default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID5th NLDL 2022 [virtual]
- Niranjan Balachandran, R. Inkulu:
Algorithms and Discrete Applied Mathematics - 8th International Conference, CALDAM 2022, Puducherry, India, February 10-12, 2022, Proceedings. Lecture Notes in Computer Science 13179, Springer 2022, ISBN 978-3-030-95017-0 - Beatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel:
The effect of dataset confounding on predictions of deep neural networks for medical imaging. - Luca Tomasetti, Mahdieh Khanmohammadi
, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz:
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. - Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad:
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. - Jakob L. Christensen, Patrick Møller Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Andersen Dahl:
LayeredCNN: Segmenting Layers with Autoregressive Models. - Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen:
Deep Reinforcement Learning for Detection of Abnormal Anatomies. - Adrien Morisot:
Add a SideNet to your MainNet. - Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. - Malte Pedersen, Joakim Bruslund Haurum, Thomas B. Moeslund, Marianne Nyegaard:
Re-Identification of Giant Sunfish using Keypoint Matching. - Øivind Due Trier, Arnt-Børre Salberg, Ragnvald Larsen, Ole Torbjørn Nyvoll:
Detection of forest roads in Sentinel-2 images using U-Net. - Miquel Martí, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. - Martijn Vermeer, David Völgyes, Malcolm McMillan, Daniele Fantin:
CryoSat-2 waveform classification for melt event monitoring. - Sarang Shaikh, Sule Yildirim Yayilgan, Erjon Zoto, Mohamed Abomhara:
Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer Approach. - Onatkut Dagtekin, Nina Dethlefs:
Modelling Phytoplankton Behaviour in the North and Irish Sea with Transformer Networks. - Alexandru Mocanu, Benjamin Ricaud, Milos Cernak:
Fast accuracy estimation of deep learning based multi-class musical source separation. - Marius Cervera Landsverk, Signe Riemer-Sørensen:
Mutual information estimation for graph convolutional neural networks. - Bjørn Schreblowski Hansen, Mathias Micheelsen Lowes, Thomas Ørkild, Anders B. Dahl, Vedrana Andersen Dahl, Ole De Backer, Oscar Camara, Rasmus R. Paulsen, Christian Keilstrup Ingwersen, Kristine Sørensen:
SparseMeshCNN with Self-Attention for Segmentation of Large Meshes. - Zifu Wang, Matthew B. Blaschko:
Optimizing Slimmable Networks for Multiple Target Platforms. - Cosimo Persia, Ana Ozaki:
Extracting Rules from Neural Networks with Partial Interpretations. - Juan Cardenas-Cartagena, Mohamed Elnourani, Baltasar Beferull-Lozano:
Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models. - Alex Romanova:
Unsupervised Time Series Classification for Climate Data. - Helena Peic Tukuljac, Benjamin Ricaud, Nicolas Aspert, Laurent Colbois:
Learnable filter-banks for CNN-based audio applications. - Muhammad Sarmad, Leonardo Ruspini, Frank Lindseth:
Photo-Realistic Continuous Image Super-Resolution with Implicit Neural Networks and Generative Adversarial Networks. - Jonas Schulz, Raúl Santos-Rodríguez, Rafael Poyiadzi:
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. - Tosin P. Adewumi, Rickard Brännvall, Nosheen Abid, Maryam Pahlavan, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki:
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning. - Fredrik A. Dahl, Marit Holden, Olav Brautaset, Line Eikvil:
A mammography classification model trained from image labels only. - Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger:
Surrogate-data-enriched Physics-Aware Neural Networks. - Tobias Engelhardt Rasmussen, Line Katrine Harder Clemmensen, Andreas Baum:
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications. - Silvester Sabathiel, Trygve Solstad, Alberto Testolin, Flavio Petruzzellis:
Self-Communicating Deep Reinforcement Learning Agents Develop External Number Representations.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-22 19:48 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
