Joseph D. Romano

18 papers A* 1Misc 3Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learnable protein representations in computational biology for predicting drug-target affinity. J. Cheminformatics Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie
2025	J	`jnl`	CASTER-DTA: equivariant graph neural networks for predicting drug-target affinity. Briefings Bioinform. Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie
2025	A*	`conf`	Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract). AAAI Ian Tong Pan, Joseph D. Romano
2025	J	`jnl`	Network-based analyses of multiomics data in biomedicine. BioData Min. Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie
2025	J	`jnl`	Towards symbolic regression for interpretable clinical decision scores. CoRR Guilherme Seidyo Imai Aldeia, Joseph D. Romano, Fabrício Olivetti de França, Daniel S. Herman, William G. La Cava
2023	—	`conf`	Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. GECCO Companion Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore
2022	J	`jnl`	Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns Yun Hao, Joseph D. Romano, Jason H. Moore
2022	J	`jnl`	PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. Bioinform. 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
2021	J	`jnl`	TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. Genet. Program. Evolvable Mach. Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2020	J	`jnl`	Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. BMC Bioinform. Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
2020	J	`jnl`	Is deep learning necessary for simple classification tasks? CoRR Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2020	J	`jnl`	PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. CoRR 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
2020	J	`jnl`	Ten simple rules for writing a paper about scientific software. PLoS Comput. Biol. Joseph D. Romano, Jason H. Moore
2019	J	`jnl`	Hasasia: A Python package for Pulsar Timing Array Sensitivity Curves. J. Open Source Softw. Jeffrey S. Hazboun, Joseph D. Romano, Tristan L. Smith
2018	Misc	`conf`	Using model classifications as quantitative traits to estimate stroke heritability. AMIA 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
2017	Misc	`conf`	Deep recurrent neural networks identify transgender patients. AMIA Joseph D. Romano, Kenrick Cato, Rami Vanguri, Nicholas P. Tatonetti
2017	Misc	`conf`	The Use of Informatics to Reduce Disparities in Transgender Health. AMIA Kenrick Cato, Joseph D. Romano, Rami Vanguri, Nicholas P. Tatonetti
2015	J	`jnl`	Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships. J. Biomed. Informatics Joseph D. Romano, William G. Tharp, Indra Neil Sarkar