Alexander Rosenberg Johansen

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Escherichia Coli

Top Venues

Publications

Renee D. White, Tristan Peng, Pann Sripitak, Alexander Rosenberg Johansen, Michael Snyder
CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions. GoodIT (2023)
Renee D. White, Tristan Peng, Pann Sripitak, Alexander Rosenberg Johansen, Michael Snyder
CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions. CoRR (2023)
Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Henrik Nielsen, Ole Winther
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models. Nucleic Acids Res. 50 (W1) (2022)
Vineet Thumuluri, Hannah-Marie Martiny, José Juan Almagro Armenteros, Jesper Salomon, Henrik Nielsen, Alexander Rosenberg Johansen
NetSolP: predicting protein solubility in Escherichia coli using language models. Bioinform. 38 (4) (2022)
Hannah-Marie Martiny, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Jesper Salomon, Henrik Nielsen
Deep protein representations enable recombinant protein expression prediction. Comput. Biol. Chem. 95 (2021)
Jeppe Johan Waarkjær Olsen, Peter Ebert Christensen, Martin Hangaard Hansen, Alexander Rosenberg Johansen
Autoencoding undirected molecular graphs with neural networks. CoRR (2020)
Andreas Madsen, Alexander Rosenberg Johansen
Neural Arithmetic Units. CoRR (2020)
Andreas Madsen, Alexander Rosenberg Johansen
Neural Arithmetic Units. ICLR (2020)
Andreas Madsen, Alexander Rosenberg Johansen
Measuring Arithmetic Extrapolation Performance. CoRR (2019)
Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby
An introduction to deep learning on biological sequence data: examples and solutions. Bioinform. 33 (22) (2017)
Alexander Rosenberg Johansen, Richard Socher
Learning when to skim and when to read. CoRR (2017)
Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. BCB (2017)
Alexander Rosenberg Johansen, Richard Socher
Learning when to skim and when to read. Rep4NLP@ACL (2017)
Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
Epileptiform spike detection via convolutional neural networks. ICASSP (2016)
Alexander Rosenberg Johansen, Jonas Meinertz Hansen, Elias Khazen Obeid, Casper Kaae Sønderby, Ole Winther
Neural Machine Translation with Characters and Hierarchical Encoding. CoRR (2016)