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Schlotterer, Jorg
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1

A Second Look on BASS – Boosting Abstractive Summarization ..:

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,
Koraş, Osman Alperen ; Schlötterer, Jörg ; Seifert, Christin - p. 99-114 , 2024
Link: https://doi.org/10.1007/..
 
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2

Interpreting and Correcting Medical Image Classification wi..:

, In: Communications in Computer and Information Science; Artificial Intelligence. ECAI 2023 International Workshops,
Nauta, Meike ; Hegeman, Johannes H. ; Geerdink, Jeroen... - p. 198-215 , 2024
Link: https://doi.org/10.1007/..
 
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3

Prototype-Based Interpretable Breast Cancer Prediction Mode..:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,
Pathak, Shreyasi ; Schlötterer, Jörg ; Veltman, Jeroen... - p. 21-42 , 2024
Link: https://doi.org/10.1007/..
 
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4

From Anecdotal Evidence to Quantitative Evaluation Methods:..:

Nauta, Meike ; Trienes, Jan ; Pathak, Shreyasi...
ACM Computing Surveys.  55 (2023)  13s - p. 1-42 , 2023
Link: https://doi.org/10.1145/..
 
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5

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Nauta, Meike ; Schlotterer, Jorg ; van Keulen, Maurice. - p. 2744-2753 , 2023
Link: https://doi.org/10.1109/..
 
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6

From Black Boxes to Conversations: Incorporating XAI in a C..:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,
Nguyen, Van Bach ; Schlötterer, Jörg ; Seifert, Christin - p. 71-96 , 2023
Link: https://doi.org/10.1007/..
 
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7

Diagnosis of Inflammatory Bowel Disease and Colorectal Canc..:

Imangaliyev, Sultan ; Schlötterer, Jörg ; Meyer, Folker.
Diagnostics.  12 (2022)  10 - p. 2514 , 2022
Link: https://doi.org/10.3390/..
 
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8

Model Personalization with Static and Dynamic Patients' Dat:

, In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW),
Youssef, Paul ; Schlotterer, Jorg ; Imangaliyev, Sultan. - p. 324-333 , 2022
Link: https://doi.org/10.1109/..
 
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9

Query Change as a Contextual Markov Model for Simulating Us..:

, In: Forum for Information Retrieval Evaluation,
Zerhoudi, Saber ; Granitzer, Michael ; Schlötterer, Jörg. - p. 43-51 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Towards a trustworthy, secure and reliable enclave for mach..:

, In: 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI),
Schmidt, Hendrik F.R. ; Schlotterer, Jorg ; Bargull, Marcel... - p. 116-123 , 2021
Link: https://doi.org/10.1109/..
 
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11

Rewriting Fictional Texts Using Pivot Paraphrase Generation..:

, In: Text, Speech, and Dialogue; Lecture Notes in Computer Science,
Liu, Dou ; Zhu, Tingting ; Schlötterer, Jörg.. - p. 73-85 , 2021
Link: https://doi.org/10.1007/..
 
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12

Supporting the Discovery of Long-Tail Resources on the Web:

Schlötterer, Jörg , 2020
Link: https://nbn-resolving.de..
 
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13

Influence of Random Walk Parametrization on Graph Embedding:

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,
Schliski, Fabian ; Schlötterer, Jörg ; Granitzer, Michael - p. 58-65 , 2020
Link: https://doi.org/10.1007/..
 
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14

QueryCrumbs search query history visualization – Usability,..:

Schlötterer, Jörg ; Seifert, Christin ; Satchell, Christopher.
Journal of Computer Languages.  57 (2020)  - p. 100941 , 2020
Link: https://doi.org/10.1016/..
 
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15

Investigating Extensions to Random Walk Based Graph Embeddi..:

, In: 2019 IEEE International Conference on Cognitive Computing (ICCC),
Schlotterer, Jorg ; Wehking, Martin ; Salehi Rizi, Fatemeh. - p. 81-89 , 2019
Link: https://doi.org/10.1109/..
 
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