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Journal Articles
- 2022
[j4]Mohammed Eslami, Aaron Adler, Rajmonda Sulo Caceres, Joshua G. Dunn, Nancy Kelley-Loughnane, Vanessa A. Varaljay, Héctor García Martín:
Artificial intelligence for synthetic biology. Commun. ACM 65(5): 88-97 (2022)- [j3]Niklas Smedemark-Margulies
, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent:
Probabilistic program inference in network-based epidemiological simulations. PLoS Comput. Biol. 18(11): 1010591 (2022) - 2021
- [j2]Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Selective network discovery via deep reinforcement learning on embedded spaces. Appl. Netw. Sci. 6(1): 24 (2021) - 2016
- [j1]Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash:
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 18(1): 39-45 (2016)
Conference and Workshop Papers
- 2024
- [c17]Josué Martínez-Martínez, Olivia Brown, Rajmonda Caceres:
Towards Robustness to Natural Variations and Distribution Shift (Student Abstract). AAAI 2024: 23579-23581 - 2023
- [c16]Donald Loveland, Rajmonda Caceres:
Network Design Through Graph Neural Networks: Identifying Challenges and Improving Performance. COMPLEX NETWORKS (1) 2023: 3-15 - 2019
- [c15]Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks. COMPLEX NETWORKS (1) 2019: 903-914 - [c14]Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock:
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. KDD 2019: 3217-3218 - 2017
- [c13]Steven Thomas Smith, Rajmonda Sulo Caceres, Kenneth D. Senne, Molly McMahon, Timothy Greer:
Network discovery using content and homophily. ICASSP 2017: 5925-5929 - [c12]Cem Safak Sahin, Rajmonda Sulo Caceres, Brandon Oselio, William M. Campbell:
Challenges and Solutions with Alignment and Enrichment of Word Embedding Models. NLDB 2017: 260-266 - 2016
- [c11]Benjamin A. Miller, Rajmonda Sulo Caceres, Steven Thomas Smith:
Intersection and convex combination in multi-source spectral planted cluster detection. GlobalSIP 2016: 365-369 - [c10]Kara Greenfield, Rajmonda Sulo Caceres, Michael Coury, Kelly Geyer, Youngjune Gwon, Jason Matterer, Alyssa C. Mensch, Cem Safak Sahin, Olga Simek:
A Reverse Approach to Named Entity Extraction and Linking in Microposts. #Microposts 2016: 67-69 - 2015
- [c9]Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda Sulo Caceres, Steven Thomas Smith, Raj Rao Nadakuditi:
Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. ACSSC 2015: 1520-1524 - [c8]Benjamin A. Miller, Stephen Kelley, Rajmonda Sulo Caceres, Steven Thomas Smith:
Residuals-based subgraph detection with cue vertices. ACSSC 2015: 1530-1534 - [c7]Christopher Ho, Mykel J. Kochenderfer, Vineet Mehta, Rajmonda Sulo Caceres:
Control of epidemics on graphs. CDC 2015: 4202-4207 - [c6]Benjamin Fish, Rajmonda Sulo Caceres:
Handling Oversampling in Dynamic Networks Using Link Prediction. ECML/PKDD (2) 2015: 671-686 - 2014
- [c5]Vineet Mehta, Rajmonda Sulo Caceres, Kevin M. Carter:
Evaluating topic quality using model clustering. CIDM 2014: 178-185 - [c4]Kevin M. Carter, Rajmonda Sulo Caceres, Ben Priest:
Latent community discovery through enterprise user search query modeling. SIGIR 2014: 871-874 - 2011
- [c3]Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman:
Temporal Scale of Processes in Dynamic Networks. ICDM Workshops 2011: 925-932 - 2010
- [c2]Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman:
Meaningful selection of temporal resolution for dynamic networks. MLG@KDD 2010: 127-136 - 2008
- [c1]Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo Caceres, Habiba, Tanya Y. Berger-Wolf:
The Impact of Structural Changes on Predictions of Diffusion in Networks. ICDM Workshops 2008: 939-948
Parts in Books or Collections
- 2008
- [p1]Robert L. Grossman, Michal Sabala, Yunhong Gu, Anushka Anand, Matt Handley, Rajmonda Sulo Caceres, Lee Wilkinson:
Discovering Emergent Behavior from Network Packet Data. Next Generation of Data Mining 2008
Informal and Other Publications
- 2023
- [i14]Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres:
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks. CoRR abs/2310.07979 (2023) - [i13]Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee, Tina Eliassi-Rad, Rajmonda Sulo Caceres:
GRASP: Accelerating Shortest Path Attacks via Graph Attention. CoRR abs/2310.07980 (2023) - [i12]Donald Loveland, Rajmonda Caceres:
Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance. CoRR abs/2310.17100 (2023) - 2022
- [i11]Virginia H. Goodwin, Rajmonda Sulo Caceres:
System Analysis for Responsible Design of Modern AI/ML Systems. CoRR abs/2204.08836 (2022) - [i10]Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Tristan Bepler, Rajmonda Sulo Caceres:
Antibody Representation Learning for Drug Discovery. CoRR abs/2210.02881 (2022) - 2019
- [i9]Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks. CoRR abs/1909.07294 (2019) - 2017
- [i8]Cem Safak Sahin, Rajmonda Sulo Caceres, Brandon Oselio, William M. Campbell:
Consistent Alignment of Word Embedding Models. CoRR abs/1702.07680 (2017) - [i7]Benjamin Fish, Rajmonda Sulo Caceres:
A supervised approach to time scale detection in dynamic networks. CoRR abs/1702.07752 (2017) - [i6]Lin Li, William M. Campbell, Rajmonda Sulo Caceres:
Graph Model Selection via Random Walks. CoRR abs/1704.05516 (2017) - 2016
- [i5]Dane Taylor, Rajmonda Sulo Caceres, Peter J. Mucha:
Detectability of small communities in multilayer and temporal networks: Eigenvector localization, layer aggregation, and time series discretization. CoRR abs/1609.04376 (2016) - [i4]Rajmonda Sulo Caceres, Leah Weiner, Matthew C. Schmidt, Benjamin A. Miller, William M. Campbell:
Model Selection Framework for Graph-based data. CoRR abs/1609.04859 (2016) - 2015
- [i3]Benjamin Fish, Rajmonda Sulo Caceres:
Handling oversampling in dynamic networks using link prediction. CoRR abs/1504.06667 (2015) - 2014
- [i2]Rajmonda Caceres, Kevin Carter, Jeremy Kun:
A Boosting Approach to Learning Graph Representations. CoRR abs/1401.3258 (2014) - [i1]Jeremy Kun, Rajmonda Caceres, Kevin Carter:
Locally Boosted Graph Aggregation for Community Detection. CoRR abs/1405.3210 (2014)
Coauthor Index
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