default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDanny Eytan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i10]Bar Eini-Porat, Danny Eytan, Uri Shalit:
Aiming for Relevance. CoRR abs/2403.18668 (2024)- [i9]Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Danny Eytan, Robert W. Greer, Sebastian D. Goodfellow, Azadeh Assadi, Anand Jayarajan, Anna Goldenberg, Mjaye L. Mazwi:
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data. CoRR abs/2409.00041 (2024) - 2023
- [j9]Daniel Ehrmann
, Shalmali Joshi, Sebastian D. Goodfellow, Mjaye Mazwi, Danny Eytan:
Making machine learning matter to clinicians: model actionability in medical decision-making. npj Digit. Medicine 6 (2023) - [j8]Neta Ravid Tannenbaum, Omer Gottesman, Azadeh Assadi, Mjaye Mazwi, Uri Shalit, Danny Eytan:
iCVS - Inferring Cardio-Vascular hidden States from physiological signals available at the bedside. PLoS Comput. Biol. 19(9) (2023) - [c13]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Individualized Dosing Dynamics via Neural Eigen Decomposition. NeurIPS 2023 - [i8]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Individualized Dosing Dynamics via Neural Eigen Decomposition. CoRR abs/2306.14020 (2023) - 2022
- [j7]Azadeh Assadi, Peter C. Laussen, Andrew J. Goodwin, Sebastian Goodfellow, Will Dixon, Robert W. Greer, Anusha Jegatheeswaran, Devin Singh, Melissa D. McCradden, Sara N. Gallant, Anna Goldenberg, Danny Eytan, Mjaye L. Mazwi:
An integration engineering framework for machine learning in healthcare. Frontiers Digit. Health 4 (2022) - [j6]Andrew J. Goodwin, Danny Eytan, Will Dixon, Sebastian D. Goodfellow, Zakary Doherty, Robert W. Greer, Alistair Lee McEwan, Mark B. Tracy, Peter C. Laussen, Azadeh Assadi, Mjaye Mazwi:
Timing errors and temporal uncertainty in clinical databases - A narrative review. Frontiers Digit. Health 4 (2022) - [j5]Bar Eini-Porat, Ofra Amir, Danny Eytan, Uri Shalit:
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU. J. Biomed. Informatics 132: 104107 (2022) - [c12]Minfan Zhang, Daniel Ehrmann, Mjaye Mazwi, Danny Eytan, Marzyeh Ghassemi, Fanny Chevalier:
Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients. CHI 2022: 278:1-278:13 - [c11]Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni:
Learning Unsupervised Representations for ICU Timeseries. CHIL 2022: 152-168 - [c10]Ron Teichner, Danny Eytan, Ron Meir:
Enhancing Causal Estimation through Unlabeled Offline Data. ICFSP 2022: 147-158 - [i7]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. CoRR abs/2202.00117 (2022) - [i6]Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar:
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. CoRR abs/2205.05389 (2022) - [i5]Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar:
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. CoRR abs/2207.14638 (2022) - 2021
- [j4]Michael Roimi, Rom Gutman, Jonathan Somer, Asaf Ben Arie, Ido Calman, Yaron Bar-Lavie, Udi Gelbshtein, Sigal Liverant-Taub, Arnona Ziv, Danny Eytan, Malka Gorfine, Uri Shalit:
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study. J. Am. Medical Informatics Assoc. 28(6): 1188-1196 (2021) - [c9]Ori Linial, Neta Ravid, Danny Eytan, Uri Shalit:
Generative ODE modeling with known unknowns. CHIL 2021: 79-94 - [c8]Sana Tonekaboni, Danny Eytan, Anna Goldenberg:
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. ICLR 2021 - [i4]Dmitrii Shubin, Danny Eytan, Sebastian D. Goodfellow:
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations. CoRR abs/2105.14117 (2021) - [i3]Sana Tonekaboni, Danny Eytan, Anna Goldenberg:
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. CoRR abs/2106.00750 (2021) - 2020
- [c7]Sebastian D. Goodfellow, Dmitrii Shubin, Robert W. Greer, Sujay Nagaraj, Carson McLean, Will Dixon, Andrew J. Goodwin, Azadeh Assadi, Anusha Jegatheeswaran, Peter C. Laussen, Mjaye Mazwi, Danny Eytan:
Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability. CinC 2020: 1-4 - [c6]Oded Schlesinger, Nitai Vigderhouse, Danny Eytan, Yair Moshe:
Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network. ICASSP 2020: 1135-1139 - [c5]Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit:
Using deep networks for scientific discovery in physiological signals. MLHC 2020: 685-709 - [i2]Ori Linial, Danny Eytan, Uri Shalit:
Generative ODE Modeling with Known Unknowns. CoRR abs/2003.10775 (2020) - [i1]Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit:
Using Deep Networks for Scientific Discovery in Physiological Signals. CoRR abs/2008.10936 (2020)
2010 – 2019
- 2019
- [c4]Gal Maman, Or Yair, Danny Eytan, Ronen Talmon:
Domain Adaptation Using Riemannian Geometry of Spd Matrices. ICASSP 2019: 4464-4468 - 2018
- [c3]Sebastian D. Goodfellow, Andrew J. Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan:
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings. MLHC 2018: 83-101 - [c2]Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg:
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. MLHC 2018: 534-550 - 2017
- [c1]Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen:
Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting. CinC 2017
2000 – 2009
- 2009
- [j3]Shimon Marom, Ron Meir, Erez Braun, Asaf Gal, Einat Kermany, Danny Eytan:
On the precarious path of reverse neuro-engineering. Frontiers Comput. Neurosci. 3: 5 (2009) - 2008
- [j2]Avner Wallach, Danny Eytan, Shimon Marom, Ron Meir:
Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment. PLoS Comput. Biol. 4(2) (2008) - [j1]Goded Shahaf, Danny Eytan, Asaf Gal, Einat Kermany, Vladimir Lyakhov, Christoph Zrenner, Shimon Marom:
Order-Based Representation in Random Networks of Cortical Neurons. PLoS Comput. Biol. 4(11) (2008)
Coauthor Index
aka: Sebastian D. Goodfellow
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 20:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
