CE
Charles Elkan
cs.LGAlgorithmscs.AIstat.MLArtificial Intelligencecs.CLcs.DBcs.NEModels, TheoreticalPattern Recognition, Automated
On Valency
published · living versionsW_gjjr6yze·v1 · currentpublished
A Critical Review of Recurrent Neural Networks for Sequence Learning
with Zachary C. Lipton, John Berkowitz
1 version
Preprints & journals
30 papers in the corpus · 1992–2024Gamified crowd-sourcing of high-quality data for visual fine-tuning2410.04038v2 · Shashank Yadav, Rohan Tomar, Garvit Jain et al.2024 · 0 citationsarXiv
Differential privacy based on importance weighting.24482559 · Ji, Zhanglong, Elkan, Charles2021 · 36 citationsMachine learning. 2013;93(1):163-183
Predicting accurate probabilities with a ranking loss.25285328 · Menon, Aditya Krishna, Jiang, Xiaoqian J, Vembu, Shankar et al.2021 · 53 citationsProceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning. 2012;2012:703-710
Optimal Thresholding of Classifiers to Maximize F1 Measure.26023687 · Lipton, Zachary C, Elkan, Charles, Naryanaswamy, Balakrishnan2021 · 621 citationsMachine learning and knowledge discovery in databases : European Conference, ECML PKDD ... : proceedings. ECML PKDD (Conference). 2014;8725:225-239
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
Achieving Fluency and Coherency in Task-oriented Dialog1804.03799v1 · Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan2018 · 1 citationarXiv
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient1712.02838v1 · Li Zhou, Kevin Small, Oleg Rokhlenko et al.2017 · 31 citationsarXiv
Predicting Surgery Duration with Neural Heteroscedastic Regression1702.05386v3 · Nathan Ng, Rodney A Gabriel, Julian McAuley et al.2017 · 17 citationsarXiv
Visualizing the Consequences of Evidence in Bayesian Networks1707.00791v1 · Clifford Champion, Charles Elkan2017 · 9 citationsarXiv
Learning to Diagnose with LSTM Recurrent Neural Networks1511.03677v7 · Zachary C. Lipton, David C. Kale, Charles Elkan et al.2015 · 518 citationsarXiv
A Critical Review of Recurrent Neural Networks for Sequence Learning1506.00019v4 · Zachary C. Lipton, John Berkowitz, Charles Elkan2015 · 2,081 citationsarXivon Valency
Efficient Elastic Net Regularization for Sparse Linear Models1505.06449v3 · Zachary C. Lipton, Charles Elkan2015 · 4 citationsarXiv
Differential Privacy and Machine Learning: a Survey and Review1412.7584v1 · Zhanglong Ji, Zachary C. Lipton, Charles Elkan2014 · 191 citationsarXiv
Thresholding Classifiers to Maximize F1 Score1402.1892v2 · Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy2014 · 99 citationsarXiv
Inhibition in multiclass classification.22594829 · Huerta, Ramón, Vembu, Shankar, Amigó, José M et al.2012 · 34 citationsNeural computation. 2012;24(9):2473-507
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text.22151929 · Krallinger, Martin, Vazquez, Miguel, Leitner, Florian et al.2012 · 184 citationsBMC bioinformatics. 2011;12 Suppl 8:S3
Predicting accurate probabilities with a ranking loss1206.4661v1 · Aditya Menon (UC San Diego), Xiaoqian Jiang (UC San Diego), Shankar Vembu et al.2012 · 50 citationsarXiv
Identifying relevant data for a biological database: handcrafted rules versus machine learning.21393656 · Sehgal, Aditya Kumar, Das, Sanmay, Noto, Keith et al.2011 · 15 citationsIEEE/ACM transactions on computational biology and bioinformatics. 2011;8(3):851-7
Learning gene regulatory networks from only positive and unlabeled data.20444264 · Cerulo, Luigi, Elkan, Charles, Ceccarelli, Michele2010 · 128 citationsBMC bioinformatics. 2010;11:228
Dyadic Prediction Using a Latent Feature Log-Linear Model1006.2156v1 · Aditya Krishna Menon, Charles Elkan2010 · 7 citationsarXiv
The Transporter Classification Database: recent advances.19022853 · Saier, Milton H, Yen, Ming Ren, Noto, Keith et al.2009 · 429 citationsNucleic acids research. 2009;37(Database issue):D274-8
A common ancestor for a subunit in the mitochondrial proton-translocating NADH:ubiquinone oxidoreductase (complex I) and short-chain dehydrogenases/reductases.10228558 · Baker, M E, Grundy, W N, Elkan, C P1999 · 15 citationsCellular and molecular life sciences : CMLS. 1999;55(3):450-5
Spinach CSP41, an mRNA-binding protein and ribonuclease, is homologous to nucleotide-sugar epimerases and hydroxysteroid dehydrogenases.9675122 · Baker, M E, Grundy, W N, Elkan, C P1998 · 42 citationsBiochemical and biophysical research communications. 1998;248(2):250-4
An artificial intelligence approach to motif discovery in protein sequences: application to steriod dehydrogenases.9366496 · Bailey, T L, Baker, M E, Elkan, C P1997 · 71 citationsThe Journal of steroid biochemistry and molecular biology. 1997;62(1):29-44
Meta-MEME: motif-based hidden Markov models of protein families.9283754 · Grundy, W N, Bailey, T L, Elkan, C P et al.1997 · 178 citationsComputer applications in the biosciences : CABIOS. 1997;13(4):397-406
Hidden Markov model analysis of motifs in steroid dehydrogenases and their homologs.9070888 · Grundy, W N, Bailey, T L, Elkan, C P et al.1997 · 38 citationsBiochemical and biophysical research communications. 1997;231(3):760-6
ParaMEME: a parallel implementation and a web interface for a DNA and protein motif discovery tool.8902357 · Grundy, W N, Bailey, T L, Elkan, C P1997 · 83 citationsComputer applications in the biosciences : CABIOS. 1996;12(4):303-10
Fitting a mixture model by expectation maximization to discover motifs in biopolymers.7584402 · Bailey, T L, Elkan, C1995 · 5,102 citationsProceedings. International Conference on Intelligent Systems for Molecular Biology. 1994;2:28-36
The value of prior knowledge in discovering motifs with MEME.7584439 · Bailey, T L, Elkan, C1995 · 680 citationsProceedings. International Conference on Intelligent Systems for Molecular Biology. 1995;3:21-9
Access to genetic sequence data.1590848 · Elkan, C1992 · 2 citationsScience (New York, N.Y.). 1992;255(5045):663
Career total: 142 works. 30 are in this corpus.
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