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Caceres, Rajmonda
39  Ergebnisse:
Personensuche X
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1

Network Design Through Graph Neural Networks: Identifying C..:

, In: Complex Networks & Their Applications XII; Studies in Computational Intelligence,
Loveland, Donald ; Caceres, Rajmonda - p. 3-15 , 2024
Link: https://doi.org/10.1007/..
 
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2

Probabilistic program inference in network-based epidemiolo..:

Smedemark-Margulies, Niklas ; Walters, Robin ; Zimmermann, Heiko...
PLOS Computational Biology.  18 (2022)  11 - p. e1010591 , 2022
Link: https://doi.org/10.1371/..
 
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3

Incompleteness in Networks : Biases, Skewed Results, and..:

, In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Eliassi-rad, Tina ; Caceres, Rajmonda ; LaRock, Timothy - p. 3217-3218 , 2019
Link: https://dl.acm.org/doi/1..
 
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4

Current and Future Challenges in Mining Large Networks: Rep..:

Holder, Lawrence B. ; Caceres, Rajmonda ; Gleich, David F....
ACM SIGKDD Explorations Newsletter.  18 (2016)  1 - p. 39-45 , 2016
Link: https://doi.org/10.1145/..
 
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5

Current and Future Challenges in Mining Large Networks :..:

Holder, Lawrence B. ; Caceres, Rajmonda ; Gleich, David F....
ACM SIGKDD Explorations Newsletter.  18 (2016)  1 - p. 39-45 , 2016
Link: https://dl.acm.org/doi/1..
 
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6

Machine learning optimization of candidate antibody yields ..:

Li, Lin ; Gupta, Esther ; Spaeth, John...
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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7

Artificial intelligence for synthetic biology:

Eslami, Mohammed ; Adler, Aaron ; Caceres, Rajmonda S....
Communications of the ACM.  65 (2022)  5 - p. 88-97 , 2022
Link: https://doi.org/10.1145/..
 
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8

Selective network discovery via deep reinforcement learning..:

Morales, Peter ; Caceres, Rajmonda Sulo ; Eliassi-Rad, Tina
Applied Network Science.  6 (2021)  1 - p. , 2021
Link: https://doi.org/10.1007/..
 
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9

Explaining COVID-19 outbreaks with reactive SEIRD models:

Menda, Kunal ; Laird, Lucas ; Kochenderfer, Mykel J..
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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10

Deep Reinforcement Learning for Task-Driven Discovery of In..:

, In: Complex Networks and Their Applications VIII; Studies in Computational Intelligence,
Morales, Peter ; Caceres, Rajmonda Sulo ; Eliassi-Rad, Tina - p. 903-914 , 2019
Link: https://doi.org/10.1007/..
 
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11

Super-Resolution Community Detection for Layer-Aggregated M..:

Taylor, Dane ; Caceres, Rajmonda S. ; Mucha, Peter J.
Physical Review X.  7 (2017)  3 - p. , 2017
Link: https://doi.org/10.1103/..
 
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12

Latent community discovery through enterprise user search q..:

, In: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval,
Carter, Kevin M. ; Caceres, Rajmonda S. ; Priest, Ben - p. 871-874 , 2014
Link: https://dl.acm.org/doi/1..
 
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13

Network Design through Graph Neural Networks: Identifying C..:

Loveland, Donald ; Caceres, Rajmonda
http://arxiv.org/abs/2310.17100.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

Probabilistic program inference in network-based epidemiolo..:

Smedemark-Margulies, Niklas ; Walters, Robin ; Zimmermann, Heiko...
10.1371/journal.pcbi.1010591.  , 2022
Link: https://hdl.handle.net/1..
 
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15

A Boosting Approach to Learning Graph Representations:

Caceres, Rajmonda ; Carter, Kevin ; Kun, Jeremy
http://arxiv.org/abs/1401.3258.  , 2014
Link: http://arxiv.org/abs/140..
 
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