Antonio Majdandzic

Cold Spring Harbor Laboratory — United States

Physics and Astronomy · Physical Sciences

7h-index620citations16works0.02yr avg
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Research Topics

Complex Network Analysis Techniques(7), Opinion Dynamics and Social Influence(6), RNA and protein synthesis mechanisms(4), Gene expression and cancer classification(4), RNA Research and Splicing(3)

Publications16 total

Correcting gradient-based interpretations of deep neural networks for genomics
Genome biology·2023· 45 citedOpen Access
ResidualBind: Uncovering Sequence-Structure Preferences of RNA-Binding Proteins with Deep Neural Networks
Methods in molecular biology·2023· 1 citedOpen Access
Selecting deep neural networks that yield consistent attribution-based interpretations for genomics.
PubMed·2022· 12 citedOpen Access
Dataset from: Selecting deep neural networks that yield consistent attribution-based interpretations for genomics
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Dataset from: Selecting deep neural networks that yield consistent attribution-based interpretations for genomics
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Correcting gradient-based interpretations of deep neural networks for genomics
2022· 1 citedOpen Access
Statistical correction of input gradients for black box models trained with categorical input features
Zenodo (CERN European Organization for Nuclear Research)·2022· 6 citedOpen Access
Statistical correction of input gradients for black box models trained with categorical input features
Zenodo (CERN European Organization for Nuclear Research)·2022· 1 citedOpen Access
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks
PLoS Computational Biology·2021· 91 citedOpen Access
Multiple tipping points and optimal repairing in interacting networks
Nature Communications·2016· 104 citedOpen Access
Recovery processes and dynamics in single and interdependent networks
OpenBU/Boston University Institutional Repository (Boston University)·2016
Predicting the Lifetime of Dynamic Networks Experiencing Persistent Random Attacks
Scientific Reports·2015· 21 citedOpen Access
Predicting Lifetime of Dynamical Networks Experiencing Persistent Random Attacks
arXiv (Cornell University)·2014· 2 citedOpen Access
Network risk and forecasting power in phase-flipping dynamical networks
Physical Review E·2014· 25 citedOpen Access
Network Risk and Forecasting Power in Phase-Flipping Dynamical Networks
RePEc: Research Papers in Economics·2014· 1 citedOpen Access
Spontaneous recovery in dynamical networks
Nature Physics·2013· 310 cited

Frequent Co-authors

Peter K. Koo(9), H. Eugene Stanley(6), Chandana Rajesh(6), Boris Podobnik(5), Chester Curme(3), Amber Tang(3), Shushan Toneyan(3), Ethan Labelson(3), Rohit Tripathy(3), Shlomo Havlin(2), Praveen Anand(2), Steffan B. Paul(2), Wei‐Xing Zhou(2), Bofeng Li(2), Tomislav Lipić(2), Davor Horvatić(2), Sergey V. Buldyrev(1), Dror Y. Kenett(1), Lidia A. Braunstein(1), Irena Vodenska(1)