Héctor Corrada Bravo

33 papers A* 5A 1B 3C 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Concept Bottleneck Language Models For Protein Design. ICLR Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey
2025	B	`conf`	Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States. RECOMB Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang, Minsheng Hao, Héctor Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg
2024	A*	`conf`	Concept Bottleneck Generative Models. ICLR Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho
2024	J	`jnl`	Concept Bottleneck Language Models For protein design. CoRR Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Stanton, Taylor Joren, Joseph Kleinhenz, Allen Goodman, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey
2021	A*	`conf`	Improving Deep Learning Interpretability by Saliency Guided Training. NeurIPS Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
2021	J	`jnl`	Improving Deep Learning Interpretability by Saliency Guided Training. CoRR Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
2021	J	`jnl`	Multivariable association discovery in population-scale meta-omics studies. PLoS Comput. Biol. Himel Mallick, Ali Rahnavard, Lauren J. McIver, Siyuan Ma, Yancong Zhang, Long H. Nguyen, Timothy L. Tickle, George Weingart, Boyu Ren, Emma H. Schwager, Suvo Chatterjee, Kelsey N. Thompson, Jeremy E. Wilkinson, Ayshwarya Subramanian, Yiren Lu, Levi Waldron, Joseph N. Paulson, Eric A. Franzosa, Héctor Corrada Bravo, Curtis Huttenhower
2020	A*	`conf`	Benchmarking Deep Learning Interpretability in Time Series Predictions. NeurIPS Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
2020	J	`jnl`	Benchmarking Deep Learning Interpretability in Time Series Predictions. CoRR Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
2020	J	`jnl`	Epiviz File Server: Query, transform and interactively explore data from indexed genomic files. Bioinform. Jayaram Kancherla, Yifan Yang, Hyeyun Chae, Héctor Corrada Bravo
2020	J	`jnl`	Proactive visual and statistical analysis of genomic data in Epiviz. Bioinform. Zhe Cui, Jayaram Kancherla, Kyle W. Chang, Niklas Elmqvist, Héctor Corrada Bravo
2020	J	`jnl`	Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data. Bioinform. Hirak Sarkar, Avi Srivastava, Héctor Corrada Bravo, Michael I. Love, Rob Patro
2019	A*	`conf`	Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. NeurIPS Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
2019	J	`jnl`	Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. CoRR Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
2019	J	`jnl`	Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis. BMC Bioinform. Mohamed K. Gunady, Stephen M. Mount, Héctor Corrada Bravo
2019	J	`jnl`	metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data. Bioinform. Nathan D. Olson, Nidhi Shah, Jayaram Kancherla, Justin Wagner, Joseph N. Paulson, Héctor Corrada Bravo
2018	J	`jnl`	Epiviz Web Components: reusable and extensible component library to visualize functional genomic datasets. F1000Research Jayaram Kancherla, Alexander Zhang, Brian Gottfried, Héctor Corrada Bravo
2018	J	`jnl`	Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks. CoRR Aya Abdelsalam Ismail, Timothy Wood, Héctor Corrada Bravo
2017	J	`jnl`	Bioinformatics of DNA [Scanning the Issue]. Proc. IEEE Lenwood S. Heath, Héctor Corrada Bravo, Mario Cáccamo, Michael Schatz
2017	C	`conf`	Yanagi: Transcript Segment Library Construction for RNA-Seq Quantification. WABI Mohamed K. Gunady, Steffen Cornwell, Stephen M. Mount, Héctor Corrada Bravo
2016	J	`jnl`	BatchQC: interactive software for evaluating sample and batch effects in genomic data. Bioinform. Solaiappan Manimaran, Heather Marie Selby, Kwame Okrah, Claire Ruberman, Jeffrey T. Leek, John Quackenbush, Benjamin Haibe-Kains, Héctor Corrada Bravo, W. Evan Johnson
2016	J	`jnl`	Privacy-preserving microbiome analysis using secure computation. Bioinform. Justin Wagner, Joseph N. Paulson, Xiao Wang, Bobby Bhattacharjee, Héctor Corrada Bravo
2016	J	`jnl`	methylFlow: cell-specific methylation pattern reconstruction from high-throughput bisulfite-converted DNA sequencing. Bioinform. Faezeh Dorri, Lee Mendelowitz, Héctor Corrada Bravo
2015	J	`jnl`	Epiviz: a view inside the design of an integrated visual analysis software for genomics. BMC Bioinform. Florin Chelaru, Héctor Corrada Bravo
2014	J	`jnl`	BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution. Bioinform. Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo
2014	J	`jnl`	Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinform. Martin J. Aryee, Andrew E. Jaffe, Héctor Corrada Bravo, Christine Ladd-Acosta, Andrew P. Feinberg, Kasper D. Hansen, Rafael A. Irizarry
2012	J	`jnl`	Gene expression anti-profiles as a basis for accurate universal cancer signatures. BMC Bioinform. Héctor Corrada Bravo, Vasyl Pihur, Matthew N. McCall, Rafael A. Irizarry, Jeffrey T. Leek
2012	B	`conf`	Increased Methylation Variation in Epigenetic Domains across Cancer Types. RECOMB Héctor Corrada Bravo
2012	J	`jnl`	The partitioned LASSO-patternsearch algorithm with application to gene expression data. BMC Bioinform. Weiliang Shi, Grace Wahba, Rafael A. Irizarry, Héctor Corrada Bravo, Stephen J. Wright
2009	J	`jnl`	Automated classification of bird and amphibian calls using machine learning: A comparison of methods. Ecol. Informatics Miguel A. Acevedo, Carlos J. Corrada-Bravo, Héctor Corrada Bravo, Luis J. Villanueva-Rivera, T. Mitchell Aide
2009	A	`conf`	Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. AISTATS Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba
2007	—	`conf`	Optimizing mpf queries: decision support and probabilistic inference. SIGMOD Conference Héctor Corrada Bravo, Raghu Ramakrishnan
2005	B	`conf`	A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment. ILP Héctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vítor Santos Costa