Jahr | Titel/Autor | Dokumentart |
---|---|---|
2021 | Grundlagen des Maschinellen Lernens
Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard; Rüping, Stefan | Aufsatz in Buch |
2021 | Information modeling and knowledge extraction for machine learning applications in industrial production systems
Windmann, Stefan; Kühnert, Christian | Konferenzbeitrag |
2021 | Supported Decision-Making by Explainable Predictions of Ship Trajectories
Burkart, Nadia; Huber, Marco; Anneken, Mathias | Konferenzbeitrag |
2021 | tanh Neurons are Bayesian Decision Makers
Bauckhage, Christian; Sifa, Rafet; Hecker, Dirk | Konferenzbeitrag |
2020 | Absicherung von Machine-Learning-Verfahren in sicherheitskritischen Systemen: Vortrag gehalten auf dem Forum Künstliche Intelligenz, Stuttgart, 14.05.2020
Schwaiger, Adrian | Vortrag |
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 | Zeitschriftenaufsatz |
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 | Zeitschriftenaufsatz |
2020 | An Approach to Near-lossless Hyperspectral Data Compression using Deep Autoencoder
Küster, Jannik; Groß, Wolfgang; Middelmann, Wolfgang | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
2020 | Are you sure? Prediction revision in automated decision-making
Burkart, Nadia; Robert, Sebastian; Huber, Marco | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
2020 | Batch-wise Regularization of Deep Neural Networks for Interpretability
Burkart, Nadia; Faller, Philipp M.; Peinsipp, Elisabeth; Huber, Marco | Konferenzbeitrag |
2020 | Benchmarking Uncertainty Estimation Methods for Deep Learning with Safety-Related Metrics
Henne, Maximilian; Schwaiger, Adrian; Roscher, Karsten; Weiß, Gereon | Konferenzbeitrag |
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 | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
2020 | Compact Models for Periocular Verification Through Knowledge Distillation
Boutros, Fadi; Damer, Naser; Fang, Meiling; Raja, Kiran; Kirchbuchner, Florian; Kuijper, Arjan | Konferenzbeitrag |
2020 | Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models
Fenzl, Florian; Rieke, Roland; Chevalier, Y.; Dominik, A.; Kotenko, I. | Zeitschriftenaufsatz |
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 | Deep Learning Based Model Predictive Control for a Reverse Osmosis Desalination Plant
Karimanzira, Divas; Rauschenbach, Thomas | Zeitschriftenaufsatz |
2020 | Deep Learning Multi-layer Fusion for an Accurate Iris Presentation Attack Detection
Fang, Meiling; Damer, Naser; Boutros, Fadi; Kirchbuchner, Florian; Kuijper, Arjan | Konferenzbeitrag |
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 | Tagungsband |
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 | Zeitschriftenaufsatz |
2020 | Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines
Hranisavljevic, Nemanja; Maier, Alexander; Niggemann, Oliver | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
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 | Konferenzbeitrag |
2020 | Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
Mimilakis, Stylianos Ioannis; Drossos, Konstantinos; Cano, Estefanía; Schuller, Gerald | Zeitschriftenaufsatz |
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. | Konferenzbeitrag |
2020 | Fast and Accurate DRAM Simulation: Can we Further Accelerate it?
Feldmann, Johannes; Kraft, Kira; Steiner, Lukas; Wehn, Norbert; Jung, Matthias | Konferenzbeitrag |
2020 | Flexilient End-to-End Architectures: Flexibility, Intelligence and Resilience for Dependable Cloud-based Cyber-Physical Systems
Drabek, Christian; Kosmalska, Anna; Friedmann, Miriam (Ed.) | Bericht |
2020 | Forum Bildverarbeitung 2020: 26. und 27. November 2020, Karlsruhe, Online-Konferenz
Heizmann, Michael (Hrsg.); Längle, Thomas (Hrsg.) | Tagungsband |
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 | Jahresbericht |
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 | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
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 | Bericht |
2020 | Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection?
Schwaiger, Adrian; Sinhamahapatra, Poulami; Gansloser, Jens; Roscher, Karsten | Konferenzbeitrag |
2020 | Issue Based OCR Error Prediction in Video Streams
Siegmund, Dirk; Sacco, Luís Rüger; Kuijper, Arjan | Konferenzbeitrag |
2020 | Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion
Niggemann, Oliver; Biswas, Gautam; Kinnebrew, John S.; Hranisavljevic, Nemanja; Bunte, Andreas | Aufsatz in Buch |
2020 | Künstliche Intelligenz anwenden: Einsatzmöglichkeiten und Methoden
Dukino, Claudia; Kötter, Falko; Müller, Tobias; Renner, Thomas; Zaiser, Helmut | Bericht |
2020 | Künstliche Intelligenz im Krankenhaus: Potenziale und Herausforderungen - Eine Fallstudie im Bereich der Notfallversorgung
Antweiler, Dario; Beckh, Katharina; Sander, Jil; Rüping, Stefan | Studie |
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.) | Studie |
2020 | Künstliche Intelligenz in sicherheitskritischen Anwendungen: Vortrag gehalten im Rahmen des Bitkom AI Research Network, Virtuelles Event, 29.05.2020
Trapp, Mario | Vortrag |
2020 | A Landscape Analysis of Standardisation in the Field of Artificial Intelligence
Ziegler, Wolfgang | Zeitschriftenaufsatz |
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 | Zeitschriftenaufsatz |
2020 | Machine learning for discovery analytics to support criminal investigations
Müller, Wilmuth; Pallmer, Dirk; Mühlenberg, Dirk; Loumiotis, Ioannis; Remoundou, Konstantina; Kosmides, Pavlos; Demestichas, Konstantinos | Konferenzbeitrag |
2020 | Machine Learning in sicherheitskritischen Systemen: Aktuelle Probleme und Möglichkeiten der Absicherung
Schwaiger, Adrian | Konferenzbeitrag |
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. | Konferenzbeitrag |
2020 | Object Detection in Sonar Images
Karimanzira, Divas; Renkewitz, Helge; Shea, David; Albiez, Jan | Zeitschriftenaufsatz |
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 | Zeitschriftenaufsatz |
2020 | PathME: Pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data
Lemsara, Amina; Ouadfel, Salima; Fröhlich, Holger | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
2020 | Person Re-identification in a Car Seat
Nottebaum, Moritz; Kuijper, Arjan (1. Review); Rus, Silvia (2. Review) | Bachelor Thesis |
2020 | Predictive Analysis of Business Processes Using Neural Networks with Attention Mechanism
Philipp, Patrick; Jacob, Ruben; Robert, Sebastian; Beyerer, Jürgen | Konferenzbeitrag |
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 | Konferenzbeitrag |
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 | Konferenzbeitrag |
2020 | Reducing Deep Face Recognition Model Size by Knowledge Distillation
Klemt, Marcel; Kuijper, Arjan (1. Review); Boutros, Fadi (2. Review) | Bachelor Thesis |
2020 | Richtung Zukunft. Online resource: Potenziale Kognitiver Dienstleistungssysteme
Bauer, Wilhelm; Bienzeisler, Bernd; Riedel, Oliver | Buch |
2020 | SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures
Aslansefat, Koorosh; Sorokos, Ioannis; Whiting, Declan; Tavakoli Kolagari, Ramin; Papadopoulos, Yiannis | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
2020 | Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery
Hermann, Max; Ruf, Boitumelo; Weinmann, Martin; Hinz, Stefan | Konferenzbeitrag |
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.) | Studie |
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 | Konferenzbeitrag |
2020 | Time-unfolding Object Existence Detection in Low-quality Underwater Videos using Convolutional Neural Networks
Tödtmann, Helmut; Vahl, Matthias; Lukas, Uwe von; Ullrich, Torsten | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
2020 | Transforming Seismocardiograms into Electrocardiograms by Applying Convolutional Autoencoders
Haescher, Marian; Hoepfner, Florian; Chodan, Wencke; Kraft, Dimitri; Aehnelt, Mario; Urban, Bodo | Konferenzbeitrag |
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 | Vortrag |
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.) | Bericht |
2020 | Vibroarthrography using Convolutional Neural Networks
Kraft, Dimitri; Bieber, Gerald | Konferenzbeitrag |
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. | Konferenzbeitrag |
2020 | Wie hört sich Qualität im industriellen Kontext an? Der Puck macht "pling"!
Kepplinger, Sara; Krüger, Tobias | Zeitschriftenaufsatz |
2020 | Wireless sensor network for AI-based flood disaster detection
Al Qundus, Jamal; Dabbour, Kosai; Gupta, Shivam; Meissonier, Régis; Paschke, Adrian | Zeitschriftenaufsatz |
2020 | Zustellarbeit 4.0 - eine 360-Grad-Analyse: Leitfragen zur Entwicklung der Zustellarbeit am Beispiel der KEP-Branche
Bienzeisler, Bernd; Zanker, Claus | Studie |
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 | Konferenzbeitrag |
2019 | Applicability of AI methods to JISR resource planning
Rodenbeck, Roland; Reinert, Frank; Sander, Jennifer; Jackwerth, Andre | Konferenzbeitrag |
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" | Bericht |
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 | Zeitschriftenaufsatz |
2019 | Big Data, IOT und Machine Learning - Neue Perspektiven für Lastdaten und Schadensvorhersagen
Tiesler, H.; Messmer, M.; Paul, N.; Sicking, J. | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
2019 | Comparison of Angle and Size Features with Deep Learning for Emotion Recognition
Dunau, Patrick; Huber, Marco; Beyerer, Jürgen | Konferenzbeitrag |
2019 | Comprehensive Analysis of Deep Learning-based Vehicle Detection in Aerial Images
Sommer, L.; Schuchert, Tobias; Beyerer, Jürgen | Zeitschriftenaufsatz |
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 | Zeitschriftenaufsatz |
2019 | Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems
Balzereit, Kaja; Maier, Alexander; Barig, Björn; Hutschenreuther, Tino; Niggemann, Oliver | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
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 | Studie |
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) | Diplomarbeit |
2019 | Forcing Interpretability for Deep Neural Networks through Rule-based Regularization
Burkart, Nadia; Huber, Marco; Faller, Philipp M. | Konferenzbeitrag |
2019 | Forecasting of wind power curtailment events
Koch, Jonas; Jost, Dominik; Braun, Axel; Dobschinsik, Jan | Konferenzbeitrag |
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 | Konferenzbeitrag |
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 | Jahresbericht |
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 | Jahresbericht |
2019 | Fraunhofer-Institut für Kognitive Systeme. Jahresbericht 2018/2019
Hengl, Hans-Thomas (Red.); Wardenburg, Eva von (Red.) ; Fraunhofer-Institut für Kognitive Systeme -IKS-, München | Jahresbericht |
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 | Jahresbericht |
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 | Zeitschriftenaufsatz |
2019 | Handling Work Complexity with AR/Deep Learning
Dhiman, Hitesh; Büttner, Sebastian; Röcker, Carsten; Reisch, Raphael | Konferenzbeitrag |
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 | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
2019 | Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-task Learning
Kassawat, Firas; Chaudhuri, Debanjan; Lehmann, Jens | Konferenzbeitrag |
2019 | KI - Eine Aufgabe für das ganze Unternehmen
Urbach, Nils; Hofmann, Peter; Protschky, Dominik | Aufsatz in Buch |
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. | Bericht |
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 | Konferenzbeitrag |
2019 | Managing Uncertainty of AI-based Perception for Autonomous Systems
Henne, Maximilian; Schwaiger, Adrian; Weiß, Gereon | Konferenzbeitrag |
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 | Bericht |
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 | Konferenzbeitrag |
2019 | An Overview of User Feedback Classification Approaches
Santos, Rubens; Groen, Eduard C.; Villela, Karina | Konferenzbeitrag |
2019 | Der Puck macht "pling"!
Kepplinger, Sara; Krüger, Tobias | Zeitschriftenaufsatz |
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 | Vortrag |
2019 | A review of machine learning for the optimization of production processes
Weichert, D.; Link, Patrick; Stoll, Anke; Rüping, S.; Ihlenfeldt, Steffen; Wrobel, S. | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
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 | Konferenzbeitrag |
2019 | Sounding Industry: Challenges and Datasets for Industrial Sound Analysis
Grollmisch, Sascha; Abeßer, Jakob; Liebetrau, Judith; Lukashevich, Hanna | Konferenzbeitrag |
2019 | A Study on Trust in Black Box Models and Post-hoc Explanations
El Bekri, Nadia; Kling, J.; Huber, M. | Konferenzbeitrag |
2019 | Suppressing Gender and Age in Face Templates Using Incremental Variable Elimination
Terhörst, Philipp; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Konferenzbeitrag |
2019 | Synthesis of Medical Images Using GANs
Middel, Laura; Palm, Christoph; Erdt, Marius | Konferenzbeitrag |
2019 | Szenario-Report: KI-basierte Arbeitswelten 2030
Burmeister, Klaus; Fink, Alexander; Mayer, Christina; Schiel, Andreas; Schulz-Montag, Beate | Bericht |
2019 | Towards Contradiction Detection in German: A Translation-Driven Approach
Sifa, Rafet; Pielka, Maren; Ramamurthy, Rajkumar; Ladi, Anna; Hillebrand, Lars; Bauckhage, Christian | Konferenzbeitrag |
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 | Konferenzbeitrag |
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 | Bericht |
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.) | Tagungsband |
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 | Konferenzbeitrag |
2019 | Underwater Color Restoration Using U-Net Denoising Autoencoder
Hashisho, Yousif; Albadawi, Mohamad; Krause, Tom; Lukas, Uwe von | Konferenzbeitrag |
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 | Vortrag |
2019 | Use of AI-Based Solutions in Safety-Critical Applications: Presentation held at FutureCar Innovation Network Meeting, 22.-23.10.2019, Wien
Seydel, Dominique | Vortrag |
2019 | Using neural networks to detect objects in MLS point clouds based on local point neighborhoods
Borgmann, Björn; Hebel, Marcus; Arens, Michael; Stilla, Uwe | Konferenzbeitrag |
2019 | Wind Power Forecasting Based on Deep Neural Networks and Transfer Learning
Vogt, Stephan; Braun, Axel; Dobschinski, Jan; Sick, Bernhard | Konferenzbeitrag |
2018 | 3D object classification and parameter estimation based on parametric procedural models
Getto, Roman; Fina, Kenten; Jarms, Lennart; Kuijper, Arjan; Fellner, Dieter W. | Konferenzbeitrag |
2018 | Aesthetic discrimination of graph layouts
Klammler, M.; Mchedlidze, T.; Pak, Alexey | Konferenzbeitrag |
2018 | Akustische Qualitätskontrolle mit künstlicher Intelligenz
Liebetrau, Judith; Grollmisch, Sascha; Clauß, Tobias | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
2018 | Automatic analysis of sewer pipes based on unrolled monocular fisheye images
Künzel, Johannes; Werner, Thomas; Eisert, Peter; Waschnewski, Jan; Möller, Ronja; Hilpert, Ralf | Konferenzbeitrag |
2018 | Automatic Mapping for OpenCL-Programs on CPU/GPU Heterogeneous Platforms
Moren, Konrad; Göhringer, Diana | Konferenzbeitrag |
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 | Konferenzbeitrag |
2018 | Comparing visual-interactive labeling with active learning: An experimental study
Bernard, Jürgen; Hutter, Marco; Zeppelzauer, Matthias; Fellner, Dieter W.; Sedlmair, Michael | Zeitschriftenaufsatz |
2018 | CrazyFaces: Unassisted Circumvention of Watchlist Face Identification
Damer, Naser; Wainakh, Yaza; Boller, Viola; Berken von den, Sven; Terhörst, Philipp; Braun, Andreas; Kuijper, Arjan | Konferenzbeitrag |
2018 | Deep Cross-Domain Building Extraction for Selective Depth Estimation from Oblique Aerial Imagery
Ruf, Boitumelo; Thiel, Laurenz; Weinmann, Martin | Konferenzbeitrag |
2018 | Defining argument weighing functions
Gordon, Thomas F. | Zeitschriftenaufsatz |
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 | Zeitschriftenaufsatz |
2018 | Exploring adversarial examples. Patterns of one-pixel attacks
Kügler, David; Distergoft, Alexander; Kuijper, Arjan; Mukhopadhyay, Anirban | Konferenzbeitrag |
2018 | An image processing pipeline for long range UAV detection
Schumann, Arne; Sommer, L.; Müller, Thomas; Voth, Sascha | Konferenzbeitrag |
2018 | Improvement of persistent tracking in wide area motion imagery by CNN-based motion detections
Hartung, C.; Spraul, Raphael; Krüger, Wolfgang | Konferenzbeitrag |
2018 | An integrated deep neural network for defect detection in dynamic textile textures
Siegmund, Dirk; Prajapati, Ashok; Kirchbuchner, Florian; Kuijper, Arjan | Konferenzbeitrag |
2018 | Kognitive Systeme und Robotik: Intelligente Datennutzung für autonome Systeme
Bauckhage, Christian; Bauernhansl, Thomas; Beyerer, Jürgen; Garcke, Jochen | Aufsatz in Buch |
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 | Zeitschriftenaufsatz |
2018 | Local forecasting for predictive smart home/object control
Arnoldt, Alexander; Leinweber, Leon; Guerra, Thiago Koh | Konferenzbeitrag |
2018 | Luftschallbasierte Rissdetektion von Metallteilen
Liebetrau, Judith; Grollmisch, Sascha; Nowak, Johannes | Konferenzbeitrag |
2018 | Machine learning methods for remote sensing applications: An overview
Schulz, Karsten; Hänsch, Ronny; Sörgel, Uwe | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
2018 | Mit maschinellem Lernen zur intelligenten Produktion: Vortrag gehalten auf dem Technologietag, 9. Oktober 2018, Erfurt
Grollmisch, Sascha | Vortrag |
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 | Konferenzbeitrag |
2018 | A novel Bayesian model incorporating deep neural network and statistical shape model for pancreas segmentation
Ma, Jingting; Lin, Feng; Wesarg, Stefan; Erdt, Marius | Konferenzbeitrag |
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. | Konferenzbeitrag |
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. | Zeitschriftenaufsatz |
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.) | Tagungsband |
2018 | Planning [Pl]
Cirullies, Jan; Pikus, Yevgen; Schnakenburg, Igor; Plumbaum, Till | Aufsatz in Buch |
2018 | Predicting observer's task from eye movement patterns during motion image analysis
Hild, Jutta; Voit, Michael; Kühnle, Christian; Beyerer, Jürgen | Konferenzbeitrag |
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 | Konferenzbeitrag |
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 | Vortrag |
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.) | Studie |
2018 | Systematic evaluation of deep learning based detection frameworks for aerial imagery
Sommer, L.; Steinmann, L.; Schumann, Arne; Beyerer, Jürgen | Konferenzbeitrag |
2018 | Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty
Kläs, Michael; Vollmer, Anna Maria | Konferenzbeitrag |
2018 | VIAL: a unified process for visual interactive labeling
Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang | Zeitschriftenaufsatz |
2018 | Welcome from the Organizers
Groen, Eduard C.; Harrison, Rachel; Murukannaiah, Pradeep K.; Vogelsang, Andreas | Konferenzbeitrag |
2017 | Anomaly detection in industrial networks using machine learning: A roadmap
Meshram, A.; Haas, Christian | Konferenzbeitrag |
2017 | Approaches and challenges in the visual-interactive comparison of human motion data
Bernard, Jürgen; Vögele, Anna; Klein, Reinhard; Fellner, Dieter W. | Konferenzbeitrag |
2017 | Automatic analysis of facial expressions in an advertising test with Chinese respondents
Dieckmann, Anja; Unfried, Matthias; Garbas, Jens; Mortillaro, Marcello | Bericht |
2017 | CapSoles: Who Is Walking on What Kind of Floor?
Matthies, Denys J.C.; Roumen, Thijs; Kuijper, Arjan; Urban, Bodo | Konferenzbeitrag |
2017 | Combining cluster and outlier analysis with visual analytics
Bernard, Jürgen; Dobermann, Eduard; Sedlmair, Michael; Fellner, Dieter W. | Konferenzbeitrag |
2017 | Cumulative arguments in artificial intelligence and informal logic
Walton, Douglas; Gordon, Thomas | Zeitschriftenaufsatz |
2017 | Deep cross-domain flying object classification for robust UAV detection
Schumann, A.; Sommer, L.; Klatte, J.; Schuchert, Tobias; Beyerer, Jürgen | Konferenzbeitrag |
2017 | Deep learning based multi-category object detection in aerial images
Sommer, L.W.; Schuchert, Tobias; Beyerer, Jürgen | Konferenzbeitrag |
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. | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
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 | Aufsatz in Buch |
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 | Studie |
2017 | Know thy neighbor - a data-driven approach to neighborhood estimation in VANETs
Roscher, Karsten; Nitsche, Thomas; Knorr, Rudi | Konferenzbeitrag |
2017 | Licht bringen in die Datenkugel
Klaiber, Stefan | Zeitschriftenaufsatz |
2017 | Machine Learning für die Smarte Produktion
Ernis, Gunar; Kamp, Michael | Zeitschriftenaufsatz |
2017 | Movies tags extraction using deep learning
Khan, Umair Ali; Ejaz, Naveed; Martinez-del-Amor, Miguel A.; Sparenberg, Heiko | Konferenzbeitrag |
2017 | Noise-insensitive no-reference image blur estimation by convolutional neural networks
Wegner, Daniel; Körber, Michael; Repasi, Endre | Konferenzbeitrag |
2017 | Online Learning Verfahren für markerloses Tracking: (TP 3.2)
Wientapper, Folker; Wuest, Harald; Becker, Mario; Engelke, Timo; Haske, Leon; Bockholt, Ulrich | Aufsatz in Buch |
2017 | Person re-identification across aerial and ground-based cameras by deep feature fusion
Schumann, A.; Metzler, Jürgen | Konferenzbeitrag |
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 | Konferenzbeitrag |
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 | Konferenzbeitrag |
2017 | Training nuclei detection algorithms with simple annotations
Kost, H.; Homeyer, A.; Molin, J.; Lundström, C.; Hahn, H.K. | Zeitschriftenaufsatz |
2017 | A unified process for visual-interactive labeling
Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang | Konferenzbeitrag |
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. | Zeitschriftenaufsatz |
2017 | Visual-interactive semi-supervised labeling of human motion capture data
Bernard, Jürgen; Dobermann, Eduard; Vögele, Anna; Krüger, Björn; Kohlhammer, Jörn; Fellner, Dieter W. | Konferenzbeitrag |
2017 | Zukunftsmarkt Künstliche Intelligenz. Potenziale und Anwendungen
Hecker, Dirk; Döbel, Inga; Petersen, Ulrike; Rauschert, André; Schmitz, Velina; Voss, Angelika | Studie |
2017 | Zukunftsstudie 2027 #ichinzehnjahren: Wie aktuelle Technologien und Entwicklungen unsere Lebenswelten verändern
Pohl, Verena; Kasper, Harriet; Kochanowski, Monika; Renner, Thomas | Studie |
2016 | AAC encoding detection and bitrate estimation using a convolutional neural network
Seichter, Daniel; Cuccovillo, Luca; Aichroth, Patrick | Konferenzbeitrag |
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 | Konferenzbeitrag |
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.) | Tagungsband |
2016 | Deep person re-identification in aerial images
Schumann, A.; Schuchert, Tobias | Konferenzbeitrag |
2016 | Entwicklung eines Klassifikationsansatzes zur Segmenterkennung im SPNV auf Grundlage von mobilen Sensordaten
Keil, Wolfram; Michler, Oliver; Balzer, Paul (Betreuer); Pretzsch, Sebastian | Diplomarbeit |
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 | Konferenzbeitrag |
2016 | Extracting conceptual interoperability constraints from API documentation using machine learning
Abukwaik, Hadil; Abujayyab, Mohammed; Humayoun, Shah Rukh; Rombach, H. Dieter | Konferenzbeitrag |
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 | Konferenzbeitrag |
2016 | Towards seamless analysis of software interoperability: Automatic identification of conceptual constraints in API documentation
Abukwaik, Hadil; Abujayyab, Mohammed; Rombach, H. Dieter | Konferenzbeitrag |
2016 | Visual-interactive segmentation of multivariate time series
Bernard, Jürgen; Dobermann, Eduard; Bögl, Markus; Röhlig, Martin; Vögele, Anna; Kohlhammer, Jörn | Konferenzbeitrag |
2015 | Acoustic tracking of hand activities on surfaces
Braun, Andreas; Krepp, Stefan; Kuijper, Arjan | Konferenzbeitrag |
2015 | Automatic texture and orthophoto generation from registered panoramic views
Krispel, Ulrich; Evers, Henrik Leander; Tamke, Martin; Viehauser, Robert; Fellner, Dieter W. | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
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. | Zeitschriftenaufsatz |
2015 | Data-driven anomaly detection in cyber-physical production systems
Niggemann, Oliver; Frey, Christian | Zeitschriftenaufsatz |
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 | Konferenzbeitrag |
2015 | ExerSeat - sensor-supported exercise system for ergonomic microbreaks
Braun, Andreas; Schembri, Ingrid; Frank, Sebastian | Konferenzbeitrag |
2015 | Generative training for 3D-retrieval
Grabner, Harald; Ullrich, Torsten; Fellner, Dieter W. | Konferenzbeitrag |
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 | Zeitschriftenaufsatz |
2015 | Weighted integration of neighbors distance ratio in multi-biometric fusion
Damer, Naser; Nouak, Alexander | Konferenzbeitrag |
2014 | Denkverbote für Star-Trek-Computer?
Türpe, Sven; Selzer, Annika; Poller, Andreas; Bedner, Mark | Zeitschriftenaufsatz |
2014 | A self-learning approach for validation of communication in embedded systems
Langer, Falk; Oswald, Erik | Konferenzbeitrag |
2014 | Sixth sense - air traffic control prediction scenario augmented by sensors
Silva, Nelson; Settgast, Volker; Eggeling, Eva; Grill, Florian; Zeh, Theodor; Fellner, Dieter W. | Konferenzbeitrag |
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 | Konferenzbeitrag |
2014 | Water quality supervision of distribution networks based on machine learning algorithms and operator feedback
Kühnert, Christian; Bernard, Thomas; Montalvo Arango, R.; Nitsche, R. | Zeitschriftenaufsatz |
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 | Bericht |
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 | Konferenzbeitrag |
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 | Konferenzbeitrag |
2013 | Fitpit - fitness cockpit: Information system to optimize training schedules in rehabilitation
Meister, Sven; Schafer, Sven; Stahlmann, Valentin; Wilking, Tim; Kandyba, Andriy | Konferenzbeitrag |
2013 | Introducing the Carneades web application
Gordon, Thomas F. | Konferenzbeitrag |
2013 | Maschinelles Lernen, Mustererkennung in der Bildverarbeitung
Binder, Alexander; Meinecke, Frank C.; Bießmann, Felix; Kawanabe, Motoaki; Müller, Klaus-Robert | Aufsatz in Buch |
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 | Zeitschriftenaufsatz |
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. | Zeitschriftenaufsatz |
2013 | Time Series Forecasting using Sparse Grids
Garcke, J.; Gerstner, T.; Griebel, M. | Studie |
2013 | A well-posed parameter-free model for nonlinear diffusion and its applications in mobile image processing
Thürck, Daniel; Kuijper, Arjan (Supervisor) | Bachelor Thesis |
Diese Publikationsliste wurde aus der Publikationsdatenbank Fraunhofer-Publica erstellt.