Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAISPublikationen ohne G. und N. Andrienko
KD-Publikationen
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2023 | A conceptual framework for developing dashboards for big mobility data Conrow, Lindsey; Fu, Cheng; Huang, Haosheng; Andriyenko, Nathaliya; Andriyenko, Gennadiy; Weibel, Robert |
Zeitschriftenaufsatz Journal Article |
| 2023 | A machine learning method for the identification and characterization of novel COVID-19 drug targets Schultz, Bruce; Delong, Lauren Nicole; Masny, Aliaksandr; Lentzen, Manuel; Raschka, Tamara; Dijk, David van; Zaliani, Andrea; Hansen, Anne Funck; Rüping, Stefan; Kugler, Sabine; Burmeister, Jan; Kohlhammer, Jörn; Sarau, George; Christiansen, Silke; Kannt, Aimo; Foldenauer, Ann Christina; Claussen, Carsten; Resch, Eduard; Frank, Kevin; Gribbon, Philip; Kuzikov, Maria; Keminer, Oliver; Laue, Hendrik; Hahn, Horst; Hirsch, Jochen; Wischnewski, Marco; Günther, Matthias; Archipovas, Saulius; Tom Kodamullil, Alpha; Gemünd, Andre; Fluck, Juliane; Steinborn, Carina; Ebeling, Christian; Domingo Fernández, Daniel; Hermanowski, Helena; Fröhlich, Holger; Klein, Jürgen; Schultz, Bruce; Jacobs, Marc; Hofmann-Apitius, Martin; Knieps, Meike; Krapp, Michael; Wendland, Philipp Johannes; Wegner, Philipp; Golriz Khatami, Sepehr; Springstubbe, Stephan; Linden, Thomas; Lentzen, Manuel; Fröhlich, Holger |
Zeitschriftenaufsatz Journal Article |
| 2023 | An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning Müller, Sebastian; Toborek, Vanessa; Beckh, Katharina; Jakobs, Matthias; Bauckhage, Christian; Welke, Pascal |
Konferenzbeitrag Conference Paper |
| 2023 | An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals Lambert, Sophie Isabelle; Madi, Murielle; Sopka, Saša; Lenes, Andrea; Stange, Hendrik; Buszello, Claus-Peter; Stephan, Astrid |
Review |
| 2023 | Assessing Differential Effects of DMARDs on Psoriasis Area and Severity Index and Patient Global Assessment in Subgroups of Patients with Active PsA Treated over 52-weeks with Secukinumab in a Non-Interventional Trial (AQUILA) Using a Multistage Clustering Approach Köhm, Michaela; Klippstein, Maximilian; Kugler, Sabine; Mackay, Sina; Schulz, Daniel; Vodencarevic, Asmir; Wendt, Guillaume; Peterlik, Daniel; Behrens, Frank; Kiltz, Uta; Brandt-Juergens, Jan |
Meeting Abstract |
| 2023 | Assessing Systematic Weaknesses of DNNs using Counterfactuals Gannamaneni, Sujan Sai; Mock, Michael; Akila, Maram |
Paper |
| 2023 | Author Correction: An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals (npj Digital Medicine, (2023), 6, 1, (111), 10.1038/s41746-023-00852-5) Lambert, Sophie Isabelle; Madi, Murielle; Sopka, Saša; Lenes, Andrea; Stange, Hendrik; Buszello, Claus-Peter; Stephan, Astrid |
Erratum |
| 2023 | Big Data 2.0 - mit synthetischen Daten KI-Systeme stärken Hecker, Dirk; Voß, Angelika; Paass, Gerhard; Wirtz, Tim |
Zeitschriftenaufsatz Journal Article |
| 2023 | Explainable production planning under partial observability in high-precision manufacturing Weichert, Dorina; Kister, Alexander; Volbach, Peter; Houben, Sebastian; Trost, Marcus; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2023 | Exploring Unsupervised Semantic Similarity Methods for Claim Verification in Health Care News Articles Gupta, Vishwani; Viciano, Astrid; Wormer, Holger; Mousavinezhad, Najmehsadat |
Konferenzbeitrag Conference Paper |
| 2023 | Extracting Movement-based Topics for Analysis of Space Use Andriyenko, Gennadiy; Andriyenko, Nathaliya; Hecker, Dirk |
Konferenzbeitrag Conference Paper |
| 2023 | Foundation Models for Natural Language Processing Paass, Gerhard; Giesselbach, Sven |
Buch Book |
| 2023 | Große KI-Modelle für Deutschland. Machbarkeitsstudie Bienert, Jörg; Broch, Roland; Bunk, Patrick; Burchard, Aljoscha; Cann, Vanessa; Deetjen, Ben; Dickmann, Alex; Flores-Herr, Nicolas; Friedmann, Laszlo; Götz, Christopher; Haenel, Fabio; Hillemann, Dennis; Lambers, Kim; Lux, Lukas; Otterbach, Johannes; Paass, Gerhard; Röhl, Charlene; Schmeier, Sven; Susallek, Philipp; Strauch-Rötting, Boris; Süme, Oliver; Temath, Christian; Tesch, Jakob; Timmermann, Hauke; Uszkoreit, Hans |
Studie Study |
| 2023 | Harnessing Prior Knowledge for Explainable Machine Learning: An Overview Beckh, Katharina; Müller, Sebastian; Jakobs, Matthias; Toborek, Vanessa; Tan, Hanxiao; Fischer, Raphael; Welke, Pascal; Houben, Sebastian; Rüden, Laura von |
Konferenzbeitrag Conference Paper |
| 2023 | Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems Rueden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Walczak, Michal; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Garcke, Jochen; Bauckhage, Christian; Schuecker, Jannis |
Zeitschriftenaufsatz Journal Article |
| 2023 | Investigating CLIP Performance for Meta-data Generation in AD Datasets Gannamaneni, Sujan Sai; Sadaghiani, Arwin; Rao, Rohil Prakash; Mock, Michael; Akila, Maram |
Konferenzbeitrag Conference Paper |
| 2023 | Investigation of Drift Detection for Clinical Text Classification Abdelwahab, Hammam; Martens, Claudio; Beck, Niklas; Wegener, Dennis |
Konferenzbeitrag Conference Paper |
| 2023 | KI-Anwendungen systematisch prüfen und absichern Haedecke, Elena Gina; Mock, Michael; Pintz, Maximilian Alexander; Poretschkin, Maximilian |
Paper |
| 2023 | KI-basierte Fehleranalyse für die Instandhaltung erneuerbarer Erzeugung Rajendran, Ajay; Kobialka, Hans-Ulrich |
Vortrag Presentation |
| 2023 | KI-Engineering in der Produktion Frey, Christian; Goßmann, Ann-Kathrin; Hasterok, Constanze; Hertweck, Philipp; Kühnert, Christian; Pfrommer, Julius; Usländer, Thomas; Ernis, Gunar; Hecker, Dirk; Poretschkin, Maximilian; Schulz, Daniel; Wegener, Dennis; Wirtz, Tim; Zimmermann, Alexander |
Paper |
| 2023 | Maschinelles Lernen einführen: wie MLOps dabei unterstützt Wegener, Dennis |
Internetbeitrag Internet Contribution |
| 2023 | Maximal closed set and half-space separations in finite closure systems Seiffarth, Florian; Horvath, Tamas; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2023 | MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs Brito Chacon, Eduardo Alfredo; Iser, Henri |
Konferenzbeitrag Conference Paper |
| 2023 | MLOps-Kompetenz und Arbeitsumgebung Helmer, Lennard; Martens, Claudio; Sylla, Karl-Heinz |
Zeitschriftenaufsatz Journal Article |
| 2023 | Multi-Task Transformer Visualization to build Trust for Clinical Outcome Prediction Antweiler, Dario; Gallusser, Florian; Fuchs, Georg |
Konferenzbeitrag Conference Paper |
| 2023 | Natural Language Processing in der Medizin. Whitepaper Antweiler, Dario; Beckh, Katharina; Chakraborty, Nilesh; Giesselbach, Sven; Klug, Katrin; Rüping, Stefan |
Paper |
| 2023 | POS0881 Specific AI-Generated Pattern of Tender Joints and Tenderness at Enthesial Sites are Predictive for Objective Detection of Musculoskeletal Inflammation in Psoriasis Patients Köhm, Michaela; Pick, Annika; Kugler, Sabine; Mackay, Sina; Antweiler, Dario; Kratz, Hannah; Zerweck, Lukas; Rüping, Stefan; Behrens, Frank |
Zeitschriftenaufsatz Journal Article |
| 2023 | ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models Haedecke, Elena Gina; Mock, Michael; Akila, Maram |
Zeitschriftenaufsatz Journal Article |
| 2023 | Secukinumab treatment of axial spondyloarthritis in real world: Achievement of fast response results in effective treatment outcomes Kugler, Sabine; Mackay, Sina; Schulz, Daniel; Klippstein, Maximilian; Kiltz, Uta; Brandt-Jürgens, Jan; Gmeiner, Benjamin; Vodencarevic, Asmir; Peterlik, Daniel; Wendt, Guillaume; Behrens, Frank; Köhm, Michaela |
Poster |
| 2023 | Secukinumab treatment of psoriatic arthritis in real world: Achievement of fast response results in effective and lasting treatment outcomes Mackay, Sina; Kugler, Sabine; Schulz, Daniel; Klippstein, Maximilian; Kiltz, Uta; Brandt-Jürgens, Jan; Gmeiner, Benjamin; Vodencarevic, Asmir; Peterlik, Daniel; Wendt, Guillaume; Behrens, Frank; Köhm, Michaela |
Poster |
| 2023 | Sex-Dependent Differences in Disease Characteristics do not Influence Effectiveness of Secukinumab Therapy in Patients with Active Axial Spondyloarthritis in a Non-Interventional Trial (AQUILA) Kugler, Sabine; Mackay, Sina; Schulz, Daniel; Klippstein, Maximilian; Kiltz, Uta; Brandt-Jürgens, Jan; Gmeiner, Benjamin; Vodencarevic, Asmir; Peterlik, Daniel; Wendt, Guillaume; Behrens, Frank; Köhm, Michaela |
Poster |
| 2023 | Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans Genovesi, Sergio; Mönig, Julia Maria; Schmitz, Anna; Poretschkin, Maximilian; Akila, Maram; Kahdan, Manoj; Kleiner, Romina; Krieger, Lena; Zimmermann, Alexander |
Zeitschriftenaufsatz Journal Article |
| 2023 | The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications Elzen, Stef van den; Andriyenko, Gennadiy; Andriyenko, Nathaliya; Fisher, Brian D.; Martins, Rafael M.; Peltonen, Jaakko; Telea, Alexandru C.; Verleysen, Michel |
Zeitschriftenaufsatz Journal Article |
| 2023 | Towards formalizing and assessing AI fairness Schmitz, Anna |
Konferenzbeitrag Conference Paper |
| 2023 | Using ScrutinAI for Visual Inspection of DNN Performance in a Medical Use Case Görge, Rebekka; Haedecke, Elena Gina; Mock, Michael |
Paper |
| 2023 | Welche Zertifizierung ist hilfreich für Verbraucher*innen? Baeva, Gergana; Brunner, Robert; Elmas, Filiz; Fresz, Benjamin; Fuß, Christine; Heß, Claudia; Kellmeyer, Philipp; Mahner, Malin; Paulheim, Heiko; Poretschkin, Maximilian; Puntschuh, Michael; Seyerlein-Klug, Annegrit |
Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2022 | A Fast Heuristic for Computing Geodesic Closures in Large Networks Seiffarth, Florian; Horvath, Tamas; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2022 | A generalized Weisfeiler-Lehman graph kernel Schulz, Till Hendrik; Horvath, Tamas; Welke, Pascal; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2022 | A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning Beckh, Katharina; Müller, Sebastian; Rüping, Stefan |
Konferenzbeitrag Conference Paper |
| 2022 | A Quantitative Human-Grounded Evaluation Process for Explainable ML Beckh, Katharina; Müller, Sebastian; Rüping, Stefan |
Vortrag Presentation |
| 2022 | A Simple Heuristic for the Graph Tukey Depth Problem with Potential Applications to Graph Mining Seiffarth, Florian; Horvath, Tamas; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2022 | Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency Brito Chacon, Eduardo Alfredo; Gupta, Vishwani; Hahn, Eric; Giesselbach, Sven |
Konferenzbeitrag Conference Paper |
| 2022 | Assurance Methodology for In-vehicle AI Blank, Frédérik; Hüger, Fabian; Mock, Michael; Stauner, Thomas |
Zeitschriftenaufsatz Journal Article |
| 2022 | Bereit für das Smart Hospital? Nickel, Kilian; Milde, Katharina; Kremer, Dustin; Malich, Christine; Antweiler, Dario; Reibel, Thomas; Jovy-Klein, Florian; Sander, Jil; Bures, Dominik; Diehl, Anke |
Paper |
| 2022 | Deep Neural Networks and Data for Automated Driving | Sammelband Anthology |
| 2022 | DenseHMM: Learning Hidden Markov Models by Learning Dense Representations Sicking, Joachim; Pintz, Maximilian Alexander; Akila, Maram; Wirtz, Tim |
Konferenzbeitrag Conference Paper |
| 2022 | Deutsche Normungsroadmap Künstliche Intelligenz Adler, Rasmus; Bunte, Andreas; Burton, Simon; Großmann, Jürgen; Jaschke, Alexander; Kleen, Philip; Lorenz, Jeanette Miriam; Ma, Jackie; Markert, Karla; Meeß, Henri; Meyer, Olga; Neuhüttler, Jens; Philipp, Patrick; Poretschkin, Maximilian; Rennoch, Axel; Roscher, Karsten; Sperl, Philip; Usländer, Thomas; Weicken, Eva; Wrobel, Stefan; Zidowitz, Stephan; Ziehn, Jens; Kläs, Michael; Cheng, Chih-Hong; Heinrich, Jana; Knoblauch, Dorian; Heidrich, Jens; Görge, Rebekka; Kolomiichuk, Sergii; Lämmel, Philipp; Plinge, Axel; Rauh, Lukas; Tcholtchev, Nikolay Vassilev |
Studie Study |
| 2022 | Die zeitlich-räumliche Verteilung von COVID-19 in Köln und beeinflussende soziale Faktoren im Zeitraum Februar 2020 bis Oktober 2021 Neuhann, F.; Ginzel, Sebastian; Buess, M.; Wolff, A.; Kugler, Sabine; Schlanstedt, G.; Kossow, A.; Nießen, J.; Rüping, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2022 | Evaluation of Drift Detection Techniques for Automated Machine Learning Pipelines Abdelwahab, Hammam |
Master Thesis |
| 2022 | Feature Attribution for Automatic Medical Coding Sauvant, Marie Pauline |
Master Thesis |
| 2022 | Graph-based tensile strength approximation of random nonwoven materials by interpretable regression Antweiler, Dario; Harmening, Marc; Marheineke, Nicole; Schmeißer, Andre; Wegener, Raimund; Pascal Welke |
Zeitschriftenaufsatz Journal Article |
| 2022 | Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation Schneider, Helen; Biesner, David; Nowak, Sebastian; Layer, Yannick C.; Theis, Maike; Block, Wolfgang; Wulff, Benjamin; Sprinkart, Alois M.; Attenberger, Ulrike I.; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2022 | Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Houben, Sebastian; Albrecht, Stefanie; Akila, Maram; Bär, Andreas; Brockherde, Felix; Feifel, Patrick; Fingscheidt, Tim; Gannamaneni, Sujan Sai; Ghobadi, Seyed Eghbal; Hammam, Ahmed; Haselhoff, Anselm; Hauser, Felix; Heinzemann, Christian; Hoffmann, Marco; Kapoor, Nikhil; Kappel, Falk; Klingner, Marvin; Kronenberger, Jan; Küppers, Fabian; Löhdefink, Jonas; Mlynarski, Michael; Mock, Michael; Mualla, Firas; Pavlitskaya, Svetlana; Poretschkin, Maximilian; Pohl, Alexander; Ravi-Kumar, Varun; Rosenzweig, Julia; Rottmann, Matthias; Rüping, Stefan; Sämann, Timo; Schneider, Jan David; Schulz, Elena; Schwalbe, Gesina; Sicking, Joachim; Srivastava, Toshika; Varghese, Serin; Weber, Michael; Wirkert, Sebastian; Wirtz, Tim; Woehrle, Matthias |
Aufsatz in Buch Book Article |
| 2022 | KI-gestütztes Design of Experiments in Forschung und Entwicklung Weichert, Dorina; Ernis, Gunar |
Paper |
| 2022 | Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey Wörmann, Julian; Bogdoll, Daniel; Bührle, Etienne; Chen, Han; Chuo, Evaristus Fuh; Cvejoski, Kostadin; Elst, Ludger van; Gleißner, Tobias; Gottschall, Philip; Griesche, Stefan; Hellert, Christian; Hesels, Christian; Houben, Sebastian; Joseph, Tim; Keil, Niklas; Kelsch, Johann; Königshof, Hendrik; Kraft, Erwin; Kreuser, Leonie; Krone, Kevin; Latka, Tobias; Mattern, Denny; Matthes, Stefan; Munir, Mohsin; Nekolla, Moritz; Paschke, Adrian; Pintz, Maximilian Alexander; Qiu, Tianming; Qureishi, Faraz; Raza Rizvi, Syed Tahseen; Reichardt, Jörg; Rudolph, Stefan; Rüden, Laura von; Sagel, Alexander; Schunk, Gerhard; Shen, Hao; Stapelbroek, Hendrik; Stehr, Vera; Srinivas, Gurucharan; Tran, Anh; Vivekanandan, Abhishek; Wang, Ya; Wasserrab, Florian; Werner, Tino; Wirth, Christian; Zwicklbauer, Stefan |
Paper |
| 2022 | Machine learning framework to predict nonwoven material properties from fiber graph representations Antweiler, Dario; Harmening, Marc; Marheineke, Nicole; Schmeißer, Andre; Wegener, Raimund; Pascal Welke |
Zeitschriftenaufsatz Journal Article |
| 2022 | Methodik zur Absicherung von KI im Fahrzeug Blank, Frédérik; Hüger, Fabian; Mock, Michael; Stauner, Thomas |
Zeitschriftenaufsatz Journal Article |
| 2022 | Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs Paul, Nathalie; Wirtz, Tim; Wrobel, Stefan; Kister, Alexander |
Paper |
| 2022 | Omics and Multi-Omics Analysis for the Early Identification and Improved Outcome of Patients with Psoriatic Arthritis Gurke, Robert; Bendes, Annika; Bowes, John; Köhm, Michaela; Twyman, Richard M.; Barton, Anne; Elewaut, Dirk; Goodyear, Phil; Hahnefeld, Lisa; Hillenbrand, Rainer; Hunter, Ewan; Ibberson, Mark; Ioannidis, Vassilios; Kugler, Sabine; Lories, Rik J.; Resch, Eduard; Rüping, Stefan; Scholich, Klaus; Schwenk, Jochen M.; Waddington, James C.; Whitfield, Phil; Geisslinger, Gerd; FitzGerald, Oliver; Behrens, Frank; Pennington, Stephen R. |
Zeitschriftenaufsatz Journal Article |
| 2022 | Robustness in Fatigue Strength Estimation Weichert, Dorina; Kister, Alexander; Houben, Sebastian; Ernis, Gunar; Wrobel, Stefan |
Paper |
| 2022 | ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions Haedecke, Elena Gina; Mock, Michael; Akila, Maram |
Konferenzbeitrag Conference Paper |
| 2022 | Security of AI-Systems: Fundamentals Adilova, Linara; Böttinger, Konstantin; Danos, Vasilios; Jacob, Sven; Langer, Fabian; Markert, Thora; Poretschkin, Maximilian; Rosenzweig, Julia; Schulze, Jan-Philipp; Sperl, Philip |
Paper |
| 2022 | Sprachversteher Hecker, Dirk; Paass, Gerhard |
Zeitschriftenaufsatz Journal Article |
| 2022 | Symptom diaries as a digital tool to detect SARS-CoV-2 infections and differentiate between prevalent variants Grüne, Barbara; Kugler, Sabine; Ginzel, Sebastian; Wolff, Anna; Buess, Michael; Kossow, Annelene; Küfer-Weiß, Annika; Rüping, Stefan; Neuhann, Florian |
Zeitschriftenaufsatz Journal Article |
| 2022 | The why and how of trustworthy AI Schmitz, Anna; Akila, Maram; Hecker, Dirk; Poretschkin, Maximilian; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2022 | Transparency and Reliability Assurance Methods for Safeguarding Deep Neural Networks - A Survey Haedecke, Elena Gina; Pintz, Maximilian Alexander |
Paper |
| 2022 | Visualizing Rule-based Classifiers for Clinical Risk Prognosis Antweiler, Dario; Fuchs, Georg |
Konferenzbeitrag Conference Paper |
| 2022 | Wasserstein Dropout Sicking, Joachim; Akila, Maram; Pintz, Maximilian Alexander; Wirtz, Tim; Wrobel, Stefan; Fischer, Asja |
Zeitschriftenaufsatz Journal Article |
| 2022 | We need to talk. How Computers Learn Languages Paass, Gerhard |
Zeitschriftenaufsatz Journal Article |
| 2022 | Wie Computer Sprachen lernen Paass, Gerhard |
Zeitschriftenaufsatz Journal Article |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2021 | A Novel Regression Loss for Non-Parametric Uncertainty Optimization Sicking, Joachim; Akila, Maram; Pintz, Maximilian; Wirtz, Tim; Fischer, Asja; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2021 | An Integrated Approach to a Safety Argumentation for AI-Based Perception Functions in Automated Driving Mock, Michael; Scholz, Stefan; Blank, Frederik; Hüger, Fabian; Rohatschek, Andreas; Schwarz, Loren; Stauner, Thomas |
Konferenzbeitrag Conference Paper |
| 2021 | Communication efficient distributed learning of neural networks in Big Data environments using Spark Alkhoury, Fouad; Wegener, Dennis; Sylla, Karl-Heinz; Mock, Michael |
Konferenzbeitrag Conference Paper |
| 2021 | Die Nachvollziehbarkeit von KI-Anwendungen in der Medizin Hänold, Stefanie; Schlee, Nelli; Antweiler, Dario; Beckh, Katharina |
Zeitschriftenaufsatz Journal Article |
| 2021 | Grundlagen des Maschinellen Lernens Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard; Rüping, Stefan |
Aufsatz in Buch Book Article |
| 2021 | Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Houben, Sebastian; Abrecht, Stephanie; Akila, Maram; Bär, Andreas; Brockherde, Felix; Feifel, Patrick; Fingscheidt, Tim; Gannamaneni, Sujan Sai; Ghobadi, Seyed Eghbal; Hammam, Ahmed; Haselhoff, Anselm; Hauser, Felix; Heinzemann, Christian; Hoffmann, Marco; Kapoor, Nikhil; Kappel, Falk; Klingner, Marvin; Kronenberger, Jan; Küppers, Fabian; Löhdefink, Jonas; Mlynarski, Michael; Mock, Michael; Mualla, Firas; Pavlitskaya, Svetlana; Poretschkin, Maximilian; Pohl, Alexander; Ravi-Kumar, Varun; Rosenzweig, Julia; Rottmann, Matthias; Rüping, Stefan; Sämann, Timo; Schneider, Jan David; Schulz, Elena; Schwalbe, Gesina; Sicking, Joachim; Srivastava, Toshika; Varghese, Serin; Weber, Michael; Wirkert, Sebastian; Wirtz, Tim; Woehrle, Matthias |
Paper |
| 2021 | Learning Weakly Convex Sets in Metric Spaces Stadtländer, Eike; Horvath, Tamas; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2021 | Leitfaden zur Gestaltung vertrauenswürdiger Künstlicher Intelligenz (KI-Prüfkatalog) Poretschkin, Maximilian; Schmitz, Anna; Akila, Maram; Adilova, Linara; Becker, Daniel; Cremers, Armin B.; Hecker, Dirk; Houben, Sebastian; Mock, Michael; Rosenzweig, Julia; Sicking, Joachim; Schulz, Elena; Voß, Angelika; Wrobel, Stefan |
Bericht Report |
| 2021 | Management System Support for Trustworthy Artificial Intelligence Mock, Michael; Schmitz, Anna; Adilova, Linara; Becker, Daniel; Cremers, Armin B.; Poretschkin, Maximilian |
Studie Study |
| 2021 | Maximum Margin Separations in Finite Closure Systems Seiffahrt, Florian; Horvath, Tamas; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2021 | Moderne Sprachtechnologien Temath, Christian; Hecker, Dirk; Jovy-Klein, Florian; Lange, Mirco; Paass, Gerhard; Voß, Angelika; Walter, Oliver; Giesselbach, Sven; Köhler, Joachim; Lehmann, Jens |
Studie Study |
| 2021 | Monte Carlo Tree Search for high precision manufacturing Weichert, Dorina; Horchler, Felix; Kister, Alexander; Trost, Marcus; Hartung, Johannes; Risse, Stefan |
Paper |
| 2021 | New active learning algorithms for near-infrared spectroscopy in agricultural applications Krause, Julius; Günder, Maurice; Schulz, Daniel; Gruna, Robin |
Zeitschriftenaufsatz Journal Article |
| 2021 | Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation Adilova, Linara; Schulz, Elena; Akila, Maram; Houben, Sebastian; Schneider, Jan David; Hüger, Fabian; Wirtz, Tim |
Konferenzbeitrag Conference Paper |
| 2021 | Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA Gannamaneni, Sujan Sai; Houben, Sebastian; Akila, Maram |
Konferenzbeitrag Conference Paper |
| 2021 | Street-Map Based Validation of Semantic Segmentation in Autonomous Driving Rüden, Laura von; Wirtz, Tim; Hueger, Fabian; Schneider, Jan David; Piatkowski, Nico; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2021 | Tiefe neuronale Netze Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard |
Aufsatz in Buch Book Article |
| 2021 | Towards the Detection and Visual Analysis of COVID-19 Infection Clusters Antweiler, Dario; Sessler, David; Ginzel, Sebastian; Kohlhammer, Jörn |
Konferenzbeitrag Conference Paper |
| 2021 | Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis Rosenzweig, Julia; Brito, Eduardo; Kobialka, Hans-Ulrich; Akila, Maram; Schmidt, Nico M.; Schlicht, Peter; Schneider, Jan David; Hüger, Fabian; Rottmann, Matthias; Houben, Sebastian; Wirtz, Tim |
Vortrag Presentation |
| 2021 | Vertrauenswürdiges, transparentes und robustes Maschinelles Lernen Bauckhage, Christian; Fürnkranz, Johannes; Paaß, Gerhard |
Aufsatz in Buch Book Article |
| 2021 | Vom Textgenerator zum digitalen Experten Paaß, Gerhard; Hecker, Dirk |
Zeitschriftenaufsatz Journal Article |
| 2021 | Zur Systematischen Bewertung der Vertrauenswürdigkeit von KI-Systemen Poretschkin, Maximilian; Mock, Michael; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2020 | Aligning Subjective Ratings in Clinical Decision Making Pick, Annika; Ginzel, Sebastian; Rüping, Stefan; Sander, Jil; Foldenauer, Ann Christina; Köhm, Michaela |
Vortrag Presentation |
| 2020 | Bayesian Optimization for Min Max Optimization Weichert, Dorina; Kister, Alexander |
Vortrag Presentation |
| 2020 | Characteristics of Monte Carlo Dropout in Wide Neural Networks Sicking, Joachim; Akila, Maram; Wirtz, Tim; Houben, Sebastian; Fischer, Asja |
Vortrag Presentation |
| 2020 | DenseHMM: Learning Hidden Markov Models by Learning Dense Representations Sicking, Joachim; Pintz, Maximilian; Akila, Maram; Wirtz, Tim |
Vortrag Presentation |
| 2020 | Effective approximation of parametrized closure systems over transactional data streams Trabold, Daniel; Horvath, Tamas; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2020 | Exact local correlations in kicked chains Gutkin, Boris; Braun, Petr; Akila, Maram; Waltner, Daniel; Guhr, Thomas |
Zeitschriftenaufsatz Journal Article |
| 2020 | Fusing Multi-label Classification and Semantic Tagging Kindermann, Jörg; Beckh, Katharina |
Konferenzbeitrag Conference Paper |
| 2020 | Incorporating Knowledge Bases into SciBERT and BioBERT pre-trained language models Kiwan, Abdullah; Giesselbach, Sven; Rüping, Stefan |
Vortrag Presentation |
| 2020 | Künstliche Intelligenz Paaß, Gerhard; Hecker, Dirk |
Buch Book |
| 2020 | Künstliche Intelligenz im Krankenhaus: Potenziale und Herausforderungen - Eine Fallstudie im Bereich der Notfallversorgung Antweiler, Dario; Beckh, Katharina; Sander, Jil; Rüping, Stefan |
Studie Study |
| 2020 | Maximal Closed Set and Half-Space Separations in Finite Closure Systems Seiffarth, Florian; Horvath, Tamas; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2020 | Mining Frequent Itemsets from Transactional Data Streams with Probabilistic Error Bounds Trabold, Daniel |
Dissertation Doctoral Thesis |
| 2020 | Optimal Probabilistic Classification in Active Class Selection Bunse, Mirco; Weichert, Dorina; Kister, Alexander; Morik, Katharina |
Konferenzbeitrag Conference Paper |
| 2020 | Qualität, Konformitätsbewertung und Zertifizierung Poretschkin, Maximilian; Loevenich, Daniel; et al. |
Aufsatz in Buch Book Article |
| 2020 | Quantum Machine Learning. Eine Analyse zu Kompetenz, Forschung und Anwendung Bauckhage, Christian; Brito, Eduardo; Daase, Inga; Franken, Lukas; Georgiev, Bogdan; Hecker, Dirk; Paschke, Adrian; Piatkowski, Nico; Soddemann, Thomas; Trabold, Daniel |
Studie Study |
| 2020 | R-Map: A Map metaphor for visualizing information reposting process in social media Chen, Siming; Li, S.; Chen, Siming; Yuan, X. |
Zeitschriftenaufsatz Journal Article |
| 2020 | Resource-Constrained On-Device Learning by Dynamic Averaging Heppe, Lukas; Kamp, Michael; Adilova, Linara; Heinrich, Danny; Piatkowski, Nico; Morik, Katharina |
Konferenzbeitrag Conference Paper |
| 2020 | Revisiting Neuron Coverage and its Application to Test Generation Abrecht, Stephanie; Akila, Maram; Gannamaneni, Sujan Sai; Groh, Konrad; Heinzemann, Christian; Houben, Sebastian; Woehrle, Matthias |
Konferenzbeitrag Conference Paper |
| 2020 | Temporal Graph Analysis for Outbreak Pattern Detection in COVID-19 Contact Tracing Networks Antweiler, Dario; Welke, Pascal |
Vortrag Presentation |
| 2020 | Towards Map-Based Validation of Semantic Segmentation Masks Rüden, Laura von; Wirtz, Tim; Hueger, Fabian; Schneider, Jan David; Bauckhage, Christian |
Vortrag Presentation |
| 2020 | Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain Kirsch, Birgit; Giesselbach, Sven; Schmude, Timothée; Völkening, Malte; Rostalski, Frauke; Rüping, Stefan |
Konferenzbeitrag Conference Paper |
| 2020 | Zertifizierung von KI-Systemen Heesen, Jessica; Müller-Quade, Jörn; Wrobel, Stefan; Poretschkin, Maximilian |
Studie Study |
| 2020 | Zertifizierung von KI-Systemen. Kompass für die Entwicklung und Anwendung vertrauenswürdiger KI-Systeme Heesen, Jessica; Müller-Quade, Jörn; Wrobel, Stefan; Poretschkin, Maximilian |
Bericht Report |
| 2020 | Zukunftssichere Lösungen für maschinelles Lernen Beck, Niklas; Martens, Claudio; Sylla, Karl-Heinz; Wegener, Dennis; Zimmermann, Alexander |
Bericht Report |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2019 | A review of machine learning for the optimization of production processes Weichert, Dorina; Link, Patrick; Stoll, Anke; Rüping, Stefan; Ihlenfeldt, Steffen; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2019 | Big Data in Gesundheitswesen und Medizin Rüping, Stefan; Sander, Jil |
Aufsatz in Buch Book Article |
| 2019 | Big Data, IOT und Machine Learning - Neue Perspektiven für Lastdaten und Schadensvorhersagen Tiesler, H.; Messmer, M.; Paul, Nathalie; Sicking, Joachim |
Konferenzbeitrag Conference Paper |
| 2019 | Computing Character-level Word Embeddings from a Neural Language Model capturing Lexical Relationships Natious, Livin |
Master Thesis |
| 2019 | Effcient Decentralized Deep Learning by Dynamic Model Averaging Kamp, Michael; Adilova, Linara; Sicking, Joachim; Hüger, Fabian; Schlicht, Peter; Wirtz, Tim; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2019 | Improving Word Embeddings Using Kernel PCA Gupta, Vishwani; Giesselbach, Sven; Rüping, Stefan; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2019 | Informed Machine Learning - A Taxonomy and Survey of Integrating Knowledge into Learning Systems Rüden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Schuecker, Jannis; Garcke, Jochen; Bauckhage, Christian; Walczak, Michal |
Paper |
| 2019 | Informed Machine Learning for Industry Bauckhage, Christian; Schulz, Daniel; Hecker, Dirk |
Zeitschriftenaufsatz Journal Article |
| 2019 | Mining Tree Patterns with Partially Injective Homomorphisms Schulz, Till Hendrik; Horvath, Tamas; Welke, Pascal; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2019 | Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic Kirsch, Birgit; Niyazova, Zamira; Mock, Michael; Rüping, Stefan |
Konferenzbeitrag Conference Paper |
| 2019 | Noise Reduction in Distant Supervision using Probabilistic Soft Logic Niyazova, Zamira |
Master Thesis |
| 2019 | Probabilistic and exact frequent subtree mining in graphs beyond forests Welke, Pascal; Horvath, Tamas; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2019 | SML-Bench: A benchmarking framework for structured machine learning Westphal, P.; Buhmann, L.; Bin, S.; Jabeen, H.; Lehmann, Jens |
Zeitschriftenaufsatz Journal Article |
| 2019 | Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing Pick, Annika; Horvath, Tamas; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2019 | Towards Automated Auditing with Machine Learning Sifa, Rafet; Ladi, Anna; Pielka, Maren; Ramamurthy, Rajkumar; Hillebrand, Lars Patrick; Kirsch, Birgit; Biesner, David; Stenzel, Robin; Bell, Thiago; Lübbering, Max; Nütten, Ulrich; Bauckhage, Christian; Warning, U.; Fürst, Benedikt; Khameneh, Tim Dilmaghani; Thom, D.; Huseynov, I.; Kahlert, R.; Schlums, J.; Ismail, H.; Kliem, B.; Loitz, Rüdiger |
Konferenzbeitrag Conference Paper |
| 2019 | Trustworthy Use of Artificial Intelligence Cremers, Armin B.; Englander, Alex; Gabriel, Markus; Hecker, Dirk; Mock, Michael; Poretschkin, Maximilian; Rosenzweig, Julia; Rostalski, Frauke; Sicking, Joachim; Volmer, Julia; Voosholz, Jan; Voß, Angelika; Wrobel, Stefan |
Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2018 | A distributed online learning approach for pattern prediction over movement event streams with apache flink Qadah, Ehab; Mock, Michael; Alevizos, Elias; Fuchs, Georg |
Konferenzbeitrag Conference Paper |
| 2018 | Automatische Erstellung von Ontologien aus schematisierbaren Datensammlungen Martens, Claudio |
Master Thesis |
| 2018 | Big Data in der Industrie - Vorsprung durch Wissen Koch, Daniel Jeffrey; Hecker, Dirk |
Aufsatz in Buch Book Article |
| 2018 | Corresponding Projections for Orphan Screening Giesselbach, Sven; Ullrich, Katrin; Kamp, Michael; Paurat, Daniel; Gärtner, Thomas |
Vortrag Presentation |
| 2018 | Distributed online learning for large-scale pattern prediction over real-time event streams Qadah, Ehab |
Master Thesis |
| 2018 | Edge Computing aus Sicht der Künstlichen Intelligenz Hecker, Dirk; Mock, Michael; Sicking, Joachim; Voß, Angelika; Wirtz, Tim |
Zeitschriftenaufsatz Journal Article |
| 2018 | Model-based data exploration Kobialka, Hans-Ulrich; Paurat, Daniel; Schrader, Lisa |
Konferenzbeitrag Conference Paper |
| 2018 | Probabilistic frequent subtrees for efficient graph classification and retrieval Welke, Pascal; Horvath, Tamas; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2018 | Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring Kirsch, Birgit; Giesselbach, Sven; Knodt, David; Rüping, Stefan |
Aufsatz in Buch Book Article |
| 2018 | Simple recurrent neural networks for support vector machine training Sifa, Rafet; Paurat, Daniel; Trabold, Daniel; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica