default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnna Goldenberg
Person information
- affiliation: University of Toronto, ON, Canada
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[i36]Shihao Ma, Andy G. X. Zeng, Benjamin Haibe-Kains, Anna Goldenberg, John E. Dick, Bo Wang:
Integrate Any Omics: Towards genome-wide data integration for patient stratification. CoRR abs/2401.07937 (2024)- [i35]Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen:
Learning from Time Series under Temporal Label Noise. CoRR abs/2402.04398 (2024) - [i34]Zongliang Ji, Anna Goldenberg, Rahul G. Krishnan:
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning. CoRR abs/2402.07344 (2024) - [i33]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
- [j19]Sujay Nagaraj
, Sarah M. Goodday, Thomas Hartvigsen, Adrien Boch, Kopal Garg, Sindhu C. M. Gowda, Luca Foschini, Marzyeh Ghassemi, Stephen H. Friend, Anna Goldenberg:
Dissecting the heterogeneity of "in the wild" stress from multimodal sensor data. npj Digit. Medicine 6 (2023) - [c29]Jennifer Yu, Mai Ali, Rui Zhu, Parinita Edke, Anna Goldenberg:
Childhood Adversity's Impact on Dynamic Mental Health During and Post Pregnancy. DSTNDS 2023: 1-17 - [c28]Melissa D. McCradden, Oluwadara Odusi, Shalmali Joshi, Ismail Akrout, Kagiso Ndlovu, Ben Glocker, Gabriel Maicas, Xiaoxuan Liu, Mjaye Mazwi, Tee Garnett, Lauren Oakden-Rayner, Myrtede Alfred, Irvine Sihlahla, Oswa Shafei, Anna Goldenberg:
What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB. FAccT 2023: 1505-1519 - [c27]Jennifer Yu, Tina Behrouzi, Kopal Garg, Anna Goldenberg, Sana Tonekaboni:
Dynamic Interpretable Change Point Detection for Physiological Data Analysis. ML4H@NeurIPS 2023: 636-649 - [c26]Lauren Erdman, Mandy Rickard, Kyla N. Velear, Daniel Alvarez, Kunj Sheth, Armando J. Lorenzo, Bo Wang, Anna Goldenberg:
Moment-alignment domain adaptation in the few-shot and low-resource context. SIPAIM 2023: 1-6 - [c25]Gabriela Morgenshtern, Arnav Verma, Sana Tonekaboni, Robert Greer, Jürgen Bernard, Mjaye Mazwi, Anna Goldenberg, Fanny Chevalier:
RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. EuroVis (Short Papers) 2023: 13-17 - [i32]George Adam, Benjamin Haibe-Kains, Anna Goldenberg:
Maintaining Stability and Plasticity for Predictive Churn Reduction. CoRR abs/2305.04135 (2023) - 2022
- [j18]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) - [j17]Jethro C. C. Kwong, Lauren Erdman, Adree Khondker, Marta Skreta, Anna Goldenberg, Melissa D. McCradden, Armando J. Lorenzo, Mandy Rickard:
The silent trial - the bridge between bench-to-bedside clinical AI applications. Frontiers Digit. Health 4 (2022) - [j16]Sarah M. Goodday, E. Karlin, A. Brooks, C. Chapman, Daniel R. Karlin, Luca Foschini, E. Kipping, M. Wildman, M. Francis, H. Greenman, Li Li, Eric E. Schadt, Marzyeh Ghassemi, Anna Goldenberg, Francesca Cormack, Nick Taptiklis, Corey Centen, S. Smith, Stephen H. Friend:
Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. npj Digit. Medicine 5 (2022) - [j15]Neta Gotlieb, Amirhossein Azhie, Divya Sharma, Ashley Spann, Nan-Ji Suo, Jason Tran, Ani Orchanian-Cheff, Bo Wang, Anna Goldenberg, Michael Chassé, Héloïse Cardinal, Joseph Paul Cohen, Andrea Lodi, Melanie Dieude, Mamatha Bhat:
The promise of machine learning applications in solid organ transplantation. npj Digit. Medicine 5 (2022) - [c24]Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister:
Decoupling Local and Global Representations of Time Series. AISTATS 2022: 8700-8714 - [c23]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 - [c22]Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg:
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. CHIL 2022: 169-182 - [c21]Abhishek Moturu, Sayali Joshi, Andrea S. Doria, Anna Goldenberg:
Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging. ICBINB 2022: 85-93 - [c20]Chun-Hao Chang, Rich Caruana, Anna Goldenberg:
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. ICLR 2022 - [c19]George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg:
Error Amplification When Updating Deployed Machine Learning Models. MLHC 2022: 715-740 - [i31]Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister:
Decoupling Local and Global Representations of Time Series. CoRR abs/2202.02262 (2022) - [i30]Caitlin F. Harrigan, Gabriela Morgenshtern, Anna Goldenberg, Fanny Chevalier:
Considerations for Visualizing Uncertainty in Clinical Machine Learning Models. CoRR abs/2210.12220 (2022) - [i29]Kopal Garg, Sana Tonekaboni, Anna Goldenberg:
Time-Varying Correlation Networks for Interpretable Change Point Detection. CoRR abs/2211.03991 (2022) - [i28]Stanley Bryan Z. Hua, Mandy Rickard, John Weaver, Alice X. Xiang, Daniel Alvarez, Kyla N. Velear, Kunj Sheth, Gregory E. Tasian, Armando J. Lorenzo, Anna Goldenberg, Lauren Erdman:
From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis. CoRR abs/2212.13535 (2022) - 2021
- [c18]Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi:
A comprehensive EHR timeseries pre-training benchmark. CHIL 2021: 257-278 - [c17]Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg:
Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CVPR 2021: 15212-15221 - [c16]Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi:
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings. FAccT 2021: 723-734 - [c15]Sana Tonekaboni, Danny Eytan, Anna Goldenberg:
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. ICLR 2021 - [c14]Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana:
How Interpretable and Trustworthy are GAMs? KDD 2021: 95-105 - [i27]Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, James Tu, Nipaporn Tewattanarat, Sayali Joshi, Andrea Doria, Anna Goldenberg:
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI. CoRR abs/2103.13497 (2021) - [i26]Sana Tonekaboni, Danny Eytan, Anna Goldenberg:
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. CoRR abs/2106.00750 (2021) - [i25]Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg:
Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CoRR abs/2106.01127 (2021) - [i24]Chun-Hao Chang, Rich Caruana, Anna Goldenberg:
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. CoRR abs/2106.01613 (2021) - [i23]Chun-Hao Chang, George-Alexandru Adam, Rich Caruana, Anna Goldenberg:
Extracting Clinician's Goals by What-if Interpretable Modeling. CoRR abs/2110.15165 (2021) - 2020
- [j14]Melissa D. McCradden, Shalmali Joshi, James A. Anderson, Mjaye Mazwi, Anna Goldenberg, Randi Zlotnik Shaul:
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning. J. Am. Medical Informatics Assoc. 27(12): 2024-2027 (2020) - [c13]Lauren Erdman, Marta Skreta, Mandy Rickard, Carson McLean, Aziz Mezlini, Daniel T. Keefe, Anne-Sophie Blais, Michael Brudno, Armando J. Lorenzo, Anna Goldenberg:
Predicting Obstructive Hydronephrosis Based on Ultrasound Alone. MICCAI (3) 2020: 493-503 - [c12]George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg:
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation. MLHC 2020: 710-731 - [c11]Bret Nestor, Liam G. McCoy, Amol Verma, Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi:
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine. MLHC 2020: 950-972 - [c10]Sana Tonekaboni, Shalmali Joshi, Kieran Campbell, David Duvenaud, Anna Goldenberg:
What went wrong and when? Instance-wise feature importance for time-series black-box models. NeurIPS 2020 - [i22]Sana Tonekaboni, Shalmali Joshi, David Duvenaud, Anna Goldenberg:
What went wrong and when? Instance-wise Feature Importance for Time-series Models. CoRR abs/2003.02821 (2020) - [i21]Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, Nipaporn Tewattanarat, Andrea Doria, Anna Goldenberg:
Using Generative Models for Pediatric wbMRI. CoRR abs/2006.00727 (2020) - [i20]Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana:
How Interpretable and Trustworthy are GAMs? CoRR abs/2006.06466 (2020) - [i19]Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi:
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data. CoRR abs/2007.10185 (2020) - [i18]Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi:
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings. CoRR abs/2010.06667 (2020) - [i17]Erik Drysdale, Devin Singh, Anna Goldenberg:
Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds. CoRR abs/2011.06058 (2020)
2010 – 2019
- 2019
- [j13]Ladislav Rampásek, Daniel Hidru, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg:
Dr.VAE: improving drug response prediction via modeling of drug perturbation effects. Bioinform. 35(19): 3743-3751 (2019) - [j12]Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman:
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities. Inf. Fusion 50: 71-91 (2019) - [c9]Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud:
Explaining Image Classifiers by Counterfactual Generation. ICLR (Poster) 2019 - [c8]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Event Forecasting using Deep RL. ICML 2019: 951-960 - [c7]Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg:
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. MLHC 2019: 359-380 - [c6]Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. MLHC 2019: 381-405 - [i16]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Event Forecasting using Deep RL. CoRR abs/1901.09699 (2019) - [i15]Erik Drysdale, Yingwei Peng, Timothy P. Hanna, Paul Nguyen, Anna Goldenberg:
The False Positive Control Lasso. CoRR abs/1903.12584 (2019) - [i14]George Adam, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg:
Reducing Adversarial Example Transferability Using Gradient Regularization. CoRR abs/1904.07980 (2019) - [i13]Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg:
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. CoRR abs/1905.05134 (2019) - [i12]Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. CoRR abs/1908.00690 (2019) - 2018
- [c5]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 - [i11]Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman:
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities. CoRR abs/1807.00123 (2018) - [i10]Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud:
Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. CoRR abs/1807.08024 (2018) - [i9]George-Alexandru Adam, Petr Smirnov, Anna Goldenberg, David Duvenaud, Benjamin Haibe-Kains:
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples. CoRR abs/1808.06645 (2018) - [i8]Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation. CoRR abs/1811.12583 (2018) - [i7]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. CoRR abs/1812.00268 (2018) - 2017
- [j11]Aziz M. Mezlini, Anna Goldenberg:
Incorporating networks in a probabilistic graphical model to find drivers for complex human diseases. PLoS Comput. Biol. 13(10) (2017) - [j10]Bo Wang, Lin Huang, Yuke Zhu, Anshul Kundaje, Serafim Batzoglou, Anna Goldenberg:
Vicus: Exploiting local structures to improve network-based analysis of biological data. PLoS Comput. Biol. 13(10) (2017) - [i6]Chun-Hao Chang, Ladislav Rampásek, Anna Goldenberg:
Dropout Feature Ranking for Deep Learning Models. CoRR abs/1712.08645 (2017) - 2016
- [j9]Recep Colak, TaeHyung Kim, Hilal Kazan, Yoomi Oh, Miguel Cruz, Adan Valladares-Salgado, Jesus Peralta, Jorge Escobedo, Esteban J. Parra, Philip M. Kim, Anna Goldenberg:
JBASE: Joint Bayesian Analysis of Subphenotypes and Epistasis. Bioinform. 32(2): 203-210 (2016) - [j8]Petr Smirnov, Zhaleh Safikhani, Nehme Hachem, Dong Wang, Adrian She, Catharina Olsen, Mark Freeman, Heather Marie Selby, Deena M. A. Gendoo, Patrick Grossmann, Andrew H. Beck, Hugo J. W. L. Aerts, Mathieu Lupien, Anna Goldenberg, Benjamin Haibe-Kains:
PharmacoGx: an R package for analysis of large pharmacogenomic datasets. Bioinform. 32(8): 1244-1246 (2016) - [j7]Zhaleh Safikhani, Nehme Hachem, Petr Smirnov, Mark Freeman, Anna Goldenberg, Nicolai J. Birkbak, Andrew H. Beck, Hugo J. W. L. Aerts, John Quackenbush, Benjamin Haibe-Kains:
Safikhani et al. reply. Nat. 540(7631): E2-E4 (2016) - [i5]Lauren Erdman, Ekansh Sharma, Eva Unternaehrer, Shantala A. Hari Dass, Kieran J. O'Donnell, Sara Mostafavi, Rachel Edgar, Michael S. Kobor, Hélène Gaudreau, Michael J. Meaney, Anna Goldenberg:
Modeling trajectories of mental health: challenges and opportunities. CoRR abs/1612.01055 (2016) - 2015
- [j6]Suchi Saria, Anna Goldenberg:
Subtyping: What It is and Its Role in Precision Medicine. IEEE Intell. Syst. 30(4): 70-75 (2015) - [i4]Aziz M. Mezlini, Fabio Fuligni, Adam Shlien, Anna Goldenberg:
Combining exome and gene expression datasets in one graphical model of disease to empower the discovery of disease mechanisms. CoRR abs/1508.07527 (2015) - 2014
- [j5]Yue Li, Anna Goldenberg, Ka-Chun Wong, Zhaolei Zhang:
A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information. Bioinform. 30(5): 621-628 (2014) - [i3]Bo Wang, Anna Goldenberg:
Gradient-based Laplacian Feature Selection. CoRR abs/1404.2948 (2014) - [i2]Daniel Hidru, Anna Goldenberg:
EquiNMF: Graph Regularized Multiview Nonnegative Matrix Factorization. CoRR abs/1409.4018 (2014) - 2012
- [j4]Mohammed Alshalalfa, Gary D. Bader, Anna Goldenberg, Quaid Morris, Reda Alhajj:
Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study. BMC Syst. Biol. 6: 112 (2012) - [c4]David Warde-Farley, Michael Brudno, Quaid Morris, Anna Goldenberg:
Mixture Model for Sub-Phenotyping in GWAS. Pacific Symposium on Biocomputing 2012: 363-374 - 2011
- [j3]Anna Goldenberg, Sara Mostafavi, Gerald T. Quon, Paul C. Boutros, Quaid Morris:
Unsupervised detection of genes of influence in lung cancer using biological networks. Bioinform. 27(22): 3166-3172 (2011)
2000 – 2009
- 2009
- [j2]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A Survey of Statistical Network Models. Found. Trends Mach. Learn. 2(2): 129-233 (2009) - [i1]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A survey of statistical network models. CoRR abs/0912.5410 (2009) - 2007
- [e1]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng:
Statistical Network Analysis: Models, Issues, and New Directions - ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4503, Springer 2007, ISBN 978-3-540-73132-0 [contents] - 2006
- [c3]Anna Goldenberg, Alice X. Zheng:
Exploratory Study of a New Model for Evolving Networks. SNA@ICML 2006: 75-89 - 2005
- [c2]Anna Goldenberg, Andrew W. Moore:
Bayes net graphs to understand co-authorship networks? LinkKDD 2005: 1-8 - 2004
- [c1]Anna Goldenberg, Andrew W. Moore:
Tractable learning of large Bayes net structures from sparse data. ICML 2004 - 2001
- [j1]Mehmed M. Kantardzic, Anna Goldenberg, Troy E. Howe, Peter Faguy:
Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy. Informatica (Slovenia) 25(1) (2001)
Coauthor Index
Chun-Hao Chang
aka: Chun-Hao Kingsley Chang
aka: Chun-Hao Kingsley Chang
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 2024-12-10 20:49 CET 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:
