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Héctor Corrada Bravo

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2020 – today

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2024
[c9]
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Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho:
Concept Bottleneck Generative Models. ICLR 2024
2021
[j16]
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  - journals/ploscb/MallickRMMZNTWR21
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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:
Multivariable association discovery in population-scale meta-omics studies. PLoS Comput. Biol. 17(11) (2021)
[c8]
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Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi:
Improving Deep Learning Interpretability by Saliency Guided Training. NeurIPS 2021: 26726-26739
[i6]
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  - journals/corr/abs-2111-14338
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Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi:
Improving Deep Learning Interpretability by Saliency Guided Training. CoRR abs/2111.14338 (2021)
2020
[j15]
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  - journals/bioinformatics/0001KCEB20
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Zhe Cui, Jayaram Kancherla, Kyle W. Chang, Niklas Elmqvist, Héctor Corrada Bravo:
Proactive visual and statistical analysis of genomic data in Epiviz. Bioinform. 36(7): 2195-2201 (2020)
[j14]
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Jayaram Kancherla, Yifan Yang, Hyeyun Chae, Héctor Corrada Bravo:
Epiviz File Server: Query, transform and interactively explore data from indexed genomic files. Bioinform. 36(18): 4682-4690 (2020)
[j13]
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  - journals/bioinformatics/SarkarSBLP20
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Hirak Sarkar, Avi Srivastava, Héctor Corrada Bravo, Michael I. Love, Rob Patro:
Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data. Bioinform. 36(Supplement-1): i102-i110 (2020)
[c7]
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Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi:
Benchmarking Deep Learning Interpretability in Time Series Predictions. NeurIPS 2020
[i5]
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  - journals/corr/abs-2010-13924
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Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi:
Benchmarking Deep Learning Interpretability in Time Series Predictions. CoRR abs/2010.13924 (2020)

2010 – 2019

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2019
[j12]
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  - journals/bioinformatics/OlsonSKWPB19
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Nathan D. Olson, Nidhi Shah, Jayaram Kancherla, Justin Wagner, Joseph N. Paulson, Héctor Corrada Bravo:
metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data. Bioinform. 35(19): 3870-3872 (2019)
[j11]
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Mohamed K. Gunady, Stephen M. Mount, Héctor Corrada Bravo:
Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis. BMC Bioinform. 20(1): 421:1-421:19 (2019)
[c6]
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Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi:
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. NeurIPS 2019: 10813-10823
[i4]
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  - journals/corr/abs-1910-12370
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Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi:
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. CoRR abs/1910.12370 (2019)
[i3]
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  - journals/f1000research/WilliamsBTP19
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Justin Williams, Héctor Corrada Bravo, Jennifer Tom, Joseph N. Paulson:
microbiomeDASim: Simulating longitudinal differential abundance for microbiome data. F1000Research 8: 1769 (2019)
2018
[i2]
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  - journals/corr/abs-1804-06776
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Aya Abdelsalam Ismail, Timothy Wood, Héctor Corrada Bravo:
Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks. CoRR abs/1804.06776 (2018)
[i1]
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  - journals/f1000research/KancherlaZGB18
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Jayaram Kancherla, Alexander Zhang, Brian Gottfried, Héctor Corrada Bravo:
Epiviz Web Components: reusable and extensible component library to visualize functional genomic datasets. F1000Research 7: 1096 (2018)
2017
[j10]
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  - journals/pieee/HeathBCS17
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Lenwood S. Heath, Héctor Corrada Bravo, Mario Cáccamo, Michael Schatz:
Bioinformatics of DNA [Scanning the Issue]. Proc. IEEE 105(3): 419-421 (2017)
[c5]
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Mohamed K. Gunady, Steffen Cornwell, Stephen M. Mount, Héctor Corrada Bravo:
Yanagi: Transcript Segment Library Construction for RNA-Seq Quantification. WABI 2017: 10:1-10:14
2016
[j9]
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  - journals/bioinformatics/DorriMB16
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Faezeh Dorri, Lee Mendelowitz, Héctor Corrada Bravo:
methylFlow: cell-specific methylation pattern reconstruction from high-throughput bisulfite-converted DNA sequencing. Bioinform. 32(11): 1618-1624 (2016)
[j8]
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  - journals/bioinformatics/WagnerPWBB16
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Justin Wagner, Joseph N. Paulson, Xiao Wang, Bobby Bhattacharjee, Héctor Corrada Bravo:
Privacy-preserving microbiome analysis using secure computation. Bioinform. 32(12): 1873-1879 (2016)
[j7]
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  - journals/bioinformatics/ManimaranSORLQH16
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Solaiappan Manimaran, Heather Marie Selby, Kwame Okrah, Claire Ruberman, Jeffrey T. Leek, John Quackenbush, Benjamin Haibe-Kains, Héctor Corrada Bravo, W. Evan Johnson:
BatchQC: interactive software for evaluating sample and batch effects in genomic data. Bioinform. 32(24): 3836-3838 (2016)
2015
[j6]
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  - journals/bmcbi/ChelaruB15
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Florin Chelaru, Héctor Corrada Bravo:
Epiviz: a view inside the design of an integrated visual analysis software for genomics. BMC Bioinform. 16(S11): S4 (2015)
2014
[j5]
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  - journals/bioinformatics/YeHB14
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Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo:
BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution. Bioinform. 30(9): 1214-1219 (2014)
[j4]
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  - journals/bioinformatics/AryeeJBLFHI14
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Martin J. Aryee, Andrew E. Jaffe, Héctor Corrada Bravo, Christine Ladd-Acosta, Andrew P. Feinberg, Kasper D. Hansen, Rafael A. Irizarry:
Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinform. 30(10): 1363-1369 (2014)
2012
[j3]
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  - journals/bmcbi/ShiWIBW12
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Weiliang Shi, Grace Wahba, Rafael A. Irizarry, Héctor Corrada Bravo, Stephen J. Wright:
The partitioned LASSO-patternsearch algorithm with application to gene expression data. BMC Bioinform. 13: 98 (2012)
[j2]
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  - journals/bmcbi/BravoPMIL12
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Héctor Corrada Bravo, Vasyl Pihur, Matthew N. McCall, Rafael A. Irizarry, Jeffrey T. Leek:
Gene expression anti-profiles as a basis for accurate universal cancer signatures. BMC Bioinform. 13: 272 (2012)
[c4]
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  - conf/recomb/Bravo12
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Héctor Corrada Bravo:
Increased Methylation Variation in Epigenetic Domains across Cancer Types. RECOMB 2012: 44

2000 – 2009

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2009
[j1]
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  - journals/ecoi/AcevedoCBVA09
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Miguel A. Acevedo, Carlos J. Corrada-Bravo, Héctor Corrada Bravo, Luis J. Villanueva-Rivera, T. Mitchell Aide:
Automated classification of bird and amphibian calls using machine learning: A comparison of methods. Ecol. Informatics 4(4): 206-214 (2009)
[c3]
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  - journals/jmlr/BravoWEKW09
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Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba:
Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. AISTATS 2009: 41-48
2007
[c2]
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  - conf/sigmod/BravoR07
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Héctor Corrada Bravo, Raghu Ramakrishnan:
Optimizing mpf queries: decision support and probabilistic inference. SIGMOD Conference 2007: 701-712
2005
[c1]
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  - conf/ilp/BravoPRSC05
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Héctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vítor Santos Costa:
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment. ILP 2005: 69-86

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