Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2019Genetic dissection of grain elements predicted by hyperspectral imaging associated with yield-related traits in a wild barley NAM population
Herzig, P.; Backhaus, A.; Seiffert, U.; Wirén, N. von; Pillen, K.; Maurer, A.
Journal Article
2018Characterization of barley NAM population HEB-25 with the field phenotyping platform "Agrover"
Schmidt, Maria; Klück, Hans-Christian; Backhaus, Andreas; Brauch, Dominic; Mock, HansâPeter; Seiffert, Udo; Pillen, Klaus
Poster
2018Manipulationseinrichtung zum Greifen eines Körpers
Backhaus, Andreas; Herzog, Andreas; Müller, Veit; Saenz, José; Seiffert, Udo
Patent
2018System und Verfahren zum Erfassen von Messbildern eines Messobjekts
Backhaus, Andreas; Herzog, Andreas; Seiffert, Udo
Patent
2017Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities
Kaden, Marika; Nebel, David; Melchert, Friedrich; Backhaus, Andreas; Seiffert, Udo; Villmann, Thomas
Conference Paper
2017Genetic regulation of growth and nutrient content under phosphorus deficiency in the wild barley introgression library S42IL
Soleimani, Behnaz; Sammler, Ralf; Backhaus, Andreas; Beschow, Heidrun; Schumann, Erika; Mock, Hans-Peter; Wirén, Nicolaus von; Seiffert, Udo; Pillen, Klaus
Journal Article
2017Phenoliner: A new field phenotyping platform for grapevine research
Kicherer, Anna; Herzog, Katja; Bendel, Nele; Klück, Hans-Christian; Backhaus, Andreas; Wieland, Markus; Rose, Johann Christian; Klingbeil, Lasse; Läbe, Thomas; Hohl, Christian; Petry, Willi; Kuhlmann, Heiner; Seiffert, Udo; Töpfer, Reinhard
Journal Article
2017Use Cases of Data Analytics in the Process Industry
Zobel, Nico; Backhaus, Andreas; Herzog, Andreas
Presentation
2017Use cases of predictive modeling in the process industry
Zobel, Nico; Backhaus, Andreas; Herzog, Andreas
Presentation
2016Datenanalyse – Fallbeispiele von KMUs aus der Prozessindustrie
Zobel, Nico; Backhaus, Andreas; Herzog, Andreas
Journal Article
2016Identification and classification of contaminations on wafers using hyperspectral imaging
Turek, M.; Backhaus, A.; Meyer, S.; Seiffert, U.
Journal Article, Conference Paper
2016Non-invasive presymptomatic detection of Cercospora beticola infection and identification of early metabolic responses in sugar beet
Arens, N.; Backhaus, A.; Döll, S.; Fischer, S.; Seiffert, U.; Mock, H.-P.
Journal Article
2015Evaluation of fusion methods for gamma-divergence-based neural network ensembles
Knauer, U.; Backhaus, A.; Seiffert, U.
Conference Paper
2015Fusion trees for fast and accurate classification of hyperspectral data with ensembles of gamma-divergence-based RBF networks
Knauer, Uwe; Backhaus, Andreas; Seiffert, Udo
Journal Article
2014Beyond standard metrics - on the selection and combination of distance metrics for an improved classification of hyperspectral data
Knauer, Uwe; Backhaus, Andreas; Seiffert, Udo
Conference Paper
2014Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size
Backhaus, Andreas; Seiffert, Udo
Journal Article
2014Erweiterung hyperspektraler Bildgebung auf Mikroskopie
Holstein, Katharina; Herzog, Andreas; Backhaus, Andreas; Seiffert, Udo
Book Article
2013Comprehensive, non-invasive, and quantitative monitoring of the health and nutrition state of crop plants by means of hyperspectral imaging and computational intelligence based analysis intelligence based analysis
Backhaus, Andreas; Seiffert, Udo
Conference Paper
2013Processing hyperspectral data in machine learning
Villmann, Thomas; Kästner, Marika; Backhaus, Andreas; Seiffert, Udo
Conference Paper
2013Quantitative measurements of model interpretability for the analysis of spectral data
Backhaus, Andreas; Seiffert, Udo
Conference Paper
2013Softsensorik zum berührungslosen Messen im Hochdurchsatz
Backhaus, Andreas; Herzog, Andreas; Knauer, Uwe; Seiffert, Udo
Book Article
2012Classification in high-dimensional spectral data - precision vs. interpretability vs. model size
Backhaus, A.; Seiffert, U.
Journal Article
2012Classifying scotch whisky from near-infrared Raman spectra with a radial basis function network with relevance learning
Backhaus, A.; Ashok, P.C.; Praveen, B.B.; Dholakia, K.; Seiffert, U.
Conference Paper
2012Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting
Backhaus, A.; Lachmair, J.; Rückert, U.; Seiffert, U.
Conference Paper
2011Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries
Heinke, D.; Backhaus, A.
Journal Article
2011A multivariate wavelet-PCA denoising-filter for hyperspectral images
Bollenbeck, F.; Backhaus, A.; Seiffert, U.
Conference Paper
2011Relevance learning in unsupervised vector quantization based on divergences
Kästner, M.; Backhaus, A.; Geweniger, T.; Haase, S.; Seiffert, U.; Villmann, T.
Conference Paper
2011Robust classification of the nutrition state in crop plants by hyperspectral imaging and artificial neural networks
Backhaus, A.; Bollenbeck, F.; Seiffert, U.
Conference Paper
2010LEAFPROCESSOR: a new leaf phenotyping tool using contour bending energy and shape cluster analysis
Backhaus, A.; Kuwabara, A.; Bauch, M.; Monk, N.; Sanguinetti, G.; Fleming, A.
Journal Article
2010Validation of unsupervised clustering methods for leaf phenotype screening
Backhaus, A.; Kuwabara, A.; Fleming, A.; Seiffert, U.
Conference Paper