piwik-script

Deutsch Intern
    Chair of Computer Science VI - Artificial Intelligence and Applied Computer Science

    Publications

    [ 2022 ] [ 2021 ] [ 2020 ] [ 2019 ] [ 2018 ] [ 2017 ] [ 2016 ] [ 2015 ] [ 2014 ] [ 2013 ] [ 2012 ] [ 2011 ] [ 2010 ] [ 2009 (to appear) ] [ 2009 ] [ 2008 ] [ 2007 ] [ 2006 ] [ 2005 ] [ 2004 ] [ 2003 ] [ 2002 ] [ 2001 ] [ 2000 ] [ 1999 ] [ 1998 ] [ 1997 ] [ 1996 ] [ 1995 ] [ 1994 ] [ 1993 ] [ 1992 ] [ 1991 ] [ 1990 ] [ 1989 ] [ 1988 ] [ 1987 ] [ 1986 ] [ 1985 ] [ 1984 ] [ 1983 ]

    2022 [ to top ]

    • 1.
      Sommer, K.K., Amr, A., Bavendiek, U., Beierle, F., Brunecker, P., Dathe, H., Eils, J., Ertl, M., Fette, G., Gietzelt, M., Heidecker, B., Hellenkamp, K., Heuschmann, P., Hoos, J.D.E., Kesztyüs, T., Kerwagen, F., Kindermann, A., Krefting, D., Landmesser, U., Marschollek, M., Meder, B., Merzweiler, A., Prasser, F., Pryss, R., Richter, J., Schneider, P., Störk, S., Dieterich, C.: Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores. Life. 12(5), (2022).
       
    • 2.
      Schmidt, D., Krug, M., Puppe, F.: Adapting Coreference Algorithms to German Fairy Tales. In: Geierhos, M., Trilcke, P., Börner, I., Seifert, S., Busch, A., and Helling, P. (eds.) Proceedings of the DHd 2022. Zenodo (2022).
       
    • 3.
      Zink, J., Walter, J., Baumeister, J., Wolff, A.: Layered drawing of undirected graphs with generalized port constraints. Computational Geometry: Theory and Applications. 105-106, 101886 (2022).
       
    • 4.
      Tomasek, S., Reul, C., Wehner, M.: Handwritten Text Recognition und Word Mover’s Distance als Grundlagen der digitalen Edition "Die Kindheit Jesu Konrads von Fußesbrunnen". DHd 2022 Digital Humanities: Kulturen des digitalen Gedächtnisses. (2022).
       
    • 5.
      Kaspar, M., Fette, G., Hanke, M., Ertl, M., Puppe, F., Störk, S.: Automated provision of clinical routine data for a complex clinical follow-up study: A data warehouse solution. Health Informatics Journal. 28, (2022).
       
    • 6.
      Reul, C., Tomasek, S., Langhanki, F., Springmann, U.: Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning. 2022 15th IAPR International Workshop on Document Analysis Systems. (2022).
       

    2021 [ to top ]

    • 1.
      Wick, C., Reul, C.: One-Model Ensemble-Learning for Text Recognition of Historical Printings. Proceedings of the 16th International Conference on Document Analysis and Recognition ICDAR 2021. (2021).
       
    • 2.
      Reul, C., Wick, C., Nöth, M., Büttner, A., Wehner, M., Springmann, U.: Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning. 6th International Workshop on Historical Document Imaging and Processing. (2021).
       
    • 3.
      Liman, L., Fette, G., Krebs, J., Puppe, F.: Calculating Key Figures for Radiology Departments Using a Clinical Data Warehouse – A Technical Case Report. Studies in Health Technology and Informatics. 283, 69–77 (2021).
       
    • 4.
      Reul, C.: Semantische Tiefenerschließung historischer Lexika mittels Text- und Typographieerkennung. Ursula Rautenberg/Anja Voeste (Hgg.): Typographie. Disziplinäre Zugänge, fachliche Konzeptionierungen, Forschungsfragen und Projekte (in press). (2021).
       
    • 5.
      Liman, L., Fette, G., Krebs, J., Puppe, F.: Calculating Key Figures for Radiology Departments Using a Clinical Data Warehouse – A Technical Case Report. Studies in Health Technology and Informatics. 283, 69–77 (2021).
       
    • 6.
      Zehe, A., Konle, L., Dümpelmann, L., Gius, E., Hotho, A., Jannidis, F., Kaufmann, L., Krug, M., Puppe, F., Reiter, N., Schreiber, A., Wiedmer, N.: Detecting Scenes in Fiction: A new Segmentation Task. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. ACL (2021).
       
    • 7.
      Baierer, K., Büttner, A., Engl, E., Hinrichsen, L., Reul, C.: OCR-D & OCR4all: Two Complementary Approaches for Improved OCR of Historical Sources. 6th International Workshop on Computational History. (2021).
       
    • 8.
      Schmidt, D., Zehe, A., Lorenzen, J., Sergel, L., Düker, S., Krug, M., Puppe, F.: The FairyNet Corpus - Character Networks for German Fairy Tales. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. pp. 49–56. Association for Computational Linguistics, Punta Cana, Dominican Republic (online) (2021).
       
    • Rule-based Semantic Relat... - Download
      9.
      Korger, A., Baumeister, J.: Rule-based Semantic Relation Extraction in Regulatory Documents. Learning. Knowledge. Data. Analytics. , Munich, Germany (2021).
       

    2020 [ to top ]

    • 1.
      Schmidt, D., Krug, M., Puppe, F.: Integrating user-specified Knowledge for semi-automatic Coreference Resolution. Presented at the February (2020).
       
    • 2.
      Krug, M.: Techniques for the Automatic Extraction of Character Networks in German Historic Novels, (2020).
       
    • 3.
      Korger, A., Baumeister, J.: Case-Based Generation of Regulatory Documents and their Semantic Relatedness. Proceedings of the Future of Information and Communications Conference (FICC) 2020. Springer, San Francisco (2020).
       
    • 4.
      Wick, C., Reul, C., Puppe, F.: Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. Digital Humanities Quarterly. 14, (2020).
       
    • 5.
      Korger, A., Baumeister, J.: Construction of a Corpus for the Evaluation of Textual Case-based Reasoning Architectures. LWDA 2020 -- Lernen, Wissen, Daten, Analysen (2020).
       
    • 6.
      Walter, J., Zink, J., Baumeister, J., Wolff, A.: Layered Drawing of Undirected Graphs with Generalized Port Constraints. 28th International Symposium on Graph Drawing and Network Visualization (GD 2020) (2020).
       
    • 7.
      Kaspar, M., Liman, L., Ertl, M., Fette, G., Seidlmayer, L.K., Schreiber, L., Puppe, F., Störk, S.: Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses. J. Digit. Imaging. 33, 1016–1025 (2020).
       
    • 8.
      Fette, G., Ertl, M., Störk, S.: Translating openEHR Models to FHIR. In: Pape-Haugaard, L.B., Lovis, C., Madsen, I.C., Weber, P., Nielsen, P.H., and Scott, P. (eds.) MIE. pp. 1415–1416. IOS Press (2020).
       
    • 9.
      Frey, A., Gassenmaier, T., Hofmann, U., Schmitt, D., Fette, G., Marx, A., Herterich, S., Boivin‐Jahns, V., Ertl, G., Bley, T., Frantz, S., Jahns, R., Störk, S.: Coagulation factor XIII activity predicts left ventricular remodelling after acute myocardial infarction. ESC heart failure. 7, 2354–2364 (2020).
       
    • 10.
      Kaspar, M., Liman, L., Ertl, M., Fette, G., Seidlmayer, L.K., Schreiber, L., Puppe, F., Störk, S.: Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses. J. Digit. Imaging. 33, 1016–1025 (2020).
       

    2019 [ to top ]

    • 1.
      Koopmann, T., Dallmann, A., Hettinger, L., Niebler, T., Hotho, A.: On the Right Track! Analysing and Predicting Navigation Success in Wikipedia. In: Atzenbeck, C., Rubart, J., and Millard, D.E. (eds.) Proceedings of the 30th ACM Conference on Hypertext and Social Media. pp. 143–152. ACM, Hof, Germany (2019).
       
    • Query Translation between... - Download
      2.
      Fette, G., Kaspar, M., Leon, L., Ertl, M., Krebs, J., Dietrich, G., Störk, S., Puppe, F.: Query Translation between AQL and CQL. (2019).
       
    • 3.
      Reul, C., Springmann, U., Wick, C., Puppe, F.: State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines. DHd 2019 Digital Humanities: multimedial & multimodal. (2019).
       
    • 4.
      Wick, C., Puppe, F.: OMMR4all — a Semiautomatic Online Editor for Medieval Music Notations. In: Calvo-Zaragoza, J. and Pacha, A. (eds.) 2nd International Workshop on Reading Music Systems. pp. 31–34. , Delft, The Netherlands (2019).
       
    • 5.
      Tu, N.D.T., Krug, M., Brunner, A.: Automatic recognition of direct speech without quotation marks. A rule-based approach. Proceedings of DHD. (2019).
       
    • 6.
      Krug, M., Schmidt, D., Wehner, N., Jannidis, F., Puppe, F.: Evaluation of state of the art methods for coreference resolution and quotation attribution on German literary novels, (2019).
       
    • 7.
      Krug, M., Schmidt, D., Jannidis, F., Puppe, F.: Techniques for High Quality Character Reference Detection on German Historical Novels, (2019).
       
    • 8.
      Dietrich, G., Krebs, J., Liman, L., Fette, G., Ertl, M., Kaspar, M., Störk, S., Puppe, F.: Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse. BMC Med. Inf. & Decision Making. 19, 15:1–15:21 (2019).
       
    • 9.
      Zehe, A., Hettinger, L., Ernst, S., Hauptmann, C., Hotho, A.: Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. Proceedings of The 13th International Workshop on Semantic Evaluation. Association for Computational Linguistics (2019).
       
    • 10.
      Reul, C., Göttel, S., Springmann, U., Wick, C., Würzner, K.-M., Puppe, F.: Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification. Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage. (2019).
       
    • 11.
      Fette, G., Kaspar, M., Liman, L., Eertl, M., Krebs, J., Störk, S., Puppe, F.: Implementation of a HL7 CQL engine using the graph database Neo4J. (2019).
       
    • 12.
      Dietrich, G., Krebs, J., Liman, L., Fette, G., Ertl, M., Kaspar, M., Störk, S., Puppe, F.: Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse. BMC Medical Informatics and Decision Making. 19, 15 (2019).
       
    • 13.
      Krug, M., Kempf, S., Schmidt, D., Weimer, L., Puppe, F.: Detecting Character References in Literary Novels using a Two Stage Contextual Deep Learning approach. Zenodo (2019).
       
    • 14.
      Reul, C., Christ, D., Hartelt, A., Balbach, N., Wehner, M., Springmann, U., Wick, C., Grundig, C., Büttner, A., Puppe, F.: OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. ArXiv Preprints (submitted to MDPI - Applied Sciences). (2019).
       
    • 15.
      Reul, C., Springmann, U., Wick, C., Puppe, F.: State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines. DHd 2019 Digital Humanities: multimedial & multimodal. (2019).
       
    • 16.
      Loda, Krebs, Danhof, Schreder, Solimando, Strifler, Rasche, Kortüm, Kerscher, Knop, et al.: Exploration of Artificial Intelligence Use with ARIES in Multiple Myeloma Research. Journal of Clinical Medicine. 8, 999 (2019).
       
    • Query Translation Between... - Download
      17.
      Georg, F., Mathias, K., Liman, L., Georg, D., Maximilian, E., Jonathan, K., Stefan, S., Frank, P.: Query Translation Between openEHR and i2b2. (2019).
       
    • 18.
      Korger, A., Baumeister, J.: Case-Based Retrieval and Adaptation of Regulatory Documents and their Context. Proceedings of LWDA - Lernen. Wissen. Daten. Analysen 2019. pp. 292–303. , Humboldt-Universität zu Berlin (2019).
       
    • Extracting and Learning S... - Download
      19.
      Niebler, T.: Extracting and Learning Semantics from Social Web Data, (2019).
       
    • 20.
      Dietrich, G., Krebs, J., Liman, L., Fette, G., Ertl, M., Kaspar, M., Störk, S., Puppe, F.: Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse. BMC Med. Inf. & Decision Making. 19, 15:1–15:21 (2019).
       
    • Experience-based Quality ... - Download
      21.
      Baumeister, J.: Experience-based Quality Assessment of Distributed Knowledge Graphs. WM 2019 - 10te Konferenz Professionelles Wissensmanagement (2019).
       
    • 22.
      Krebs, J., Krug, M., Fette, G., Dietrich, G., Ertl, M., Güder, G., Puppe, F., Kaspar, M.: Identifying Heart Failure Patients by Medical Text Classification. In: Shvo, A.S., Madsen, I., Prokosch, H.-U., Häyrinen, K., Wolf, K.-H., Martín-Sánchez, F., Löbe, M., and Deserno, T.M. (eds.) EFMI-STC. pp. 251–252. IOS Press (2019).
       
    • 23.
      Wick, C., Hartelt, A., Puppe, F.: Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks. Applied Sciences. 9, (2019).
       
    • Implementation of a HL7 C... - Download
      24.
      Fette, G., Kaspar, M., Liman, L., Eertl, M., Krebs, J., Störk, S., Puppe, F.: Implementation of a HL7 CQL engine using the graph database Neo4J. (2019).
       
    • 25.
      Korger, A., Baumeister, J.: Textual Case-based Adaptation using Semantic Relatedness - A Case Study in the Domain of Security Documents. WM2019 - 10te Konferenz Professionelles Wissensmanagement (2019).
       
    • 26.
      Reul, C., Christ, D., Hartelt, A., Balbach, N., Wehner, M., Springmann, U., Wick, C., Grundig, C., Büttner, A., Puppe, F.: OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. Applied Sciences. 9, (2019).
       
    • 27.
      Baumeister, J., Sehne, V., Wienrich, C.: A Systematic View on Speech Assistants for Service Technicians. Proceedings of LWDA - Lernen. Wissen. Daten. Analysen 2019. pp. 195–206. , Humboldt-Universität zu Berlin (2019).
       
    • 28.
      Gius, E., Jannidis, F., Krug, M., Zehe, A., Hotho, A., Puppe, F., Krebs, J., Reiter, N., Wiedmer, N., Konle, L.: Detection of Scenes in Fiction. Proceedings of Digital Humanities 2019 (2019).
       
    • 29.
      Reul, C., Göttel, S., Springmann, U., Wick, C., Würzner, K.-M., Puppe, F.: Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification. Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage. (2019).
       
    • 30.
      Springmann, U., Reul, C., Dipper, S., Baiter, J.: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin. JLCL: Special Issue on Automatic Text and Layout Recognition. (2019).
       
    • 31.
      Fette, G., Kaspar, M., Leon, L., Ertl, M., Krebs, J., Dietrich, G., Störk, S., Puppe, F.: Query Translation between AQL and CQL. (2019).
       
    • 32.
      Fette, G., Kaspar, M., Liman, L., Eertl, M., Krebs, J., Störk, S., Puppe, F.: Implementation of a HL7 CQL engine using the graph database Neo4J. (2019).
       
    • 33.
      Fette, G., Kaspar, M., Leon, L., Ertl, M., Krebs, J., Dietrich, G., Störk, S., Puppe, F.: Query Translation between AQL and CQL. (2019).
       

    2018 [ to top ]

    • 1.
      Korger, A., Baumeister, J.: The SECCO Ontology for the Retrieval and Generation of Security Concepts. ICCBR 2018 - 26th International Conference on Case-Based Reasoning. Springer, Stockholm, Sweden (2018).
       
    • 2.
      Krug, M., Puppe, F., Reger, I., Weimer, L., Macharowsky, L., Feldhaus, S., Jannidis, F.: Description of a Corpus of Character References in German Novels - DROC [Deutsches ROman Corpus]. DARIAH-DE Working Papers. DARIAH-DE (2018).
       
    • 3.
      Fette, G., Krug, M., Kaspar, M., Liman, L., Dietrich, G., Ertl, M., Krebs, J., Störk, S., Puppe, F.: Estimating a Bias in ICD Encodings for Billing Purposes. In: Ugon, A., Karlsson, D., Klein, G.O., and Moen, A. (eds.) MIE. pp. 141–145. IOS Press (2018).
       
    • ClaiRE at SemEval-2018 Ta... - Download
      4.
      Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., Hotho, A.: ClaiRE at SemEval-2018 Task 7-Extended Version. arXiv preprint arXiv:1804.05825. (2018).
       
    • 5.
      Wick, C., Reul, C., Puppe, F.: Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus. (2018).
       
    • 6.
      Reul, C., Springmann, U., Wick, C., Puppe, F.: Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. JLCL. 33, 3–24 (2018).
       
    • 7.
      Wick, C., Reul, C., Puppe, F.: Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus. JLCL: Special Issue on Automatic Text and Layout Recognition. 33, 79–96 (2018).
       
    • 8.
      Krebs, J., Bittrich, M., Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Liman, L., Einsele, H., Puppe, F., Knop, S.: Finding Needles in the Haystack: Identifying Patients with Rare Subtype of Multiple Myeloma Supported by a Data Warehouse and Information Extraction. In: Hübner, U., Sax, U., Prokosch, H.-U., Breil, B., Binder, H., Zapf, A., Strahwald, B., Beißbarth, T., Grabe, N., and Schöler, A. (eds.) GMDS. pp. 160–164. IOS Press (2018).
       
    • 9.
      Krug, M., Tu, N.D.T., Weimer, L., Reger, I., Konle, L., Jannidis, F., Puppe, F.: Annotation and beyond – Using ATHEN Annotation and Text Highlighting Environment. DHd 2018 (2018).
       
    • 10.
      Jannidis, F., Konle, L., Zehe, A., Hotho, A., Krug, M.: Analysing Direct Speech in German Novels. DHd 2018 (2018).
       
    • 11.
      Krebs, J., Bittrich, M., Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Liman, L., Einsele, H., Puppe, F., Knop, S.: Finding Needles in the Haystack: Identifying Patients with Rare Subtype of Multiple Myeloma Supported by a Data Warehouse and Information Extraction. In: Hübner, U., Sax, U., Prokosch, H.-U., Breil, B., Binder, H., Zapf, A., Strahwald, B., Beißbarth, T., Grabe, N., and Schöler, A. (eds.) GMDS. pp. 160–164. IOS Press (2018).
       
    • 12.
      Fette, G., Krug, M., Kaspar, M., Liman, L., Dietrich, G., Ertl, M., Krebs, J., Störk, S., Puppe, F.: Estimating a Bias in ICD Encodings for Billing Purposes. In: Ugon, A., Karlsson, D., Klein, G.O., and Moen, A. (eds.) MIE. pp. 141–145. IOS Press (2018).
       
    • 13.
      Fette, G., Kaspar, M., Liman, L., Dietrich, G., Ertl, M., Krebs, J., Störk, S., Puppe, F.: Exporting Data from a Clinical Data Warehouse. In: Schreier, G. and Hayn, D. (eds.) eHealth. pp. 88–93. IOS Press (2018).
       
    • 14.
      Kraus, D., von Jeinsen, B., Tzikas, S., Palapies, L., Zeller, T., Bickel, C., Fette, G., J. Lackner, K., Drechsler, C., T. Neumann, J., Baldus, S., Blankenberg, S., Münzel, T., Wanner, C., M. Zeiher, A., Keller, T.: Cardiac troponins for the diagnosis of acute myocardial infarction in chronic kidney disease. Journal of the American Heart Association. 7, e008032 (2018).
       
    • 15.
      Baumeister, J.: Evaluation of Configuration Knowledge in Industrial Manufacturing. Lernen. Wissen. Daten. Analysen. (LWDA 2018). , Mannheim (2018).
       
    • 16.
      Kaspar, M., Fette, G., Güder, G., Seidlmayer, L., Ertl, M., Dietrich, G., Greger, H., Puppe, F., Störk, S.: Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information. Clinical Research in Cardiology. 10 (2018).
       
    • 17.
      Fette, G., Kaspar, M., Liman, L., Dietrich, G., Ertl, M., Krebs, J., Störk, S., Puppe, F.: Exporting Data from a Clinical Data Warehouse. Studies in Health Technology and Informatics. (2018).
       
    • 18.
      Reul, C., Springmann, U., Wick, C., Puppe, F.: Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. JLCL: Special Issue on Automatic Text and Layout Recognition. 33, 3–24 (2018).
       
    • 19.
      Dietrich, G., Krebs, J., Fette, G., Ertl, M., Kaspar, M., Störk, S., Puppe, F.: Ad Hoc Information Extraction for Clinical Data Warehouses. Methods of Information in Medicine. (2018).
       
    • 20.
      Baumeister, J., Reuss, P. eds.: Proceedings of the Workshop: ’Knowledge and Experience Management’ (German SIG meeting, FGWM). (2018).
       
    • 21.
      Fette, G., Krug, M., Kaspar, M., Liman, L., Dietrich, G., Ertl, M., Krebs, J., Störk, S., Puppe, F.: Estimating a bias in ICD encodings for billing purposes. Studies in Health Technology and Informatics. 247, 141–145 (2018).
       
    • 22.
      Reul, C., Springmann, U., Wick, C., Puppe, F.: Improving OCR Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting. 2018 13th IAPR International Workshop on Document Analysis Systems. (2018).
       
    • 23.
      Nalepa, G.J., Baumeister, J.: Synergies between Knowledge Engineering and Software Engineering. Springer (2018).
       
    • ClaiRE at SemEval-2018 Ta... - Download
      24.
      Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., Hotho, A.: ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings. Proceedings of International Workshop on Semantic Evaluation (SemEval-2018). , New Orleans, LA, USA (2018).
       
    • 25.
      Dietrich, G., Krebs, J., Fette, G., Ertl, M., Kaspar, M., Störk, S., Puppe, F.: Ad Hoc Information Extraction for Clinical Data Warehouses. Methods of Information in Medicine. (2018).
       
    • 26.
      Krebs, J., Bittrich, M., Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Liman, L., Einsele, H., Puppe, F., Knop, S.: Finding Needles in the Haystack: Identifying Patients with Rare Subtype of Multiple Myeloma Supported by a Data Warehouse and Information Extraction. In: Hübner, U., Sax, U., Prokosch, H.-U., Breil, B., Binder, H., Zapf, A., Strahwald, B., Beißbarth, T., Grabe, N., and Schöler, A. (eds.) GMDS. pp. 160–164. IOS Press (2018).
       
    • 27.
      Scherer, K.P., Rieder, C., Germann, M., Baumeister, J., Plehn, S.: Knowledge-Based Decision Support with Self-Learning Methods. The Twelfth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP) (2018).
       
    • 28.
      Fette, G., Kaspar, M., Liman, L., Dietrich, G., Ertl, M., Krebs, J., Störk, S., Puppe, F.: Exporting Data from a Clinical Data Warehouse. In: Schreier, G. and Hayn, D. (eds.) eHealth. pp. 88–93. IOS Press (2018).
       

    2017 [ to top ]

    • Learning Word Embeddings ... - Download
      1.
      Niebler, T., Hahn, L., Hotho, A.: Learning Word Embeddings from Tagging Data: A methodological comparison. Proceedings of the LWDA (2017).
       
    • 2.
      Fette, G., Kaspar, M., Dietrich, G., Ertl, M., Krebs, J., Störk, S., Puppe, F.: A Customizable Importer for the Clinical Data Warehouses PaDaWaN and I2B2. In: Röhrig, R., Timmer, A., Binder, H., and Sax, U. (eds.) GMDS. pp. 90–94. IOS Press (2017).
       
    • 3.
      Wick, C., Puppe, F.: Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images, http://arxiv.org/abs/1711.07695, (2017).
       
    • 4.
      Wick, C., Puppe, F.: Leaf Identification Using a Deep Convolutional Neural Network, http://arxiv.org/abs/1712.00967, (2017).
       
    • 5.
      Reul, C., Springmann, U., Wick, C., Puppe, F.: Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting, http://arxiv.org/abs/1711.09670, (2017).
       
    • 6.
      Krug, M., Reger, I., Jannidis, F., Weimer, L., Madarász, N., Puppe, F.: Overcoming Data Sparsity for Relation Detection in German Novels. DH (2017).
       
    • 7.
      Reul, C., Wick, C., Springmann, U., Puppe, F.: Transfer Learning for OCRopus Model Training on Early Printed Books, http://arxiv.org/abs/1712.05586, (2017).
       
    • 8.
      Wagner, M., Wanner, C., Schich, M., Kotseva, K., Wood, D., Hartmann, K., Fette, G., Rücker, V., Oezkur, M., Störk, S., Heuschmann, P.U.: Patient’s and physician’s awareness of kidney disease in coronary heart disease patients – a cross-sectional analysis of the German subset of the EUROASPIRE IV survey. BMC Nephrology. (2017).
       
    • 9.
      Reul, C., Wick, C., Springmann, U., Puppe, F.: Transfer Learning for OCRopus Model Training on Early Printed Books. 027.7 Journal for Library Culture. (2017).
       
    • 10.
      Krebs, J., Corovic, H., Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Krug, M., Störk, S., Puppe, F.: Semi-Automatic Terminology Generation for Information Extraction from German Chest X-Ray Reports. In: Röhrig, R., Timmer, A., Binder, H., and Sax, U. (eds.) GMDS. pp. 80–84. IOS Press (2017).
       
    • 11.
      Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Krebs, J., Mackenrodt, D., Störk, S., Puppe, F.: Extending the Query Language of a Data Warehouse for Patient Recruitment. In: Röhrig, R., Timmer, A., Binder, H., and Sax, U. (eds.) GMDS. pp. 152–156. IOS Press (2017).
       
    • 12.
      Krug, M., Wick, C., Jannidis, F., Reger, I., Weimer, L., Madarasz, N., Puppe, F.: Comparison of Methods for Automatic Relation Extraction in German Novels. Dhd Tagung. (2017).
       
    • A customizable importer f... - Download
      13.
      Georg, F., Mathias, K., Georg, D., Max, E., Jonathan, K., Stefan, S., Frank, P.: A customizable importer for the clinical data warehouses PaDaWaN and I2B2. Studies in Health Technology and Informatics. (2017).
       
    • Semi-automatic Terminolog... - Download
      14.
      Krebs, J., Corovic, H., Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Störk, S., Puppe, F.: Semi-automatic Terminology Generation for Information Extraction from German Chest X-ray Reports. Stud Health Inform, Medline und Web of Science (2017).
       
    • Extending the Query Langu... - Download
      15.
      Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Krebs, J., Mackenrodt, D., Stefan, S., Frank, P.: Extending the Query Language of a Data Warehouse for Patient Recruitment. Stud Health Inform, Medline und Web of Science (2017).
       
    • 16.
      Reul, C., Dittrich, M., Gruner, M.: Case Study of a highly automated Layout Analysis and OCR of an incunabulum: ‘Der Heiligen Leben’ (1488). Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage. (2017).
       
    • 17.
      Kraus, D., von Jeinsen, B., Tzikas, S., Palapies, L., Zeller, T., Bickel, C., Fette, G., Lackner, K., Drechsler, C., Neumann, J., others: SP308 INTRA-INDIVIDUAL CHANGES IN HIGH-SENSITIVE TROPONIN I AND T LEVELS IMPROVE DIAGNOSTIC PERFORMANCE FOR ACUTE MYOCARDIAL INFARCTION IN PATIENTS WITH CHRONIC KIDNEY DISEASE. Nephrology Dialysis Transplantation. 32, iii211-iii211 (2017).
       
    • Vergleich und Integration... - Download
      18.
      Liman, L.: Vergleich und Integration der Data Warehouse Architekturen PaDaWaN und i2b2, (2017).
       
    • Learning Semantic Related... - Download
      19.
      Niebler, T., Becker, M., Pölitz, C., Hotho, A.: Learning Semantic Relatedness From Human Feedback Using Metric Learning. arXiv preprint arXiv:1705.07425. (2017).
       
    • 20.
      Reul, C., Springmann, U., Puppe, F.: LAREX – A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books. Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage. (2017).
       
    • 21.
      Furth, S., Schirm, M., Belli, V., Baumeister, J.: TEKNO: Preparing Legacy Technical Documents for Semantic Information Systems. In: Frasincar, F., Ittoo, A., Nguyen, L.M., and Métais, E. (eds.) Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings. pp. 429–434. Springer International Publishing, Cham (2017).
       
    • 22.
      Scherer, K.P., Knöll, D., Baumeister, J., Furth, S.: Knowledge Acquisition by Selflearning Methods with Structured Clinical Data. IJAS: International Conference on Arts and Sciences. , Montreal (2017).
       
    • 23.
      Furth, S., Baumeister, J.: Constructing Technical Knowledge Organizations from Document Structures. In: Frasincar, F., Ittoo, A., Nguyen, L.M., and Métais, E. (eds.) Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings. pp. 210–213. Springer International Publishing, Cham (2017).
       
    • 24.
      Stange, K., Wick, C., Hinrichsen, H.: Playing Music in Just Intonation - A Dynamically Adapting Tuning Scheme, http://arxiv.org/abs/1706.04338, (2017).
       
    • Learning Semantic Related... - Download
      25.
      Niebler, T., Becker, M., Pölitz, C., Hotho, A.: Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. In: Nikitina, N., Song, D., Fokoue, A., and Haase, P. (eds.) Proceedings of the ISWC 2017 (2017).
       
    • 26.
      Feldmann, C., Mathias, K., Mittenzwei, K., Mohrbach, C., Ertl, M., Fette, G., Puppe, F., Ertl, G., Angermann, C., Stoerk, S.: Patients not consenting in registry participation- another black box in acute heart failure registries. Results from AHF Registry. Presented at the (2017).
       

    2016 [ to top ]

    • FolkTrails: Interpreting ... - Download
      1.
      Niebler, T., Becker, M., Zoller, D., Doerfel, S., Hotho, A.: FolkTrails: Interpreting Navigation Behavior in a Social Tagging System. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM (2016).
       
    • 2.
      Dietrich, G., Fell, F., Fette, G., Krebs, J., Ertl, M., Kaspar, M., Störk, S.: Web-PaDaWaN: Eine Web-basierte Benutzeroberfläche für ein klinisches Data Warehouse. (2016).
       
    • Fast exhaustive subgroup ... - Download
      3.
      Lemmerich, F., Atzmueller, M., Puppe, F.: Fast exhaustive subgroup discovery with numerical target concepts. Data Mining and Knowledge Discovery. 30, 711–762 (2016).
       
    • An improved data workflow... - Download
      4.
      Fette, G., Ertl, M., Dietrich, G., Krebs, J., Toepfer, M., Störk, S., Kaspar, M., Puppe, F.: An improved data workflow for a medical data warehouse. European Journal of Epidemiology; Health—exploring complexity: an interdisciplinary systems approach HEC2016. 31, Supplement 1, 54 (2016).
       
    • 5.
      Lemmerich, F., Becker, M., Singer, P., Helic, D., Hotho, A., Strohmaier, M.: Mining Subgroups with Exceptional Transition Behavior. KDD ’16: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM (2016).
       
    • 6.
      Fette, G., Ertl, M., Dietrich, G., Krebs, J., Toepfer, M., Störk, S., Kaspar, M., Puppe, F.: An improved data workflow for a medical data warehouse. European Journal of Epidemiology; Health—exploring complexity: an interdisciplinary systems approach HEC2016. 31, Supplement 1, 54 (2016).
       
    • Extracting Semantics from... - Download
      7.
      Niebler, T., Schlör, D., Becker, M., Hotho, A.: Extracting Semantics from Unconstrained Navigation on Wikipedia. KI -- Künstliche Intelligenz. 30, 163–168 (2016).
       
    • Extracting Semantics from... - Download
      8.
      Dallmann, A., Niebler, T., Lemmerich, F., Hotho, A.: Extracting Semantics from Random Walks on Wikipedia: Comparing Learning and Counting Methods. In: West, R., Zia, L., Taraborelli, D., and Leskovec, J. (eds.) Proceedings of the 10th International Conference on Web and Social Media. AAAI (2016).
       
    • 9.
      Krebs, J.: Anonymisierung, Segmentierung und Terminologie-Entwicklung zur Informationsextraktion aus unstrukturierten, telegrammartigen, medizinischen Dokumenten, (2016).
       
    • 10.
      Baumeister, J., Furth, S., Roth, L., Belli, V.: Linked Data City - Visualization of Linked Enterprise Data. Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (2016).
       
    • 11.
      Dimitrov, D., Singer, P., Lemmerich, F., Strohmaier, M.: What Makes a Link Successful on Wikipedia?. CoRR. abs/1611.02508, (2016).
       
    • 12.
      Furth, S., Belli, V., Legler, A., Striffler, A., Baumeister, J.: CAPLAN: An Accessible, Flexible and Scalable Semantification Architecture. Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (2016).
       
    • 13.
      Reul, C., Toepfer, M., Puppe, F.: Cross Dataset Evaluation of Feature Extraction Techniques for Leaf Classification. International Journal of Artificial Intelligence & Applications. (2016).
       
    • 14.
      Furth, S., Baumeister, J.: Semantification of Large Corpora of Technical Documentation. In: Atzmueller, M., Oussena, S., and Roth-Berghofer, T. (eds.) Enterprise Big Data Engineering, Analytics, and Management. IGI Global (2016).
       
    • 15.
      Gageik, N., Reul, C., Montenegro, S.: Autonomous Quadrocopter for Search, Count and Localization of Objects. Recent Advances in Robotic Systems (2016).
       
    • 16.
      Reul, C., Köberle, P., Üçeyler, N., Puppe, F.: Expectation-driven Text Extraction from Medical Ultrasound Images. Studies in Health Technology and Informatics. (2016).
       
    • 17.
      Krug, M., Puppe, F., Jannidis, F., Reger, I., Weimer, L., Macharowsky, L.: Comparison of Methods for the Identification of Main Characters in German Novels. Presented at the (2016).
       
    • 18.
      Puppe, F., Krug, M., Jannidis, F., Weimer, L., Macharowsky, L., Reger, I.: Attribuierung direkter Reden in deutschen Romanen des 18.-20. Jahrhunderts. Methoden zur Bestimmung des Sprechers und des Angesprochenen. Presented at the (2016).
       
    • 19.
      Scherer, K.P., Germann, M., Knoell, D., Baumeister, J., Furth, S.: Wissensgenerierung durch Selbstlernverfahren mit strukturierten Katarakt-Daten. Spektrum für Augenheilkunde. 2, 90 (2016).
       
    • 20.
      Baumeister, J., Striffler, A., Brandt, M., Neumann, M.: Collaborative Decision Support and Documentation in Chemical Safety with KnowSEC. Journal of Cheminformatics. 8, 1–16 (2016).
       
    • 21.
      Kluegl, P., Toepfer, M., Beck, P.-D., Fette, G., Puppe, F.: UIMA Ruta: Rapid development of rule-based information extraction applications. Natural Language Engineering. 22, 1–40 (2016).
       
    • 22.
      Baumeister, J.: Requirements of Affective Information Systems in the Industrial Domain. In: Nalepa (ed.) Proceedings of Affective Computing and Context Awareness in Ambient Intelligence (2016).
       
    • 23.
      Kaspar, M., Ertl, M., Fette, G., Dietrich, G., Toepfer, M., Angermann, C., Störk, S., Puppe, F., others: Data Linkage from Clinical to Study Databases via an R Data Warehouse User Interface. Methods of Information in Medicine. 55, 381–386 (2016).
       
    • 24.
      Wallenborn, J., Störk, S., Herrmann, S., Kukuy, O., Fette, G., Puppe, F., Gorski, A., Hu, K., Voelker, W., Ertl, G., Weidemann, F.: Prevalence of severe mitral regurgitation eligible for edge-to-edge mitral valve repair (MitraClip). Clin Res Cardiol. (2016).
       
    • What Users Actually do in... - Download
      25.
      Doerfel, S., Zoller, D., Singer, P., Niebler, T., Hotho, A., Strohmaier, M.: What Users Actually do in a Social Tagging System: A Study of User Behavior in BibSonomy. ACM Transactions on the Web. 10, 14:1–14:32 (2016).
       
    • 26.
      Wick, C.: Deep Learning. Informatik-Spektrum. 1–5 (2016).
       

    2015 [ to top ]

    • Towards Context-Aware Tec... - Download
      1.
      Legler, A., Baumeister, J.: Towards Context-Aware Technical Service. In: Bergmann, R., Görg, S., and Müller, G. (eds.) Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. pp. 288–295. CEUR-WS.org (2015).
       
    • ConDist: A Context-Driven... - Download
      2.
      Ring, M., Otto, F., Becker, M., Niebler, T., Landes, D., Hotho, A.: ConDist: A Context-Driven Categorical Distance Measure. In: Appice, A., Rodrigues, P.P., Costa, V.S., Soares, C., Gama, J., and Jorge, A. (eds.) Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases. pp. 251–266. Springer International Publishing (2015).
       
    • Fallstudie zur Validierun... - Download
      3.
      Dietrich, G., Fette, G., Ertl, M., Toepfer, M., Kaspar, M., Störk, S., Puppe, F.: Fallstudie zur Validierung eines klinischen Data-Warehouse mit Hintergrundwissen. (2015).
       
    • 4.
      Kaspar, M., Fette, G., Ertl, M., Dietrich, G., Nagler, N., Störk, S., Angermann, C., Puppe, F.: Extraktion und Transfer patientenbezogener Daten aus klinischen Informationssystemen in Studiendatenbanken - effektive Unterstützung klinisch-epidemiologischer Forschung durch ein Data Warehouse. (2015).
       
    • Extraktion von Lungenfunk... - Download
      5.
      Toepfer, M., Schmidt, D., Dietrich, G., Ertl, M., Fette, G., Kaspar, M., Störk, S., Puppe, F.: Extraktion von Lungenfunktionsparametern aus Arztbriefen. (2015).
       
    • 6.
      Scherer, K.P., Rieder, C., Henninger, C., Knoell, D., Baumeister, J., Furth, S.: Selbstlernende Wissensbasen in der Kataraktchirurgie. Spektrum der Augenheilkunde. 29, 75–76 (2015).
       
    • Knowledge-Driven Systems ... - Download
      7.
      Baumeister, J., Striffler, A.: Knowledge-Driven Systems for Episodic Decision Support. Knowledge-Based Systems. 88, 45–56 (2015).
       
    • 8.
      Toepfer, M., Corovic, H., Fette, G., Klügl, P., Störk, S., Puppe, F.: Fine-grained information extraction from German transthoracic echocardiography reports. BMC Med. Inf. & Decision Making. 15, 91 (2015).
       
    • 9.
      Fotis, J., Krug, M., Puppe, F., Toepfer, M., Weimer, L., Reger, I.: Automatische Erkennung von Figuren in deutschsprachigen Romanen. Presented at the (2015).
       
    • 10.
      Wick, C., Um, J., Hinrichsen, H.: Entanglement formation under random interactions, http://arxiv.org/abs/1508.01652, (2015).
       
    • 11.
      Puppe, F., Krug, M., Jannidis, F., Reger, I., Weimer, L., Macharowsky, L.: Rule based Coreference Resolution in German Historic Novels. Presented at the (2015).
       
    • Evaluating Emergent Seman... - Download
      12.
      Niebler, T., Becker, M., Zoller, D., Doerfel, S., Hotho, A.: Evaluating Emergent Semantics in Folksonomies on Human Intuition. (2015).
       
    • 13.
      Niebler, T., Becker, M., Zoller, D., Doerfel, S., Hotho, A.: Extracting Semantic Relatedness from Navigation in a Social Tagging System. (2015).
       
    • 14.
      Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D., Strohmaier, M.: VizTrails: An Information Visualization Tool for Exploring Geographic Movement Trajectories. Proceedings of the 26th ACM Conference on Hypertext & Social Media. pp. 319–320. ACM, Guzelyurt, Northern Cyprus (2015).
       
    • On the Semantification of... - Download
      15.
      Furth, S., Baumeister, J.: On the Semantification of 5-Star Technical Documentation. In: Bergmann, R., Görg, S., and Müller, G. (eds.) Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. pp. 264–271. CEUR-WS.org (2015).
       
    • 16.
      Scherer, K.-P., Germann, M., Baumeister, J., Furth, S.: Decision Support for Ophthalmic Applications. 23rd International Conference on Multiple Criteria Decision Making. pp. 132–133 (2015).