Jörg Schlötterer

Orcid: 0000-0002-3678-0390

Affiliations:
  • University Hospital Essen, Institute for Artificial Intelligence in Medicine, Germany
  • University of Duisburg-Essen, Essen, Germany
  • Cancer Research Center Cologne Essen (CCCE), Essen, Germany
  • University of Passau, Germany (PhD)


According to our database1, Jörg Schlötterer authored at least 43 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.
CoRR, 2024

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

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification.
CoRR, 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

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

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

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

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

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

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

Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation.
Proceedings of the Machine Learning, Optimization, and Data Science, 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

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
Supporting the Discovery of Long-Tail Resources on the Web.
PhD thesis, 2020

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

Influence of Random Walk Parametrization on Graph Embeddings.
Proceedings of the Advances in Information Retrieval, 2020

2019
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection.
CoRR, 2019

Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings.
CoRR, 2019

Policy Learning for Malaria Control.
CoRR, 2019

Investigating Extensions to Random Walk Based Graph Embedding.
Proceedings of the 2019 IEEE International Conference on Cognitive Computing, 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

Shortest Path Distance Approximation Using Deep Learning Techniques.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
QueryCrumbs: A Compact Visualization for Navigating the Search Query History.
Proceedings of the 21st International Conference Information Visualisation, 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
Inferring semantic interest profiles from Twitter followees: does Twitter know better than your friends?
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

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

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

From context to query.
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

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


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