Jose Cadena

33 papers A* 5A 3B 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics.
CoRR
Haonan Zhu, Mary Silva, Jose Cadena, Braden Soper, Michal Lisicki, Braian Peetoom, Sergio E. Baranzini, Shivshankar Sundaram, Priyadip Ray, Jeff Drocco
2024 J jnl
Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets.
Frontiers Artif. Intell.
Bo Lei, Yucheng Fu, Jose Cadena, Amar Saini, Yeping Hu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen
2024 J jnl
Comparative study of machine learning techniques for post-combustion carbon capture systems.
Frontiers Artif. Intell.
Yeping Hu, Bo Lei, Yash Girish Shah, Jose Cadena, Amar Saini, Grigorios Panagakos, Phan Nguyen
2023 J jnl
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics.
CoRR
Brian R. Bartoldson, Yeping Hu, Amar Saini, Jose Cadena, Yucheng Fu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen
2022 — conf
Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling.
IEEECONF
Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn
2022 J jnl
Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors.
J. Am. Medical Informatics Assoc.
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
2021 — conf
Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks.
ACSCC
Jose Cadena, Priyadip Ray, Ryan A. Goldhahn
2021 — conf
End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data.
e-Energy
Alexander Ladd, Kwan Ho Ryan Chan, Sam Nguyen, Jose Cadena, Brenda Ng
2021 J jnl
Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks.
IEEE Trans. Signal Process.
Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn
2020 — conf
Critical Spatial Clusters for Vaccine Preventable Diseases.
SBP-BRiMS
Jose Cadena, Achla Marathe, Anil Vullikanti
2020 A conf
Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination.
AAMAS
Jose Cadena, Achla Marathe, Anil Vullikanti
2020 J jnl
Modeling the temporal network dynamics of neuronal cultures.
PLoS Comput. Biol.
Jose Cadena, Ana Paula Sales, Doris Lam, Heather A. Enright, Elizabeth K. Wheeler, Nicholas O. Fischer
2019 — conf
Collaborative Inference Of Missing Smart Electric Meter Data For A Building.
MLSP
Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo
2019 J jnl
Discovery of under immunized spatial clusters using network scan statistics.
BMC Medical Informatics Decis. Mak.
Jose Cadena, David Falcone, Achla Marathe, Anil Vullikanti
2019 J jnl
MIDAS: Multilinear detection at scale.
J. Parallel Distributed Comput.
Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti
2019 J jnl
Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints.
ACM Trans. Knowl. Discov. Data
Jose Cadena, Feng Chen, Anil Vullikanti
2018 — —
Finding Interesting Subgraphs with Guarantees.
Jose Cadena
2018 J jnl
Graph Anomaly Detection Based on Steiner Connectivity and Density.
Proc. IEEE
Jose Cadena, Feng Chen, Anil Vullikanti
2018 A* conf
Graph Scan Statistics With Uncertainty.
AAAI
Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng
2018 A conf
MIDAS: Multilinear Detection at Scale.
IPDPS
Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti
2018 A* conf
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications.
AAAI
Jose Cadena, Anil Vullikanti
2017 J jnl
Context-aided analysis of community evolution in networks.
Stat. Anal. Data Min.
Giuliana Pallotta, Goran Konjevod, Jose Cadena, Phan Nguyen
2017 — conf
Fast graph scan statistics optimization using algebraic fingerprints.
IEEE BigData
Jose Cadena, Saliya Ekanayake, Anil Vullikanti
2017 A conf
Near-Optimal and Practical Algorithms for Graph Scan Statistics.
SDM
Jose Cadena, Feng Chen, Anil Vullikanti
2016 — conf
An integrated agent-based approach for modeling disease spread in large populations to support health informatics.
BHI
Keith Bissett, Jose Cadena, Maleq Khan, Chris J. Kuhlman, Bryan L. Lewis, Pyrros A. Telionis
2016 A* conf
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
KDD
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
2016 J jnl
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
CoRR
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
2016 J jnl
Multi-source models for civil unrest forecasting.
Soc. Netw. Anal. Min.
Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
2016 A* conf
On Dense Subgraphs in Signed Network Streams.
ICDM
Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal
2015 B conf
Combining Heterogeneous Data Sources for Civil Unrest Forecasting.
ASONAM
Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
2014 J jnl
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators.
CoRR
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
2014 A* conf
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
KDD
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
2014 — conf
Detecting and forecasting domestic political crises: a graph-based approach.
WebSci
Yaser Keneshloo, Jose Cadena, Gizem Korkmaz, Naren Ramakrishnan