E-LIB Suche - Ergebnisse für: Chazelle, Bernard

1

Network-augmented compartmental models to track asymptomati..:

Dabke, Devavrat Vivek ; Karntikoon, Kritkorn ; Aluru, Chaitanya...
Bioinformatics Advances. 3 (2023) 1 - p. , 2023

Link: https://doi.org/10.1093/..

2

Extracting Semantic Information from Dynamic Graphs of Geom..:

, In: Complex Networks & Their Applications X; Studies in Computational Intelligence,

Dabke, Devavrat Vivek ; Chazelle, Bernard - p. 474-485 , 2022

Link: https://doi.org/10.1007/..

3

Quick Relaxation in Collective Motion:

, In: 2022 IEEE 61st Conference on Decision and Control (CDC),

Chazelle, Bernard ; Karntikoon, Kritkorn - p. 6472-6477 , 2022

Link: https://doi.org/10.1109/..

4

PertInInt: An Integrative, Analytical Approach to Rapidly U..:

Kobren, Shilpa Nadimpalli ; Chazelle, Bernard ; Singh, Mona
Cell Systems. 11 (2020) 1 - p. 63-74.e7 , 2020

Link: https://doi.org/10.1016/..

5

uKIN Combines New and Prior Information with Guided Network..:

Hristov, Borislav H. ; Chazelle, Bernard ; Singh, Mona
Cell Systems. 10 (2020) 6 - p. 470-479.e3 , 2020

Link: https://doi.org/10.1016/..

6

A Guided Network Propagation Approach to Identify Disease G..:

, In: Lecture Notes in Computer Science; Research in Computational Molecular Biology,

Hristov, Borislav H. ; Chazelle, Bernard ; Singh, Mona - p. 251-252 , 2020

Link: https://doi.org/10.1007/..

7

Some Observations on Dynamic Random Walks and Network Renor..:

, In: Fundamentals of Computation Theory; Lecture Notes in Computer Science,

Chazelle, Bernard - p. 18-28 , 2019

Link: https://doi.org/10.1007/..

8

Well-posedness of the limiting equation of a noisy consensu..:

Chazelle, Bernard ; Jiu, Quansen ; Li, Qianxiao.
Journal of Differential Equations. 263 (2017) 1 - p. 365-397 , 2017

Link: https://doi.org/10.1016/..

9

Inertial Hegselmann-Krause Systems:

Chazelle, Bernard ; Wang, Chu
IEEE Transactions on Automatic Control. 62 (2017) 8 - p. 3905-3913 , 2017

Link: https://doi.org/10.1109/..

10

The challenges of natural algorithms:

Chazelle, Bernard
ACM SIGEVOlution. 9 (2017) 2 - p. 11-11 , 2017

Link: https://doi.org/10.1145/..

11

Noisy Hegselmann-Krause Systems: Phase Transition and the 2..:

Wang, Chu ; Li, Qianxiao ; E, Weinan.
Journal of Statistical Physics. 166 (2017) 5 - p. 1209-1225 , 2017

Link: https://doi.org/10.1007/..

12

The challenges of natural algorithms:

Chazelle, Bernard
ACM SIGEVOlution. 9 (2017) 2 - p. 11 ff. , 2017

Link: https://dl.acm.org/doi/1..

13

The Challenges of Natural Algorithms:

, In: Proceedings of the Genetic and Evolutionary Computation Conference 2016,

Chazelle, Bernard - p. 1 ff. , 2016

Link: https://dl.acm.org/doi/1..

14

Noisy Hegselmann-Krause systems: Phase transition and the 2..:

, In: 2016 IEEE 55th Conference on Decision and Control (CDC),

Wang, Chu ; Li, Qianxiao ; Weinan, E.. - p. 2632-2637 , 2016

Link: https://doi.org/10.1109/..

15

Diffusive Influence Systems:

Chazelle, Bernard
SIAM Journal on Computing. 44 (2015) 5 - p. 1403-1442 , 2015

Link: https://doi.org/10.1137/..