The MCMI research group headed by Prof. Dr. Christin Seifert focuses on the transfer of fundamental research in machine learning, information extraction, natural language processing and semantic technologies to applications in the medical domain, and to oncology in particular.
We address questions relevant, but not limited to understanding and transforming clinical documents, sensor data processing, predictive modelling, medical decision support, explaining decisions of complex machine learning models, and devising interpretable, yet accurate models to foster stakeholder acceptance and trust.
The MCMI research group is part of the Cancer Research Center Cologne Essen (CCCE), the Initiative Network of Excellence in Cancer Medicine NRW.
Girardethaus Girardetstr. 2 House 2, 2nd floor 45131 Essen
Prof. Dr. Christin Seifert Office
@misc{Haller2022_preprints_short-answare-grading-survey, author = {Haller, Stefan and Aldea, Adina and Seifert, Christin and Strisciuglio, Nicola}, title = {Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers}, year = {2022}, copyright = {Creative Commons Attribution 4.0 International}, doi = {10.48550/ARXIV.2204.03503}, keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Computer and information sciences}, publisher = {arXiv}, url = {https://arxiv.org/abs/2204.03503} }
@misc{Nguyen2022_preprints_conversational-xai, author = {Nguyen, Van Bach and Schlötterer, Jörg and Seifert, Christin}, title = {Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent}, year = {2022}, copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International}, doi = {10.48550/ARXIV.2209.02552}, keywords = {Artificial Intelligence (cs.AI), Computation and Language (cs.CL), FOS: Computer and information sciences}, publisher = {arXiv}, url = {https://arxiv.org/abs/2209.02552} }
@misc{Nauta2022_preprints_evaluating-xai, author = {Nauta, Meike and Trienes, Jan and Pathak, Shreyasi and Nguyen, Elisa and Peters, Michelle and Schmitt, Yasmin and Schlötterer, Jörg and van Keulen, Maurice and Seifert, Christin}, title = {From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI}, year = {2022}, copyright = {arXiv.org perpetual, non-exclusive license}, doi = {10.48550/ARXIV.2201.08164}, keywords = {Artificial Intelligence (cs.AI), FOS: Computer and information sciences}, publisher = {arXiv}, url = {https://arxiv.org/abs/2201.08164} }
@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} }
@inproceedings{Nguyben2022_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}, year = {2022}, url = {https://iclr-blog-track.github.io/2022/03/25/PPLM/} }
christin.seifert@uni-due.de Phone: +4920172377803 Interests: Machine Learning, Natural Language Processing, Explainable AI, and Medical Data Science
joerg.schloetterer@uni-due.de Interests: Multimodal & Representation Learning, Knowledge Extraction, Natural Language Processing, and Information Retrieval Junior Research Group Knowledge Extraction & Integration
andrea.tonk@uk-essen.de Phone: +4920172377825
ryan.aydelott@uk-essen.de
sultan.imangaliyev@uni-due.de Interests: deep learning on tabular data, explainable AI, biomarker selection, human microbiome, bioinformatics, systems biology, and computational biology
meike.nauta@uk-essen.de Interests: Explainable AI and interpretable machine learning
shreyasi.pathak@uk-essen.de Interests: Explainable AI, Multimodal Deep Learning, and Clinical Decision Making (breast cancer diagnosis)
jan.trienes@uni-due.de Interests: Natural Language Processing and Information Retrieval
paul.youssef@uni-due.de Interests: Clinical Decision Making and Natural Language Processing
osman.koras@uni-due.de Interests: Natural Language Processing, Faithfulness in Natural Language Generation, Representation of Text Semantics and Machine Learning
phuongquynh.le@uni-due.de Interests: Explainable AI, Machine Learning
meijie.li@uni-due.de
vanbach.nguyen@uni-due.de Interests: Natural Language Processing, Explainable AI, and Conversational Agents Junior Research Group Knowledge Extraction & Integration
