Publications | Lund University Publications

161 – 170 of 177

show: 10
|
sort: year (new to old)

News feed Embed this list Save this search Mark all Export

Cancel

Embed this list

copy and paste the html snippet below into your own page:

<iframe src="https://lup.lub.lu.se/search/publication?embed=1&q=keywords+exact+%22Deep+learning%22&amp;hide_pagination=1&amp;hide_info=1&amp;hide_options=1"
  width="100%"
  height="400"
  allowtransparency="true"
  frameborder="0">
</iframe>

« previous
1
2
…
15
16
17
18
next »

2019
Mark Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
Rodriguez-Ruiz, Alejandro ; Lång, Kristina ^LU ; Gubern-Merida, Albert ; Teuwen, Jonas ; Broeders, Mireille ; Gennaro, Gisella ; Clauser, Paola ; Helbich, Thomas H. ; Chevalier, Margarita and Mertelmeier, Thomas , et al. (2019) In European Radiology 29(9). p.4825-4832
- Contribution to journal › Article
Mark Spatio-temporal patterns of traffic-related air pollutant emissions in different urban functional zones estimated by real-time video and deep learning technique
Song, Jinchao ; Zhao, Chunli ^LU ; Lin, Tao ; Li, X. and Prishchepov, Alexander V. (2019) In Journal of Cleaner Production 238.
- Contribution to journal › Article
Mark Catastrophic child's play : Easy to perform, hard to defend adversarial attacks
Ho, Chih Hui ; Leung, Brandon ; Sandstrom, Erik ; Chang, Yen and Vasconcelos, Nuno (2019) 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019 In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019-June. p.9221-9229
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Abiri, Najmeh ^LU ; Linse, Björn ^LU ; Edén, Patrik ^LU and Ohlsson, Mattias ^LU (2019) In Neurocomputing 365. p.137-146
- Contribution to journal › Article
Mark Statistical inference and time-frequency estimation for non-stationary signal classification
Anderson, Rachele ^LU (2019) In Doctoral Theses in Mathematical Sciences 2019(5).
- Thesis › Doctoral thesis (compilation)
Mark PTPD : Predicting therapeutic peptides by deep learning and word2vec
Wu, Chuanyan ^LU ; Gao, Rui ; Zhang, Yusen and De Marinis, Yang ^LU (2019) In BMC Bioinformatics 20(1).
- Contribution to journal › Article
Mark Statistical inference with deep latent variable models
Abiri, Najmeh ^LU (2019)
- Thesis › Doctoral thesis (compilation)
Mark Comparison of different augmentation techniques for improved generalization performance for gleason grading
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Astrom, Kalle ^LU and Heyden, Anders ^LU (2019) 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 p.923-927
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
Tall, Kasper ; Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Åström, Karl ^LU and Heyden, Anders ^LU (2019) Medical Imaging 2019: Physics of Medical Imaging 10956.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark MistNet : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
Lin, Tsung Yu ; Winner, Kevin ; Bernstein, Garrett ; Mittal, Abhay ; Dokter, Adriaan M. ; Horton, Kyle G. ; Nilsson, Cecilia ^LU ; Van Doren, Benjamin M. ; Farnsworth, Andrew and La Sorte, Frank A. , et al. (2019) In Methods in Ecology and Evolution 10(11). p.1908-1922
- Contribution to journal › Article

« previous
1
2
…
15
16
17
18
next »

your query:: Remove keywords: Deep learning