitung wissenschaftlich-kulturellen Wissens.
Inf. Wiss. Prax., 2015

Towards a feature-rich data set for personalized access to long-tail content.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

User Interface Considerations for Browser-Based Just-in-Time-Retrieval.
Proceedings of the 19th International Conference on Information Visualisation, 2015

Search-based entity disambiguation with document-centric knowledge bases.
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

A Game with a Purpose to Access Europe's Cultural Treasure.
Proceedings of the Second International Workshop on Gamification for Information Retrieval co-located with the 37th European Conference on Information Retrieval (ECIR 2015), 2015

From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects.
Proceedings of the Advances in Information Retrieval, 2015

From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation.
Proceedings of the Database and Expert Systems Applications, 2015

2014
Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges.
Proceedings of the Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014

Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints.
Proceedings of the Workshop on Linked Data on the Web co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

FacetScape: A Visualization for Exploring the Search Space.
Proceedings of the 18th International Conference on Information Visualisation, 2014

Balloon Synopsis: A Modern Node-Centric RDF Viewer and Browser for the Web.
Proceedings of the Semantic Web: ESWC 2014 Satellite Events, 2014

Visual Analysis and Knowledge Discovery for Text.
Proceedings of the Large-Scale Data Analytics, 2014

2013
Text Representation for Efficient Document Annotation.
J. Univers. Comput. Sci., 2013

Unfolding Cultural, Educational and Scientific Long-Tail Content in the Web.
Proceedings of the Late-Breaking Results, 2013

Crowdsourcing Fact Extraction from Scientific Literature.
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013

Towards Disambiguating Web Tables.
Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

Do We Need Entity-Centric Knowledge Bases for Entity Disambiguation?
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies, 2013

Trusted Facts: Triplifying Primary Research Data Enriched with Provenance Information.
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013

2012

Graph Visualization Using Hierarchical Edge Routing and Bundling.
Proceedings of the 3rd International EuroVis Workshop on Visual Analytics, 2012

Visual Exploration of Feature-Class Matrices for Classification Problems.
Proceedings of the 3rd International EuroVis Workshop on Visual Analytics, 2012

Visual Ontology Alignment System - An Evaluation.
Proceedings of SIGRAD 2012, 2012

Seeing what the system thinks you know: visualizing evidence in an open learner model.
Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

2011
Word Clouds for Efficient Document Labeling.
Proceedings of the Discovery Science - 14th International Conference, 2011

Vote/Veto Meta-Classifier for Authorship Identification - Notebook for PAN at CLEF 2011.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

2010
A hybrid system for German encyclopedia alignment.
Int. J. Digit. Libr., 2010

Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations.
Proceedings of the 1st International Symposium on Visual Analytics Science and Technology, 2010

Classifier Hypothesis Generation Using Visual Analysis Methods.
Proceedings of the Networked Digital Technologies - Second International Conference, 2010

An Application of Edge Bundling Techniques to the Visualization of Media Analysis Results.
Proceedings of the 14th International Conference on Information Visualisation, 2010

User-Based Active Learning.
Proceedings of the ICDMW 2010, 2010

2009
Machine Learning based Work Task Classification.
J. Digit. Inf. Manag., 2009

A Novel Visualization Approach for Data-Mining-Related Classification.
Proceedings of the 13th International Conference on Information Visualisation, 2009

Cross-domain classification: Trade-off between complexity and accuracy.
Proceedings of the 4th International Conference for Internet Technology and Secured Transactions, 2009

2008
A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data.
J. Digit. Inf. Manag., 2008

On the Beauty and Usability of Tag Clouds.
Proceedings of the 12th International Conference on Information Visualisation, 2008

Context Based Wikipedia Linking.
Proceedings of the Advances in Focused Retrieval, 2008

Analysis of machine learning techniques for context extraction.
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008

2007
Window Detection in Facades.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

2006
A Mobile Vision Service for Multimedia Tourist Applications in Urban Environments.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006

A Mobile Vision System for Urban Detection with Informative Local Descriptors.
Proceedings of the 2006 IEEE International Conference on Computer Vision Systems, 2006

2005
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Building Detection from Mobile Imagery Using Informative SIFT Descriptors.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Urban Object Recognition from Informative Local Features.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Q-learning of sequential attention for visual object recognition from informative local descriptors.
Proceedings of the Machine Learning, 2005

Cascaded Sequential Attention for Object Recognition with Informative Local Descriptors and Q-learning of Grouping Strategies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004
Attentive Object Detection Using an Information Theoretic Saliency Measure.
Proceedings of the Attention and Performance in Computational Vision, 2004

Visual Object Detection for Mobile Road Sign Inventory.
Proceedings of the Mobile Human-Computer Interaction, 2004

Learning to Focus Attention on Discriminative Regions for Object Detection.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Rapid Object Recognition from Discriminative Regions of Interest.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004


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