Year | Title/Author | Document Type |
---|---|---|
2021 | Are you sure? Prediction revision in automated decision-making
Burkart, Nadia; Robert, Sebastian; Huber, Marco | Journal Article |
2021 | Explanation Framework for Intrusion Detection
Burkart, Nadia; Franz, Maximilian; Huber, Marco F. | Conference Paper |
2021 | Grundlagen des Maschinellen Lernens
Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard; Rüping, Stefan | Book Article |
2021 | Information modeling and knowledge extraction for machine learning applications in industrial production systems
Windmann, Stefan; Kühnert, Christian | Conference Paper |
2021 | Supported Decision-Making by Explainable Predictions of Ship Trajectories
Burkart, Nadia; Huber, Marco; Anneken, Mathias | Conference Paper |
2021 | A Survey on the Explainability of Supervised Machine Learning
Burkart, Nadia; Huber, Marco F. | Journal Article |
2021 | tanh Neurons are Bayesian Decision Makers
Bauckhage, Christian; Sifa, Rafet; Hecker, Dirk | Conference Paper |
2021 | Übertragung eines Vorgehensmodells zur KI-Integration von der Industrie auf Umweltinformationssysteme
Hilbring, Desiree; Pfrommer, Julius | Conference Paper |
2020 | Absicherung von Machine-Learning-Verfahren in sicherheitskritischen Systemen: Vortrag gehalten auf dem Forum Künstliche Intelligenz, Stuttgart, 14.05.2020
Schwaiger, Adrian | Presentation |
2020 | Acoustic Process Monitoring in Laser Beam Welding
Schmidt, Leander; Römer, Florian; Böttger, David; Leinenbach, Frank; Straß, Benjamin; Wolter, Bernd; Stricker, Klaus; Seibold, Marc; Bergmann, Jean Pierre; Galdo, Giovanni del | Journal Article |
2020 | Advanced Sensing and Human Activity Recognition in Early Intervention and Rehabilitation of Elderly People
Schrader, Lisa; Vargas Toro, Agustín; Konietzny, Sebastian; Rüping, Stefan; Schäpers, Barbara; Steinböck, Martina; Krewer, Carmen; Müller, Friedemann; Güttler, Jörg; Bock, Thomas | Journal Article |
2020 | An Approach to Near-lossless Hyperspectral Data Compression using Deep Autoencoder
Küster, Jannik; Groß, Wolfgang; Middelmann, Wolfgang | Conference Paper |
2020 | Die ARD Mining-Plattform: Künstliche Intelligenz im produktiven Einsatz für die automatisierte Erschliessung im multimedialen Produktionsprozess
Maroni, Dirk; Köhler, Joachim; Fisseler, J.; Becker, Sven | Journal Article |
2020 | AutoML Techniques for Medical Image Segmentation
Sehring, Jannik Matthias; Kuijper, Arjan (1. Gutachten); Mukhopadhyay, Anirban | Master Thesis |
2020 | AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
Kügler, David; Uecker, Marc; Kuijper, Arjan; Mukhopadhyay, Anirban | Conference Paper |
2020 | Batch-wise Regularization of Deep Neural Networks for Interpretability
Burkart, Nadia; Faller, Philipp M.; Peinsipp, Elisabeth; Huber, Marco | Conference Paper |
2020 | Bayesian Deep Learning for Medical Image Analysis and Diagnosis
Fuchs, Moritz; Kuijper, Arjan (1. Review); Mukhopadhyay, Anirban (2. Review) | Master Thesis |
2020 | Benchmarking Uncertainty Estimation Methods for Deep Learning with Safety-Related Metrics
Henne, Maximilian; Schwaiger, Adrian; Roscher, Karsten; Weiß, Gereon | Conference Paper |
2020 | Beyond Identity: What Information is Stored in Biometric Face Templates?
Terhörst, Philipp; Fährmann, Daniel; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
Rüden, Laura von; Mayer, Sebastian; Sifa, Rafet; Bauckhage, Christian; Garcke, Jochen | Conference Paper |
2020 | Common Representational Model and Ontologies for Effective Law Enforcement Solutions
Kozik, Rafal; Choras, Michal; Pawlicki, Marek; Holubowicz, Witold; Pallmer, Dirk; Müller, Wilmuth; Behmer, Ernst-Josef; Loumiotis, Ioannis; Demestichas, Konstantinos; Horincar, Roxanna; Laudy, Claire; Faure, David | Journal Article |
2020 | Compact Models for Periocular Verification Through Knowledge Distillation
Boutros, Fadi; Damer, Naser; Fang, Meiling; Raja, Kiran; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models
Fenzl, Florian; Rieke, Roland; Chevalier, Y.; Dominik, A.; Kotenko, I. | Journal Article |
2020 | Critical Success Factors of the Smart City Transformation Process and the Role of Technology in the Smart City Approach - A Case Study of Munich, Germany
Schabel, Louisa; Heller, Stephan (Erstprüfer); Seydel, Dominique (Zweitprüfer) | Bachelor Thesis |
2020 | De-disguise Faces for Accurate Disguised Faces Recognition
Süßmilch, Marius; Kuijper, Arjan (1. Review); Kohlhammer, Jörn (2. Review) | Bachelor Thesis |
2020 | Deep Learning Based Model Predictive Control for a Reverse Osmosis Desalination Plant
Karimanzira, Divas; Rauschenbach, Thomas | Journal Article |
2020 | Deep Learning Multi-layer Fusion for an Accurate Iris Presentation Attack Detection
Fang, Meiling; Damer, Naser; Boutros, Fadi; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Demographic Bias in Presentation Attack Detection of Iris Recognition Systems
Fang, Meiling; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Dependable Computing - EDCC 2020 Workshops. Proceedings: AI4RAILS, DREAMS, DSOGRI, SERENE 2020, Munich, Germany, September 7, 2020, virtual conference
Bernardi, Simona (Ed.); Vittorini, Valeria (Ed.); Flammini, F.; Nardone, Roberto (Ed.); Marrone, Stefano (Ed.); Adler, Rasmus (Ed.); Schneider, Daniel (Ed.); Schleiß, Philipp (Ed.); Nostro, N.; Olsen, Rasmus Løvenstein (Ed.); Salle, Amleto di (Ed.); Masci, Paolo (Ed.) ; Intel Deutschland, Neubiberg; Fraunhofer-Institut für Kognitive Systeme -IKS-, München; KTH Royal Institute of Technology, Stockholm | Conference Proceedings |
2020 | Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
Birkenbihl, Colin; Emon, Mohammad Asif; Vrooman, Henri; Westwood, Sarah; Lovestone, Simon; Hofmann-Apitius, Martin; Fröhlich, Holger | Journal Article |
2020 | Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines
Hranisavljevic, Nemanja; Maier, Alexander; Niggemann, Oliver | Journal Article |
2020 | Dynamic Behavior Risk Assessment for Autonomous Systems
Feth, Patrik; Liggesmeyer, Peter; Berns, K.; Deßloch, S. | Dissertation |
2020 | ECU-Secure: Characteristic Functions for In-Vehicle Intrusion Detection
Chevalier, Yannick; Rieke, Roland; Fenzl, Florian; Chechulin, Andrey; Kotenko, Igor | Conference Paper |
2020 | The Effect of Wearing a Mask on Face Recognition Performance. An Exploratory Study
Damer, Naser; Grebe, Jonas Henry; Chen, Cong; Boutros, Fadi; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
Mimilakis, Stylianos Ioannis; Drossos, Konstantinos; Cano, Estefanía; Schuller, Gerald | Journal Article |
2020 | Explain it to me - facing remote sensing challenges in the bio- and geosciences with explainable machine learning
Roscher, R.; Bohn, B.; Duarte, M.F.; Garcke, J. | Conference Paper |
2020 | Extension of a Camera-Based Stationary Measurement Concept to Record the Position of the Motorcycle Rider Using Machine Learning
Gan, Guan Teck; Scherer, Florian (Supervisor); Kuijper, Arjan (Supervisor); Winner, Hermann (Supervisor) | Master Thesis |
2020 | Face Quality Estimation and its Correlation to Demographic and Non-Demographic Bias in Face Recognition
Terhörst, Philipp; Kolf, Jan Niklas; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Fast and Accurate DRAM Simulation: Can we Further Accelerate it?
Feldmann, Johannes; Kraft, Kira; Steiner, Lukas; Wehn, Norbert; Jung, Matthias | Conference Paper |
2020 | Flexilient End-to-End Architectures: Flexibility, Intelligence and Resilience for Dependable Cloud-based Cyber-Physical Systems
Drabek, Christian; Kosmalska, Anna; Friedmann, Miriam (Ed.) | Report |
2020 | Forum Bildverarbeitung 2020: 26. und 27. November 2020, Karlsruhe, Online-Konferenz
Heizmann, Michael (Hrsg.); Längle, Thomas (Hrsg.) | Conference Proceedings |
2020 | A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components
Kläs, Michael; Jöckel, Lisa | Conference Paper |
2020 | Fraunhofer-Institut für Graphische Datenverarbeitung. Jahresbericht 2019: Neue Perspektiven im virutellen Raum. Unser Jahr 2019. Forschung im Einsatz
Fellner, Dieter W. (Hrsg.); Welling, Daniela (Red.); Ackeren, Janine van (Red.); Bergstedt, Bettina (Red.); Krüger, Kathrin (Red.); Prasche, Svenja; Bornemann, Heidrun (Red.); Roth, Anahit (Red.) ; Fraunhofer-Institut für Graphische Datenverarbeitung -IGD-, Darmstadt | Annual Report |
2020 | Fusing Iris and Periocular Region for User Verification in Head Mounted Displays
Boutros, Fadi; Damer, Naser; Raja, Kiran; Ramachandra, Raghavendra; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning
Muslu, Özlem; Hoyt, Charles Tapley; Lacerda, Mauricio Pio de; Hofmann-Apitius, Martin; Fröhlich, Holger | Journal Article |
2020 | 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; Walczak, Michal; Garcke, Jochen; Bauckhage, Christian; Schuecker, Jannis | Report |
2020 | Iris Liveness Detection Competition (LivDet-Iris) - The 2020 Edition
Das, Priyanka; McGrath, Joseph; Fang, Zhaoyuan; Boyd, Aidan; Jang, Ganghee; Mohammadi, Amir; Purnapatra, Sandip; Yambay, David; Marcel, Sébastien; Trokielewicz, Mateusz; Maciejewicz, Piotr; Bowyer, Kevin W.; Czajka, Adam; Schuckers, Stephanie; Tapia, Juan; Gonzalez, Sebastian; Fang, Meiling; Damer, Naser; Boutros, Fadi; Kuijper, Arjan; Sharma, Renu; Chen, Cunjian; Ross, Arun A. | Conference Paper |
2020 | Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection?
Schwaiger, Adrian; Sinhamahapatra, Poulami; Gansloser, Jens; Roscher, Karsten | Conference Paper |
2020 | Issue Based OCR Error Prediction in Video Streams
Siegmund, Dirk; Sacco, Luís Rüger; Kuijper, Arjan | Conference Paper |
2020 | Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion
Niggemann, Oliver; Biswas, Gautam; Kinnebrew, John S.; Hranisavljevic, Nemanja; Bunte, Andreas | Book Article |
2020 | Künstliche Intelligenz anwenden: Einsatzmöglichkeiten und Methoden
Dukino, Claudia; Kötter, Falko; Müller, Tobias; Renner, Thomas; Zaiser, Helmut | Report |
2020 | Künstliche Intelligenz im Krankenhaus: Potenziale und Herausforderungen - Eine Fallstudie im Bereich der Notfallversorgung
Antweiler, Dario; Beckh, Katharina; Sander, Jil; Rüping, Stefan | Study |
2020 | Künstliche Intelligenz in der öffentlichen Verwaltung: Anwendungsfelder und Szenarien
Etscheid, Jan; Lucke, Jörn von; Stroh, Felix; Bauer, Wilhelm (Hrsg.); Riedel, Oliver (Hrsg.); Braun, Steffen (Hrsg.) | Study |
2020 | Künstliche Intelligenz in sicherheitskritischen Anwendungen: Vortrag gehalten im Rahmen des Bitkom AI Research Network, Virtuelles Event, 29.05.2020
Trapp, Mario | Presentation |
2020 | A Landscape Analysis of Standardisation in the Field of Artificial Intelligence
Ziegler, Wolfgang | Journal Article |
2020 | Learned Data Augmentation for Model Optimization
Hsu, Wei-Hung; Kuijper, Arjan (1. Review); Boutros, Fadi (2. Review) | Master Thesis |
2020 | Machine Learning Application for Prediction of Sapphire Crystals Defects
Klunnikova, Yulia Vladimirovna; Anikeev, Maxim Vladimirovich; Filimonov, Alexey Vladimirovich; Kumar, Ravi | Journal Article |
2020 | Machine learning for discovery analytics to support criminal investigations
Müller, Wilmuth; Pallmer, Dirk; Mühlenberg, Dirk; Loumiotis, Ioannis; Remoundou, Konstantina; Kosmides, Pavlos; Demestichas, Konstantinos | Conference Paper |
2020 | Machine Learning in sicherheitskritischen Systemen: Aktuelle Probleme und Möglichkeiten der Absicherung
Schwaiger, Adrian | Conference Paper |
2020 | Methoden zur Absicherung von KI-basierten Perzeptionsarchitekturen in autonomen Systemen: Wie kompatibel sind Künstliche Intelligenz und Sicherheit?
Schleiß, Philipp; Kurzidem, Iwo | Conference Paper |
2020 | Micro Stripes Analyses for Iris Presentation Attack Detection
Fang, Meiling; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status within the Framework of I-Prognosis Personalized Game Suite
Dias, Sofia B.; Grammatikopoulou, Athina; Grammalidis, Nikos; Diniz, José A.; Savvidis, Theodore; Konstantinidis, Evdokimos; Bamidis, Panagiotis; Stadtschnitzer, Michael; Trivedi, Dhaval; Klingelhoefer, Lisa; Katsarou, Zoe; Bostantzopoulou, Sevasti; Dimitropoulos, Kosmas; Hadjileontiadis, Leontios J. | Conference Paper |
2020 | Object Detection in Sonar Images
Karimanzira, Divas; Renkewitz, Helge; Shea, David; Albiez, Jan | Journal Article |
2020 | On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Applications
Boutros, Fadi; Damer, Naser; Raja, Kiran; Ramachandra, Raghavendra; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: Unsupervised machine learning and 3 PM recommendations
Goldstein, Elisha; Yeghiazaryan, Kristina; Ahmad, Ashar; Giordano, Frank A.; Fröhlich, Holger; Golubnitschaja, Olga | Journal Article |
2020 | PathME: Pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data
Lemsara, Amina; Ouadfel, Salima; Fröhlich, Holger | Journal Article |
2020 | Pedestrian Detection and Tracking in Sparse Mls Point Clouds Using a Neural Network and Voting-Based Approach
Borgmann, Björn; Hebel, Marcus; Arens, Michael; Stilla, Uwe | Conference Paper |
2020 | Person Re-identification in a Car Seat
Nottebaum, Moritz; Kuijper, Arjan (1. Review); Rus, Silvia (2. Review) | Bachelor Thesis |
2020 | Post-comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization
Terhörst, Philipp; Kolf, Jan Niklas; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Journal Article |
2020 | Predictive Analysis of Business Processes Using Neural Networks with Attention Mechanism
Philipp, Patrick; Jacob, Ruben; Robert, Sebastian; Beyerer, Jürgen | Conference Paper |
2020 | Preventing Catastrophic Forgetting in Deep Learning Classifiers
González, Camila; Kuijper, Arjan (1. Gutachter); Mukhopadhyay, Anirban (2. Gutachter) | Master Thesis |
2020 | Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies
Terhörst, Philipp; Huber, Marco; Damer, Naser; Rot, Peter; Kirchbuchner, Florian; Struc, Vitomir; Kuijper, Arjan | Conference Paper |
2020 | QoS Evaluation and Prediction for C-V2X Communication in Commercially-Deployed LTE and Mobile Edge Networks
Torres-Figueroa, Luis; Schepker, Henning F.; Jiru, Josef | Conference Paper |
2020 | Reducing Deep Face Recognition Model Size by Knowledge Distillation
Klemt, Marcel; Kuijper, Arjan (1. Review); Boutros, Fadi (2. Review) | Bachelor Thesis |
2020 | Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation
Nakamichi, Koji; Ohashi, Kyoko; Namba, Isao; Yamamoto, Rieko; Aoyama, Mikio; Joeckel, Lisa; Siebert, Julien; Heidrich, Jens | Conference Paper |
2020 | Richtung Zukunft. Online resource: Potenziale Kognitiver Dienstleistungssysteme
Bauer, Wilhelm; Bienzeisler, Bernd; Riedel, Oliver | Book |
2020 | SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures
Aslansefat, Koorosh; Sorokos, Ioannis; Whiting, Declan; Tavakoli Kolagari, Ramin; Papadopoulos, Yiannis | Conference Paper |
2020 | Sampling Based Methods for Uncertainty Quantification in Neural Networks
Felgentreff, Jens; Ankerst, Donna (Aufgabensteller); Schwaiger, Adrian (Betreuer) | Bachelor Thesis |
2020 | SEEDS: Data driven inference of structural model errors and unknown inputs for dynamic systems biology
Newmiwaka, Tobias; Engelhardt, Benjamin; Wendland, Philipp; Kahl, Dominik; Fröhlich, Holger; Kschischo, Maik | Journal Article |
2020 | Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery
Hermann, Max; Ruf, Boitumelo; Weinmann, Martin; Hinz, Stefan | Conference Paper |
2020 | A Shape-Model based Loss for End-to-End Training of Neural Networks
Bohlender, Simon Peter; Kuijper, Arjan (1. Review); Mukhopadhyay, Anirban (2. Review) | Master Thesis |
2020 | Short-term forecast of solar irradiance with convolutional neural networks and spatio-temporal information
Aguilar Protti, Alexander | Master Thesis |
2020 | Smart Services: Chancen erkennen und nutzen
Bauer, Wilhelm (Hrsg.); Riedel, Oliver (Hrsg.); Ganz, Walter (Hrsg.); Hermann, Sibylle (Hrsg.) | Study |
2020 | SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment
Vitek, M.; Das, A.; Pourcenoux, Yann; Missler, Alexandre; Paumier, C.; Das, S.; Ghosh, Ishita de; Lucio, Diego Rafael; Zanlorensi, Luiz Antonio; Boutros, Fadi; Damer, Naser; Grebe, Jonas Henry; Kuijper, Arjan; Hu, J.; He, Y.; Wang, C.; Liu, H.; Wang, Y.; Sun, Z.; Osorio-Roig, D.; Rathgeb, Christian; Busch, Christoph; Tapia, Juan; Valenzuela, Andrés; Zampoukis, Georgios; Tsochatzidis, Lazaros; Pratikakis, Ioannis; Nathan, Sabari; Suganya, Ramamoorthy; Mehta, V.; Dhall, Abhinav; Raja, Kiran; Gupta, G.; Khiarak, Jalil Nourmohammadi; Akbari-Shahper, Mohsen; Jaryani, Farhang; Asgari-Chenaghl, Meysam; Vyas, Ritesh; Dakshit, Sagnik; Peer, Peter; Pal, Umapada; Struc, Vitomir; Menotti, David | Conference Paper |
2020 | State-Of-Charge Estimation Including Uncertainty Analysis: Combining the Information from Charging Profiles and Voltage Relaxation During Pauses Using Neural Networks
Augustin, Beatrix; Schmid, Ute (Betreuer); Lehmann, Thomas (Betreuer) | Master Thesis |
2020 | STYLE: Style Transfer for Synthetic Training of a YoLo6D Pose Estimator
Pöllabauer, Thomas Jürgen; Rojtberg, Pavel (1. Prüfer); Kuijper, Arjan (2. Prüfer) | Master Thesis |
2020 | A Systemic Approach for Early Warning in Crisis Prevention and Management
Kuwertz, Achim; Moll, Maximilian; Sander, Jennifer; Pickl, Stefan | Conference Paper |
2020 | Time-unfolding Object Existence Detection in Low-quality Underwater Videos using Convolutional Neural Networks
Tödtmann, Helmut; Vahl, Matthias; Lukas, Uwe von; Ullrich, Torsten | Conference Paper |
2020 | Toward mass video data analysis: Interactive and immersive 4D scene reconstruction
Kraus, Matthias; Pollock, Thomas; Miller, Matthias; Kilian, Timon; Moritz, Tobias; Schweitzer, Daniel; Beyerer, Jürgen; Keim, Daniel; Qu, Chengchao; Jentner, Wolfgang | Journal Article |
2020 | Towards Creation of Automated Prediction Systems for Trust and Dependability Evaluation
Cioroaica, Emilia; Chren, Stanislav; Aktouf, Oum-El-Kheir; Larsson, Alf; Chillarege, Ram; Kuhn, Thomas; Schneider, Daniel; Wolschke, Christian | Conference Paper |
2020 | Towards Guidelines for Assessing Qualities of Machine Learning Systems
Siebert, Julien; Jöckel, Lisa; Heidrich, Jens; Nakamichi, Koji; Ohashi, Kyoko; Namba, Isao; Yamamoto, Rieko; Aoyama, Mikio | Conference Paper |
2020 | Transforming Seismocardiograms into Electrocardiograms by Applying Convolutional Autoencoders
Haescher, Marian; Hoepfner, Florian; Chodan, Wencke; Kraft, Dimitri; Aehnelt, Mario; Urban, Bodo | Conference Paper |
2020 | Using normal behaviour models to identify upcoming wind turbine failures: Presentation held at 5th Offshore Wind Operations & Maintenance Forum, December 2nd, 2020
Lutz, Marc-Alexander | Presentation |
2020 | Verbundforschungsprojekt Self Service A.I.: Online-Umfrage: Intelligenten Self Service gestalten
Büllesfeld, Elisabeth; Link, Jasmin; Baier, Monique Faye; Bauer, Wilhelm (Hrsg.); Riedel, Oliver (Hrsg.); Peissner, Matthias (Hrsg.) | Report |
2020 | Vibroarthrography using Convolutional Neural Networks
Kraft, Dimitri; Bieber, Gerald | Conference Paper |
2020 | Visually-aware Recommendation System for Interior Design
Metzler, Simon Konstantin; Kuijper, Arjan (1. Review); Yeste Magdaleno, Javier (2. Review) | Bachelor Thesis |
2020 | What identifies a whale by its fluke? On the benefit of interpretable machine learning for whale identification
Kierdorf, J.; Garcke, J.; Behley, J.; Cheeseman, T.; Roscher, R. | Conference Paper |
2020 | Wie hört sich Qualität im industriellen Kontext an? Der Puck macht "pling"!
Kepplinger, Sara; Krüger, Tobias | Journal Article |
2020 | Wireless sensor network for AI-based flood disaster detection
Al Qundus, Jamal; Dabbour, Kosai; Gupta, Shivam; Meissonier, Régis; Paschke, Adrian | Journal Article |
2020 | Zustellarbeit 4.0 - eine 360-Grad-Analyse: Leitfragen zur Entwicklung der Zustellarbeit am Beispiel der KEP-Branche
Bienzeisler, Bernd; Zanker, Claus | Study |
2019 | ALICE - Artificial Intelligence Catheter. Towards Autonomous Closed Loop Control of Passive Endovascular Catheters Based on Deep Reinforcement Learning: Poster presented at Emerging Learning Techniques for Robotics, Workshop at the Hamlyn Symposium on Medical Robotics, 26th June 2019, London
Karstensen, Lennart; Pusch, Tim Philipp; Siegfarth, Marius; Behr, Tobias; Hüsener, Dominik; Pätz, Torben; Strehlow, Jan | Poster |
2019 | Anomaly Detection and probable path prediction for Single and Multiperson-Application in Smart Homes
Lian, Runze; Kuijper, Arjan (Gutacher); Fu, Biying | Master Thesis |
2019 | Anwendung von (Luft-)Schallanalyse als ein Verfahren der berührungslosen Qualitätssicherung für die vorausschauende Wartung
Helbig, Mareike; Clauss, Tobias; Kepplinger, Sara; Lukashevich, Hanna | Conference Paper |
2019 | Applicability of AI methods to JISR resource planning
Rodenbeck, Roland; Reinert, Frank; Sander, Jennifer; Jackwerth, Andre | Conference Paper |
2019 | Arbeit in der digitalisierten Welt: Stand der Forschung und Anwendung im BMBF-Förderschwerpunkt
Bauer, Wilhelm (Hrsg.); Stowasser, Sascha (Hrsg.); Mütze-Niewöhner, Susanne (Hrsg.); Zanker, Claus (Hrsg.); Brandl, Karl Heinz (Hrsg.) ; Verbundprojekt "TransWork" | Report |
2019 | An artificial neural network and Random Forest identify glyphosate-impacted brackish communities based on 16S rRNA amplicon MiSeq read counts
Janßen, René; Zabel, Jakob; Lukas, Uwe von; Labrenz, Matthias | Journal Article |
2019 | Automatisierte Geschäftsmodellanalysen mit Deep Neural Networks
Sachs, Moritz Karl; Unbescheiden, Matthias (Betreuer); Buxmann, Peter (Betreuer) | Master Thesis |
2019 | Big Data, IOT und Machine Learning - Neue Perspektiven für Lastdaten und Schadensvorhersagen
Tiesler, H.; Messmer, M.; Paul, N.; Sicking, J. | Conference Paper |
2019 | Combination of sensor-embedded and secure server-distributed artificial intelligence for healthcare applications
Gembaczka, Pierre; Heidemann, Burkhard; Bennertz, Bernhard; Gröting, Wolfgang; Norgall, Thomas; Seidl, Karsten | Journal Article |
2019 | Combination of sensor-embedded and secure server-distributed artificial intelligence for healthcare applications
Gembaczka, Pierre; Heidemann, Burkhard; Bennertz, Bernhard; Gröting, Wolfgang; Norgall, Thomas; Seidl, Karsten | Abstract |
2019 | Comparative Study of Machine Learning Methods for In-Vehicle Intrusion Detection
Berger, Ivo; Rieke, Roland; Kolomeets, Maxim; Chechulin, Andrey; Kotenko, Igor | Conference Paper |
2019 | Comparison of Angle and Size Features with Deep Learning for Emotion Recognition
Dunau, Patrick; Huber, Marco; Beyerer, Jürgen | Conference Paper |
2019 | Comprehensive Analysis of Deep Learning-based Vehicle Detection in Aerial Images
Sommer, L.; Schuchert, Tobias; Beyerer, Jürgen | Journal Article |
2019 | Current trends in applied machine intelligence
Humm, Bernhard G.; Bense, Hermann; Classen, Mario; Geißler, Stefan; Hoppe, Thomas; Juwig, Oliver; Paschke, Adrian; Schäfermeier, Ralph; Siegel, Melanie; Weichhardt, Frauke; Wenning, Rigo | Journal Article |
2019 | Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems
Balzereit, Kaja; Maier, Alexander; Barig, Björn; Hutschenreuther, Tino; Niggemann, Oliver | Conference Paper |
2019 | Deep learning for clustering of multivariate clinical patient trajectories with missing values
Jong, Johann de; Emon, Mohammad Asif; Wu, Ping; Karki, Reagon; Sood, Meemansa; Godard, Patrice; Ahmad, Ashar; Vrooman, Henri; Hofmann-Apitius, Martin; Fröhlich, Holger | Journal Article |
2019 | Detection of surface properties using image recognition techniques using deep learning algorithms
Dhanekula, Rakesh; Urban, Bodo; Hoepfner, Florian; Haescher, Marian | Master Thesis |
2019 | Einsatzfelder von künstlicher Intelligenz im Produktionsumfeld: Kurzstudie im Rahmen von "100 Orte für Industrie 4.0 in Baden-Württemberg"
Hatiboglu, Bumin; Schuler, Sven; Bildstein, Andreas; Hämmerle, Moritz ; Fraunhofer-Institut für Produktionstechnik und Automatisierung -IPA-, Stuttgart; Fraunhofer-Institut für Arbeitswirtschaft und Organisation -IAO-, Stuttgart | Study |
2019 | Enhancing the Texture Quality of 3D Building Models
Dahlke, Jannik Oliver; Fellner, Dieter W. (1. Review); Erdt, Marius (2. Review) | Master Thesis |
2019 | Evaluation verzeichnungskorrigierter Trajektorien von Verkehrsteilnehmenden aus Infrarot-Videosequenzen
Heußer, Axel; Gerike, Regine (Gutachter); Bärwolff, Martin (Betreuer); Schreiber, Dominik (Betreuer) | Thesis |
2019 | Forcing Interpretability for Deep Neural Networks through Rule-based Regularization
Burkart, Nadia; Huber, Marco; Faller, Philipp M. | Conference Paper |
2019 | Forecasting of wind power curtailment events
Koch, Jonas; Jost, Dominik; Braun, Axel; Dobschinsik, Jan | Conference Paper |
2019 | Forecasting Vertical Power Flows at Transmission Grid Nodes characterized by high Penetration of Renewable Generation and Consumption
Jost, Dominik; Braun, Axel; Brauns, Katharina; Dobschinski, Jan | Conference Paper |
2019 | Fraunhofer Institute for Cognitive Systems. Annual Report 2018/2019
Hengl, Hans-Thomas (ed.); Wardenburg, Eva von (ed.) ; Fraunhofer-Institut für Kognitive Systeme -IKS-, München | Annual Report |
2019 | Fraunhofer Institute for Cognitive Systems. Safe Intelligence Magazine 2019/2020
Hengl, Hans-Thomas (Ed.); Wardenburg, Eva von (Ed.) ; Fraunhofer-Institut für Kognitive Systeme -IKS-, München | Annual Report |
2019 | Fraunhofer-Institut für Kognitive Systeme. Jahresbericht 2018/2019
Hengl, Hans-Thomas (Red.); Wardenburg, Eva von (Red.) ; Fraunhofer-Institut für Kognitive Systeme -IKS-, München | Annual Report |
2019 | Fraunhofer-Institut für Kognitive Systeme. Safe Intelligence Magazin 2019/2020
Hengl, Hans-Thomas (Red.); Wardenburg, Eva von (Red.) ; Fraunhofer-Institut für Kognitive Systeme -IKS-, München | Annual Report |
2019 | Generalization of SELU to CNN
Ha, Bach; Plöger, Paul G.; Kraetzschmar, Gerhard K.; Zimmermann, Florian | Master Thesis |
2019 | Habitat-Net: Segmentation of Habitat Images Using Deep Learning
Abrams, Jesse F.; Vashishtha, Anand; Wong, Seth T.; Nguyen, An; Mohamed, Azlan; Wieser, Sebastian; Kuijper, Arjan; Wilting, Andreas; Mukhopadhyay, Anirban | Journal Article |
2019 | Handling Work Complexity with AR/Deep Learning
Dhiman, Hitesh; Büttner, Sebastian; Röcker, Carsten; Reisch, Raphael | Conference Paper |
2019 | The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case
Kozik, Rafal; Choras, Michal; Pawlicki, Marek; Holubowicz, Witold; Pallmer, Dirk; Müller, Wilmuth; Behmer, Ernst-Josef; Loumiotis, Ioannis; Demestichas, Konstantinos; Horincar, Roxana; Laudy, Claire; Faure, David | Conference Paper |
2019 | The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling
Mubeen, Sarah; Hoyt, Charles Tapley; Gemünd, André; Hofmann-Apitius, Martin; Fröhlich, Holger; Domingo-Fernandez, Daniel | Journal Article |
2019 | Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-task Learning
Kassawat, Firas; Chaudhuri, Debanjan; Lehmann, Jens | Conference Paper |
2019 | KI - Eine Aufgabe für das ganze Unternehmen
Urbach, Nils; Hofmann, Peter; Protschky, Dominik | Book Article |
2019 | Konkrete Anwendungsfälle von KI & Big-Data in der Industrie. Leitfaden
Abdel-Halim, Sharif; Aroudaki, Hicham; Balzer, Paul; Bláha, J.; Bösche, F.; Brandmüller, O.; Festl, A.; Fockele, L.; Hein, O.; Hülsen, A. van; Jankowski, T.; Kaiser, C.; Kleist, C.; Kourouma, I.; Nilsson, K.; Rauschert, André; Schapranow, M.-P.; Steinacker, A.; Stocker, A. | Report |
2019 | Localization and Mapping of Monocular Cameras in Large Urban Environments using Virtual City Models
Pandikow, Lars; Kuijper, Arjan (1. Gutachten); Gutbell, Ralf (2. Gutachten) | Master Thesis |
2019 | Machine Learning Approaches along the Radiology Value Chain - Rethinking Value Propositions
Hofmann, Peter; Oesterle, Severin; Rust, Paul; Urbach, Nils | Conference Paper |
2019 | Managing Uncertainty of AI-based Perception for Autonomous Systems
Henne, Maximilian; Schwaiger, Adrian; Weiß, Gereon | Conference Paper |
2019 | Mitigating Ethnic Bias in Face Recognition Models through Fair Template Comparison
Tran, Mai Ly; Kuijper, Arjan (1. Gutachter); Terhörst, Philipp (2. Gutachter) | Master Thesis |
2019 | Ökosysteme für Daten und Künstliche Intelligenz. Positionspapier: Konzeption einer souveränen Dateninfrastruktur und Analyse von Potenzialen durch Ökosysteme in KI-Anwendungsfällen unterschiedlicher Domänen
Lis, Dominik; Tagalidou, Nektaria; Lingelbach, Katharina; Spiekermann, Markus | Report |
2019 | On the Generalization of Detecting Face Morphing Attacks as Anomalies: Novelty vs. Outlier Detection
Damer, Naser; Grebe, Jonas Henry; Zienert, Steffen; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2019 | An Overview of User Feedback Classification Approaches
Santos, Rubens; Groen, Eduard C.; Villela, Karina | Conference Paper |
2019 | Der Puck macht "pling"!
Kepplinger, Sara; Krüger, Tobias | Journal Article |
2019 | Reliability and intelligence in predictive / smart maintenance for mobile machines by using edge cloud, flexible distributed software architectures and reliable machine learning: Presentation held at Agritechnica 2019, Weltleitmesse für Landtechnik, 10.-16. November 2019, Hannover
Stiller, Michael | Presentation |
2019 | A review of machine learning for the optimization of production processes
Weichert, D.; Link, Patrick; Stoll, Anke; Rüping, S.; Ihlenfeldt, Steffen; Wrobel, S. | Journal Article |
2019 | Satellitengestützte Fahrzeuglokalisierung in urbanen Umgebungen
Tollkühn, Andreas; Lerch, R.; Thielecke, Jörn; Koch, W. | Dissertation |
2019 | Scalable Analytics Platform for Machine Learning in Smart Production Systems
Al-Gumaei, Khaled; Müller, Arthur; Weskamp, Jan Nicolas; Longo, Claudio Santo; Pethig, Florian; Windmann, Stefan | Conference Paper |
2019 | Self-learning Shape Recognition in Medical Images
Ma, Jingting; Lin, Feng (Supervisor); Erdt, Marius (Supervisor); Fellner, Dieter W. (Co-Supervisor); Wesarg, Stefan (Co-Supervisor) | Dissertation |
2019 | SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes
Azimi, Seyed M.; Henry, Crentin; Sommer, Lars; Schumann, Arne; Vig, Eleonora | Conference Paper |
2019 | Sounding Industry: Challenges and Datasets for Industrial Sound Analysis
Grollmisch, Sascha; Abeßer, Jakob; Liebetrau, Judith; Lukashevich, Hanna | Conference Paper |
2019 | A Study on Trust in Black Box Models and Post-hoc Explanations
El Bekri, Nadia; Kling, J.; Huber, M. | Conference Paper |
2019 | Suppressing Gender and Age in Face Templates Using Incremental Variable Elimination
Terhörst, Philipp; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2019 | Synthesis of Medical Images Using GANs
Middel, Laura; Palm, Christoph; Erdt, Marius | Conference Paper |
2019 | Szenario-Report: KI-basierte Arbeitswelten 2030
Burmeister, Klaus; Fink, Alexander; Mayer, Christina; Schiel, Andreas; Schulz-Montag, Beate | Report |
2019 | Towards Contradiction Detection in German: A Translation-Driven Approach
Sifa, Rafet; Pielka, Maren; Ramamurthy, Rajkumar; Ladi, Anna; Hillebrand, Lars; Bauckhage, Christian | Conference Paper |
2019 | Towards information extraction from ISR reports for decision support using a two-stage learning-based approach
Mühlenberg, Dirk; Kuwertz, Achim; Schenkel, P.; Müller, Wilmuth | Conference Paper |
2019 | Ubiquitous Person Detection and Identification in Smart Living Environments
Kubon, Philipp; Kuijper, Arjan (1. Gutachten); Boutros, Fadi (2. Gutachten) | Bachelor Thesis |
2019 | Unary and Binary Classification Approaches and their Implications for Authorship Verification
Halvani, Oren; Winter, Christian; Graner, Lukas | Report |
2019 | Uncertainty for safe utilization of machine learning in medical imaging and clinical image-based procedures. Proceedings: First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019
Greenspan, Hayit (Ed.); Tanno, Ryutaro (Ed.); Erdt, Marius (Ed.); Arbel, Tal (Ed.); Baumgartner, Christian (Ed.); Dalca, Adrian (Ed.); Sudre, Carole H. (Ed.); Wells, William M. (Ed.); Drechsler, Klaus (Ed.); Linguraru, Marius George (Ed.); Oyarzun Laura, Cristina (Ed.); Shekhar, Raj (Ed.); Wesarg, Stefan (Ed.); González Ballester, Miguel Angel (Ed.) | Conference Proceedings |
2019 | Uncertainty Wrappers for Data-Driven Models: Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates
Kläs, Michael; Sembach, Lena | Conference Paper |
2019 | Underwater Color Restoration Using U-Net Denoising Autoencoder
Hashisho, Yousif; Albadawi, Mohamad; Krause, Tom; Lukas, Uwe von | Conference Paper |
2019 | Unterwasserdetektion von Munitionsaltlasten auf Sonarbildern durch Convolutional Neural Networks
Sidin, Dennis; Ferrein, Alexander (Betreuender Professor); Albadawi, Mohamad (Betreuender Mitarbeiter) | Bachelor Thesis |
2019 | Use of AI-based solutions in safety-critical applications: Presentation held at Forum Künstliche Intelligenz, 14.05.2019, Stuttgart
Seydel, Dominique | Presentation |
2019 | Use of AI-Based Solutions in Safety-Critical Applications: Presentation held at FutureCar Innovation Network Meeting, 22.-23.10.2019, Wien
Seydel, Dominique | Presentation |
2019 | Using neural networks to detect objects in MLS point clouds based on local point neighborhoods
Borgmann, Björn; Hebel, Marcus; Arens, Michael; Stilla, Uwe | Conference Paper |
2019 | Wind Power Forecasting Based on Deep Neural Networks and Transfer Learning
Vogt, Stephan; Braun, Axel; Dobschinski, Jan; Sick, Bernhard | Conference Paper |
2018 | 3D object classification and parameter estimation based on parametric procedural models
Getto, Roman; Fina, Kenten; Jarms, Lennart; Kuijper, Arjan; Fellner, Dieter W. | Conference Paper |
2018 | Aesthetic discrimination of graph layouts
Klammler, M.; Mchedlidze, T.; Pak, Alexey | Conference Paper |
2018 | Akustische Qualitätskontrolle mit künstlicher Intelligenz
Liebetrau, Judith; Grollmisch, Sascha; Clauß, Tobias | Journal Article |
2018 | Application and evaluation of meta-model assisted optimisation strategies for gripper assisted fabric draping in composite manufacturing
Zimmerling, Clemens; Pfrommer, Julius; Liu, Jinzhao; Beyerer, Jürgen; Henning, Frank; Kärger, Luise | Conference Paper |
2018 | Automatic analysis of sewer pipes based on unrolled monocular fisheye images
Künzel, Johannes; Werner, Thomas; Eisert, Peter; Waschnewski, Jan; Möller, Ronja; Hilpert, Ralf | Conference Paper |
2018 | Automatic Mapping for OpenCL-Programs on CPU/GPU Heterogeneous Platforms
Moren, Konrad; Göhringer, Diana | Conference Paper |
2018 | Cognitive Computing: What's in for Business Process Management?: An Exploration of Use Case Ideas
Röglinger, Maximilian; Seyfried, Johannes; Stelzl, Simon; Muehlen, Michael zur | Conference Paper |
2018 | Comparing visual-interactive labeling with active learning: An experimental study
Bernard, Jürgen; Hutter, Marco; Zeppelzauer, Matthias; Fellner, Dieter W.; Sedlmair, Michael | Journal Article |
2018 | CrazyFaces: Unassisted Circumvention of Watchlist Face Identification
Damer, Naser; Wainakh, Yaza; Boller, Viola; Berken von den, Sven; Terhörst, Philipp; Braun, Andreas; Kuijper, Arjan | Conference Paper |
2018 | Deep Cross-Domain Building Extraction for Selective Depth Estimation from Oblique Aerial Imagery
Ruf, Boitumelo; Thiel, Laurenz; Weinmann, Martin | Conference Paper |
2018 | Defining argument weighing functions
Gordon, Thomas F. | Journal Article |
2018 | Designing self-aware textiles
Gutjahr, Christian; Kuijper, Arjan (1. Gutachten); Rus, Silvia (2. Gutachten) | Master Thesis |
2018 | Detection of vehicles in multisensor data via multibranch convolutional neural networks
Schilling, Hendrik; Bulatov, Dimitri; Niessner, Robin; Middelmann, Wolfgang; Soergel, Uwe | Journal Article |
2018 | Exploring adversarial examples. Patterns of one-pixel attacks
Kügler, David; Distergoft, Alexander; Kuijper, Arjan; Mukhopadhyay, Anirban | Conference Paper |
2018 | An image processing pipeline for long range UAV detection
Schumann, Arne; Sommer, L.; Müller, Thomas; Voth, Sascha | Conference Paper |
2018 | Improvement of persistent tracking in wide area motion imagery by CNN-based motion detections
Hartung, C.; Spraul, Raphael; Krüger, Wolfgang | Conference Paper |
2018 | An integrated deep neural network for defect detection in dynamic textile textures
Siegmund, Dirk; Prajapati, Ashok; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2018 | Kognitive Systeme und Robotik: Intelligente Datennutzung für autonome Systeme
Bauckhage, Christian; Bauernhansl, Thomas; Beyerer, Jürgen; Garcke, Jochen | Book Article |
2018 | A light and faster regional convolutional neural network for object detection in optical remote sensing images
Ding, Peng; Zhang, Ye; Deng, Wei-Jian; Jia, Ping; Kuijper, Arjan | Journal Article |
2018 | Local forecasting for predictive smart home/object control
Arnoldt, Alexander; Leinweber, Leon; Guerra, Thiago Koh | Conference Paper |
2018 | Luftschallbasierte Rissdetektion von Metallteilen
Liebetrau, Judith; Grollmisch, Sascha; Nowak, Johannes | Conference Paper |
2018 | Machine learning methods for remote sensing applications: An overview
Schulz, Karsten; Hänsch, Ronny; Sörgel, Uwe | Conference Paper |
2018 | Methoden zur Sofortpreiskalkulation von CNC-Drehteilen: Entwicklung und Bewertung der Anwendbarkeit von Algorithmen und prädiktiven Machine-Learning-Modellen
Eberl, Andreas; Fallert, Benedikt; Kiefer, Daniel; Leuschner, David; Mastroianni, Lisa; Richter, Patrick; Tittelbach, Frederik; Braun, Anja; Lucke, Dominik; Ohlhausen, Peter; Palm, Daniel | Journal Article |
2018 | Mit maschinellem Lernen zur intelligenten Produktion: Vortrag gehalten auf dem Technologietag, 9. Oktober 2018, Erfurt
Grollmisch, Sascha | Presentation |
2018 | MorGAN: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Generative Adversarial Network
Damer, Naser; Moseguí Saladié, Alexandra; Braun, Andreas; Kuijper, Arjan | Conference Paper |
2018 | A novel Bayesian model incorporating deep neural network and statistical shape model for pancreas segmentation
Ma, Jingting; Lin, Feng; Wesarg, Stefan; Erdt, Marius | Conference Paper |
2018 | Objekterkennung und -verortung in Luftbildaufnahmen für Such- und Rettungseinsätze mittels neuronaler Faltungsnetzwerke
Leinweber, Artur; Surmann, Hartmut; Worst, Rainer | Bachelor Thesis |
2018 | Optimisation Method for the Clear Sky PV Forecast Using Power Records from Arbitrarily Oriented Panels
Thomas, Jorge A. | Conference Paper |
2018 | Optimisation of manufacturing process parameters using deep neural networks as surrogate models
Pfrommer, J.; Zimmerling, C.; Liu, J.; Kärger, L.; Henning, F.; Beyerer, J. | Journal Article |
2018 | OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis: First International Workshop, OR 2.0 2018, 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, Third International Workshop, ISIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings
Stoyanov, Danail (Ed.); Taylor, Zaike (Ed.); Sarikaya, Duygu (Ed.); McLeod, Jonathan (Ed.); González Ballester, Miguel Angel (Ed.); Codella, Noel C.F. (Ed.); Martel, Anne (Ed.); Maier-Hein, Lena (Ed.); Malpani, Anand (Ed.); Zenati, Marco A. (Ed.); Ribaupierre, Sandrine de (Ed.); Xiongbiao, Luo (Ed.); Collins, Toby (Ed.); Reichl, Tobias (Ed.); Drechsler, Klaus (Ed.); Erdt, Marius (Ed.); Linguraru, Marius George (Ed.); Oyarzun Laura, Cristina (Ed.); Shekhar, Raj (Ed.); Wesarg, Stefan (Ed.); Celebi, M. Emre (Ed.); Dana, Kristin (Ed.); Halpern, Allan (Ed.) | Conference Proceedings |
2018 | Planning [Pl]
Cirullies, Jan; Pikus, Yevgen; Schnakenburg, Igor; Plumbaum, Till | Book Article |
2018 | Predicting observer's task from eye movement patterns during motion image analysis
Hild, Jutta; Voit, Michael; Kühnle, Christian; Beyerer, Jürgen | Conference Paper |
2018 | Proactive support for conceptual interoperability analysis of software units
Abukwaik, Hadil; Rombach, Dieter; Reussner, R.; Deßloch, S. | Dissertation |
2018 | Resolving Classifcation Ambiguities in Convolutional Neural Networks Using Hierarchical Structures
Albadawi, Mohamad; Lukas, Uwe von (Supervising professor); Krause, Tom (Tutor) | Master Thesis |
2018 | Search Area Reduction Fast-RCNN for Fast Vehicle Detection in Large Aerial Imagery
Sommer, L.; Schmidt, N.; Schumann, Arne; Beyerer, Jürgen | Conference Paper |
2018 | Semi-automated unsupervised learning from system traces: Presentation held at VDI-Vortragsabend "Künstliche Intelligenz in der Automatisierungstechnik", 15.10.2018, am Fraunhofer-Institut für Eingebettete Systeme und Kommunikationstechnik ESK, München
Salvi, Aniket | Presentation |
2018 | Smart Energy Hub. Smart-Data-Plattform für das prognose- und marktbasierte Energiemanagement von Infrastrukturbetreibern und Energieverbünden auf Basis von Sensordaten
Babel, Robin; Dukino, Claudia; Gauss, Armin; Häfele, Michael; Härle, Julia; Krause, Tobias; Pohl, Verena; Sawall, Helen; Scheuriker, Andreas; Schmidt, Felix; Siehler, Elias; Sivorotka, Filippos; Stetter, Daniel; Stolle, Peter; Zech, Daniel; Zindler, Oliver; Renner, Thomas (Hrsg.); Reuter, Albrecht (Hrsg.); Schlenzig, Christoph (Hrsg.); Wagner, Holm (Hrsg.); Wagner, Siedfried (Hrsg.) | Study |
2018 | Systematic evaluation of deep learning based detection frameworks for aerial imagery
Sommer, L.; Steinmann, L.; Schumann, Arne; Beyerer, Jürgen | Conference Paper |
2018 | Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty
Kläs, Michael; Vollmer, Anna Maria | Conference Paper |
2018 | VIAL: a unified process for visual interactive labeling
Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang | Journal Article |
2018 | Welcome from the Organizers
Groen, Eduard C.; Harrison, Rachel; Murukannaiah, Pradeep K.; Vogelsang, Andreas | Conference Paper |
2017 | Anomaly detection in industrial networks using machine learning: A roadmap
Meshram, A.; Haas, Christian | Conference Paper |
2017 | Approaches and challenges in the visual-interactive comparison of human motion data
Bernard, Jürgen; Vögele, Anna; Klein, Reinhard; Fellner, Dieter W. | Conference Paper |
2017 | Automatic analysis of facial expressions in an advertising test with Chinese respondents
Dieckmann, Anja; Unfried, Matthias; Garbas, Jens; Mortillaro, Marcello | Report |
2017 | CapSoles: Who Is Walking on What Kind of Floor?
Matthies, Denys J.C.; Roumen, Thijs; Kuijper, Arjan; Urban, Bodo | Conference Paper |
2017 | Combining cluster and outlier analysis with visual analytics
Bernard, Jürgen; Dobermann, Eduard; Sedlmair, Michael; Fellner, Dieter W. | Conference Paper |
2017 | Cumulative arguments in artificial intelligence and informal logic
Walton, Douglas; Gordon, Thomas | Journal Article |
2017 | Deep cross-domain flying object classification for robust UAV detection
Schumann, A.; Sommer, L.; Klatte, J.; Schuchert, Tobias; Beyerer, Jürgen | Conference Paper |
2017 | Deep learning based multi-category object detection in aerial images
Sommer, L.W.; Schuchert, Tobias; Beyerer, Jürgen | Conference Paper |
2017 | Design and prototyping of self-learning methods for semi-automated model creation as a reference behavior in distributed embedded system
Salvi, Aniket; Potluri, Sasanka (Supervisor); Stiller, Michael (Supervisor) | Master Thesis |
2017 | E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time
Havas, C.; Resch, B.; Francalanci, C.; Pernici, B.; Scalia, G.; Fernandez-Marquez, J.L.; Achte, T. Van; Zeug, G.; Mondardini, M.R.R.; Grandoni, D.; Kirsch, B.; Kalas, M.; Lorini, V.; Rüping, S. | Journal Article |
2017 | Emotion detection by evaluating activities for smart home appliances
Joshi, Dhanashree Jayant; Kuijper, Arjan (1. Gutachten); Rus, Silvia (2. Gutachten) | Master Thesis |
2017 | Fiber defect detection of inhomogeneous voluminous textiles
Siegmund, Dirk; Samartzidis, Timotheos; Fu, Biying; Braun, Andreas; Kuijper, Arjan | Conference Paper |
2017 | Initialisierung des Trackings mit Hilfe von Machine-Learning-Verfahren: (TP 3.1)
Wientapper, Folker; Wuest, Harald; Becker, Mario; Engelke, Timo; Haske, Leon; Bockholt, Ulrich | Book Article |
2017 | IT-Plattformen für das Internet der Dinge (IoT): Basis intelligenter Produkte und Services
Krause, Tobias; Strauß, Oliver; Scheffler, Gabriele; Kett, Holger; Lehmann, Kristian; Renner, Thomas | Study |
2017 | Know thy neighbor - a data-driven approach to neighborhood estimation in VANETs
Roscher, Karsten; Nitsche, Thomas; Knorr, Rudi | Conference Paper |
2017 | Licht bringen in die Datenkugel
Klaiber, Stefan | Journal Article |
2017 | Machine Learning für die Smarte Produktion
Ernis, Gunar; Kamp, Michael | Journal Article |
2017 | Movies tags extraction using deep learning
Khan, Umair Ali; Ejaz, Naveed; Martinez-del-Amor, Miguel A.; Sparenberg, Heiko | Conference Paper |
2017 | Noise-insensitive no-reference image blur estimation by convolutional neural networks
Wegner, Daniel; Körber, Michael; Repasi, Endre | Conference Paper |
2017 | Online Learning Verfahren für markerloses Tracking: (TP 3.2)
Wientapper, Folker; Wuest, Harald; Becker, Mario; Engelke, Timo; Haske, Leon; Bockholt, Ulrich | Book Article |
2017 | Person re-identification across aerial and ground-based cameras by deep feature fusion
Schumann, A.; Metzler, Jürgen | Conference Paper |
2017 | Projecting our past to the future - challenges and results: The case of Asinou church
Papaefthymiou, M.; Nikolakopoulou, V.; Leventis, G.; Domajnko, Matevz; Ioannides, M.; Papagiannakis, G.; Santos, Pedro | Conference Paper |
2017 | Steps towards question answering with deep neural memory networks
Ahmed, Sajawel; Zicari, Roberto V.; Kindermann, Jörg | Master Thesis |
2017 | Surface acoustic arrays to analyze human activities in smart environments
Mettel, Matthias Ruben; Kuijper, Arjan (1. Gutachten); Braun, Andreas (2. Gutachten) | Master Thesis |
2017 | Towards a surgical phase detection using Markov Logic Networks
Philipp, P.; Bleier, J.; Fischer, Yvonne; Beyerer, Jürgen | Conference Paper |
2017 | Training nuclei detection algorithms with simple annotations
Kost, H.; Homeyer, A.; Molin, J.; Lundström, C.; Hahn, H.K. | Journal Article |
2017 | A unified process for visual-interactive labeling
Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang | Conference Paper |
2017 | Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Setio, A.A.A.; Traverso, A.; Bel, T. de; Berens, M.S.N.; Bogaard, C. van den; Cerello, P.; Chen, H.; Dou, Q.; Fantacci, M.E.; Geurts, B.; Gugten, R.V.D.; Heng, P.A.; Jansen, B.; Kaste, M.M.J. de; Kotov, V.; Lin, J.Y.-H.; Manders, J.T.M.C.; Sóñora-Mengana, A.; García-Naranjo, J.C.; Papavasileiou, E.; Prokop, M.; Saletta, M.; Schaefer-Prokop, C.M.; Scholten, E.T.; Scholten, L.; Snoeren, M.M.; Torres, E.L.; Vandemeulebroucke, J.; Walasek, N.; Zuidhof, G.C.A.; Ginneken, B. van; Jacobs, C. | Journal Article |
2017 | Visual-interactive semi-supervised labeling of human motion capture data
Bernard, Jürgen; Dobermann, Eduard; Vögele, Anna; Krüger, Björn; Kohlhammer, Jörn; Fellner, Dieter W. | Conference Paper |
2017 | Zukunftsmarkt Künstliche Intelligenz. Potenziale und Anwendungen
Hecker, Dirk; Döbel, Inga; Petersen, Ulrike; Rauschert, André; Schmitz, Velina; Voss, Angelika | Study |
2017 | Zukunftsstudie 2027 #ichinzehnjahren: Wie aktuelle Technologien und Entwicklungen unsere Lebenswelten verändern
Pohl, Verena; Kasper, Harriet; Kochanowski, Monika; Renner, Thomas | Study |
2016 | AAC encoding detection and bitrate estimation using a convolutional neural network
Seichter, Daniel; Cuccovillo, Luca; Aichroth, Patrick | Conference Paper |
2016 | Adaptive semantics visualization
Nazemi, Kawa | Dissertation |
2016 | Automatic classification of cornea tissues for autofocus algorithm
Bartschat, Andreas; Kuijper, Arjan (Gutachter) | Master Thesis |
2016 | CEML: Mixing and moving complex event processing and machine learning to the edge of the network for IoT applications
José Ángel, Carvajal Soto; Jentsch, Marc; Preuveneers, Davy; Ilie-Zudor, Elisabeth | Conference Paper |
2016 | Computational Models of Argument: Proceedings of COMMA 2016, 6th International Conference on Computational Models of Argument, September 13th-16th 2016, Potsdam
Baroni, Pietro (Ed.); Gordon, Thomas F. (Ed.); Scheffler, Tatjana (Ed.); Stede, Manfred (Ed.) | Conference Proceedings |
2016 | Deep person re-identification in aerial images
Schumann, A.; Schuchert, Tobias | Conference Paper |
2016 | Entwicklung eines Klassifikationsansatzes zur Segmenterkennung im SPNV auf Grundlage von mobilen Sensordaten
Keil, Wolfram; Michler, Oliver; Balzer, Paul (Betreuer); Pretzsch, Sebastian | Thesis |
2016 | Entwicklung und Evaluierung eines Systems zur bildbasierten Detektion von Fehlern in Stoffen
Zeltser, Anton; Kuijper, Arjan (1. Gutachten); Kähm, Olga (2. Gutachten) | Master Thesis |
2016 | Exploring machine learning object classification for interactive proximity surfaces
Braun, Andreas; Alekseew, Michael; Kuijper, Arjan | Conference Paper |
2016 | Extracting conceptual interoperability constraints from API documentation using machine learning
Abukwaik, Hadil; Abujayyab, Mohammed; Humayoun, Shah Rukh; Rombach, H. Dieter | Conference Paper |
2016 | Language modeling using semantic web & neural networks
Bhardwaj, Pallavi | Master Thesis |
2016 | Stereo-image normalization of voluminous objects improves textile defect recognition
Siegmund, Dirk; Kuijper, Arjan; Braun, Andreas | Conference Paper |
2016 | Towards seamless analysis of software interoperability: Automatic identification of conceptual constraints in API documentation
Abukwaik, Hadil; Abujayyab, Mohammed; Rombach, H. Dieter | Conference Paper |
2016 | Visual-interactive segmentation of multivariate time series
Bernard, Jürgen; Dobermann, Eduard; Bögl, Markus; Röhlig, Martin; Vögele, Anna; Kohlhammer, Jörn | Conference Paper |
2015 | Acoustic tracking of hand activities on surfaces
Braun, Andreas; Krepp, Stefan; Kuijper, Arjan | Conference Paper |
2015 | Automatic texture and orthophoto generation from registered panoramic views
Krispel, Ulrich; Evers, Henrik Leander; Tamke, Martin; Viehauser, Robert; Fellner, Dieter W. | Conference Paper |
2015 | Bewertung des Kommunikationsverhaltens eingebetteter Systeme mit Hilfe selbstlernender Verfahren
Langer, Falk; Knorr, Rudi (Erstgutachter); Knapp, Alexander (Zweitgutachter) | Dissertation |
2015 | Challenges in representation learning: A report on three machine learning contests
Goodfellow, Ian J.; Erhan, Dumitru; Carrier, Pierre Luc; Courville, Aaron; Mirza, Mehdi; Hamner, Ben; Cukierski, Will; Tang, Yichuan; Thaler, David; Lee, Dong-Hyun; Zhou, Yingbo; Ramaiah, Chetan; Feng, Fangxiang; Li, Ruifan; Wang, Xiaojie; Athanasakis, Dimitris; Shawe-Taylor, John; Milakov, Maxim; Park, John; Ionescu, Radu; Popescu, Marius; Grozea, Cristian; Bergstra, James; Xie, Jingjing; Romaszko, Lukasz; Xu, Bing; Chuang, Zhang; Bengio, Yoshua | Journal Article |
2015 | Cloud-based event detection platform for water distribution networks using machine-learning algorithms
Kühnert, Christian; Baruthio, M.; Bernard, Thomas; Steinmetz, C.; Weber, J.-M. | Journal Article |
2015 | Data-driven anomaly detection in cyber-physical production systems
Niggemann, Oliver; Frey, Christian | Journal Article |
2015 | Design, implementation, and assessment of predictive cognitive channel access for industrial communication in the 2.4 GHz ISM band
Pant, Dheeraj; Mähönen, Petri (Supervisor); Petrova, Marina (Supervisor); Achtzehn, Andreas (Supervisor); Saad, Ahmad (Supervisor) | Master Thesis |
2015 | Evaluation of statistical methods for the evaluation of observer trials for the assessment of the effectiveness of signature measures
Dunau, Patrick; Fitz, Daniel; Stein, Karin | Conference Paper |
2015 | ExerSeat - sensor-supported exercise system for ergonomic microbreaks
Braun, Andreas; Schembri, Ingrid; Frank, Sebastian | Conference Paper |
2015 | Generative training for 3D-retrieval
Grabner, Harald; Ullrich, Torsten; Fellner, Dieter W. | Conference Paper |
2015 | Hochpräzise Algorithmen zur Detektion von Armen für Interaktionssysteme aus kapazitiven Abstandssensoren
Alekseew, Michael; Kuijper, Arjan (1. Gutachter); Braun, Andreas (2. Gutachter) | Master Thesis |
2015 | Large scale classification of spectral signatures
Richter, M.; Längle, Thomas; Beyerer, Jürgen | Journal Article |
2015 | Weighted integration of neighbors distance ratio in multi-biometric fusion
Damer, Naser; Nouak, Alexander | Conference Paper |
2014 | Denkverbote für Star-Trek-Computer?
Türpe, Sven; Selzer, Annika; Poller, Andreas; Bedner, Mark | Journal Article |
2014 | A self-learning approach for validation of communication in embedded systems
Langer, Falk; Oswald, Erik | Conference Paper |
2014 | Sixth sense - air traffic control prediction scenario augmented by sensors
Silva, Nelson; Settgast, Volker; Eggeling, Eva; Grill, Florian; Zeh, Theodor; Fellner, Dieter W. | Conference Paper |
2014 | Unsichtbare Erkennung von Berührungen über akustisches Tracking
Krepp, Stefan; Kuijper, Arjan (Gutachter); Braun, Andreas (Betreuer) | Master Thesis |
2014 | User similarity and deviation analysis for adaptive visualizations
Nazemi, Kawa; Retz, Wilhelm; Kohlhammer, Jörn; Kuijper, Arjan | Conference Paper |
2014 | Water quality supervision of distribution networks based on machine learning algorithms and operator feedback
Kühnert, Christian; Bernard, Thomas; Montalvo Arango, R.; Nitsche, R. | Journal Article |
2013 | Challenges in representation learning: A report on three machine learning contests
Goodfellow,Ian J.; Erhan, Dumitru; Carrier, Pierre Luc; Courville, Aaron C.; Mirza, Mehdi; Hamner, Benjamin; Cukierski, William; Tang, Yichuan; Thaler, David; Lee, Dong-Hyun; Zhou, Yingbo; Ramaiah, Chetan; Feng, Fangxiang; Li, Ruifan; Wang, Xiaojie; Athanasakis, Dimitris; Shawe-Taylor, John; Milakov, Maxim; Park, John; Ionescu, Radu-Tudor; Popescu, Marius; Grozea, Cristian; Bergstra, James; Xie, Jingjing; Romaszko, Lukasz; Xu, Bing; Zhang, Chuang; Bengio, Yoshua | Report |
2013 | Challenges in representation learning: A report on three machine learning contests
Goodfellow, Ian J.; Erhan, Dumitru; Carrier, Pierre Luc; Courville, Aaron C.; Mirza, Mehdi; Hamner, Benjamin; Cukierski, William; Tang, Yichuan; Thaler, David; Lee, Dong-Hyun; Zhou, Yingbo; Ramaiah, Chetan; Feng, Fangxiang; Li, Ruifan; Wang, Xiaojie; Athanasakis, Dimitris; Shawe-Taylor, John; Milakov, Maxim; Park, John; Ionescu, Radu-Tudor; Popescu, Marius; Grozea, Cristian; Bergstra, James; Xie, Jingjing; Romaszko, Lukasz; Xu, Bing; Zhang, Chuang; Bengio, Yoshua | Conference Paper |
2013 | An efficient knowledge based system for the prediction of the technical feasibility of sheet metal forming processes
Steffes-lai, Daniela; Turck, Sven; Klimmek, Christian; Clees, Tanja | Conference Paper |
2013 | Fitpit - fitness cockpit: Information system to optimize training schedules in rehabilitation
Meister, Sven; Schafer, Sven; Stahlmann, Valentin; Wilking, Tim; Kandyba, Andriy | Conference Paper |
2013 | Introducing the Carneades web application
Gordon, Thomas F. | Conference Paper |
2013 | Maschinelles Lernen, Mustererkennung in der Bildverarbeitung
Binder, Alexander; Meinecke, Frank C.; Bießmann, Felix; Kawanabe, Motoaki; Müller, Klaus-Robert | Book Article |
2013 | Model-based pancreas segmentation in portal venous phase contrast-enhanced CT images
Hammon, Matthias; Cavallaro, Alexander; Erdt, Marius; Dankerl, Peter; Kirschner, Matthias; Drechsler, Klaus; Wesarg, Stefan; Uder, Michael; Janka, Rolf | Journal Article |
2013 | Synaptic behavior and STDP of asymmetric nanoscale memristors in biohybrid systems
Williamson, A.; Schumann, L.; Hiller, L.; Klefenz, F.; Hoerselmann, I.; Husar, P.; Schober, A. | Journal Article |
2013 | Time Series Forecasting using Sparse Grids
Garcke, J.; Gerstner, T.; Griebel, M. | Study |
2013 | A well-posed parameter-free model for nonlinear diffusion and its applications in mobile image processing
Thürck, Daniel; Kuijper, Arjan (Supervisor) | Bachelor Thesis |
This publication list has been generated from the publication database Fraunhofer-Publica.