Multimodal Computing & Machine Intelligence

Prof. Dr. Christin Seifert

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.

Contact

Girardethaus
Girardetstr. 2
House 2, 2nd floor
45131 Essen

Prof. Dr. Christin Seifert
Office

Projects

Recent Publications - see all...

  1. 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}
    }
    
  2. 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. 2022. [doi]
    BibTeX
    @article{Lu2022_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 = {2022},
      pages = {1-1},
      doi = {10.1109/TNSRE.2022.3227040}
    }
    
  3. 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)}
    }
    
  4. 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}
    }
    
  5. 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}}}
    }
    

Team

Photo of Christin Seifert

Prof. Dr. Christin Seifert

christin.seifert@uni-due.de, christin.seifert@uk-essen.de
Phone: +4920172377803
Interests: Machine Learning, Natural Language Processing, Explainable AI, and Medical Data Science

Head of Junior Research Group

Photo of Jörg Schlötterer

Dr. Jörg Schlötterer

joerg.schloetterer@uni-due.de, joerg.schloetterer@uk-essen.de
Interests: Multimodal & Representation Learning, Knowledge Extraction, Natural Language Processing, and Information Retrieval
Junior Research Group Knowledge Extraction & Integration

Administration

Photo of Andrea Tonk

Andrea Tonk

andrea.tonk@uk-essen.de
Phone: +4920172377825

Tech

Photo of Ryan Aydelott

Ryan Aydelott, Experimental/HPC Systems Specialist

ryan.aydelott@uk-essen.de

Research Assistants

Photo of Meike Nauta

M.Sc. Meike Nauta, Ph.D. Candidate

meike.nauta@uk-essen.de
Interests: Explainable AI and interpretable machine learning

Photo of Shreyasi Pathak

M.Sc. Shreyasi Pathak, Ph.D. Candidate

shreyasi.pathak@uk-essen.de
Interests: Explainable AI, Multimodal Deep Learning, and Clinical Decision Making (breast cancer diagnosis)

Photo of Jan Trienes

M.Sc. Jan Trienes, Ph.D. Candidate

jan.trienes@uni-due.de, jan.trienes@uk-essen.de
Interests: Natural Language Processing and Information Retrieval

Photo of Paul Youssef

M.Sc. Paul Youssef, Ph.D. Candidate

paul.youssef@uni-due.de, paul.youssef@uk-essen.de
Interests: Clinical Decision Making and Natural Language Processing

Photo of Osman Koras

M.Sc. Osman Koras, Ph.D. Candidate

osman.koras@uni-due.de, osmanalperen.koras@uk-essen.de
Interests: Natural Language Processing, Faithfulness in Natural Language Generation, Representation of Text Semantics and Machine Learning

Photo of Phuong Quynh Le

M.Sc. Phuong Quynh Le, Ph.D. Candidate

phuongquynh.le@uni-due.de, phuongquynh.le@uk-essen.de
Interests: Explainable AI, Machine Learning

Photo of Meijie Li

M.Sc. Meijie Li, Ph.D. Candidate

meijie.li@uni-due.de, meijie.li@uk-essen.de

Photo of Van Bach Nguyen

M.Sc. Van Bach Nguyen, Ph.D. Candidate

vanbach.nguyen@uni-due.de, vanbach.nguyen@uk-essen.de
Interests: Natural Language Processing, Explainable AI, and Conversational Agents
Junior Research Group Knowledge Extraction & Integration

Student Assistants

Celina Bandowski

celina.bandowski@uk-essen.de

Theresa Bernsmann

theresa.bernsmann@uk-essen.de

Monika Coers

monika.coers@uk-essen.de

Bahadir Eryilmaz

bahadir.eryilmaz@uk-essen.de

Hannah Louisa Göke

hannahlouisa.goeke@uk-essen.de

Lisa Meißner

lisa.meissner@uk-essen.de

Justin Roschlak

justinjoel.roschlak@uk-essen.de