Cikkek nyilvánosan hozzáférhető megbízással - Hans A. KestlerTovábbi információ
ÖsszesenDFGBMBFEuropean CommissionNIHLeibniz AssociationMRCWellcomeGovernment of ItalyFWFHelmholtzDFFAcademy of FinlandINSERMSwedish Research CouncilBHFDiabetes UKZonMwANRAHACIHRGenome CanadaVolkswagen FoundationSFITelethonNWOKnut and Alice Wallenberg FoundationAlzheimers's UKDMTNIHRRCNDoris Duke Charitable FoundationSCFHFSP
Sehol sem hozzáférhető: 33
RUNX1 mutations in acute myeloid leukemia are associated with distinct clinico-pathologic and genetic features
VI Gaidzik, V Teleanu, E Papaemmanuil, D Weber, P Paschka, J Hahn, ...
Leukemia 30 (11), 2160-2168, 2016
Megbízások: German Research Foundation, Federal Ministry of Education and Research, Germany
Chitinase enzyme activity in CSF is a powerful biomarker of Alzheimer disease
M Watabe-Rudolph, Z Song, L Lausser, C Schnack, Y Begus-Nahrmann, ...
Neurology 78 (8), 569-577, 2012
Megbízások: German Research Foundation, Dunhill Medical Trust, UK
The phosphatase of regenerating liver 3 (PRL-3) promotes cell migration through Arf-activity-dependent stimulation of integrin α5 recycling
D Krndija, C Münzberg, U Maass, M Hafner, G Adler, HA Kestler, ...
Journal of cell science 125 (16), 3883-3892, 2012
Megbízások: German Research Foundation
Detection of herpesvirus capsids in transmission electron microscopy images using transfer learning
KS Devan, P Walther, J von Einem, T Ropinski, HA Kestler, C Read
Histochemistry and cell biology 151, 101-114, 2019
Megbízások: German Research Foundation
Big data and precision medicine: challenges and strategies with healthcare data
JM Kraus, L Lausser, P Kuhn, F Jobst, M Bock, C Halanke, M Hummel, ...
International Journal of Data Science and Analytics 6, 241-249, 2018
Megbízások: German Research Foundation, Federal Ministry of Education and Research, Germany
On the effects of constraints in semi-supervised hierarchical clustering
HA Kestler, JM Kraus, G Palm, F Schwenker
Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop …, 2006
Megbízások: German Research Foundation
Differences in expression and function of LEF1 isoforms in normal versus leukemic hematopoiesis
K Feder, K Edmaier-Schröger, VPS Rawat, N Kirsten, K Metzeler, ...
Leukemia 34 (4), 1027-1037, 2020
Megbízások: German Research Foundation
Multi-objective selection for collecting cluster alternatives
JM Kraus, C Müssel, G Palm, HA Kestler
Computational Statistics 26, 341-353, 2011
Megbízások: German Research Foundation
On the fusion of threshold classifiers for categorization and dimensionality reduction
HA Kestler, L Lausser, W Lindner, G Palm
Computational Statistics 26, 321-340, 2011
Megbízások: German Research Foundation
The influence of multi-class feature selection on the prediction of diagnostic phenotypes
L Lausser, R Szekely, LR Schirra, HA Kestler
Neural Processing Letters 48, 863-880, 2018
Megbízások: German Research Foundation, Federal Ministry of Education and Research, Germany
Treatment planning in PRRT based on simulated PET data and a PBPK model
D Hardiansyah, W Guo, AA Attarwala, P Kletting, FM Mottaghy, G Glatting
Nuklearmedizin-NuclearMedicine 56 (01), 23-30, 2017
Megbízások: German Research Foundation, Federal Ministry of Education and Research, Germany
Detecting ordinal class structures
R Lattke, L Lausser, C Müssel, HA Kestler
Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015
Megbízások: German Research Foundation
Search heuristics and the influence of non-perfect randomness: examining Genetic Algorithms and Simulated Annealing
M Maucher, U Schöning, HA Kestler
Computational Statistics 26, 303-319, 2011
Megbízások: German Research Foundation
Selection stability as a means of biomarker discovery in classification
LR Schirra, L Lausser, HA Kestler
Analysis of large and complex data, 79-89, 2016
Megbízások: German Research Foundation
Robustness analysis of eleven linear classifiers in extremely high–dimensional feature spaces
L Lausser, HA Kestler
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 72-83, 2010
Megbízások: German Research Foundation
Exhaustive k-nearest-neighbour subspace clustering
JM Kraus, L Lausser, HA Kestler
Journal of Statistical Computation and Simulation 85 (1), 30-46, 2015
Megbízások: German Research Foundation
RINT1 regulates SUMOylation and the DNA damage response to preserve cellular homeostasis in pancreatic cancer
F Arnold, J Gout, H Wiese, SE Weissinger, E Roger, L Perkhofer, K Walter, ...
Cancer Research 81 (7), 1758-1774, 2021
Megbízások: US National Institutes of Health, German Research Foundation
Inflammation, regeneration, and transformation in the pancreas: results of the Collaborative Research Center 518 (SFB 518) at the University of Ulm
K Giehl, M Bachem, M Beil, BO Böhm, V Ellenrieder, S Fulda, TM Gress, ...
Pancreas 40 (4), 489-502, 2011
Megbízások: German Research Foundation
Unlabeling data can improve classification accuracy
L Lausser, F Schmid, M Schmid, HA Kestler
Pattern Recognition Letters 37, 15-23, 2014
Megbízások: German Research Foundation
Introducing bidirectional ordinal classifier cascades based on a pain intensity recognition scenario
P Bellmann, L Lausser, HA Kestler, F Schwenker
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
Megbízások: German Research Foundation, Federal Ministry of Education and Research, Germany
A publikációs és a finanszírozási adatokat számítógépes program határozza meg, automatikusan.