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Patterns (New York, N.Y.)|July 18, 2022
On the sui generis value capture of new digital technologies: The case of AIEmre Kazim, Enzo Fenoglio, Airlie Hilliard, et al.Patterns (New York, N.Y.)|July 18, 2022
Are we ready for a new paradigm shift? A survey on visual deep MLPRuiyang Liu, Yinghui Li, Linmi Tao, et al.Patterns (New York, N.Y.)|July 18, 2022
Looking back on forward-looking COVID modelsPaul Chong, Byung-Jun Yoon, Debbie Lai, et al.Patterns (New York, N.Y.)|July 18, 2022
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platformZhen Xu, Sergio Escalera, Adrien Pavão, et al.Patterns (New York, N.Y.)|September 23, 2021
Situated language learning via interactive narrativesPrithviraj Ammanabrolu, Mark O RiedlPatterns (New York, N.Y.)|September 23, 2021
The role of metadata in reproducible computational researchJeremy Leipzig, Daniel Nüst, Charles Tapley Hoyt, et al.Patterns (New York, N.Y.)|September 23, 2021
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshakeAbhijit Gupta, Mandar Kulkarni, Arnab MukherjeePatterns (New York, N.Y.)|September 23, 2021
Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order momentsN Alexia Raharinirina, Felix Peppert, Max von Kleist, et al.Patterns (New York, N.Y.)|September 23, 2021
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health recordsJessica K De Freitas, Kipp W Johnson, Eddye Golden, et al.Patterns (New York, N.Y.)|September 23, 2021
A quick battery charging curve prediction by artificial neural networkMd Sazzad HosenPageof 92