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5th 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.
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