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Jörg Schlötterer
Person information
- affiliation: University Hospital Essen, Institute for Artificial Intelligence in Medicine, Germany
- affiliation: University of Duisburg-Essen, Essen, Germany
- affiliation: Cancer Research Center Cologne Essen (CCCE), Essen, Germany
- affiliation (PhD): University of Passau, Germany
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2020 – today
- 2024
- [c39]Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. ACL (1) 2024: 4263-4294 - [c38]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING 2024: 3654-3665 - [c37]Paul Youssef, Jörg Schlötterer, Christin Seifert:
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs. EACL (Findings) 2024: 2342-2354 - [c36]Osman Alperen Koras, Jörg Schlötterer, Christin Seifert:
A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study. ECIR (4) 2024: 99-114 - [c35]Van Bach Nguyen, Paul Youssef, Christin Seifert, Jörg Schlötterer:
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. EMNLP (Findings) 2024: 14809-14824 - [c34]Van Bach Nguyen, Christin Seifert, Jörg Schlötterer:
CEval: A Benchmark for Evaluating Counterfactual Text Generation. INLG 2024: 55-69 - [c33]Olufunke Oluyemi Sarumi, Béla Neuendorf, Joan Plepi, Lucie Flek, Jörg Schlötterer, Charles Welch:
Corpus Considerations for Annotator Modeling and Scaling. NAACL-HLT 2024: 1029-1040 - [c32]Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert:
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. xAI (1) 2024: 21-42 - [c31]Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert:
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 73-80 - [c30]Van Bach Nguyen, Jörg Schlötterer, Christin Seifert:
XAgent: A Conversational XAI Agent Harnessing the Power of Large Language Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 273-280 - [i27]Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. CoRR abs/2401.16475 (2024) - [i26]Paul Youssef, Jörg Schlötterer, Christin Seifert:
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs. CoRR abs/2402.01453 (2024) - [i25]Osman Alperen Koras, Jörg Schlötterer, Christin Seifert:
A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study. CoRR abs/2403.02930 (2024) - [i24]Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, Joel Wessendorf, Meike Nauta, Vincenzo Positano, Christin Seifert:
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans. CoRR abs/2403.18328 (2024) - [i23]Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert:
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. CoRR abs/2403.20260 (2024) - [i22]Olufunke Oluyemi Sarumi, Béla Neuendorf, Joan Plepi, Lucie Flek, Jörg Schlötterer, Charles Welch:
Corpus Considerations for Annotator Modeling and Scaling. CoRR abs/2404.02340 (2024) - [i21]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR abs/2404.05694 (2024) - [i20]Van Bach Nguyen, Jörg Schlötterer, Christin Seifert:
CEval: A Benchmark for Evaluating Counterfactual Text Generation. CoRR abs/2404.17475 (2024) - [i19]Van Bach Nguyen, Paul Youssef, Jörg Schlötterer, Christin Seifert:
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. CoRR abs/2405.00722 (2024) - [i18]Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert:
Detecting Edited Knowledge in Language Models. CoRR abs/2405.02765 (2024) - [i17]Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert:
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification. CoRR abs/2407.14277 (2024) - [i16]Phuong Quynh Le, Jörg Schlötterer, Christin Seifert:
Out of spuriousity: Improving robustness to spurious correlations without group annotations. CoRR abs/2407.14974 (2024) - [i15]Bahadir Eryilmaz, Osman Alperen Koras, Jörg Schlötterer, Christin Seifert:
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine. CoRR abs/2410.02806 (2024) - 2023
- [j2]Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Comput. Surv. 55(13s): 295:1-295:42 (2023) - [c29]Paul Youssef, Jörg Schlötterer, Christin Seifert:
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing. ClinicalNLP@ACL 2023: 19-23 - [c28]Meike Nauta, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. CVPR 2023: 2744-2753 - [c27]Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
Interpreting and Correcting Medical Image Classification with PIP-Net. ECAI Workshops (1) 2023: 198-215 - [c26]Paul Youssef, Osman Alperen Koras, Meijie Li, Jörg Schlötterer, Christin Seifert:
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models. EMNLP (Findings) 2023: 15588-15605 - [c25]Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert:
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. IJCAI 2023: 6665-6673 - [c24]Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert:
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. INLG 2023: 176-195 - [c23]Meijie Li, Wolfgang Galetzka, Bahadir Eryilmaz, Georg Christian Lodde, Elisabeth Livingstone, Jörg Schlötterer, Christin Seifert:
Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients. LWDA 2023: 153-160 - [c22]Van Bach Nguyen, Jörg Schlötterer, Christin Seifert:
From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent. xAI (3) 2023: 71-96 - [i14]Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
Interpreting and Correcting Medical Image Classification with PIP-Net. CoRR abs/2307.10404 (2023) - [i13]Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert:
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. CoRR abs/2307.12803 (2023) - [i12]Phuong Quynh Le, Jörg Schlötterer, Christin Seifert:
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? CoRR abs/2308.00473 (2023) - [i11]Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert:
Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. CoRR abs/2310.12677 (2023) - [i10]Paul Youssef, Osman Alperen Koras, Meijie Li, Jörg Schlötterer, Christin Seifert:
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models. CoRR abs/2310.16570 (2023) - 2022
- [c21]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer:
Evaluating Simulated User Interaction and Search Behaviour. ECIR (2) 2022: 240-247 - [c20]Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev, Christin Seifert:
Model Personalization with Static and Dynamic Patients' Data. ICDM (Workshops) 2022: 324-333 - [c19]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Jörg Schlötterer:
Simulating User Interaction and Search Behaviour in Digital Libraries. IRCDL 2022 - [i9]Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer:
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). CoRR abs/2201.04816 (2022) - [i8]Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. CoRR abs/2201.08164 (2022) - [i7]Van Bach Nguyen, Jörg Schlötterer, Christin Seifert:
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent. CoRR abs/2209.02552 (2022) - 2021
- [c18]Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer:
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). CogMI 2021: 116-123 - [c17]Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert:
Query Change as a Contextual Markov Model for Simulating User Search Behaviour. FIRE 2021: 43-51 - [c16]Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. LOD 2021: 436-450 - [c15]Dou Liu, Tingting Zhu, Jörg Schlötterer, Christin Seifert, Shenghui Wang:
Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. TDS 2021: 73-85 - [i6]Sahib Julka, Vishal Sowrirajan, Jörg Schlötterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. CoRR abs/2103.11471 (2021) - 2020
- [b1]Jörg Schlötterer:
Supporting the Discovery of Long-Tail Resources on the Web. University of Passau, Germany, 2020 - [j1]Jörg Schlötterer, Christin Seifert, Christopher Satchell, Michael Granitzer:
QueryCrumbs search query history visualization - Usability, transparency and long-term usage. J. Comput. Lang. 57: 100941 (2020) - [c14]Fabian Schliski, Jörg Schlötterer, Michael Granitzer:
Influence of Random Walk Parametrization on Graph Embeddings. ECIR (2) 2020: 58-65 - [i5]Fatemeh Salehi Rizi, Jörg Schlötterer, Michael Granitzer:
Shortest path distance approximation using deep learning techniques. CoRR abs/2002.05257 (2020) - [i4]Jörg Schlötterer, Martin Wehking, Fatemeh Salehi Rizi, Michael Granitzer:
Investigating Extensions to Random Walk Based Graph Embedding. CoRR abs/2002.07252 (2020)
2010 – 2019
- 2019
- [c13]Jörg Schlötterer, Martin Wehking, Fatemeh Salehi Rizi, Michael Granitzer:
Investigating Extensions to Random Walk Based Graph Embedding. ICCC 2019: 81-89 - [i3]Van Bach Nguyen, Belaid Mohamed Karim, Bao Long Vu, Jörg Schlötterer, Michael Granitzer:
Policy Learning for Malaria Control. CoRR abs/1910.08926 (2019) - [i2]Christian Reiser, Jörg Schlötterer, Michael Granitzer:
Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings. CoRR abs/1912.04022 (2019) - [i1]Amirhossein Ansari, Masoud Dadgar, Ali Hamzeh, Jörg Schlötterer, Michael Granitzer:
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection. CoRR abs/1912.12283 (2019) - 2018
- [c12]Fatemeh Salehi Rizi, Jörg Schlötterer, Michael Granitzer:
Shortest Path Distance Approximation Using Deep Learning Techniques. ASONAM 2018: 1007-1014 - [c11]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals. IV 2018: 78-84 - 2017
- [c10]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
On Joint Representation Learning of Network Structure and Document Content. CD-MAKE 2017: 237-251 - [c9]Christin Seifert, Annett Mitschick, Jörg Schlötterer, Raimund Dachselt:
Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data. CHIIR 2017: 301-304 - [c8]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
QueryCrumbs: A Compact Visualization for Navigating the Search Query History. IV 2017: 35-44 - 2016
- [c7]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
Supporting Web Surfers in Finding Related Material in Digital Library Repositories. TPDL 2016: 434-437 - [c6]Christoph Besel, Jörg Schlötterer, Michael Granitzer:
Inferring semantic interest profiles from Twitter followees: does Twitter know better than your friends? SAC 2016: 1152-1157 - 2015
- [c5]Jörg Schlötterer, Christin Seifert, Lisa Wagner, Michael Granitzer:
A Game with a Purpose to Access Europe's Cultural Treasure. GamifIR@ECIR 2015: 13-18 - [c4]Jörg Schlötterer, Christin Seifert, Wolfgang Lutz, Michael Granitzer:
From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects. ECIR 2015: 805-808 - [c3]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
User Interface Considerations for Browser-Based Just-in-Time-Retrieval. IV 2015: 460-467 - [c2]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
Towards a feature-rich data set for personalized access to long-tail content. SAC 2015: 1031-1038 - [c1]Jörg Schlötterer:
From context to query. SAC 2015: 1108-1109
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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