Jose Cadena

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 25

Top Topics

Health Informatics

Bayesian Learning

Top Venues

Publications

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 (2023)
Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn
Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling. IEEECONF (2022)
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) (2022)
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 (2021)
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)
Jose Cadena, Priyadip Ray, Ryan A. Goldhahn
Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks. ACSCC (2021)
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)
Jose Cadena, Achla Marathe, Anil Vullikanti
Critical Spatial Clusters for Vaccine Preventable Diseases. SBP-BRiMS (2020)
Jose Cadena, Achla Marathe, Anil Vullikanti
Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. AAMAS (2020)
Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti
MIDAS: Multilinear detection at scale. J. Parallel Distributed Comput. 132 (2019)
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) (2019)
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) (2019)
Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo
Collaborative Inference Of Missing Smart Electric Meter Data For A Building. MLSP (2019)
Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti
MIDAS: Multilinear Detection at Scale. IPDPS (2018)
Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng
Graph Scan Statistics With Uncertainty. AAAI (2018)
Jose Cadena, Anil Vullikanti
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. AAAI (2018)
Jose Cadena, Feng Chen, Anil Vullikanti
Graph Anomaly Detection Based on Steiner Connectivity and Density. Proc. IEEE 106 (5) (2018)
Jose Cadena, Saliya Ekanayake, Anil Vullikanti
Fast graph scan statistics optimization using algebraic fingerprints. IEEE BigData (2017)
Jose Cadena, Feng Chen, Anil Vullikanti
Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM (2017)
Giuliana Pallotta, Goran Konjevod, Jose Cadena, Phan Nguyen
Context-aided analysis of community evolution in networks. Stat. Anal. Data Min. 10 (5) (2017)
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)
Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal
On Dense Subgraphs in Signed Network Streams. ICDM (2016)
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) (2016)
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)
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 (2016)
Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
Combining Heterogeneous Data Sources for Civil Unrest Forecasting. ASONAM (2015)
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 (2014)
Yaser Keneshloo, Jose Cadena, Gizem Korkmaz, Naren Ramakrishnan
Detecting and forecasting domestic political crises: a graph-based approach. WebSci (2014)
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)