Tomova, Mihaela; Hofmann, Martin; Hütterer, Constantin; Mäder, Patrick:
Assessing the utility of text-to-SQL approaches for satisfying software developer information needs
#!ilm_mods_00009129!#
In: Empirical software engineering: an international journal, vol. 29 (2024), no. 1, art. 15
DOI: https://doi.org/10.1007/s10664-023-10374-z
Walther, Dominik; Junger, Christina; Schmidt, Leander; Schricker, Klaus; Notni, Gunther; Bergmann, Jean Pierre; Mäder, Patrick:
Recurrent autoencoder for weld discontinuity prediction
#!ilm_mods_00011514!#
In: Journal of advanced joining processes, vol. 9 (2024), art. 100203
DOI: https://doi.org/10.1016/j.jajp.2024.100203
Janke, Mario; Mäder, Patrick:
7 dimensions of software change patterns
#!ilm_mods_00012375!#
In: Scientific reports, vol. 14 (2024), art. 6141
DOI: https://doi.org/10.1038/s41598-024-54894-0
Nauber, Tristan; Hodač, Ladislav; Wäldchen, Jana; Mäder, Patrick:
Parametrization of biological assumptions to simulate growth of tree branching architectures
#!ilm_mods_00015497!#
In: Tree physiology: an international botanical journal, vol. 44 (2024), no. 5, art. tpae045
DOI: https://doi.org/10.1093/treephys/tpae045
Karbstein, Kevin; Kösters, Lara; Hodač, Ladislav; Hofmann, Martin; Hörandl, Elvira [et al.]:
Species delimitation 4.0: integrative taxonomy meets artificial intelligence
#!ilm_mods_00016091!#
In: Trends in ecology and evolution, vol. 39 (2024), no. 8, pp. 771–784
DOI: https://doi.org/10.1016/j.tree.2023.11.002
Schlegel, Marius; Scheliga, Daniel; Sattler, Kai-Uwe; Seeland, Marco; Mäder, Patrick:
Collaboration management for federated learning
#!ilm_mods_00017110!#
In: 2024 IEEE 40th International Conference on Data Engineering Workshops: 13–17 May 2024, Utrecht, Netherlands : proceedings (ISBN 979-8-3503-8403-1), (2024), pp. 291–300
DOI: https://doi.org/10.1109/ICDEW61823.2024.00043
Scheliga, Daniel; Mäder, Patrick; Seeland, Marco:
Feature-based dataset fingerprinting for Clustered Federated Learning on medical image data
#!ilm_mods_00019629!#
In: Applied artificial intelligence: AAI ; an international journal, vol. 38 (2024), no. 1, art. e2394756
DOI: https://doi.org/10.1080/08839514.2024.2394756
Mora, Karin; Rzanny, Michael; Wäldchen, Jana; Feilhauer, Hannes; Kattenborn, Teja [et al.]:
Macrophenological dynamics from citizen science plant occurrence data
#!ilm_mods_00017173!#
In: Methods in ecology and evolution: MEE ; an official journal of the British Ecological Society, vol. 15 (2024), no. 8, pp. 1422–1437
DOI: https://doi.org/10.1111/2041-210X.14365
Janke, Mario:
Graph-based code pattern extraction
#!ilm_mods_00019530!#
Ilmenau, 2024
DOI: https://doi.org/10.22032/dbt.62456
Fischer, Kai; Simon, Martin; Milz, Stefan; Mäder, Patrick:
MagneticPillars: efficient point cloud registration through hierarchized Birds-Eye-View cell correspondence refinement
#!ilm_mods_00014603!#
In: 2024 IEEE Winter Conference on Applications of Computer Vision: proceedings : 4-8 January 2024, Waikoloa, Hawaii (ISBN 979-8-3503-1893-7), (2024), pp. 7371–7380
DOI: https://doi.org/10.1109/WACV57701.2024.00722
Walther, Dominik; Viehweg, Johannes; Haueisen, Jens; Mäder, Patrick:
A systematic comparison of deep learning methods for EEG time series analysis
#!ilm_mods_00002859!#
In: Frontiers in neuroinformatics, vol. 17 (2023), art. 1067095
DOI: https://doi.org/10.3389/fninf.2023.1067095
Scheliga, Daniel; Mäder, Patrick; Seeland, Marco:
Dropout is NOT all you need to prevent gradient leakage
#!ilm_mods_00006321!#
In: 37th AAAI Conference on Artificial Intelligence (AAAI-23): Washington, DC, USA, 7-14 February 2023 ; Volume 8: AAAI technical tracks: machine learning III (ISBN 978-1-7138-7818-6), (2023), pp. 9733–9741
DOI: https://doi.org/10.1609/aaai.v37i8.26163
Teutsch, Philipp; Käufer, Theo; Mäder, Patrick; Cierpka, Christian:
Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection
#!ilm_mods_00008761!#
In: Experiments in fluids: experimental methods and their applications to fluid flow ; research journal, vol. 64 (2023), no. 12, art. 191
DOI: https://doi.org/10.1007/s00348-023-03736-2
Schneider, Christian; Wäldchen, Jana; Mäder, Patrick:
Künstliche Intelligenz im Naturschutz
#!ilm_mods_00010904!#
In: Natur und Landschaft: Zeitschrift für Naturschutz und Landschaftspflege, vol. 98 (2023), no. 6/7, pp. 304–311
URL: https://ezb.ur.de/?2574930-4
Milz, Stefan; Wäldchen, Jana; Abouee, Amin; Ravichandran, Ashwanth A.; Schall, Peter [et al.]:
The HAInich: a multidisciplinary vision data-set for a better understanding of the forest ecosystem
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In: Scientific data, vol. 10 (2023), no. 1, art. 168
DOI: https://doi.org/10.1038/s41597-023-02010-8
Sieg, Miriam; Roselló Atanet, Iván; Tomova, Mihaela Todorova; Schoeneberg, Uwe; Sehy, Victoria; Mäder, Patrick; März, Maren:
Discovering unknown response patterns in progress test data to improve the estimation of student performance
#!ilm_mods_00002972!#
In: BMC medical education, vol. 23 (2023), no. 1, art. 193
DOI: https://doi.org/10.1186/s12909-023-04172-w
Katal, Negin; Rzanny, Michael; Mäder, Patrick; Römermann, Christine; Wittich, Hans Christian; Boho, David; Musavi, Talie; Wäldchen, Jana:
Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring
#!ilm_mods_00007944!#
In: Frontiers in plant science: FPLS, vol. 14 (2023), art. 1150956
DOI: https://doi.org/10.3389/fpls.2023.1150956
Sachs, Sebastian; Ratz, Manuel; Mäder, Patrick; König, Jörg; Cierpka, Christian:
Particle detection and size recognition based on defocused particle images: a comparison of a deterministic algorithm and a deep neural network
#!ilm_mods_00002112!#
In: Experiments in fluids: experimental methods and their applications to fluid flow ; research journal, vol. 64 (2023), no. 2, art. 21
DOI: https://doi.org/10.1007/s00348-023-03574-2
Viehweg, Johannes; Worthmann, Karl; Mäder, Patrick:
Parameterizing echo state networks for multi-step time series prediction
#!ilm_mods_00001728!#
In: Neurocomputing: an international journal, vol. 522 (2023), pp. 214–228
DOI: https://doi.org/10.1016/j.neucom.2022.11.044
Altschaffel, Robert; Dittmann, Jana; Scheliga, Daniel; Seeland, Marco; Mäder, Patrick:
Model-based data generation for the evaluation of functional reliability and resilience of distributed machine learning systems against abnormal cases
#!ilm_mods_00013926!#
In: Engineering for a changing world: 60th ISC, Ilmenau Scientific Colloquium, Technische Universität Ilmenau, September 4-8, 2023 : proceedings, (2023), art. 5.3.128
DOI: https://doi.org/10.22032/dbt.58936
Amthor, Peter; Döring, Ulf; Fischer, Daniel; Genath, Jonas; Kreuzberger, Gunther:
Erfahrungen bei der Integration des Autograding-Systems CodeOcean in die universitäre Programmierausbildung
#!ilm_mods_00013855!#
In: Proceedings of the Sixth Workshop “Automatische Bewertung von Programmieraufgaben” (ABP 2023): 12. und 13. Oktober 2023, München, (2023), pp. 67–74
DOI: https://doi.org/10.18420/abp2023-9
Janke, Mario; Mäder, Patrick:
FS³change: a scalable method for change pattern mining
#!ilm_mods_00004895!#
In: IEEE transactions on software engineering: TSE, vol. 49 (2023), no. 6, pp. 3616–3629
DOI: https://doi.org/10.1109/TSE.2023.3269500
Sennlaub, Rabea; Hofmann, Martin; Hankey, Mike; Ennes, Mario; Müller, Thomas; Kroll, Peter; Mäder, Patrick:
Object classification on video data of meteors and meteor-like phenomena: algorithm and data
#!ilm_mods_00000514!#
In: Monthly Notices of the Royal Astronomical Society, vol. 516 (2022), no. 1, pp. 811–823
DOI: https://doi.org/10.1093/mnras/stac1948
Scheliga, Daniel; Mäder, Patrick; Seeland, Marco:
PRECODE - a generic model extension to prevent deep gradient leakage
#!ilm_mods_00000432!#
In: 2022 IEEE Winter Conference on Applications of Computer Vision: 4-8 January 2022, Waikoloa, Hawaii : proceedings (ISBN 978-1-6654-0916-2), (2022), pp. 3605–3614
[IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ; 22 (Waikoloa; Online) : 2022.01.04-08]
DOI: https://doi.org/10.1109/WACV51458.2022.00366
Fischer, Kai; Simon, Martin; Milz, Stefan; Mäder, Patrick:
StickyLocalization: robust end-to-end relocalization on point clouds using graph neural networks
#!ilm_mods_00000433!#
In: 2022 IEEE Winter Conference on Applications of Computer Vision: 4-8 January 2022, Waikoloa, Hawaii : proceedings (ISBN 978-1-6654-0916-2), (2022), pp. 307–316
[IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ; 22 (Waikoloa; Online) : 2022.01.04-08]
DOI: https://doi.org/10.1109/WACV51458.2022.00038
Tomova, Mihaela Todorova; Hofmann, Martin; Mäder, Patrick:
SEOSS-Queries - a software engineering dataset for text-to-SQL and question answering tasks
#!ilm_mods_00000793!#
In: Data in Brief, vol. 42 (2022), art. 108211
DOI: https://doi.org/10.1016/j.dib.2022.108211
Richter, Felix; Chen, Minqian; Schaub, Patrick; Wüst, Florian; Zhang, Di [et al.]:
Induction of embryogenic development in haploid microspore stem cells in droplet-based microfluidics
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In: Lab on a chip: miniaturisation for chemistry and biology, vol. 22 (2022), no. 22, pp. 4292–4305
DOI: https://doi.org/10.1039/d2lc00788f
Rath, Michael:
Utilizing traceable software artifacts to improve bug localization
#!ilm_mods_00001129!#
Ilmenau, 2022
DOI: https://doi.org/10.22032/dbt.53717
Wäldchen, Jana; Wittich, Hans Christian; Rzanny, Michael; Fritz, Alice; Mäder, Patrick:
Towards more effective identification keys: a study of people identifying plant species characters
#!ilm_mods_00001268!#
In: People and Nature, vol. 4 (2022), no. 6, pp. 1603–1615
DOI: https://doi.org/10.1002/pan3.10405
Pandey, Sandeep; Teutsch, Philipp; Mäder, Patrick; Schumacher, Jörg:
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection
#!ilm_mods_00001352!#
In: Physics of fluids: devoted to the publication of original theoretical, computational, and experimental contributions to the dynamics of gases, liquids, and complex or multiphase fluids, vol. 34 (2022), no. 4, art. 45106
DOI: https://doi.org/10.1063/5.0087977
Sonnekalb, Tim; Gruner, Bernd; Brust, Clemens-Alexander; Mäder, Patrick:
Generalizability of code clone detection on CodeBERT
#!ilm_mods_00002155!#
In: ASE ’22: proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester MI USA October 10-14, 2022 (ISBN 978-1-4503-9475-8), (2022), art. 143
DOI: https://doi.org/10.1145/3551349.3561165
Ravi Kumar, Varun:
Multi-task near-field perception for autonomous driving using surround-view fisheye cameras
#!ilm_mods_00002590!#
Ilmenau, 2022
DOI: https://doi.org/10.22032/dbt.50751
Katal, Negin; Rzanny, Michael Carsten; Mäder, Patrick; Wäldchen, Jana:
Deep learning in plant phenological research: a systematic literature review
#!ilm_mods_00003164!#
In: Frontiers in plant science: FPLS, vol. 13 (2022), art. 805738
DOI: https://doi.org/10.3389/fpls.2022.805738
Bohn, Kristin; Amberg, Michael; Mäder, Patrick; Forner, Frank; Meier, Toni:
Back to the Roots - Bewertung und Vergleich der Nachhaltigkeit von Nahrungsmitteln im Lebensmitteleinzelhandel: Abschlussbericht für die Deutsche Bundesstiftung Umwelt
#!ilm_mods_00003718!#
Ilmenau, 2022
URL: http://www.dbu.de/OPAC/ab/DBU-Abschlussbericht-AZ-33981_01-Hauptbericht.pdf
Mohapatra, Sambit; Mesquida, Thomas; Hodaei, Mona; Yogamani, Senthil; Gotzig, Heinrich; Mäder, Patrick:
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving
#!ilm_mods_00000576!#
In: 2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP: EBCCSP 2022 : proceedings : 22-24 June 2022 (ISBN 978-1-6654-5350-9), (2022), art. 9845647
DOI: https://doi.org/10.1109/EBCCSP56922.2022.9845647
Ravi Kumar, Varun; Klingner, Marvin; Yogamani, Senthil; Bach, Markus; Milz, Stefan; Fingscheidt, Tim; Mäder, Patrick:
SVDistNet: self-supervised near-field distance estimation on surround view fisheye cameras
#!ilm_mods_00001430!#
In: IEEE transactions on intelligent transportation systems, vol. 23 (2022), no. 8, pp. 10252–10261
DOI: https://doi.org/10.1109/TITS.2021.3088950
Hofmann, Martin; Mäder, Patrick:
Synaptic scaling - an artificial neural network regularization inspired by nature
#!ilm_mods_00001496!#
In: IEEE transactions on neural networks and learning systems, vol. 33 (2022), no. 7, pp. 3094–3108
DOI: https://doi.org/10.1109/TNNLS.2021.3050422
Sonnekalb, Tim; Heinze, Thomas S.; Mäder, Patrick:
Deep security analysis of program code: a systematic literature review
#!ilm_mods_00002309!#
In: Empirical software engineering: an international journal, vol. 27 (2022), no. 1, art. 2
DOI: https://doi.org/10.1007/s10664-021-10029-x
Gao, Hui; Kuang, Hongyu; Ma, Xiaoxing; Hu, Hao; Lü, Jian; Mäder, Patrick; Egyed, Alexander:
Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery
#!ilm_mods_00002308!#
In: Empirical software engineering: an international journal, vol. 27 (2022), no. 2, art. 41
[International Conference on Program Comprehension (ICPC)]
DOI: https://doi.org/10.1007/s10664-021-10091-5
Rzanny, Michael Carsten; Wittich, Hans Christian; Mäder, Patrick; Deggelmann, Alice; Boho, David; Wäldchen, Jana:
Image-based automated recognition of 31 Poaceae species: the most relevant perspectives
#!ilm_mods_00003138!#
In: Frontiers in plant science: FPLS, vol. 12 (2022), art. 804140
DOI: https://doi.org/10.3389/fpls.2021.804140
Walther, Dominik; Schmidt, Leander; Schricker, Klaus; Junger, Christina; Bergmann, Jean Pierre; Notni, Gunther; Mäder, Patrick:
Automatic detection and prediction of discontinuities in laser beam butt welding utilizing deep learning
#!ilm_mods_00001682!#
In: Journal of advanced joining processes, vol. 6 (2022), art. 100119
DOI: https://doi.org/10.1016/j.jajp.2022.100119
Dunker, Susanne; Boyd, Matthew; Durka, Walter; Erler, Silvio; Harpole, W. Stanley [et al.]:
The potential of multispectral imaging flow cytometry for environmental monitoring
#!ilm_mods_00001410!#
In: Cytometry: Part A, vol. 101 (2022), no. 9, pp. 782–799
DOI: https://doi.org/10.1002/cyto.a.24658
Mohapatra, Sambit; Hodaei, Mona; Yogamani, Senthil; Milz, Stefan; Gotzig, Heinrich; Simon, Martin; Rashed, Hazem; Mäder, Patrick:
LiMoSeg: real-time Bird’s Eye View based LiDAR motion segmentation
#!ilm_mods_00002090!#
In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) (ISBN 978-989-758-555-5), (2022), pp. 828–835
DOI: https://doi.org/10.5220/0010866000003124
Gao, Hui; Kuang, Hongyu; Sun, Kexin; Ma, Xiaoxing; Egyed, Alexander; Mäder, Patrick; Rong, Guoping; Shao, Dong; Zhang, He:
Using consensual biterms from text structures of requirements and code to improve IR-based traceability recovery
#!ilm_mods_00002154!#
In: ASE ’22: proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester MI USA October 10-14, 2022 (ISBN 978-1-4503-9475-8), (2022), art. 114
DOI: https://doi.org/10.1145/3551349.3556948
Schlarbaum, Laura; Forner, Frank; Bohn, Kristin; Amberg, Michael; Mäder, Patrick; Lorkowski, Stefan; Meier, Toni:
Nutritional Assessment of Ready-to-Eat Salads in German Supermarkets: Comparison of the nutriRECIPE-Index and the Nutri-Score
#!ilm_mods_00001807!#
In: Foods: open access journal, vol. 11 (2022), no. 24, art. 4011
DOI: https://doi.org/10.3390/foods11244011
Bohn, Kristin; Amberg, Michael; Meier, Toni; Forner, Frank; Stangl, Gabriele I.; Mäder, Patrick:
Estimating food ingredient compositions based on mandatory product labeling
#!ilm_mods_00001871!#
In: Journal of food composition and analysis: an international journal, vol. 110 (2022), art. 104508
DOI: https://doi.org/10.1016/j.jfca.2022.104508
Hammouch, Hajar; Mohapatra, Sambit; El-Yacoubi, Mounim; Qin, Huafeng; Berbia, Hassan; Mäder, Patrick; Chikhaoui, Mohamed:
GANSet - generating annnotated datasets using Generative Adversarial Networks
#!ilm_mods_00001885!#
In: Proceedings of the International Conference on Cyber-Physical Social Intelligence (ICCSI 2022): Nanjing, China, November 18-21, 2022 (ISBN 978-1-6654-9836-4), (2022), pp. 615–620
DOI: https://doi.org/10.1109/ICCSI55536.2022.9970561
Elamir, Mohamed Shawki; Gotzig, Heinrich; Zöllner, Raoul; Mäder, Patrick:
A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors
#!ilm_mods_00001931!#
In: Journal of physics: Conference Series, vol. 2234 (2022), art. 12009
[International Symposium on Intelligent Robotics and Systems (ISoIRS) ; (Online) : 2021.11.07-09]
DOI: https://doi.org/10.1088/1742-6596/2234/1/012009
Teutsch, Philipp; Mäder, Patrick:
Flipped classroom: effective teaching for time series forecasting
#!ilm_mods_00002015!#
In: Transactions on Machine Learning Research (TMLR), (2022)
DOI: https://doi.org/10.22032/dbt.55258
Gotzig, Heinrich; Mohamed, Mohamed-Elamir; Zöllner, Raoul; Mäder, Patrick:
Improved ultrasonic sensing using machine learning
#!ilm_mods_00013546!#
In: AmE 2022: Automotive meets Electronics: 13th GMM-Symposium : 29-30 Sept. 2022 (ISBN 978-3-8007-5955-2), (2022), pp. 25–26
URL: https://ieeexplore.ieee.org/servlet/opac?punumber=10025901
Janke, Mario; Mäder, Patrick:
Graph based mining of code change patterns from version control commits
#!ilm_mods_00003327!#
In: IEEE transactions on software engineering: TSE, vol. 48 (2022), no. 3, pp. 848–863
DOI: https://doi.org/10.1109/TSE.2020.3004892
Seeland, Marco; Mäder, Patrick:
Multi-view classification with convolutional neural networks
#!ilm_mods_00000264!#
In: PLOS ONE, vol. 16 (2021), no. 1, art. e0245230
DOI: https://doi.org/10.1371/journal.pone.0245230
Cierpka, Christian; Otto, Henning; Poll, Constanze; Hüther, Jonas; Jeschke, Sebastian; Mäder, Patrick:
SmartPIV: flow velocity estimates by smartphones for education and field studies
#!ilm_mods_00000804!#
In: Experiments in fluids: experimental methods and their applications to fluid flow ; research journal, vol. 62 (2021), no. 8, art. 172
DOI: https://doi.org/10.1007/s00348-021-03262-z
Kumar, Varun Ravi; Klingner, Marvin; Yogamani, Senthil; Milz, Stefan; Fingscheidt, Tim; Mäder, Patrick:
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
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In: 2021 IEEE Winter Conference on Applications of Computer Vision: 5-9 January 2021, virtual event : proceedings (ISBN 978-1-6654-0477-8), (2021), pp. 61–71
DOI: https://doi.org/10.1109/WACV48630.2021.00011
Dunker, Susanne; Motivans, Elena; Rakosy, Demetra; Boho, David; Mäder, Patrick; Hornick, Thomas; Knight, Tiffany M.:
Pollen analysis using multispectral imaging flow cytometry and deep learning
#!ilm_mods_00002753!#
In: The new phytologist: international journal of plant science, vol. 229 (2021), no. 1, pp. 593–606
DOI: https://doi.org/10.1111/nph.16882
Franke, Henning; Kucera, Paul; Kuners, Julian; Reinhold, Tom; Grabmann, Martin; Mäder, Patrick; Seeland, Marco; Gläser, Georg:
Trash or treasure? Machine-learning based PCB layout anomaly detection with AnoPCB
#!ilm_mods_00006576!#
In: SMACD / PRIME 2021: International Conference on SMACD and 16th Conference on PRIME ; 19-22 July 2021 (ISBN 978-3-8007-5588-2), (2021), pp. 48–51
URL: https://ieeexplore.ieee.org/document/9547913
Mohapatra, Sambit; Yogamani, Senthil; Gotzig, Heinrich; Milz, Stefan; Mäder, Patrick:
BEVDetNet: Bird’s Eye View LiDAR point cloud based real-time 3D object detection for autonomous driving
#!ilm_mods_00009315!#
In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC): 19-22 Sept. 2021 (ISBN 978-1-7281-9143-0), (2021), pp. 2809–2915
DOI: https://doi.org/10.1109/ITSC48978.2021.9564490
Rabe, Martin; Milz, Stefan; Mäder, Patrick:
Development methodologies for safety critical machine learning applications in the automotive domain: a survey
#!ilm_mods_00009376!#
In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition workshops: CVPRW 2021 : proceedings : virtual 19-25 June 2021 (ISBN 978-1-6654-4900-7), (2021), pp. 129–141
DOI: https://doi.org/10.1109/CVPRW53098.2021.00023
Ravi Kumar, Varun; Yogamani, Senthil; Rashed, Hazem; Sitsu, Ganesh; Witt, Christian; Leang, Isabelle; Milz, Stefan; Mäder, Patrick:
OmniDet: surround view cameras based multi-task visual perception network for autonomous driving
#!ilm_mods_00002812!#
In: IEEE robotics and automation letters, vol. 6 (2021), no. 2, pp. 2830–2837
DOI: https://doi.org/10.1109/LRA.2021.3062324
Sobh, Ibrahim; Hamed, Ahmed; Ravi Kumar, Varun; Yogamani, Senthil:
Adversarial attacks on multi-task visual perception for autonomous driving
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In: The journal of imaging science & technology, vol. 65 (2021), no. 6, art. 60408
DOI: https://doi.org/10.2352/J.ImagingSci.Technol.2021.65.6.060408
Bortz, Luisa; Döring, Ulf:
Web tool for the comparison of multiple-choice scoring schemes
#!ilm_mods_00007803!#
In: INTED 2021: 15th International Technology, Education and Development Conference, 8-9 March, 2021 : conference proceedings : sharing the passion for learning (ISBN 978-84-09-27666-0), (2021), pp. 4105–4113
DOI: https://doi.org/10.21125/inted.2021.0837
Mahecha, Miguel; Rzanny, Michael Carsten; Kraemer, Guido; Mäder, Patrick; Seeland, Marco; Wäldchen, Jana:
Crowd-sourced plant occurrence data provide a reliable description of macroecological gradients
#!ilm_mods_00007918!#
In: Ecography: pattern and diversity in ecology, vol. 44 (2021), no. 8, pp. 1131–1142
DOI: https://doi.org/10.1111/ecog.05492
Mäder, Patrick; Kuschke, Tobias; Janke, Mario:
Reactive auto-completion of modeling activities
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In: IEEE transactions on software engineering: TSE, vol. 47 (2021), no. 7, art. 8745532
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Mäder, Patrick; Boho, David; Rzanny, Michael Carsten; Seeland, Marco; Wittich, Hans Christian; Deggelmann, Alice; Wäldchen, Jana:
The Flora Incognita app - interactive plant species identification
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In: Methods in ecology and evolution: MEE ; an official journal of the British Ecological Society, vol. 12 (2021), no. 7, pp. 1335–1342
DOI: https://doi.org/10.1111/2041-210X.13611
Barnkob, Rune; Cierpka, Christian; Chen, Minqian; Sachs, Sebastian; Mäder, Patrick; Rossi, Massimiliano:
Defocus particle tracking: a comparison of methods based on model functions, cross-correlation, and neural networks
#!ilm_mods_00008178!#
In: Measurement science and technology: devoted to the theory, practice and application of measurement in physics, chemistry, engineering and the environmental and life sciences from inception to commercial exploitation, vol. 32 (2021), no. 9, art. 94011
DOI: https://doi.org/10.1088/1361-6501/abfef6
Ravi Kumar, Varun; Yogamani, Senthil; Milz, Stefan; Mäder, Patrick:
FisheyeDistanceNet++: self-supervised fisheye distance estimation with self-attention, robust loss function and camera view generalization
#!ilm_mods_00009283!#
In: Electronic imaging, vol. 33 (2021), no. 17, art. art00011
[Autonomous Vehicles and Machines (Online, 11.-28.01.2021), IS&T International Symposium on Electronic Imaging (EI) (Online, 11.-28.01.2021)]
DOI: https://doi.org/10.2352/ISSN.2470-1173.2021.17.AVM-181
Fischer, Kai; Simon, Martin; Ölsner, Florian; Milz, Stefan; Groß, Horst-Michael; Mäder, Patrick:
StickyPillars: robust and efficient feature matching on point clouds using graph neural networks
#!ilm_mods_00009294!#
In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 19-25 June 2021 : proceedings (ISBN 978-1-6654-4509-2), (2021), pp. 313–323
DOI: https://doi.org/10.1109/CVPR46437.2021.00038
Cierpka, Christian; Barnkob, Rune; Sachs, Sebastian; Chen, Minqian; Mäder, Patrick; Rossi, Massimiliano:
On the uncertainty of defocus methods for 3D particle tracking velocimetry
#!ilm_mods_00012182!#
In: International Symposium on Particle Image Velocimetry, vol. 1 (2021), no. 1
[14. International Symposium on Particle Image Velocimetry (ISPIV) (Online, 01.-05.08.2021)]
DOI: https://doi.org/10.18409/ispiv.v1i1.80
Mäder, Patrick; Poll, Constanze; Hüther, Jonas; Jeschke, Sebastian; Otto, Henning; Cierpka, Christian:
SmartPIV - an app for flow visualization by cross-correlation and optical flow using smartphones
#!ilm_mods_00012181!#
In: International Symposium on Particle Image Velocimetry, vol. 1 (2021), no. 1
[14. International Symposium on Particle Image Velocimetry (ISPIV) (Online, 01.-05.08.2021)]
DOI: https://doi.org/10.18409/ispiv.v1i1.78
Gonzalez, Danielle; Rath, Michael; Mirakhorli, Mehdi:
Did you remember to test your tokens?
#!ilm_mods_00010397!#
In: 2020 IEEE/ACM 17th International Conference on Mining Software Repositories: MSR 2020, Seoul, Republic of Korea, 29-30 June 2020 : proceedings (ISBN 978-1-4503-7517-7), (2020), pp. 232–242
DOI: https://doi.org/10.1145/3379597.3387471
Rath, Michael; Mäder, Patrick:
Request for comments: conversation patterns in issue tracking systems of open-source projects
#!ilm_mods_00010774!#
In: The 35th Annual ACM Symposium on Applied Computing: Brno, Czech Republic, March 30-April 3, 2020 (ISBN 978-1-4503-6866-7), (2020), pp. 1414–1417
DOI: https://doi.org/10.1145/3341105.3374056
Mäder, Patrick; Wäldchen, Jana:
Flora Incognita - interaktive, halbautomatische Artenbestimmung mit mobilen Endgeräten und vollautomatischer Kartierung: Bundesprogramm Biologische Vielfalt : Projektlaufzeit: 1. August 2014-31. Juli 2020
#!ilm_mods_00010975!#
Ilmenau : Technische Universität Ilmenau, 2020
DOI: https://doi.org/10.2314/KXP:1795523190
Ravi Kumar, Varun; Yogamani, Senthil; Bach, Markus; Witt, Christian; Milz, Stefan; Mäder, Patrick:
UnRectDepthNet: self-supervised monocular depth estimation using a generic framework for handling common camera distortion models
#!ilm_mods_00010136!#
In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (ISBN 978-1-72816-212-6), (2020), pp. 8177–8183
DOI: https://doi.org/10.1109/IROS45743.2020.9340732
Reinhold, Tom; Seeland, Marco; Grabmann, Martin; Paintz, Christian; Mäder, Patrick; Gläser, Georg:
Ain’t got time for this?: reducing manual evaluation effort with Machine Learning based Grouping of Analog Waveform Test Data
#!ilm_mods_00010246!#
In: ANALOG 2020: analoge Schaltungen: Schlüsselsysteme für Automotive, IoT und zukünftige drahtlose Technologien : Beiträge der 17. ITG/GMM-Fachtagung, 28.-30. September 2020, Online-Veranstaltung (ISBN 978-3-8007-5335-2), (2020), pp. 47–52
Ravi Kumar, Varun; Hiremath, Sandesh Athni; Bach, Markus; Milz, Stefan; Witt, Christian; Pinard, Clément; Yogamani, Senthil; Mäder, Patrick:
FisheyeDistanceNet: self-supervised scale-aware distance estimation using monocular fisheye camera for autonomous driving
#!ilm_mods_00010486!#
In: 2020 IEEE International Conference on Robotics and Automation (ICRA) (ISBN 978-1-7281-7394-8), (2020), pp. 574–581
DOI: https://doi.org/10.1109/ICRA40945.2020.9197319
Holtmann, Jörg; Steghöfer, Jan-Philipp; Rath, Michael; Schmelter, David:
Cutting through the jungle: disambiguating model-based traceability terminology
#!ilm_mods_00010405!#
In: 28th IEEE International Requirements Engineering Conference: RE′20 : Zurich, Switzerland, August 31-Septemer 4, 2020 : proceedings (ISBN 978-1-7281-7439-6), (2020), pp. 8–19
DOI: https://doi.org/10.1109/RE48521.2020.00014
Rath, Michael; Tomova, Mihaela Todorova; Mäder, Patrick:
SpojitR: intelligently link development artifacts
#!ilm_mods_00010830!#
In: SANER ’20: proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering : February 18-21, 2020, London, ON, Canada (ISBN 978-1-7281-5144-1), (2020), pp. 652–656
DOI: https://doi.org/10.1109/SANER48275.2020.9054839
Boho, David; Rzanny, Michael; Wäldchen, Jana; Nitsche, Fabian; Deggelmann, Alice; Wittich, Hans Christian; Seeland, Marco; Mäder, Patrick:
Flora Capture: a citizen science application for collecting structured plant observations
#!ilm_mods_00010872!#
In: BMC bioinformatics, vol. 21 (2020), art. 576
DOI: https://doi.org/10.1186/s12859-020-03920-9
König, Jörg; Chen, Minqian; Rösing, Wiebke; Boho, David; Mäder, Patrick; Cierpka, Christian:
On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV
#!ilm_mods_00010845!#
In: Measurement science and technology: devoted to the theory, practice and application of measurement in physics, chemistry, engineering and the environmental and life sciences from inception to commercial exploitation, vol. 31 (2020), no. 7, art. 74015
[13. International Symposium on Particle Image Velocimetry (PIV) (Munich, 22.-24.07.2019)]
DOI: https://doi.org/10.1088/1361-6501/ab7bfd
Döring, Ulf; Artelt, Benedikt:
Approach for the generation and evaluation of OOP-tasks during online training as well as paper based tests
#!ilm_mods_00010132!#
In: INTED 2020: 14th International Technology, Education and Development Conference, 2-4 March, 2020 - Valencia (Spain) : conference proceedings (ISBN 978-84-09-17939-8), (2020), pp. 5488–5494
DOI: https://doi.org/10.21125/inted.2020.1480
Döring, Ulf; Sommer, Oliver; Fincke, Sabine:
First experiences in the generation of reasonable feedback for Java beginners
#!ilm_mods_00010133!#
In: INTED 2020: 14th International Technology, Education and Development Conference, 2-4 March, 2020 - Valencia (Spain) : conference proceedings (ISBN 978-84-09-17939-8), (2020), pp. 4383–4389
DOI: https://doi.org/10.21125/inted.2020.1215
Janke, Mario; Kuschke, Tobias; Mäder, Patrick:
A definition-by-example approach and visual language for activity patterns in engineering disciplines
#!ilm_mods_00009160!#
In: PLOS ONE, vol. 15 (2020), no. 1, art. e0226877
DOI: https://doi.org/10.1371/journal.pone.0226877
Rath, Michael; Mäder, Patrick:
The SEOSS 33 dataset - requirements, bug reports, code history, and trace links for entire projects
#!ilm_mods_00000796!#
In: Data in Brief, vol. 25 (2019), art. 104005
DOI: https://doi.org/10.1016/j.dib.2019.104005
Döring, Ulf:
Aktuelle Möglichkeiten des Einsatzes von Struktogrammen als anschauliches Hilfsmittel beim Programmierenlernen
#!ilm_mods_00014492!#
In: Diversität und kulturelle Vielfalt - Differenzieren, Individualisieren - oder Integrieren?: Wege zu technischer Bildung : Referate der 13. Ingenieurpädagogischen Regionaltagung 2018 and der Hochschule Bochum vom 7.-9. Juni 2018 (ISBN 3-9818728-2-7), (2019), pp. 249–254
Brix, Torsten; Döring, Ulf:
15 Jahre Digitale Mechanismen- und Getriebebibliothek
#!ilm_mods_00014531!#
In: Tagungsband 13. Kolloquium Getriebetechnik: Fachhochschule Dortmund, 18. - 20. September 2019 (ISBN 3-8325-4979-X), (2019), pp. 3–18
Döring, Ulf; Artelt, Benedikt:
On the usefulness of animated structograms in teaching algorithms and programming
#!ilm_mods_00014533!#
In: Mobile technologies and applications for the internet of things: proceedings of the 12th IMCL Conference (ISBN 978-3-030-11434-3), (2019), pp. 34–46
DOI: https://doi.org/10.1007/978-3-030-11434-3
Rath, Michael; Tomova, Mihaela Todorova; Mäder, Patrick:
Selecting open source projects for traceability case studies
#!ilm_mods_00014528!#
In: Requirements engineering: foundation for software quality: 25th international working conference, REFSQ 2019, Essen, Germany, March 18-21, 2019 : proceedings (ISBN 978-3-030-15537-7), (2019), pp. 229–242
DOI: https://doi.org/10.1007/978-3-030-15538-4
Cierpka, Christian; Mäder, Patrick:
SmartPIV - Strömungsvisualisierung mit dem Smartphone in der Lehre
#!ilm_mods_00014544!#
In: Experimentelle Strömungsmechanik: 27. Fachtagung, 3.-5. September 2019, Erlangen (ISBN 978-3-9816764-6-4), (2019), art. 23
Döring, Ulf; Brix, Torsten; Artelt, Benedikt; Brandt-Salloum, Christiane:
Patents from the age of Prussian industrialization revived
#!ilm_mods_00014551!#
In: Advances in mechanism and machine science: proceedings of the 15th IFToMM World Congress on Mechanism and Machine Science (ISBN 978-3-030-20130-2), (2019), pp. 1223–1232
DOI: https://doi.org/10.1007/978-3-030-20131-9_120
Artelt, Benedikt; Brix, Torsten; Döring, Ulf:
THEDI - the first online editor for the IFToMM dictionary
#!ilm_mods_00014549!#
In: Advances in mechanism and machine science: proceedings of the 15th IFToMM World Congress on Mechanism and Machine Science (ISBN 978-3-030-20130-2), (2019), pp. 3511–3519
DOI: https://doi.org/10.1007/978-3-030-20131-9_346
Mohamed, Mohamed Elamir; Gotzig, Heinrich; Zöllner, Raoul; Mäder, Patrick:
A machine learning approach for detecting ultrasonic echoes in noisy environments
#!ilm_mods_00016556!#
In: 2019 IEEE 89th Vehicular Technology Conference (VTC Spring): proceedings : Kuala Lumpur, Malaysia, 28 April-1 May 2019 (ISBN 978-1-7281-1218-3), (2019)
DOI: https://doi.org/10.1109/VTCSpring.2019.8746680
Cierpka, Christian; König, Jörg; Chen, Minqian; Boho, David; Mäder, Patrick:
On the use of machine learning algorithms for the calibration of astigmatism PTV
#!ilm_mods_00016725!#
In: 13th International Symposium on Particle Image Velocimetry: ISPIV Munich 2019, July 22-24, 2019, Munich, Germany : conference proceedings (ISBN 978-3-943207-39-2), (2019), pp. 772–781
URL: https://athene-forschung.unibw.de/129121
Mohamed, Mohamed Elamir; Gotzig, Heinrich; Zöllner, Raoul; Mäder, Patrick:
A convolution neural network based machine learning approach for ultrasonic noise suppression with minimal distortion
#!ilm_mods_00016922!#
In: 2019 IEEE International Ultrasonics Symposium (IUS) (ISBN 978-1-72814-597-6), (2019), pp. 1629–1634
DOI: https://doi.org/10.1109/ULTSYM.2019.8925655
Döring, Ulf:
Ansatz zur automatischen Generierung von Java-OOP-Aufgaben inkl. Bewertungsschemen
#!ilm_mods_00016950!#
Bonn : Gesellschaft für Informatik e.V. (GI), 2019
[4. Workshop “Automatische Bewertung von Programmieraufgaben” (ABP) (Essen, 08.-09.10.2019)]
DOI: https://doi.org/10.18420/abp2019-9
Rath, Michael; Mäder, Patrick:
Structured information in bug report descriptions - influence on IR-based bug localization and developers
#!ilm_mods_00012156!#
In: Software quality journal, vol. 27 (2019), no. 3, pp. 1315–1337
DOI: https://doi.org/10.1007/s11219-019-09445-6
Hofmann, Martin; Seeland, Marco; Mäder, Patrick:
Efficiently annotating object images with absolute size information using mobile devices
#!ilm_mods_00013088!#
In: International journal of computer vision, vol. 127 (2019), no. 2, pp. 207–224
DOI: https://doi.org/10.1007/s11263-018-1093-3
Seeland, Marco; Rzanny, Michael Carsten; Boho, David; Wäldchen, Jana; Mäder, Patrick:
Image-based classification of plant genus and family for trained and untrained plant species
#!ilm_mods_00013091!#
In: BMC bioinformatics, vol. 20 (2019), no. 1, art. 4
DOI: https://doi.org/10.1186/s12859-018-2474-x
Döring, Ulf; Fincke, Sabine:
Scoring schemes for multiple-choice tests
#!ilm_mods_00015743!#
In: INTED 2019: 13th International Technology, Education and Development Conference, 11-13 March, 2019, Valencia (Spain) : conference proceedings (ISBN 978-84-09-08619-1), (2019), pp. 5835–5844
DOI: https://doi.org/10.21125/inted.2019.1433
Döring, Ulf; Artelt, Benedikt:
Web-based tools for interactive training in implementing JAVA methods
#!ilm_mods_00015744!#
In: INTED 2019: 13th International Technology, Education and Development Conference, 11-13 March, 2019, Valencia (Spain) : conference proceedings (ISBN 978-84-09-08619-1), (2019), pp. 3974–3979
DOI: https://doi.org/10.21125/inted.2019.1002
Kuang, Hongyu; Gao, Hui; Hu, Hao; Ma, Xiaoxing; Lü, Jian; Mäder, Patrick; Egyed, Alexander:
Using frugal user feedback with closeness analysis on code to improve IR-based traceability recovery
#!ilm_mods_00016744!#
In: ICPC 2019: 2019 IEEE/ACM 27th International Conference on Program Comprehension : proceedings : Montréal, Canada, 25 May 2019 (ISBN 978-1-72811-519-1), (2019), pp. 369–379
DOI: https://doi.org/10.1109/ICPC.2019.00055
Vehar, Darko; Nestler, Rico; Franke, Karl-Heinz:
Scene based camera pose estimation in Manhattan worlds
#!ilm_mods_00012424!#
In: Photonics and education in measurement science 2019: 17-19 September 2019, Jena, Germany (ISBN 978-1-5106-2982-0), (2019), art. 111440L
DOI: https://doi.org/10.1117/12.2530875
Rzanny, Michael Carsten; Mäder, Patrick; Chen, Minqian; Wäldchen, Jana; Deggelmann, Alice:
Flowers, leaves or both? How to obtain suitable images for automated plant identification
#!ilm_mods_00012952!#
In: Plant methods, vol. 15 (2019), no. 77, art. 77
DOI: https://doi.org/10.1186/s13007-019-0462-4
Wittich, Hans Christian; Seeland, Marco; Wäldchen, Jana; Rzanny, Michael Carsten; Mäder, Patrick:
Recommending plant taxa for supporting on-site species identification
#!ilm_mods_00013834!#
In: BMC bioinformatics, vol. 19 (2018), no. 1, art. 190
DOI: https://doi.org/10.1186/s12859-018-2201-7
Wäldchen, Jana; Rzanny, Michael Carsten; Seeland, Marco; Mäder, Patrick:
Automated plant species identification - trends and future directions
#!ilm_mods_00013971!#
In: PLoS computational biology: a new community journal, vol. 14 (2018), no. 4, art. e1005993
DOI: https://doi.org/10.1371/journal.pcbi.1005993
Wäldchen, Jana; Mäder, Patrick:
Machine learning for image based species identification
#!ilm_mods_00014298!#
In: Methods in ecology and evolution: MEE ; an official journal of the British Ecological Society, vol. 9 (2018), no. 11, pp. 2216–2225
DOI: https://doi.org/10.1111/2041-210X.13075
Dunker, Susanne; Boho, David; Wäldchen, Jana; Mäder, Patrick:
Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton
#!ilm_mods_00014781!#
In: BMC ecology, vol. 18 (2018), no. 1, art. 51
DOI: https://doi.org/10.1186/s12898-018-0209-5
Rath, Michael; Rendall, Jacob; Guo, Jin L.C.; Cleland-Huang, Jane; Mäder, Patrick:
Traceability in the wild: automatically augmenting incomplete trace links
#!ilm_mods_00016995!#
In: 2018 ACM/IEEE 40th International Conference on Software Engineering: ICSE 2018 : 27 May-3 June 2018, Gothenburg, Sweden : proceedings, (2018), pp. 834–845
DOI: https://doi.org/10.1145/3180155.3180207
Mäder, Patrick; Baumann, Tommy; Grüner, David:
Werkzeugunterstützte Methodik zur simulationsgetriebenen Entwicklung von komplexen Systemen und komplexer Software (SimDesign): KMU-Innovativ Verbundvorhaben : Projektlaufzeit: 1. September 2014-31. Dezember 2017
#!ilm_mods_00017652!#
Ilmenau, 2018
DOI: https://doi.org/10.2314/GBV:1035294915
Vehar, Darko; Nestler, Rico; Franke, Karl-Heinz:
Präzise Berechnung von Kameraposen in Manhattan-Welten
#!ilm_mods_00017887!#
In: 3D-NordOst 2018: Tagungsband : 21. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten : Berlin, 06./07. Dezember 2018 (ISBN 978-3-942709-19-4), (2018), pp. 15–24
Meder, Julian; Brüderlin, Beat:
Screen Space Approximate Gaussian Hulls
#!ilm_mods_00018562!#
In: Eurographics Symposium on Rendering 2018 - Experimental Ideas & Implementations: Karlsruhe, Germany, 1-4 July 2018 (ISBN 978-3-03868-068-0), (2018), pp. 107–115
DOI: https://doi.org/10.2312/sre.20181177
Meder, Julian; Brüderlin, Beat:
Hemispherical Gaussians for accurate light integration
#!ilm_mods_00018619!#
In: Computer Vision and Graphics: International Conference, ICCVG 2018, Warsaw, Poland, September 17 - 19, 2018, Proceedings (ISBN 978-3-030-00692-1), (2018), pp. 3–15
DOI: https://doi.org/10.1007/978-3-030-00692-1_1
Rath, Michael; Lo, David; Mäder, Patrick:
Analyzing requirements and traceability information to improve bug localization
#!ilm_mods_00017291!#
In: 2018 ACM/IEEE 15th International Conference on Mining Software Repositories: MSR 2018, Gothenburg, Sweden, 28-29 May 2018 : proceedings, (2018), pp. 442–453
DOI: https://doi.org/10.1145/3196398.3196415
Tomova, Mihaela Todorova; Rath, Michael; Mäder, Patrick:
Poster: Use of trace link types in issue tracking systems
#!ilm_mods_00020003!#
In: 2018 ACM/IEEE 40th International Conference on Software Engineering: companion proceeedings: ICSE-Companion 2018 : 27 May-3 June 2018, Gothenburg, Sweden : proceedings, (2018), pp. 181–182
DOI: https://doi.org/10.1145/3183440.3195086
Krishnamurthy, Rohan; Meinel, Michael; Haupt, Carina; Schreiber, Andreas; Mäder, Patrick:
DLR secure software engineering
#!ilm_mods_00020071!#
In: 2018 ACM/IEEE 1st International Workshop on Security Awareness from Design to Deployment: SEAD 2018 : 27 May 2018, Gothenburg, Sweden : proceedings, (2018), art. 8472854
DOI: https://doi.org/10.23919/SEAD.2018.8472854
Rath, Michael; Mäder, Patrick:
Influence of structured information in bug report descriptions on IR-based bug localization
#!ilm_mods_00020117!#
In: SEAA 2018: 44th Euromicro Conference on Software Engineering and Advanced Applications : 29-31 August 2018, Prague, Czech Republic : proceedings, (2018), art. 8498181
DOI: https://doi.org/10.1109/SEAA.2018.00014
Döring, Ulf; Fincke, Sabine:
Interaktive Ansätze zur Vermittlung von Programmierfähigkeiten im Rahmen des Ingenieurstudiums
#!ilm_mods_00016299!#
In: Digitalisierung in der Techniklehre: ihr Beitrag zum Profil technischer Bildung : Wege zu technischer Bildung : Referate der 12. Ingenieurpädagogischen Regionaltagung 2017 an der Technischen Universität Ilmenau vom 11.-13. Mai 2017 (ISBN 3-9818728-1-9), (2017), pp. 171–176
Antakli, André; Moya, Pablo Alvarado; Brüderlin, Beat; Canzler, Ulrich; Alvarado Moya, Pablo [et al.]:
Virtuelle Techniken und Semantic-Web: Stand der Wissenschaft und Technik
#!ilm_mods_00018384!#
In: Web-basierte Anwendungen Virtueller Techniken: das ARVIDA-Projekt – Dienste-basierte Software-Architektur und Anwendungsszenarien für die Industrie. - Berlin : Springer Vieweg, 2017, pp. 17–116
DOI: https://doi.org/10.1007/978-3-662-52956-0_2
Seeland, Marco; Rzanny, Michael Carsten; Alaqraa, Nedal; Wäldchen, Jana; Mäder, Patrick:
Plant species classification using flower images - a comparative study of local feature representations
#!ilm_mods_00017387!#
In: PLOS ONE, vol. 12 (2017), no. 2, art. e0170629
DOI: https://doi.org/10.1371/journal.pone.0170629
Böse, Ralf:
Eine Klassenhierarchie zur Visualisierung wissenschaftlich technische Daten: Thesenpapier
#!ilm_mods_00018872!#
In: Neue Architekturkonzepte zur Gestaltung graphischer Systeme: GI-Workshop ; Bonn, November 1993 ; proceedings (ISBN 3-88457-223-7), (1993), pp. 90–91
Beier, Ekkehard:
Multiple Erweiterungsmöglichkeiten graphischer Systeme durch objekt-orientierte Konzepte
#!ilm_mods_00018958!#
In: Neue Architekturkonzepte zur Gestaltung graphischer Systeme: GI-Workshop ; Bonn, November 1993 ; proceedings (ISBN 3-88457-223-7), (1993), pp. 41–50
Kolev, Emil; Böse, Ralf; Beier, Ekkehard:
Simulation des Schwingungsverhaltens gekoppelter Schwinger der Feinwerktechnik
#!ilm_mods_00018976!#
In: Tendenzen in der Entwicklung, Konstruktion und Anwendung der Feinwerktechnik und Mikrotechnik: Internationales Wissenschaftliches Kolloquium der Technischen Universität Ilmenau 20. bis 23. September 1993 ; [Tagungsband], (1993), pp. 671–685
