Biblio
Export 101 results:
Author Title Type [ Year] Filters: First Letter Of Last Name is D [Clear All Filters]
Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data.
ISPRS Journal of Photogrammetry and Remote Sensing. 168, 156 - 169.
(2020). Integrating uncertainty in deep neural networks for MRI based stroke analysis.
Medical Image Analysis. 65, 101790.
(2020). Ordinal neural network transformation models: deep and interpretable regression models for ordinal outcomes.
arXiv e-prints. 2010.08376.
(2020).
(2020).
(2020). Single Shot MC Dropout Approximation.
ICML Workshop on Uncertainty and Robustness in Deep Learning.
(2020). Beyond ImageNet: Deep Learning in Industrial Practice.
Applied Data Science. 205-232.
(2019).
(2019). Automatic classification of non-small cell lung cancer histologic sub-types by deep learning.
VIRCHOWS ARCHIV. 108-108.
(2018). Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 333–345. ANNPR_2018b.pdf (692.47 KB)
(2018). Developing deep learning applications for life science and pharma industry.
Drug research. 68, 305–310.
(2018). Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes.
Assay and drug development technologies. 16, 343–349. adt.2018.859.pdf (711.06 KB)
(2018). Learning Neural Models for End-to-End Clustering.
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 126–138. ANNPR_2018a.pdf (3.43 MB)
(2018). Learning to Cluster.
learning_to_cluster.pdf (1.82 MB)
(2018). Learning embeddings for speaker clustering based on voice equality.
Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on. 1–6. MLSP_2017.pdf (1.34 MB)
(2017). Analyzing environmental conditions and vital signs to increase healthy living.
Mobile Networks for Biometric Data Analysis.
(2016). Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks.
Journal of biomolecular screening. 21, 998–1003.
(2016). Speaker Identification and Clustering using Convolution Neural Networks.
IEEE International workshop on Machine Learning for Signal Processing.
(2016). Deep Learning on a Raspberry Pi for Real Time Face Recognition..
Eurographics (Posters). 11–12.
(2015). Gene expression signatures predictive of bevacizumab/erlotinib therapeutic benefit in advanced non-squamous non-small cell lung cancer patients (SAKK 19/05 trial).
Clinical Cancer Research. clincanres––3135.
(2015). Gene expression signatures predictive of bevacizumab/erlotinib therapeutic benefit in advanced non-squamous non-small cell lung cancer patients (SAKK 19/05 trial).
Clinical Cancer Research. clincanres––3135.
(2015). On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 181-201. OnlineCADReconst.pdf (3.18 MB)
(2015). Support Vector Machines for Classification of Geometric Primitives in Point Clouds.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 80-95. Caputo et al_2015_Support vector machines for classification of geometric primitives in point clouds.pdf (2.64 MB)
(2015). A Virtual-Reality 3d-Laser-Scan Simulation.
BW-CAR| SINCOM. 68.
(2015).
(2014).