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ORCIDChristin Seifert
Person information
- affiliation: University of Passau, Faculty of Computer Science and Mathematics, Germany
- affiliation: Graz University of Technology, Institute of Knowledge Management, Austria
- affiliation: Know-Center GmbH, Graz, Austria
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2020 – today
- 2024
[c103]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- [c102]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 - [c101]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 - [c100]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 - [c99]Van Bach Nguyen, Paul Youssef, Christin Seifert, Jörg Schlötterer:
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. EMNLP (Findings) 2024: 14809-14824 - [c98]Van Bach Nguyen, Christin Seifert, Jörg Schlötterer:
CEval: A Benchmark for Evaluating Counterfactual Text Generation. INLG 2024: 55-69 - [c97]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 - [c96]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 - [c95]Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert:
Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case. xAI (4) 2024: 84-101 - [c94]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 - [e8]Luca Longo, Sebastian Lapuschkin, Christin Seifert:
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part I. Communications in Computer and Information Science 2153, Springer 2024, ISBN 978-3-031-63786-5 [contents] - [e7]Luca Longo, Sebastian Lapuschkin, Christin Seifert:
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II. Communications in Computer and Information Science 2154, Springer 2024, ISBN 978-3-031-63796-4 [contents] - [e6]Luca Longo, Sebastian Lapuschkin, Christin Seifert:
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III. Communications in Computer and Information Science 2155, Springer 2024, ISBN 978-3-031-63799-5 [contents] - [e5]Luca Longo, Sebastian Lapuschkin, Christin Seifert:
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part IV. Communications in Computer and Information Science 2156, Springer 2024, ISBN 978-3-031-63802-2 [contents] - [i35]Tanmay Chakraborty, Christin Seifert, Christian Wirth:
Explainable Bayesian Optimization. CoRR abs/2401.13334 (2024) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]Van Bach Nguyen, Jörg Schlötterer, Christin Seifert:
CEval: A Benchmark for Evaluating Counterfactual Text Generation. CoRR abs/2404.17475 (2024) - [i27]Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert:
Feature importance to explain multimodal prediction models. A clinical use case. CoRR abs/2404.18631 (2024) - [i26]Van Bach Nguyen, Paul Youssef, Jörg Schlötterer, Christin Seifert:
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. CoRR abs/2405.00722 (2024) - [i25]Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert:
Detecting Edited Knowledge in Language Models. CoRR abs/2405.02765 (2024) - [i24]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) - [i23]Phuong Quynh Le, Jörg Schlötterer, Christin Seifert:
Out of spuriousity: Improving robustness to spurious correlations without group annotations. CoRR abs/2407.14974 (2024) - [i22]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) - [i21]Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert:
Can We Reverse In-Context Knowledge Edits? CoRR abs/2410.12586 (2024) - [i20]Paul Youssef, Jörg Schlötterer, Christin Seifert:
Enhancing Fact Retrieval in PLMs through Truthfulness. CoRR abs/2410.13562 (2024) - 2023
- [j16]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) - [j15]Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel:
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57(1): 7:1-7:28 (2023) - [c93]Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert, Dagmar Kern:
Know What Not To Know: Users' Perception of Abstaining Classifiers. Conference on Designing Interactive Systems (Companion Volume) 2023: 169-172 - [c92]Paul Youssef, Jörg Schlötterer, Christin Seifert:
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing. ClinicalNLP@ACL 2023: 19-23 - [c91]Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert:
Feature Attribution Explanations for Spiking Neural Networks. CogMI 2023: 59-68 - [c90]Meike Nauta, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. CVPR 2023: 2744-2753 - [c89]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 - [c88]Tanmay Chakraborty, Christian Wirth, Christin Seifert:
Post-hoc Rule Based Explanations for Black Box Bayesian Optimization. ECAI Workshops (1) 2023: 320-337 - [c87]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 - [c86]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 - [c85]Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert:
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. INLG 2023: 176-195 - [c84]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 - [c83]Van Bach Nguyen, Jörg Schlötterer, Christin Seifert:
From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent. xAI (3) 2023: 71-96 - [c82]Meike Nauta, Christin Seifert:
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. xAI (1) 2023: 397-420 - [i19]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert:
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. CoRR abs/2302.06413 (2023) - [i18]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) - [i17]Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert:
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. CoRR abs/2307.12803 (2023) - [i16]Meike Nauta, Christin Seifert:
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. CoRR abs/2307.14517 (2023) - [i15]Phuong Quynh Le, Jörg Schlötterer, Christin Seifert:
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? CoRR abs/2308.00473 (2023) - [i14]Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert, Dagmar Kern:
Know What Not To Know: Users' Perception of Abstaining Classifiers. CoRR abs/2309.05443 (2023) - [i13]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) - [i12]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) - [i11]Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert:
Feature Attribution Explanations for Spiking Neural Networks. CoRR abs/2311.02110 (2023) - 2022
- [j14]Olivier Paalvast, Meike Nauta, Marion Koelle, Jeroen Geerdink, Onno Vijlbrief, Johannes H. Hegeman, Christin Seifert:
Radiology report generation for proximal femur fractures using deep classification and language generation models. Artif. Intell. Medicine 128: 102281 (2022) - [j13]Andrea Papenmeier, Dagmar Kern, Gwenn Englebienne, Christin Seifert:
It's Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI. ACM Trans. Comput. Hum. Interact. 29(4): 35:1-35:33 (2022) - [c81]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert:
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. CHI 2022: 180:1-180:13 - [c80]Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, Michael Granitzer:
The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. CIKM 2022: 4661-4666 - [c79]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer:
Evaluating Simulated User Interaction and Search Behaviour. ECIR (2) 2022: 240-247 - [c78]Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev, Christin Seifert:
Model Personalization with Static and Dynamic Patients' Data. ICDM (Workshops) 2022: 324-333 - [c77]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Jörg Schlötterer:
Simulating User Interaction and Search Behaviour in Digital Libraries. IRCDL 2022 - [e4]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13185, Springer 2022, ISBN 978-3-030-99735-9 [contents] - [e3]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13186, Springer 2022, ISBN 978-3-030-99738-0 [contents] - [i10]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) - [i9]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) - [i8]Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio:
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers. CoRR abs/2204.03503 (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
- [j12]Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel J. A. M. van Putten, Christin Seifert:
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring. Artif. Intell. Medicine 114: 102038 (2021) - [j11]Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, Christin Seifert:
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. Future Internet 13(5): 136 (2021) - [c76]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 - [c75]Meike Nauta, Ron van Bree, Christin Seifert:
Neural Prototype Trees for Interpretable Fine-Grained Image Recognition. CVPR 2021: 14933-14943 - [c74]Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert:
Query Change as a Contextual Markov Model for Simulating User Search Behaviour. FIRE 2021: 43-51 - [c73]Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert:
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. PKDD/ECML Workshops (1) 2021: 441-456 - [c72]Dou Liu, Tingting Zhu, Jörg Schlötterer, Christin Seifert, Shenghui Wang:
Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. TDS 2021: 73-85 - 2020
- [j10]Martin Toepfer, Christin Seifert:
Fusion architectures for automatic subject indexing under concept drift. Int. J. Digit. Libr. 21(2): 169-189 (2020) - [j9]Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen:
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1883-1894 (2020) - [j8]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) - [c71]Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert:
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. CogMI 2020: 72-81 - [c70]Meike Nauta, Michel J. A. M. van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Bos, Maurice van Keulen, Christin Seifert:
Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. KDH@ECAI 2020: 5-11 - [c69]Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen:
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. ICDM (Workshops) 2020: 644-650 - [c68]Mihai David Marin, Elena Mocanu, Christin Seifert:
Effectiveness of neural language models for word prediction of textual mammography reports. SMC 2020: 1596-1603 - [c67]Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. HSDM@WSDM 2020: 3-11 - [i6]Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. CoRR abs/2001.05714 (2020) - [i5]Valentine Legoy, Marco Caselli, Christin Seifert, Andreas Peter:
Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports. CoRR abs/2004.14322 (2020) - [i4]Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert:
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. CoRR abs/2011.02863 (2020) - [i3]Meike Nauta, Ron van Bree, Christin Seifert:
Neural Prototype Trees for Interpretable Fine-grained Image Recognition. CoRR abs/2012.02046 (2020)
2010 – 2019
- 2019
- [j7]Meike Nauta, Doina Bucur, Christin Seifert:
Causal Discovery with Attention-Based Convolutional Neural Networks. Mach. Learn. Knowl. Extr. 1(1): 312-340 (2019) - [c66]Michelle Peters, Lindsay Kempen, Meike Nauta, Christin Seifert:
Visualising the Training Process of Convolutional Neural Networks for Non-Experts. BNAIC/BENELEARN 2019 - [c65]Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert:
Comparing Process Models for Patient Populations: Application in Breast Cancer Care. Business Process Management Workshops 2019: 496-507 - [c64]Christin Seifert, Stefanie Scherzinger, Lena Wiese:
Towards Generating Consumer Labels for Machine Learning Models. CogMI 2019: 173-179 - [c63]Kilian Ros, Elena Mocanu, Christin Seifert:
Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data. CIC 2019: 1-10 - [c62]Stefanie Scherzinger, Christin Seifert, Lena Wiese:
The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. ICDCS 2019: 1620-1629 - [c61]Abraham Theodorus, Meike Nauta, Christin Seifert:
Evaluating CNN interpretability on sketch classification. ICMV 2019: 114331Q - [e2]Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martínez Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer:
Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings. Communications in Computer and Information Science 1062, Springer 2019, ISBN 978-3-030-27683-6 [contents] - [i2]Andrea Papenmeier, Gwenn Englebienne, Christin Seifert:
How model accuracy and explanation fidelity influence user trust. CoRR abs/1907.12652 (2019) - 2018
- [c60]Tobias Milz, Christin Seifert:
Analysing Author Self-citations in Computer Science Publications. DEXA Workshops 2018: 289-300 - [c59]Nils Witt, Tobias Milz, Christin Seifert:
Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases. DS 2018: 373-385 - [c58]Nils Witt, Michael Granitzer, Christin Seifert:
Collection-Document Summaries. ECIR 2018: 638-643 - [c57]Martin Toepfer, Christin Seifert:
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts Under Precision and Recall Constraints. TPDL 2018: 3-15 - [c56]Tobias Milz, Christin Seifert:
Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender. TPDL 2018: 321-325 - [c55]Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen:
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance. ICDM Workshops 2018: 732-739 - [c54]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 - [e1]Mourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A Min Tjoa, Roland R. Wagner:
Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018, Proceedings. Communications in Computer and Information Science 903, Springer 2018, ISBN 978-3-319-99132-0 [contents] - [i1]Martin Toepfer, Christin Seifert:
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints. CoRR abs/1806.02743 (2018) - 2017
- [j6]Christin Seifert, Werner Bailer, Thomas Orgel, Louis Gantner, Roman Kern, Hermann Ziak, Albin Petit, Jörg Schlötterer, Stefan Zwicklbauer, Michael Granitzer:
Ubiquitous Access to Digital Cultural Heritage. ACM Journal on Computing and Cultural Heritage 10(1): 1-27 (2017) - [c53]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
On Joint Representation Learning of Network Structure and Document Content. CD-MAKE 2017: 237-251 - [c52]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 - [c51]Nils Witt, Christin Seifert:
Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks. TPDL 2017: 193-204 - [c50]Martin Toepfer, Christin Seifert:
Towards Semantic Quality Control of Automatic Subject Indexing. TPDL 2017: 616-619 - [c49]