Joseph D. Romano

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 13

Top Topics

Machine Learning

Recurrent Neural Networks

Top Venues

Publications

Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore
Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. GECCO Companion (2023)
Yun Hao, Joseph D. Romano, Jason H. Moore
Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns 3 (9) (2022)
Joseph D. Romano, Trang T. Le, William G. La Cava, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. Bioinform. 38 (3) (2022)
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. Genet. Program. Evolvable Mach. 22 (2) (2021)
Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. CoRR (2020)
Joseph D. Romano, Jason H. Moore
Ten simple rules for writing a paper about scientific software. PLoS Comput. Biol. 16 (11) (2020)
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
Is deep learning necessary for simple classification tasks? CoRR (2020)
Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. BMC Bioinform. 21 (1) (2020)
Jeffrey S. Hazboun, Joseph D. Romano, Tristan L. Smith
Hasasia: A Python package for Pulsar Timing Array Sensitivity Curves. J. Open Source Softw. 4 (42) (2019)
Phyllis M. Thangaraj, Fernanda C. Polubriaginof, Benjamin Kummer, Rami Vanguri, Tal Lorberbaum, Joseph D. Romano, Kayla Quinnies, Alexandre Yahi, Mitchell S. V. Elkind, Nicholas P. Tatonetti
Using model classifications as quantitative traits to estimate stroke heritability. AMIA (2018)
Joseph D. Romano, Kenrick Cato, Rami Vanguri, Nicholas P. Tatonetti
Deep recurrent neural networks identify transgender patients. AMIA (2017)
Kenrick Cato, Joseph D. Romano, Rami Vanguri, Nicholas P. Tatonetti
The Use of Informatics to Reduce Disparities in Transgender Health. AMIA (2017)
Joseph D. Romano, William G. Tharp, Indra Neil Sarkar
Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships. J. Biomed. Informatics 54 (2015)