KD-Publikationen

Publikationen ohne G. und N. Andrienko

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
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 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 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 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 Methodik zur Absicherung von KI im Fahrzeug
Blank, Frédérik; Hüger, Fabian; Mock, Michael; Stauner, Thomas
Zeitschriftenaufsatz
Journal Article
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 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 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 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
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
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