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ORCIDJose Cadena
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2020 – today
- 2023
[i3]Brian R. Bartoldson
, Yeping Hu, Amar Saini, Jose Cadena, Yucheng Fu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen:
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics. CoRR abs/2304.00338 (2023)- 2022
- [j9]Braden C. Soper, Jose Cadena, Sam Nguyen, Kwan Ho Ryan Chan, Paul Kiszka, Lucas Aaron Womack, Mark Work, Joan M. Duggan, Steven T. Haller, Jennifer A. Hanrahan, David J. Kennedy, Deepa Mukundan, Priyadip Ray:
Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors. J. Am. Medical Informatics Assoc. 29(5): 864-872 (2022) - [c17]Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn:
Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling. IEEECONF 2022: 371-375 - 2021
- [j8]Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn:
Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks. IEEE Trans. Signal Process. 69: 1713-1724 (2021) - [c16]Jose Cadena, Priyadip Ray, Ryan A. Goldhahn:
Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks. ACSCC 2021: 150-155 - [c15]Alexander Ladd, Kwan Ho Ryan Chan, Sam Nguyen, Jose Cadena, Brenda Ng:
End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data. e-Energy 2021: 475-482 - 2020
- [j7]Jose Cadena, Ana Paula Sales, Doris Lam, Heather A. Enright, Elizabeth K. Wheeler, Nicholas O. Fischer:
Modeling the temporal network dynamics of neuronal cultures. PLoS Comput. Biol. 16(5) (2020) - [c14]Jose Cadena, Achla Marathe, Anil Vullikanti:
Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. AAMAS 2020: 1786-1788 - [c13]Jose Cadena, Achla Marathe, Anil Vullikanti:
Critical Spatial Clusters for Vaccine Preventable Diseases. SBP-BRiMS 2020: 213-223
2010 – 2019
- 2019
- [j6]Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti:
MIDAS: Multilinear detection at scale. J. Parallel Distributed Comput. 132: 363-382 (2019) - [j5]Jose Cadena, David Falcone, Achla Marathe, Anil Vullikanti:
Discovery of under immunized spatial clusters using network scan statistics. BMC Medical Informatics Decis. Mak. 19(1): 28:1-28:14 (2019) - [j4]Jose Cadena, Feng Chen, Anil Vullikanti:
Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints. ACM Trans. Knowl. Discov. Data 13(2): 20:1-20:33 (2019) - [c12]Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo:
Collaborative Inference Of Missing Smart Electric Meter Data For A Building. MLSP 2019: 1-6 - 2018
- [b1]Jose Cadena:
Finding Interesting Subgraphs with Guarantees. Virginia Tech, Blacksburg, VA, USA, 2018 - [j3]Jose Cadena, Feng Chen, Anil Vullikanti:
Graph Anomaly Detection Based on Steiner Connectivity and Density. Proc. IEEE 106(5): 829-845 (2018) - [c11]Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng:
Graph Scan Statistics With Uncertainty. AAAI 2018: 2771-2778 - [c10]Jose Cadena, Anil Vullikanti:
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. AAAI 2018: 2779-2786 - [c9]Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti:
MIDAS: Multilinear Detection at Scale. IPDPS 2018: 2-11 - 2017
- [j2]Giuliana Pallotta, Goran Konjevod, Jose Cadena, Phan Nguyen:
Context-aided analysis of community evolution in networks. Stat. Anal. Data Min. 10(5): 290-311 (2017) - [c8]Jose Cadena, Saliya Ekanayake, Anil Vullikanti:
Fast graph scan statistics optimization using algebraic fingerprints. IEEE BigData 2017: 905-910 - [c7]Jose Cadena, Feng Chen, Anil Vullikanti:
Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM 2017: 624-632 - 2016
- [j1]Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan:
Multi-source models for civil unrest forecasting. Soc. Netw. Anal. Min. 6(1): 50:1-50:25 (2016) - [c6]Keith Bissett, Jose Cadena, Maleq Khan, Chris J. Kuhlman, Bryan L. Lewis, Pyrros A. Telionis:
An integrated agent-based approach for modeling disease spread in large populations to support health informatics. BHI 2016: 629-632 - [c5]Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal:
On Dense Subgraphs in Signed Network Streams. ICDM 2016: 51-60 - [c4]Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan:
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. KDD 2016: 205-214 - [i2]Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak Gupta, David Mares, Naren Ramakrishnan:
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. CoRR abs/1604.00033 (2016) - 2015
- [c3]Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan:
Combining Heterogeneous Data Sources for Civil Unrest Forecasting. ASONAM 2015: 258-265 - 2014
- [c2]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808 - [c1]Yaser Keneshloo, Jose Cadena, Gizem Korkmaz, Naren Ramakrishnan:
Detecting and forecasting domestic political crises: a graph-based approach. WebSci 2014: 192-196 - [i1]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014)
Coauthor Index
aka: Anil Kumar S. Vullikanti
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