Epileptiform spike detection via convolutional neural networks. - Alexander Rosenberg Johansen; Jing Jin 004; Tomasz Maszczyk; Justin Dauwels; Sydney S. Cash; M. Brandon Westover (ICASSP, 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)

Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. - Alexander Rosenberg Johansen; Casper Kaae Sønderby; Søren Kaae Sønderby; Ole Winther (BCB, 2017)

A deep learning approach to adherence detection for type 2 diabetics. - Ali Mohebbi 001; Tinna B. Aradottir; Alexander Rosenberg Johansen; Henrik Bengtsson; Marco Fraccaro; Morten Mørup (EMBC, 2017)

Learning when to skim and when to read. - Alexander Rosenberg Johansen; Richard Socher (Rep4NLP@ACL, 2017)

An introduction to deep learning on biological sequence data: examples and solutions. - Vanessa Isabell Jurtz; Alexander Rosenberg Johansen; Morten Nielsen 001; José Juan Almagro Armenteros; Henrik Nielsen; Casper Kaae Sønderby; Ole Winther; Søren Kaae Sønderby (Bioinform., 2017)

Measuring Arithmetic Extrapolation Performance. - Andreas Madsen; Alexander Rosenberg Johansen (CoRR, 2019)

Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. - Ali Mohebbi 001; Alexander Rosenberg Johansen; Nicklas Hansen 002; Peter Ebert Christensen; Jens Magelund Tarp; Morten Lind Jensen; Henrik Bengtsson; Morten Mørup (EMBC, 2020)

Neural Arithmetic Units. - Andreas Madsen; Alexander Rosenberg Johansen (ICLR, 2020)

Autoencoding undirected molecular graphs with neural networks. - Jeppe Johan Waarkjær Olsen; Peter Ebert Christensen; Martin Hangaard Hansen; Alexander Rosenberg Johansen (CoRR, 2020)

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)

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)

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)

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 001 (GoodIT, 2023)