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2020 – today
- 2023
[c7]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: 396-402- [i7]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 abs/2307.14522 (2023) - 2022
- [j4]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): 941-946 (2022) - [j3]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): 228-234 (2022) - 2021
- [j2]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: 107596 (2021) - 2020
- [c6]Ali Mohebbi, Alexander Rosenberg Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup:
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. EMBC 2020: 5140-5145 - [c5]Andreas Madsen, Alexander Rosenberg Johansen:
Neural Arithmetic Units. ICLR 2020 - [i6]Jeppe Johan Waarkjær Olsen, Peter Ebert Christensen, Martin Hangaard Hansen, Alexander Rosenberg Johansen:
Autoencoding undirected molecular graphs with neural networks. CoRR abs/2001.03517 (2020) - [i5]Andreas Madsen, Alexander Rosenberg Johansen:
Neural Arithmetic Units. CoRR abs/2001.05016 (2020) - [i4]Ali Mohebbi, Alexander Rosenberg Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup:
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. CoRR abs/2002.02805 (2020)
2010 – 2019
- 2019
- [i3]Andreas Madsen, Alexander Rosenberg Johansen:
Measuring Arithmetic Extrapolation Performance. CoRR abs/1910.01888 (2019) - 2017
- [j1]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): 3685-3690 (2017) - [c4]Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther:
Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. BCB 2017: 73-78 - [c3]Ali Mohebbi, Tinna B. Aradottir, Alexander Rosenberg Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup:
A deep learning approach to adherence detection for type 2 diabetics. EMBC 2017: 2896-2899 - [c2]Alexander Rosenberg Johansen, Richard Socher:
Learning when to skim and when to read. Rep4NLP@ACL 2017: 257-264 - [i2]Alexander Rosenberg Johansen, Richard Socher:
Learning when to skim and when to read. CoRR abs/1712.05483 (2017) - 2016
- [c1]Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Epileptiform spike detection via convolutional neural networks. ICASSP 2016: 754-758 - [i1]Alexander Rosenberg Johansen, Jonas Meinertz Hansen, Elias Khazen Obeid, Casper Kaae Sønderby, Ole Winther:
Neural Machine Translation with Characters and Hierarchical Encoding. CoRR abs/1610.06550 (2016)
Coauthor Index
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