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2021 | Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared Müller, David; Ehlen, Andreas; Valeske, Bernd | Journal Article |
2021 | Differential Equation Based Framework for Deep Reinforcement Learning Gottschalk, Simon | Dissertation |
2021 | Information modeling and knowledge extraction for machine learning applications in industrial production systems Windmann, Stefan; Kühnert, Christian | Conference Paper |
2021 | Machine Learning Based Preprocessing to Ensure Validity of Cross-Correlated Ultrasound Signals for Time-of-Flight Measurements Herter, Simon; Youssef, Sargon; Becker, Michael M.; Fischer, Sarah C.L. | Journal Article |
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 |
2020 | Absicherung von Machine-Learning-Verfahren in sicherheitskritischen Systemen 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, Conference Paper |
2020 | Acoustic Resonance Recognition of Coins Kraljevski, Ivan; Duckhorn, Frank; Ju, Yong Chul; Tschöpe, Constanze; Richter, Christian; Wolff, Matthias | Conference Paper |
2020 | Acoustic resonance testing of glass IV bottles Kraljevski, Ivan; Duckhorn, Frank; Ju, Yong Chul; Tschöpe, Constanze; Wolff, Matthias | Conference Paper |
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 | Automated machine learning for predictive quality in production Krauß, Jonathan; Machado Pacheco, Bruno; Zang, Hanno Maximilian; Schmitt, Robert Heinrich | Journal Article, 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 | Beyond Identity: What Information is Stored in Biometric Face Templates? Terhörst, Philipp; Fährmann, Daniel; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | A C Code Generator for Fast Inference and Simple Deployment of Convolutional Neural Networks on Resource Constrained Systems Urbann, Oliver; Camphausen, Simon; Moos, Arne; Schwarz, Ingmar; Kerner, Sören; Otten, Maximilian | Conference Paper |
2020 | Classification of challenging Laser-Induced Breakdown Spectroscopy soilsample data - EMSLIBS contest Vrábel, Jakub; Képeš, Erik; Duponchel, Ludovik; Motto-Ros, Vincent; Fabred, Cécile; Connemann, Sven; Schreckenberg, Frederik; Prasse, Paul; Riebe, Daniel; Junjuri, Rajendhar; Gundawarh, Manoj Kumar; Tan, Xiaofeng; Pořízka, Pavel; Kaiser, Jozef | Journal Article |
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 | 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 review of processing and classification techniques for images and spectra in microplastic research Cowger, Win; Gray, Andrew; Christiansen, Silke; DeFrond, Hannah; Deshpande, Ashok D.; Hemabessiere, Ludovic; Lee, Eunah; Mill, Leonid; Munno, Keenan; Oßmann, Barbara; Pittroff, Marco; Rochman, Chelsea; Sarau, George; Tarby, Shannon; Primpke, Sebastian | Journal Article |
2020 | The Crystal Growth Explorer: Real-Time Navigable 3D Visualization of Silicon Grains and Defect Related Data in Cast-Mono and Multicrystalline Bricks Schönauer, J.; Demant, M.; Trötschler, T.; Kovvali, A.S.; Schremmer, H.; Krenckel, P.; Riepe, S.; Rein, S. | Conference Paper |
2020 | Demographic Bias in Presentation Attack Detection of Iris Recognition Systems Fang, Meiling; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
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 | 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 | 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 | Forum Bildverarbeitung 2020 : 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 : 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.) | Annual Report |
2020 | Gathering of Process Data through Numerical Simulation for the Application of Machine Learning Prognosis Algorithms Jäckel, Mathias; Falk, Tobias; Georgi, Julius; Drossel, Welf-Guntram | Journal Article, Conference Paper |
2020 | A hybrid framework for bearing fault diagnosis using physics-guided neural networks Krupp, Lukas; Hennig, Andreas; Wiede, Christian; Grabmaier, Anton | Conference Paper |
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 | Investigation and Implementation of Machine Learning Algorithms for Condition Monitoring of Piezoelectrically Driven Micropumps Trautmann, Mauriz | Master Thesis |
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 | Issue Based OCR Error Prediction in Video Streams Siegmund, Dirk; Sacco, Luís Rüger; Kuijper, Arjan | Conference Paper |
2020 | Künstliche Intelligenz in sicherheitskritischen Anwendungen Trapp, Mario | Presentation |
2020 | Laufstall für künstliche Intelligenz Brehler, Marius | Journal Article |
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 Schwaiger, Adrian | Conference Paper |
2020 | Machine Learning revolutioniert die Bedarfsprognose Moroff, Nikolas Ulrich | Journal Article |
2020 | Machine Learning versus Statistical Methods in Demand Planning for Energy-Efficient Supply Chains Schreiber, Lukas; Moroff, Nikolas Ulrich | Conference Paper |
2020 | Machine learning, COVID-19 (2019-nCoV), and multi-OMICS Tárnok, Attila | Journal Article |
2020 | Methoden zur Absicherung von KI-basierten Perzeptionsarchitekturen in autonomen Systemen 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 | Micromagnetic Materials Characterization using Machine Learning - Progress in Nondestructive Prediction of Mechanical Properties of Steel and Iron Szielasko, Klaus; Wolter, Bernd; Tschuncky, Ralf; Youssef, Sargon | Journal Article |
2020 | Multi-scale X-ray tomography and machine learning algorithms to study MoNi4 electrocatalysts anchored on MoO2 cuboids aligned on Ni foam Topal, Emre; Liao, Zhongquan; Löffler, Markus; Gluch, Jürgen; Zhang, Jian; Feng, Xinliang; Zschech, Ehrenfried | 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 | 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 | 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 | 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 | 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 | Sensor evaluation for crack detection in concrete bridges Merkle, Dominik; Schmitt, Annette; Reiterer, Alexander | Conference Paper |
2020 | Short-term forecast of solar irradiance with convolutional neural networks and spatio-temporal information Aguilar Protti, Alexander | Master Thesis |
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 | Steigerung der Zuverlässigkeit der Laufzeitmessung mittels Machine Learning Algorithmen zur ultraschallbasierten Vorspannkraftbestimmung Herter, Simon : Rabe, Ute (Betreuer); Becker, Michael (Day-to-Day-Supervisor) | 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 | 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 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 | Using normal behaviour models to identify upcoming wind turbine failures Lutz, Marc-Alexander | Presentation |
2020 | Vollautomatisierte Auswertung von Mobile-Mapping-Daten mithilfe von Machine Learning Reiterer, Alexander; Störk, Dominik; Wäschle, Katharina; Leydecker, Achim | Conference Paper |
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 |
2019 | Adaptive scheduling through machine learning-based process parameter prediction Frye, Maik; Gyulai, David; Bergmann, Julia; Schmitt, Robert H. | Journal Article |
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 | Anwendungsfelder von künstlicher Intelligenz in Industrie 4.0 Systemen Kerner, Sören; Leveling, Jens; Urbann, Oliver; Weickhmann, Luise; Otten, Maximilian; Vogel, Maurice | Book Article |
2019 | Applicability of AI methods to JISR resource planning Rodenbeck, Roland; Reinert, Frank; Sander, Jennifer; Jackwerth, Andre | Conference Paper |
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 | Automated and Predictive Risk Assessment in Modern Manufacturing Based on Machine Learning Müller, Tobias; Kiesel, Raphael; Schmitt, Robert | Conference Paper |
2019 | Bewertung subjektiver und automatisierter Merkmalsextraktion periodischer Zeitsignale am Beispiel des 3MA-X8-Verfahrens Youssef, Sargon; Zimmer, Cyril; Szielasko, Klaus; Schütze, Andreas | Journal Article |
2019 | Big Data, IOT und Machine Learning - Neue Perspektiven für Lastdaten und Schadensvorhersagen Tiesler, H.; Messmer, M.; Paul, N.; Sicking, J. | Conference Paper |
2019 | Camera Calibration for Color Classification Urbann, Oliver; Menges, Dino; Schwarz, Ingmar; Tasse, Stefan; Stenzel, Jonas | Conference Paper |
2019 | Certification of AI-Supported Production Processes Brandstätter, Tobias Claus; Krauß, Jonathan; Schmitt, Robert H. | Conference Paper |
2019 | Classification of black plastics waste using fluorescence imaging and machine learning Gruber, Florian; Grählert, Wulf; Wollmann, Philipp; Kaskel, Stefan | Journal Article |
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 | Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems Balzereit, Kaja; Maier, Alexander; Barig, Björn; Hutschenreuther, Tino; Niggemann, Oliver | Conference Paper |
2019 | Deduction of time-dependent machine tool characteristics by fuzzy-clustering Frieß, Uwe; Kolouch, Martin; Putz, Matthias | Conference Paper |
2019 | Deep learning-based semantic segmentation for in-process monitoring in laser welding applications Knaak, Christian; Kolter, Gerald Manuel; Schulze, Frédéric; Kröger, Moritz; Abels, Peter | Conference Paper |
2019 | Digitale Prozessanalyse im Krankenhaus Laciok, Sylvia; Wibbeling, Sebastian | Journal Article |
2019 | Dynamic "Standing Orders" for Autonomous Navigation System by means of Machine Learning Scheidweiler, Tina; Burmeister, Hans-Christoph; Hübner, Sören; Jahn, Carlos | Conference Paper |
2019 | EEG-Based Cross-Subject Mental Fatigue Recognition Liu, Yisi; Lan, Zirui; Cui, Jian; Sourina, Olga; Müller-Wittig, Wolfgang K. | Conference Paper |
2019 | EEG-based Human Factors Evaluation of Air Traffic Control Operators (ATCOs) for Optimal Training Liu, Yisi; Lan, Zirui; Traspsilawati, Fitri; Sourina, Olga; Chen, Chun-Hsien; Müller-Wittig, Wolfgang K. | Conference Paper |
2019 | Enhancing MASS Navigation using Machine Learning Scheidweiler, Tina | Presentation |
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 | High accuracy beam splitting using spatial light modulator combined with machine learning algorithms Mikhaylov, Dmitriy; Zhou, Baifan; Kiedrowski, Thomas; Mikut, Ralf; Lasagni, Andrés-Fabián | Journal Article |
2019 | A hybrid simulation tool to improve the energy efficiency in production environment Zhou, Beiyan; Frye, Maik; Sander, C.; Schmitt, Robert H. | 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 | Industrie 4.0 in praxisnaher Anwendung - Vom Retrofit über Datenspeicherung zum maschinellen Lernen am Beispiel der Glasumformung Mende, Hendrik; Vogel, Paul-Alexander; Padrón Hinrichs, Marcos; Schmitt, Robert | Journal Article |
2019 | Integration of Camera and Inertial Measurement Unit for Entire Human Robot Interaction Using Machine Learning Algorithm Haghighi, Azam; Bdiwi, Mohamad; Putz, Matthias | Conference Paper |
2019 | KI im Mittelstand Leveling, Jens | Presentation |
2019 | Künstliche Intelligenz in der Logistik Leveling, Jens; Vogel, Maurice | Presentation |
2019 | Künstliche Intelligenz in der Logistik. Was steht hinter dem Hype? Leveling, Jens | Presentation |
2019 | A literature review on machine learning in supply chain management Wenzel, Hannah; Smit, Daniel; Sardesai, Saskia | Conference Paper |
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 and Artificial Intelligence in Production. Application Areas and Publicly Available Data Sets Krauß, Jonathan; Dorißen, Jonas; Mende, Hendrik; Frye, Maik; Schmitt, Robert H. | Conference Paper |
2019 | Machine Learning and Infrared Thermography for Breast Cancer Detection Gonçalves, Caroline Barcelos; Leles, Amanda Cristine Queiroz; Oliveira, Lucimara E.; Guimaraes, Gilmar; Cunha, Juliano Rodrigues; Fernandes, Henrique Coelho | Journal Article, Conference Paper |
2019 | Machine Learning Approaches along the Radiology Value Chain - Rethinking Value Propositions Hofmann, Peter; Oesterle, Severin; Rust, Paul; Urbach, Nils | Conference Paper |
2019 | A machine learning assisted approach for textile formability assessment and design improvement of composite components Zimmerling, Clemens; Dörr, Dominik; Henning, Frank; Kärger, Luise | Journal Article |
2019 | Machine learning estimates of plug-in hybrid electric vehicle utility factors Goebel, David; Plötz, Patrick | Journal Article |
2019 | Machine learning in demand planning: Cross-industry overview Moroff, Nikolas Ulrich; Sardesai, Saskia | Conference Paper |
2019 | Machine Learning in der Logistik Leveling, Jens; Otten, Maximilian; Pionzewski, Christian | Journal Article |
2019 | Maschinelles Lernen in der Produktion. Anwendungsgebiete und frei verfügbare Datensätze Krauß, Jonathan; Dorißen, Jonas; Mende, Hendrik; Frye, Maik; Schmitt, Robert H. | Journal Article |
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 | A mixture of experts approach to handle ambiguities in parameter identification problems in material modeling Morand, L.; Helm, D. | Journal Article |
2019 | Monitoring of compressor operations - A machine learning approach Holstein, Peter; Moeck, Steffen; Tschöpe, Constanze; Duckhorn, Frank; Kolbe, Peter; Hennecke, Michael | Conference Paper |
2019 | Neue Möglichkeiten durch Machine Learning Leveling, Jens | Presentation |
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 | Optimization and simulation for sustainable supply chain design Schreiber, Lucas | Conference Paper |
2019 | An Overview of User Feedback Classification Approaches Santos, Rubens; Groen, Eduard C.; Villela, Karina | Conference Paper |
2019 | Predictive Analysis from numerical and experimental data in press hardening Penter, Lars; Link, Patrick; Ihlenfeldt, Steffen; Stoll, Anke; Albert, André | Conference Paper |
2019 | A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance Kovacs, Klaudia; Ansari, Fazel; Geisert, Claudio; Uhlmann, E.; Glawar, Robert; Sihn, Wilfried | Conference Paper |
2019 | Quality Improvement of Milling Processes Using Machine Learning-Algorithms Frye, Maik; Schmitt, Robert H. | Conference Paper |
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 | Schnelle Materialprüfung im Fertigungsprozess Koster, Dirk | Journal Article |
2019 | Sequential peak detection for flow cytometry Gül, Gökhan; Alebrand, Sabine; Baßler, Michael; Wittek, Joern | 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 | Towards Contradiction Detection in German: A Translation-Driven Approach Sifa, Rafet; Pielka, Maren; Ramamurthy, Rajkumar; Ladi, Anna; Hillebrand, Lars; Bauckhage, Christian | 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 Wrappers for Data-Driven Models Kläs, Michael; Sembach, Lena | Conference Paper |
2019 | Vom professionellen Schätzen von CO2-Emissionen im unterbestimmten multivariaten System Hilgenfeld, Carsten; Scheidweiler, Tina; Loest, Stefan; Suhr, Birgit | Presentation |
2018 | Advanced methods in NDE using machine learning approaches Wunderlich, Christian; Tschöpe, Constanze; Duckhorn, Frank | 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 | 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 | Big Data in der maritimen Logistik Scheidweiler, Tina | Presentation |
2018 | Clustering the occupant behavior in residential buildings: A method comparison Carbonare, N.; Pflug, T.; Wagner, A. | Journal Article |
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 | Compositional optimization of hard-magnetic phases with machine-learning models Möller, J.; Körner, W.; Krugel, G.; Urban, D.F.; Elsässer, C. | Journal Article |
2018 | Designing self-aware textiles Gutjahr, Christian : Kuijper, Arjan (1. Gutachten); Rus, Silvia (2. Gutachten) | Master Thesis |
2018 | EEG-based evaluation of mental fatigue using machine learning algorithms Liu, Yisi; Lan, Zirui; Khoo, Han Hua Glenn; Ho, K.; Li, King Ho Holden; Sourina, Olga; Müller-Wittig, Wolfgang K. | Conference Paper |
2018 | Enormer Wissenstransfer nötig Leveling, Jens; Barck, Rainer | Journal Article |
2018 | Hyperspectral imaging using laser excitation for fast raman and fluorescence hyperspectral imaging for sorting and quality control applications Gruber, Florian; Wollmann, Philipp; Grählert, Wulf; Kaskel, Stefan | Journal Article |
2018 | Künstliche Intelligenz für die Logistik Schwede, Christian | Journal Article |
2018 | Künstliche Intelligenz in der Logistik Leveling, Jens | Presentation |
2018 | Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer Lingitz, Lukas; Gallina, Viola; Ansari, Fazel; Gyulai, Dávid; Pfeiffer, András; Sihn, Wilfried; Monostori, László | Journal Article, 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 | MaLiTuP - Machine Learning in Theory and Practis Scheidweiler, Tina; Kastner, Marvin; Burmeister, Hans-Christoph | Poster |
2018 | Mit maschinellem Lernen zur intelligenten Produktion Grollmisch, Sascha | Presentation |
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, Conference Paper |
2018 | OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis : 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 | Port Call Optimization by Estimating Ships' Time of Arrival Jahn, Carlos; Scheidweiler, Tina | Presentation |
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 | Selbstständig und selbstlernend Barck, Rainer | Journal Article |
2018 | Smart self-sufficient wireless current sensor Hennig, Andreas; Gembaczka, Pierre; Cousin, Linda; Grabmaier, Anton | Conference Paper |
2018 | Stable feature selection for EEG-based emotion recognition Lan, Zirui; Sourina, Olga; Wang, Lipo; Liu, Yisi; Scherer, Reinhold; Müller-Putz, Gernot | Conference Paper |
2018 | VIAL: a unified process for visual interactive labeling Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang | Journal Article |
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 | 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 | Comparing machine learning approaches for fall risk assessment Silva, Joana; Madureira, Joao; Tonelo, Claudia; Baltazar, Daniela; Silva, Catarina; Martins, Anabela Correia; Alcobia, Carlos; Sousa, Ines | 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 | Fusion of camera and inertial motion capturing unit for entire human-robot-interaction Poshtiri, Azam Haghighi; Bdiwi, Mohamad | Master Thesis |
2017 | Initialisierung des Trackings mit Hilfe von Machine-Learning-Verfahren Wientapper, Folker; Wuest, Harald; Becker, Mario; Engelke, Timo; Haske, Leon; Bockholt, Ulrich | Book Article |
2017 | Know thy neighbor - a data-driven approach to neighborhood estimation in VANETs Roscher, Karsten; Nitsche, Thomas; Knorr, Rudi | Conference Paper |
2017 | Large-Scale Automated Sleep Staging Sun, Haoqi; Jia, Jian; Goparaju, Balaji; Huang, Guang-Bin; Sourina, Olga; Bianchi, Matt Travis; Westover, Brandon M. | Journal Article |
2017 | Machine Learning für die Smarte Produktion Ernis, Gunar; Kamp, Michael | Journal Article |
2017 | Material-based process-chain optimization in metal forming Morand, L.; Pagenkopf, J.; Helm, D. | Journal Article, Conference Paper |
2017 | Online Learning Verfahren für markerloses Tracking Wientapper, Folker; Wuest, Harald; Becker, Mario; Engelke, Timo; Haske, Leon; Bockholt, Ulrich | Book Article |
2017 | Potentials of Industrie 4.0 and Machine Learning for Mechanical Joining Jäckel, Mathias | 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 | 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 |
2016 | Adaptive semantics visualization Nazemi, Kawa | Dissertation |
2016 | Automatic classification of cornea tissues for autofocus algorithm Bartschat, Andreas : Kuijper, Arjan (Gutachter) | Master Thesis |
2016 | Body location independent activity monitoring Figueira, Carina; Matias, Ricardo; Gamboa, Hugo | Conference Paper |
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 | 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 | Quality rating of silicon wafers - a pattern recognition approach Demant, Matthias : Weber, E.; Brox, T. | Dissertation |
2016 | SnoReport 2.0. New features and a refined support vector machine to improve snoRNA identification Araujo Oliviera, João Victor de; Costa, Fabrizio; Backofen, Rolf; Stadler, Peter F.; Machado Telles Walter, Maria Emilía; Hertel, Jana | Journal Article, Conference Paper |
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 | Unsupervised learning algorithm using multiple electrical low and high frequency features for the task of load disaggregation Bernard, Timo; Marx, Michael | 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 | Approaches for monitoring the energy consumption with machine learning methods Gebbe, Christian; Glasschröder, Johannes; Reinhart, Gunther | 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, Conference Paper |
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, Conference Paper |
2015 | Cognitive parameter adaption for model based control systems Schmid, Martin; Berger, Simon; Reinhart, Gunther | Journal Article, Conference Paper |
2015 | Data-driven anomaly detection in cyber-physical production systems Niggemann, Oliver; Frey, Christian | Journal Article |
2015 | Driver drowsiness detection based on novel eye openness recognition method and unsupervised feature learning Han, Wei; Yang, Yan; Huang, Guang-Bin; Sourina, Olga; Klanner, Felix; Denk, Cornelia | Conference Paper |
2015 | Driver workload detection in on-road driving environment using machine learning Yang, Yan; Sun, Haoqi; Liu, Tianchi; Huang, Guang-Bin; Sourina, Olga | Conference Paper |
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 | Identifying ISI-indexed articles by their lexical usage: A text analysis approach Moohebat, Mohammadreza; Raj, Ram Gopal; Thorleuchter, Dirk | Journal Article |
2015 | Large scale classification of spectral signatures Richter, M.; Längle, Thomas; Beyerer, Jürgen | Journal Article |
2015 | Machine learning reveals different brain activities in visual pathway during TOVA Test Sun, Haoqi; Sourina, Olga; Yang, Yan; Huang, Guang-Bin; Denk, Cornelia; Klanner, Felix | Conference Paper |
2014 | Deep Learning Ruhlig, Klaus | Journal Article |
2014 | Human activity classification with inertial sensors Silva, Joana; Monteiro, M.; Sousa, Filipe | 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, Conference Paper |
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 | Cognitive parameter adaption in regular control structures Schmid, Martin; Berger, Simon; Reinhart, Gunther | 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 | 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 | Quantitative measurements of model interpretability for the analysis of spectral data Backhaus, Andreas; Seiffert, Udo | Conference Paper |
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 |
2012 | Anomaly detection at "supersonic" speed Grozea, Cristian; Laskov, Pavel | Journal Article |
2012 | ESWT - tracking organs during focused ultrasound surgery Grozea, C.; Lübke, D.; Dingeldey, F.; Schiewe, M.; Gerhardt, J.; Schumann, C.; Hirsch, J. | Conference Paper |
2012 | Kernel methods and string kernels for authorship analysis Popescu, Marius; Grozea, Cristian | Conference Paper |
2012 | Learning behavior models for hybrid timed systems Niggemann, Oliver; Stein, Benno; Maier, Alexander; Vodencarevic, Asmir; Kleine Büning, H. | Conference Paper |
2012 | Learning rotation-aware features: From invariant priors to equivariant descriptors Schmidt, Uwe; Roth, Stefan | Conference Paper |
2012 | Properties of the solution of L2-support vector machine as a function of regularization parameter Doktorski, L. | Journal Article |
2012 | Solving modeling problems with machine learning - a classification scheme of model learning approaches for technical systems Niggemann, Oliver; Stein, B.; Maier, A. | Conference Paper |
2012 | Vector quantization based learning algorithms for mixed data types and their application in cognitive support systems for biomedical research Zühlke, Dietlind | Dissertation |
2012 | Windertragsprognose mit Echo State Networks Kobialka, Hans-Ulrich | Conference Paper |
2011 | Conditional random fields for named entity recognition. Feature selection and optimization in biology and chemistry Klinger, R. | Dissertation |
2011 | Field of experts Roth, Stefan; Black, Michael | Book Article |
2011 | Machine learning for document structure recognition Paaß, Gerhard; Konya, Iuliu | Book Article |
2011 | Non-IAPR workshop report: DAGM2010 Kuijper, Arjan | Journal Article |
2011 | Semantic technology classification - a defence and security case study Thorleuchter, Dirk; Poel, Dirk van den | Conference Paper |
2011 | Steerable random fields for image restoralion Roth, Stefan; Black, Michael | Book Article |
2011 | Study 7 - A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies Thorleuchter, D.; Poel, D. van den; Prinzie, A. | Book Article |
2010 | Classification with Sums of Separable Functions Garcke, Jochen | Conference Paper |
2010 | A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies Thorleuchter, D.; Poel, D. van den; Prinzie, A. | Report |
2010 | A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies Thorleuchter, D.; Poel, D. van den; Prinzie, A. | Journal Article |
2010 | Identification and classification of small RNAs in transcriptome sequence data Langenberger, D.; Bermudez-Santana, Clara; Stadler, Peter F.; Hoffmann, Steve | Conference Paper |
2010 | Visual human traits recognition Tausch, Reimar : Jung, Christoph (Betreuer) | Master Thesis |
2009 | AntiPhish - lessons learnt Bergholz, A. | Conference Paper |
2009 | Composite kernels for relation extraction Reichartz, F.; Korte, H.; Paaß, G. | Conference Paper |
2009 | Fields of experts Roth, Stefan; Black, Michael | Journal Article |
2009 | A generic approach to topic models Heinrich, Gregor | Conference Paper |
2009 | Learning partially observed Markov random fields from noisy image data Deckert, Florian : Roth, Stefan (Betreuer) | Thesis |
2009 | Linear-projection-based classification of human postures in time-of-flight data Wientapper, Folker; Ahrens, Katrin; Wuest, Harald; Bockholt, Ulrich | Conference Paper |
2009 | Parameter estimation for text analysis Heinrich, Gregor | Report |
2009 | Towards workflow acquisition of assembly skills using hidden markov models Webel, Sabine; Staykova, Yana; Bockholt, Ulrich | Conference Paper |
2009 | Variational Bayes for generic topic models Heinrich, Gregor; Goesele, Michael | Conference Paper |
2008 | KI 2008. Advances in artificial intelligence. 31st Annual German Confernce on AI : Dengel, A.R.; Berns, K.; Breuel, T.M.; Bomarius, F.; Roth-Berghofer, T.R. | Conference Proceedings |
2008 | Konzepte für die Merkmalsextraktion und Klassifikation zur automatischen optischen Analyse des Laserschweißprozesses Daßler, S. | Thesis |
2008 | Learning optical flow Sun, Deqing; Roth, Stefan; Lewis, J.P.; Black, Michael | Conference Paper |
2008 | Prozessdiagnose und Monitoring feldbusbasierter Automatisierungsanlagen mittels selbstorganisierender Karten und Watershed-Transformation Frey, C.W. | Journal Article |
2007 | Classical probabilistic models and conditional random fields Klinger, R.; Tomanek, K. | Report |
2007 | Feature management for efficient camera tracking Wuest, Harald; Pagani, Alain; Stricker, Didier | Conference Paper |
2007 | Klassifikation und Merkmalsselektion mikroskopischer Objekte Ohl, Stephan : Blech, Michael (Betreuer) | Thesis |
2007 | Learning-based methods for the analysis of intralimb-coordination and adaptation of locomotor patterns in cerebellar patients Ilg, Winfried; Rörig, R.; Thier, Peter; Giese, Martin A. | Conference Paper |
2007 | Lessons learned and results from applying data-driven cost estimation to industrial data sets Heidrich, Jens; Trendowicz, Adam; Münch, Jürgen; Ishigai, Yasushi; Yokoyama, Kenji; Kikuchi, Nahomi; Kawaguchi, T | Conference Paper |
2007 | Two level discriminative training for audio events recognition in sport broadcasts Biatov, K. | Conference Paper |
2006 | Entwicklung eines Objekterkennungsverfahrens zur Initialisierung einer Augmented-Reality-Anwendung Wagner, S. : Stricker, D. (Prüfer) | Thesis |
2006 | A refinement operator for outerplanar graphs Horváth, T.; Akutsu, T.; Wrobel, S. | Conference Paper |
2006 | Towards open-ended 3D rotation and shift invariant object detection for robot companions Kubacki, J.; Baum, W. | Conference Paper |
2005 | Biological and chemical entity recognition from text using conditional random fields (CRF) Revillion, T.; Friedrich, C.M.; Fluck, J.; Hofmann, M. | Poster |
2005 | Maintaining experience to learn: Case studies on case-based reasoning and experience factory Althoff, K.-D.; Mänz, J.; Nick, M. | Conference Paper |
2002 | Applying decision tree methodology for rules extraction under cognitive constraints Müller, W.; Wiederhold, E. | Journal Article |
2002 | Augmenting the knowledge bandwidth and connecting heterogeneous expert communities through uncovering tacit knowledge Novak, J.; Fleischmann, M.; Strauss, W.; Schneider, M.; Wurst, M.; Morik, K.; Ziegler, A.; Kunz, C. | Conference Paper |
2002 | Automatic generation of fuzzy logic rule bases: Example I Surmann, H.; Selenschtschikow, A. | Conference Paper |
2001 | Embodied cognitive science, intelligent behavior control, machine learning, soft computing and FPGA Integration. Towards fast, cooperative and adversarial robot team (RoboCup) Chohra, A. | Report |
2001 | Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems Wrobel, S.; Scheffer, T. | Conference Paper |
2001 | Towards discovery of deep and wide first-order structures: a case study in the domain of mutagenicity Horváth, T.; Wrobel, S. | Conference Paper |
2000 | The product homomorphism method and its applications to learning logic programs Horvath, T. | Book |
1998 | An incremental approach to document structure recognition Xu, Y. : Neuhold, E.J. (Prüfer); Encarnacao, J.L. (Prüfer) | Dissertation |
1998 | Simulation based on learning methods Westkämper, E.; Pirron, J.; Schmidt, T. | Journal Article |
1997 | Characterizing and modeling the cost of rework in a library of reusable software components Basili, V.R.; Condon, S.; Emam, K. el; Hendrick, R.B.; Melo, W.L. | Conference Paper |
1997 | Development of an Adaptive Simulation System Westkämper, E.; Pirron, J.; Schmidt, T. | Journal Article |
1997 | Kommunikation im Zeitalter der Informationsgesellschaft: der Kommunikations-Agent Höppner, S. | Conference Paper |
1996 | Inductive logic programming Wrobel, S. | Book Article |
1996 | Machine learning: Case studies of an interdisciplinary approach Emde, W. | Book Article |
1995 | Automatic synthesis of control programs by combination of learning and problem solving methods Müller, W.; Wysotzki, F. | Conference Paper |
1995 | Hybrid classification - using axis-parallel and oblique subdivisions of the attribute space Schulmeister, B.; Bleich, M. | Conference Paper |
1994 | Automatic construction of decision trees for classification Müller, W.; Wysotzki, F. | Journal Article |
1994 | Machine learning for protein structure prediction Selbig, J. | Conference Paper |
1994 | The piecewise linear classifier DIPOL92 Schulmeister, B.; Wysotzki, F. | Conference Paper |
1993 | Cooperation of data-driven and model-based induction methods for relational learning Sommer, E. | Conference Paper |
1992 | Applying machine learning methods for finding significant amino acid properlies in proteins Selbig, J.; Kaden, F.; Koch, I. | Journal Article |
1992 | Concept formation as emergent phenomena Patel, M.; Schnepf, U. | Conference Paper |
1991 | Concept formation as emergent phenomena Patel, M.J.; Schnepf, U. | Report |
1991 | Integration of learning approaches for maintenance tasks Weiß, S.; Specht, D.; Spur, G. | Journal Article |
1991 | Organisation of robot behaviour through genetic learning processes Dorigo, Marco; Schnepf, U. | Conference Paper |
1990 | A bootstrapping approach to robot intelligence Dorigo, M.; Schnepf, U. | Report |