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2023

Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, and Christin Seifert. From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Comput. Surv.. 2023. Association for Computing Machinery. [doi] [url]

BibTeX

@article{Nauta2023_csur_evaluating-xai-survey,
  author = {Nauta, Meike and Trienes, Jan and Pathak, Shreyasi and Nguyen, Elisa and Peters, Michelle and Schmitt, Yasmin and Schl\"{o}tterer, J\"{o}rg and van Keulen, Maurice and Seifert, Christin},
  journal = {ACM Comput. Surv.},
  title = {From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI},
  year = {2023},
  issn = {0360-0300},
  month = feb,
  address = {New York, NY, USA},
  doi = {10.1145/3583558},
  keywords = {explainability, explainable AI, explainable artificial intelligence, XAI, interpretable machine learning, interpretability, quantitative evaluation methods, evaluation},
  publisher = {Association for Computing Machinery},
  url = {https://doi.org/10.1145/3583558}
}

Max Tigo Rietberg, Van Bach Nguyen, Jeroen Geerdink, Onno Vijlbrief, and Christin Seifert. Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models. Diagnostics. 2023. [doi] [url]

BibTeX

@article{Rietberg2023_mdpi_classifying-ms-patient-reports,
  author = {Rietberg, Max Tigo and Nguyen, Van Bach and Geerdink, Jeroen and Vijlbrief, Onno and Seifert, Christin},
  journal = {Diagnostics},
  title = {Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models},
  year = {2023},
  issn = {2075-4418},
  number = {7},
  volume = {13},
  article-number = {1251},
  doi = {10.3390/diagnostics13071251},
  url = {https://www.mdpi.com/2075-4418/13/7/1251}
}

Katarzyna Borys, Yasmin Alyssa Schmitt, Meike Nauta, Christin Seifert, Nicole Krämer, Christoph M. Friedrich, and Felix Nensa. Explainable AI in Medical Imaging: An overview for clinical practitioners – Saliency-based XAI approaches. European Journal of Radiology. 2023. [doi] [url]

BibTeX

@article{Borys2023_ejr_xai-in-medical-saliency,
  author = {Borys, Katarzyna and {Alyssa Schmitt}, Yasmin and Nauta, Meike and Seifert, Christin and Krämer, Nicole and Friedrich, Christoph M. and Nensa, Felix},
  journal = {European Journal of Radiology},
  title = {Explainable AI in Medical Imaging: An overview for clinical practitioners – Saliency-based XAI approaches},
  year = {2023},
  issn = {0720-048X},
  pages = {110787},
  doi = {https://doi.org/10.1016/j.ejrad.2023.110787},
  keywords = {Explainable AI, Medical Imaging, Radiology, Black-Box, Explainability, Interpretability},
  url = {https://www.sciencedirect.com/science/article/pii/S0720048X23001018}
}

Katarzyna Borys, Yasmin Alyssa Schmitt, Meike Nauta, Christin Seifert, Nicole Krämer, Christoph M. Friedrich, and Felix Nensa. Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches. European Journal of Radiology. 2023. [doi] [url]

BibTeX

@article{Borys2023_ejr_xai-in-medical-beyond-saliency,
  author = {Borys, Katarzyna and Schmitt, Yasmin Alyssa and Nauta, Meike and Seifert, Christin and Krämer, Nicole and Friedrich, Christoph M. and Nensa, Felix},
  journal = {European Journal of Radiology},
  title = {Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches},
  year = {2023},
  issn = {0720-048X},
  pages = {110786},
  volume = {162},
  doi = {https://doi.org/10.1016/j.ejrad.2023.110786},
  keywords = {Explainable AI, Medical imaging, Radiology, Black-Box, Explainability, Interpretability},
  url = {https://www.sciencedirect.com/science/article/pii/S0720048X23001006}
}

Changqing Lu, Shreyasi Pathak, Gwenn Englebienne, and Christin Seifert. Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need?. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2023. [doi]

BibTeX

@article{Lu2023_tsnre_channel-contribution-sleep-scoring,
  author = {Lu, Changqing and Pathak, Shreyasi and Englebienne, Gwenn and Seifert, Christin},
  journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  title = {Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need?},
  year = {2023},
  pages = {494-505},
  doi = {10.1109/TNSRE.2022.3227040}
}

2022

Sultan Imangaliyev, Jörg Schlötterer, Folker Meyer, and Christin Seifert. Diagnosis of Inflammatory Bowel Disease and Colorectal Cancer through Multi-View Stacked Generalization Applied on Gut Microbiome Data. Diagnostics. 2022. [doi]

BibTeX

@article{imangaliyevDiagnosisInflammatoryBowel2022,
  title = {Diagnosis of {{Inflammatory Bowel Disease}} and {{Colorectal Cancer}} through {{Multi-View Stacked Generalization Applied}} on {{Gut Microbiome Data}}},
  author = {Imangaliyev, Sultan and Schl{\"o}tterer, J{\"o}rg and Meyer, Folker and Seifert, Christin},
  year = {2022},
  month = oct,
  journal = {Diagnostics},
  volume = {12},
  number = {10},
  pages = {2514},
  issn = {2075-4418},
  doi = {10.3390/diagnostics12102514},
  langid = {english}
}

Stefan Haller, Adina Aldea, Christin Seifert, and Nicola Strisciuglio. Survey on Automated Short Answer Grading with Deep Learning: From Word Embeddings to Transformers. 2022. arXiv. [doi]

BibTeX

@misc{Haller2022_preprints_short-answare-grading-survey,
  title = {Survey on Automated Short Answer Grading with Deep Learning: From Word Embeddings to Transformers},
  author = {Haller, Stefan and Aldea, Adina and Seifert, Christin and Strisciuglio, Nicola},
  year = {2022},
  publisher = {{arXiv}},
  doi = {10.48550/ARXIV.2204.03503},
  copyright = {Creative Commons Attribution 4.0 International},
  keywords = {Artificial Intelligence (cs.AI),Computation and Language (cs.CL),FOS: Computer and information sciences,Machine Learning (cs.LG)}
}

Meike Nauta, Ricky Walsh, Adam Dubowski, and Christin Seifert. Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis. Diagnostics. 2022. [doi]

BibTeX

@article{nautaUncoveringCorrectingShortcut2022,
  title = {Uncovering and {{Correcting Shortcut Learning}} in {{Machine Learning Models}} for {{Skin Cancer Diagnosis}}},
  author = {Nauta, Meike and Walsh, Ricky and Dubowski, Adam and Seifert, Christin},
  year = {2022},
  journal = {Diagnostics},
  volume = {12},
  number = {1},
  issn = {2075-4418},
  doi = {10.3390/diagnostics12010040}
}

Van Bach Nguyen, Jan Trienes, Meike Nauta, Shreyasi Pathak, Paul Youssef, Sultan Imangaliyev, Jörg Schlötterer, and Christin Seifert. PPLM Revisited: Steering and Beaming a Lumbering Mammoth to Control Text Generation. ICLR Blog Track. 2022. [url]

BibTeX

@inproceedings{Nguyen2022_iclr-blog_pplmrevisiteds-mammoth,
  title = {{{PPLM}} Revisited: {{Steering}} and Beaming a Lumbering Mammoth to Control Text Generation},
  booktitle = {{{ICLR}} Blog Track},
  author = {Nguyen, Van Bach and Trienes, Jan and Nauta, Meike and Pathak, Shreyasi and Youssef, Paul and Imangaliyev, Sultan and Schl{\"o}tterer, J{\"o}rg and Seifert, Christin},
  url = {https://iclr-blog-track.github.io/2022/03/25/PPLM/},
  year = {2022}
}

Van Bach Nguyen, Jörg Schlötterer, and Christin Seifert. Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent. 2022. arXiv. [doi]

BibTeX

@misc{Nguyen2022_preprints_conversational-xai,
  title = {Explaining Machine Learning Models in Natural Conversations: {{Towards}} a Conversational {{XAI}} Agent},
  author = {Nguyen, Van Bach and Schl{\"o}tterer, J{\"o}rg and Seifert, Christin},
  year = {2022},
  publisher = {{arXiv}},
  doi = {10.48550/ARXIV.2209.02552},
  copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International},
  keywords = {Artificial Intelligence (cs.AI),Computation and Language (cs.CL),FOS: Computer and information sciences}
}

Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, and Christin Seifert. How Accurate Does It Feel? – Human Perception of Different Types of Classification Mistakes. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 2022. Association for Computing Machinery. [doi]

BibTeX

@inproceedings{papenmeierHowAccurateDoes2022,
  title = {How {{Accurate Does It Feel}}? \textendash{} {{Human Perception}} of {{Different Types}} of {{Classification Mistakes}}},
  booktitle = {Proceedings of the 2022 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}},
  author = {Papenmeier, Andrea and Kern, Dagmar and Hienert, Daniel and Kammerer, Yvonne and Seifert, Christin},
  year = {2022},
  series = {{{CHI}} '22},
  publisher = {{Association for Computing Machinery}},
  address = {{New York, NY, USA}},
  doi = {10.1145/3491102.3501915}
}

Andrea Papenmeier, Dagmar Kern, Gwenn Englebienne, and Christin Seifert. It’s Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI. ACM Trans. Comput.-Hum. Interact.. 2022. Association for Computing Machinery. [doi]

BibTeX

@article{papenmeierItComplicatedRelationship2022,
  title = {It's {{Complicated}}: {{The Relationship}} between {{User Trust}}, {{Model Accuracy}} and {{Explanations}} in {{AI}}},
  author = {Papenmeier, Andrea and Kern, Dagmar and Englebienne, Gwenn and Seifert, Christin},
  year = {2022},
  journal = {ACM Trans. Comput.-Hum. Interact.},
  publisher = {{Association for Computing Machinery}},
  address = {{New York, NY, USA}},
  doi = {10.1145/3495013}
}

Jan Trienes, Jörg Schlötterer, Hans-Ulrich Schildhaus, and Christin Seifert. Patient-Friendly Clinical Notes: Towards a New Text Simplification Dataset. Proc. EMNLP Workshop on Text Simplification, Accessibility, and Readability (TSAR). 2022.

BibTeX

@inproceedings{Trienes2022_tsar_patient-friendly-clinical-notes,
  title = {Patient-Friendly Clinical Notes: {{Towards}} a New Text Simplification Dataset},
  booktitle = {Proc. {{EMNLP}} Workshop on Text Simplification, Accessibility, and Readability ({{TSAR}})},
  author = {Trienes, Jan and Schl{\"o}tterer, J{\"o}rg and Schildhaus, Hans-Ulrich and Seifert, Christin},
  year = {2022}
}

Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev, and Christin Seifert. Model Personalization with Static and Dynamic Patients’ Data. Proc. ICDM Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH). 2022.

BibTeX

@inproceedings{Youssef2022_dmbih_model-personalizaton-patient-data,
  title = {Model Personalization with Static and Dynamic Patients' Data},
  booktitle = {Proc. {{ICDM}} Workshop on Data Mining in Biomedical Informatics and Healthcare ({{DMBIH}})},
  author = {Youssef, Paul and Schl{\"o}tterer, J{\"o}rg and Imangaliyev, Sultan and Seifert, Christin},
  year = {2022}
}

Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, and Michael Granitzer. The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. 31st ACM International Conference on Information and Knowledge Management (CIKM 2022). 2022. ACM.

BibTeX

@inproceedings{Zerhoudi2022_cikm_simiir20-framework,
  title = {The {{SimIIR}} 2.0 Framework: {{User}} Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation},
  booktitle = {31st {{ACM}} International Conference on Information and Knowledge Management ({{CIKM}} 2022)},
  author = {Zerhoudi, Saber and G{\"u}nther, Sebastian and Plassmeier, Kim and Borst, Timo and Seifert, Christin and Hagen, Matthias and Granitzer, Michael},
  year = {2022},
  publisher = {{ACM}},
  site = {Atlanta, Georgia, USA}
}

Saber Zerhoudi, Michael Granitzer, Christin Seifert, and Jörg Schlötterer. Evaluating Simulated User Interaction and Search Behaviour. Advances in Information Retrieval. 2022. Springer International Publishing. [doi]

BibTeX

@inproceedings{zerhoudiEvaluatingSimulatedUser2022,
  title = {Evaluating {{Simulated User Interaction}} and {{Search Behaviour}}},
  booktitle = {Advances in {{Information Retrieval}}},
  author = {Zerhoudi, Saber and Granitzer, Michael and Seifert, Christin and Schl{\"o}tterer, J{\"o}rg},
  year = {2022},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {DOI: 10.1007/978-3-030-99739-7_28}
}

Saber Zerhoudi, Michael Granitzer, Christin Seifert, and Jörg Schlötterer. Simulating User Interaction and Search Behaviour in Digital Libraries. Proc. Italian Research Conference on Digital Libraries. 2022.

BibTeX

@inproceedings{zerhoudiSimulatingUserInteraction2022,
  title = {Simulating {{User Interaction}} and {{Search Behaviour}} in {{Digital Libraries}}},
  booktitle = {Proc. {{Italian Research Conference}} on {{Digital Libraries}}},
  author = {Zerhoudi, Saber and Granitzer, Michael and Seifert, Christin and Schl{\"o}tterer, J{\"o}rg},
  year = {2022},
  series = {{{IRCDL}}}
}

BibTeX

@misc{nauta2022,
  title = {From Anecdotal Evidence to Quantitative Evaluation Methods: {{A}} Systematic Review on Evaluating Explainable {{AI}}},
  author = {Nauta, Meike and Trienes, Jan and Pathak, Shreyasi and Nguyen, Elisa and Peters, Michelle and Schmitt, Yasmin and Schl{\"o}tterer, J{\"o}rg and {van Keulen}, Maurice and Seifert, Christin},
  year = {2022},
  publisher = {{arXiv}},
  doi = {10.48550/ARXIV.2201.08164},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

2021

Bram C. S. de Vries, Johannes H. Hegeman, Wieke Nijmeijer, Jeroen Geerdink, Christin Seifert, and Karin G. M. Groothuis-Oudshoorn. Comparing Three Machine Learning Approaches to Design a Risk Assessment Tool for Future Fractures: Predicting a Subsequent Major Osteoporotic Fracture in Fracture Patients with Osteopenia and Osteoporosis. Osteoporosis International. 2021. [doi]

BibTeX

@article{vriesComparingThreeMachine2021,
  title = {Comparing Three Machine Learning Approaches to Design a Risk Assessment Tool for Future Fractures: Predicting a Subsequent Major Osteoporotic Fracture in Fracture Patients with Osteopenia and Osteoporosis},
  author = {de Vries, Bram C. S. and Hegeman, Johannes H. and Nijmeijer, Wieke and Geerdink, Jeroen and Seifert, Christin and {Groothuis-Oudshoorn}, Karin G. M.},
  year = {2021},
  month = jan,
  journal = {Osteoporosis International},
  issn = {1433-2965},
  doi = {10.1007/s00198-020-05735-z}
}

Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, and Christin Seifert. Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. Future Internet. 2021. [doi]

BibTeX

@article{libbiGeneratingSyntheticTraining2021,
  title = {Generating {{Synthetic Training Data}} for {{Supervised De-Identification}} of {{Electronic Health Records}}},
  author = {Libbi, Claudia Alessandra and Trienes, Jan and Trieschnigg, Dolf and Seifert, Christin},
  year = {2021},
  journal = {Future Internet},
  volume = {13},
  number = {5},
  issn = {1999-5903},
  doi = {10.3390/fi13050136}
}

Dou Liu, Tingting Zhu, Jörg Schlötterer, Christin Seifert, and Shenghui Wang. Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. Text, Speech, and Dialogue. 2021. Springer International Publishing. [doi]

BibTeX

@incollection{liuRewritingFictionalTexts2021,
  title = {Rewriting {{Fictional Texts Using Pivot Paraphrase Generation}} and {{Character Modification}}},
  booktitle = {Text, {{Speech}}, and {{Dialogue}}},
  author = {Liu, Dou and Zhu, Tingting and Schl{\"o}tterer, J{\"o}rg and Seifert, Christin and Wang, Shenghui},
  year = {2021},
  pages = {73--85},
  publisher = {{Springer International Publishing}},
  doi = {10.1007/978-3-030-83527-9_6}
}

Meike Nauta, Ron van Bree, and Christin Seifert. Intrinsically Interpretable Image Recognition with Neural Prototype Trees. Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision: CVPR 2021 Workshop. 2021.

BibTeX

@inproceedings{nautaIntrinsicallyInterpretableImage2021,
  title = {Intrinsically {{Interpretable Image Recognition}} with {{Neural Prototype Trees}}},
  booktitle = {Beyond {{Fairness}}: {{Towards}} a {{Just}}, {{Equitable}}, and {{Accountable Computer Vision}}: {{CVPR}} 2021 {{Workshop}}},
  author = {Nauta, Meike and van Bree, Ron and Seifert, Christin},
  year = {2021}
}

Meike Nauta, Ron van Bree, and Christin Seifert. Neural Prototype Trees for Interpretable Fine-grained Image Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

BibTeX

@inproceedings{nautaNeuralPrototypeTrees2021,
  title = {Neural {{Prototype Trees}} for {{Interpretable Fine-grained Image Recognition}}},
  booktitle = {{{IEEE}}/{{CVF Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
  author = {Nauta, Meike and van Bree, Ron and Seifert, Christin},
  year = {2021},
  pages = {14933--14943}
}

Meike Nauta, Annemarie Jutte, Jesper Provoost, and Christin Seifert. This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. Proc. ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD). 2021.

BibTeX

@inproceedings{nautaThisLooksThat2021,
  title = {This {{Looks Like That}}, {{Because}} ... {{Explaining Prototypes}} for {{Interpretable Image Recognition}}},
  booktitle = {Proc. {{ECML PKDD International Workshop}} on {{eXplainable Knowledge Discovery}} in {{Data Mining}} ({{XKDD}})},
  author = {Nauta, Meike and Jutte, Annemarie and Provoost, Jesper and Seifert, Christin},
  year = {2021}
}

Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel van Putten, and Christin Seifert. STQS: Interpretable Multi-Modal Spatial-Temporal-seQuential Model for Automatic Sleep Scoring. Artificial Intelligence in Medicine. 2021. [doi]

BibTeX

@article{pathakSTQSInterpretableMultimodal2021,
  title = {{{STQS}}: {{Interpretable}} Multi-Modal {{Spatial-Temporal-seQuential}} Model for Automatic {{Sleep}} Scoring},
  author = {Pathak, Shreyasi and Lu, Changqing and Nagaraj, Sunil Belur and van Putten, Michel and Seifert, Christin},
  year = {2021},
  journal = {Artificial Intelligence in Medicine},
  volume = {114},
  pages = {102038},
  issn = {0933-3657},
  doi = {10.1016/j.artmed.2021.102038},
  keywords = {Deep learning,EEG,EMG signals,EOG,Explainable AI,Post-hoc interpretability,Sleep scoring,Sleep stage annotation},
  file = {/Users/andrea/Zotero/storage/ILEJPEMP/Pathak et al. - 2021 - STQS Interpretable multi-modal Spatial-Temporal-s.pdf}
}

Hendrik Schmidt, Jörg Schlötterer, Marcell Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, and Folker Meyer. Towards a Trustworthy, Secure and Reliable Enclave for Machine Learning in a Hospital Setting: The Essen Medical Computing Platform (EMCP). Proc. International Conference on Cognitive Machine Intelligence. 2021. IEEE.

BibTeX

@inproceedings{schmidtTrustworthySecureReliable2021,
  title = {Towards a Trustworthy, Secure and Reliable Enclave for Machine Learning in a Hospital Setting: The {{Essen Medical Computing Platform}} ({{EMCP}})},
  booktitle = {Proc. {{International Conference}} on {{Cognitive Machine Intelligence}}},
  author = {Schmidt, Hendrik and Schl{\"o}tterer, J{\"o}rg and Bargull, Marcell and Nasca, Enrico and Aydelott, Ryan and Seifert, Christin and Meyer, Folker},
  year = {2021},
  publisher = {{IEEE}}
}

Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, and Christin Seifert. Query Change as a Contextual Markov Model for Simulating User Search Behaviour. Proceedings of the 12th Forum for Information Retrieval Evaluation. 2021. Association for Computing Machinery. [doi]

BibTeX

@inproceedings{zerhoudiQueryChangeContextual2021,
  title = {Query {{Change}} as a {{Contextual Markov Model}} for {{Simulating User Search Behaviour}}},
  booktitle = {Proceedings of the 12th {{Forum}} for {{Information Retrieval Evaluation}}},
  author = {Zerhoudi, Saber and Granitzer, Michael and Schl{\"o}tterer, J{\"o}rg and Seifert, Christin},
  year = {2021},
  series = {{{FIRE}} '21},
  publisher = {{Association for Computing Machinery}},
  doi = {10.1145/3503162.3503165}
}

Sahib Julka, Vishal Sowrirajan, Jörg Schlötterer, and Michael Granitzer. Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. Machine Learning, Optimization, and Data Science. 2021. Springer International Publishing. [doi]

BibTeX

@inproceedings{Julka2022,
  title = {Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation},
  booktitle = {Machine Learning, Optimization, and Data Science},
  author = {Julka, Sahib and Sowrirajan, Vishal and Schl{\"o}tterer, J{\"o}rg and Granitzer, Michael},
  editor = {Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Jansen, Giorgio and Pardalos, Panos M. and Giuffrida, Giovanni and Umeton, Renato},
  year = {2021},
  pages = {436--450},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-95470-3_33},
  isbn = {978-3-030-95470-3}
}

Hendrik F.R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, and Folker Meyer. Towards a Trustworthy, Secure and Reliable Enclave for Machine Learning in a Hospital Setting: The Essen Medical Computing Platform (EMCP). 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI). 2021. [doi]

BibTeX

@inproceedings{Schmidt2021,
  title = {Towards a Trustworthy, Secure and Reliable Enclave for Machine Learning in a Hospital Setting: {{The Essen Medical Computing Platform}} ({{EMCP}})},
  booktitle = {2021 {{IEEE}} Third International Conference on Cognitive Machine Intelligence ({{CogMI}})},
  author = {Schmidt, Hendrik F.R. and Schl{\"o}tterer, J{\"o}rg and Bargull, Marcel and Nasca, Enrico and Aydelott, Ryan and Seifert, Christin and Meyer, Folker},
  year = {2021},
  pages = {116--123},
  doi = {10.1109/CogMI52975.2021.00023}
}

2020

Maurice van Keulen, Christin Seifert, Mannes Poel, and Karin Groothuis-Oudshoorn. Scalable Interdisciplinary Data Science Teaching at the University of Twente. Berlin Journal of Data Science. 2020.

BibTeX

@article{keulenScalableInterdisciplinaryData2020,
  title = {Scalable {{Interdisciplinary Data Science Teaching}} at the {{University}} of {{Twente}}},
  author = {van Keulen, Maurice and Seifert, Christin and Poel, Mannes and {Groothuis-Oudshoorn}, Karin},
  year = {2020},
  month = dec,
  journal = {Berlin Journal of Data Science},
  volume = {1},
  issn = {978-3-00-064614-0},
  langid = {english}
}

Valentine Legoy, Marco Caselli, Andreas Peter, and Christin Seifert. rcATT: Retrieving ATT&CK Tactics and Techniques in Cyber Threat Reports. FIRST Cyber Threat Intelligence Symposium. 2020.

BibTeX

@inproceedings{legoyRcATTRetrievingATT2020,
  title = {{{rcATT}}: Retrieving {{ATT}}\&{{CK}} Tactics and Techniques in Cyber Threat Reports},
  booktitle = {{{FIRST Cyber Threat Intelligence Symposium}}},
  author = {Legoy, Valentine and Caselli, Marco and Peter, Andreas and Seifert, Christin},
  year = {2020},
  month = mar,
  address = {{Zurich}}
}

Francesca Marazza, Faiza Allah Bukhsh, Jeroen Geerdink, Onno Vijlbrief, Shreyasi Pathak, Maurice van Keulen, and Christin Seifert. Automatic Process Comparison for Subpopulations: Application in Cancer Care. Int. J. Environ. Res. Public Health. 2020. [doi]

BibTeX

@article{marazzaAutomaticProcessComparison2020,
  title = {Automatic {{Process Comparison}} for {{Subpopulations}}: {{Application}} in {{Cancer Care}}},
  author = {Marazza, Francesca and Bukhsh, Faiza Allah and Geerdink, Jeroen and Vijlbrief, Onno and Pathak, Shreyasi and van Keulen, Maurice and Seifert, Christin},
  year = {2020},
  journal = {Int. J. Environ. Res. Public Health},
  volume = {17},
  number = {16},
  doi = {10.3390/ijerph1716570}
}

Mihai David Marin, Elena Mocanu, and Christin Seifert. Effectiveness of Neural Language Models for Word Prediction of Textual Mammography Reports. Proc. IEEE International Conference on Systems, Man, and Cybernetics. 2020.

BibTeX

@inproceedings{marinEffectivenessNeuralLanguage2020,
  title = {Effectiveness of Neural Language Models for Word Prediction of Textual Mammography Reports},
  booktitle = {Proc. {{IEEE International Conference}} on {{Systems}}, {{Man}}, and {{Cybernetics}}},
  author = {Marin, Mihai David and Mocanu, Elena and Seifert, Christin},
  year = {2020},
  series = {{{IEEE SMC}}}
}

Meike Nauta, Michel J. A. M. van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Peter Bos, Maurice van Keulen, and Christin Seifert. Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. International Workshop on Knowledge Discovery in Healthcare Data. 2020.

BibTeX

@inproceedings{nautaInteractiveExplanationsInternal2020,
  title = {Interactive {{Explanations}} of {{Internal Representations}} of {{Neural Network Layers}}: {{An Exploratory Study}} on {{Outcome Prediction}} of {{Comatose Patients}}},
  booktitle = {International {{Workshop}} on {{Knowledge Discovery}} in {{Healthcare Data}}},
  author = {Nauta, Meike and van Putten, Michel J. A. M. and {Tjepkema-Cloostermans}, Marleen C. and Bos, Jeroen Peter and van Keulen, Maurice and Seifert, Christin},
  year = {2020},
  series = {{{KDH}}},
  volume = {2675}
}

Elisa Nguyen, Daphne Theodorakopoulos, Shreyasik Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, and Christin Seifert. A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. Proceedings International Conference on Cognitive Machine Intelligence. 2020. IEEE.

BibTeX

@inproceedings{nguyenHybridTextClassification2020,
  title = {A {{Hybrid Text Classification}} and {{Language Generation Model}} for {{Automated Summarization}} of {{Dutch Breast Cancer Radiology Reports}}},
  booktitle = {Proceedings {{International Conference}} on {{Cognitive Machine Intelligence}}},
  author = {Nguyen, Elisa and Theodorakopoulos, Daphne and Pathak, Shreyasik and Geerdink, Jeroen and Vijlbrief, Onno and van Keulen, Maurice and Seifert, Christin},
  year = {2020},
  series = {{{CogMI}}},
  publisher = {{IEEE}}
}

Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, and Maurice van Keulen. Human-in-the-Loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. Proc. International Conference on Data Mining Workshops. 2020. IEEE.

BibTeX

@inproceedings{ruisHumanintheloopLanguageagnosticExtraction2020,
  title = {Human-in-the-Loop {{Language-agnostic Extraction}} of {{Medication Data}} from {{Highly Unstructured Electronic Health Records}}},
  booktitle = {Proc. {{International Conference}} on {{Data Mining Workshops}}},
  author = {Ruis, Frank and Pathak, Shreyasi and Geerdink, Jeroen and Hegeman, Johannes H. and Seifert, Christin and van Keulen, Maurice},
  year = {2020},
  publisher = {{IEEE}}
}

Jörg Schlötterer, Christin Seifert, and Michael Granitzer. QueryCrumbs Search History Visualization - Usability, Transparency and Long-term Usage. Journal of Computer Languages. 2020. [doi]

BibTeX

@article{schlottererQueryCrumbsSearchHistory2020,
  title = {{{QueryCrumbs Search History Visualization}} - {{Usability}}, {{Transparency}} and {{Long-term Usage}}},
  author = {Schl{\"o}tterer, J{\"o}rg and Seifert, Christin and Granitzer, Michael},
  year = {2020},
  journal = {Journal of Computer Languages},
  volume = {57},
  issn = {2590-1184},
  doi = {10.1016/j.cola.2020.100941}
}

Jan Trienes, Dolf Trieschnigg, Christin Seifert, and Djoerd Hiemstra. Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. Proc. Health Search and Data Mining Workshop. 2020.

BibTeX

@inproceedings{trienesComparingRulebasedFeaturebased2020,
  title = {Comparing {{Rule-based}}, {{Feature-based}} and {{Deep Neural Methods}} for {{De-identification}} of {{Dutch Medical Records}}},
  booktitle = {Proc. {{Health Search}} and {{Data Mining Workshop}}},
  author = {Trienes, Jan and Trieschnigg, Dolf and Seifert, Christin and Hiemstra, Djoerd},
  year = {2020},
  series = {{{HSDM}}}
}

Fabian Schliski, Jörg Schlötterer, and Michael Granitzer. Influence of Random Walk Parametrization on Graph Embeddings. Advances in Information Retrieval. 2020. Springer International Publishing.

BibTeX

@inproceedings{schliski2020ecir,
  title = {Influence of Random Walk Parametrization on Graph Embeddings},
  booktitle = {Advances in Information Retrieval},
  author = {Schliski, Fabian and Schl{\"o}tterer, J{\"o}rg and Granitzer, Michael},
  editor = {Jose, Joemon M. and Yilmaz, Emine and Magalh{\~a}es, Jo{\~a}o and Castells, Pablo and Ferro, Nicola and Silva, M{\'a}rio J. and Martins, Fl{\'a}vio},
  year = {2020},
  series = {{{ECIR}} 2020},
  pages = {58--65},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  isbn = {978-3-030-45442-5}
}

Jörg Schlötterer, Christin Seifert, Christopher Satchell, and Michael Granitzer. QueryCrumbs Search Query History Visualization – Usability, Transparency and Long-Term Usage. Journal of Computer Languages. 2020. [doi]

BibTeX

@article{schloetterer2020cola,
  title = {{{QueryCrumbs}} Search Query History Visualization \textendash{} {{Usability}}, Transparency and Long-Term Usage},
  author = {Schl{\"o}tterer, J{\"o}rg and Seifert, Christin and Satchell, Christopher and Granitzer, Michael},
  year = {2020},
  journal = {Journal of Computer Languages},
  volume = {57},
  pages = {100941},
  issn = {2590-1184},
  doi = {10.1016/j.cola.2020.100941},
  keywords = {Information refinding,Information retrieval,Queryhistory visualization,Search experts,Search history}
}

Jörg Schlötterer. Supporting the Discovery of Long-Tail Resources on the Web. University of Passau. 2020.

BibTeX

@phdthesis{schlotterer2020supporting,
  title = {Supporting the Discovery of Long-Tail Resources on the Web},
  author = {Schl{\"o}tterer, J{\"o}rg},
  year = {2020},
  eprint = {urn:nbn:de:bvb:739-opus4-8539},
  eprinttype = {urn},
  school = {University of Passau},
  keywords = {peer-other}
}