Alexander Rosenberg Johansen

According to our database, Alexander Rosenberg Johansen authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions.

Renee D. White, Tristan Peng, Pann Sripitak, Alexander Rosenberg Johansen, Michael Snyder

Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

2022

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models.

Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Henrik Nielsen, Ole Winther

Nucleic Acids Res., 2022

NetSolP: predicting protein solubility in Escherichia coli using language models.

Vineet Thumuluri, Hannah-Marie Martiny, José Juan Almagro Armenteros, Jesper Salomon, Henrik Nielsen, Alexander Rosenberg Johansen

Bioinform., 2022

2021

Deep protein representations enable recombinant protein expression prediction.

Hannah-Marie Martiny, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Jesper Salomon, Henrik Nielsen

Comput. Biol. Chem., 2021

2020

Autoencoding undirected molecular graphs with neural networks.

Jeppe Johan Waarkjær Olsen, Peter Ebert Christensen, Martin Hangaard Hansen, Alexander Rosenberg Johansen

CoRR, 2020

Neural Arithmetic Units.

Andreas Madsen, Alexander Rosenberg Johansen

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Measuring Arithmetic Extrapolation Performance.

Andreas Madsen, Alexander Rosenberg Johansen

CoRR, 2019

2017

An introduction to deep learning on biological sequence data: examples and solutions.

Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby

Bioinform., 2017

Learning when to skim and when to read.

Alexander Rosenberg Johansen, Richard Socher

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction.

Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Neural Machine Translation with Characters and Hierarchical Encoding.

Alexander Rosenberg Johansen, Jonas Meinertz Hansen, Elias Khazen Obeid, Casper Kaae Sønderby, Ole Winther

CoRR, 2016

Epileptiform spike detection via convolutional neural networks.

Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016